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Old Dominion University




                Taking
                T ki VANET to the Clouds
                           t th Cl d



                                          M. Abuelela
                                          S. Olariu

                                          Old Dominion University

                                     Work
                                     W k supported b NSF grant CNS 0721586.
                                               t d by        t

MoMM 2010, Paris, France, November 2010        1                               11/19/2010
Old Dominion University



                                          Outline


• What is VANET?
• Wh t i cloud computing?
  What is l d       ti ?
• Why vehicular clouds?
• Potential applications
• Research challenges
• A call to action



MoMM 2010, Paris, France, November 2010      2                       11/19/2010
Old Dominion University




                                                VANET – the dream




F. Doetzer, Privacy Issues in Vehicular Ad Hoc Networks



MoMM 2010, Paris, France, November 2010                                              11/19/2010
                                                                                                  3
Old Dominion University



              VANET – the killer app
• Huge potential societal impact
• An overnight success with
        automotive industry
                          y
        various government agencies (USDOT, FCC, etc)
        standardization bodies: ASTM, IEEE, SAE, ISO
• Emergence of projects and initiatives
             f
        Car-2-Car communication consortium
        Vehicle Safety Consortium
        Vehicle Infrastructure Integration
        Networks on Wheels


  MoMM 2010, Paris, France, November 2010                        11/19/2010
                                                                              4
Old Dominion University



                               VANET – in a nutshell

• Main characteristics
         uses vehicles as network nodes
         vehicles move at will relative to each other but
         within the constraints of the road infrastructure
• Communications
         Vehicle-to-Vehicle (2V)
              zero-infrastructure
         Vehicle-to-Infrastructure (V2I)
              roadside devices
         WAVE/DSRC/802.11p


 MoMM 2010, Paris, France, November 2010                                11/19/2010
                                                                                     5
Old Dominion University



                        In case you haven’t noticed


• Vehicles are becoming more sophisticated
       powerful on board computing capabilities
                 on-board
       tons of on-board memory
       significant communication capabilities
       no power limitations
• Computations capabilities supported by
       hosts of sensors and actuators
       on-board radar and GPS




MoMM 2010, Paris, France, November 2010   6                        11/19/2010
Old Dominion University



                     Smart vehicles are upon us




MoMM 2010, Paris, France, November 2010   7                     11/19/2010
Old Dominion University



                        Cloud computing – the idea

• Basic idea: “why buy when you can rent?”
        exactly what you need
        exactly when you need it
• An IT paradigm shift suggested by
        a better understanding of virtualization
        low cost high-speed Internet
        advances in parallel and distributed databases
        excess hardware/software/middleware capacity
• Very appealing to startups and other players
        little upfront investment
        virtually no maintenance costs
MoMM 2010, Paris, France, November 2010   8                               11/19/2010
Old Dominion University



                            Look Ma who’s playing
• The cloud computing paradigm offers new opportunities for
  developers and infrastructure providers
• The idea of decoupling computational assets from physical
  infrastructure poses numerous research challenges
  i f                                    h h ll
         think on-line service delivery + security+ privacy
• Key players
        Amazon
        Microsoft
        Google
        Dell
        IBM
• Who is running cloud services?
        initially it was mostly the SMB but this is no longer the case
MoMM 2010, Paris, France, November 2010   9                            11/19/2010
Old Dominion University



                         Cloud computing services


• There are three broad ways of viewing cloud computing-
                          y           g          p    g
  based services
        Infrastructure as a Service (IaaS) also known as Hardware as a
        Service (HaaS)
                 (      )
        Software as a Service (SaaS)
        Platform as a Service (PaaS)
• A cloud computing i evolving b l
  As l d         ti is    l i by leaps and b
                                           d bounds th
                                                 d the
  boundaries between the services are nebulous and still
  evolving

MoMM 2010, Paris, France, November 2010   10                             11/19/2010
Old Dominion University



                  Infrastructure as a Service – IaaS

• Infrastructure as a Service (IaaS): also knows as Hardware
  as a service HaaS
       suggested by a better understanding of virtualization
       a provision model in which an organization outsources its own
       equipment to support client operations, including storage, hardware,
       servers and networking components
       the service provider owns the equipment and is responsible for
       housing, running and maintaining it
       the client typically pays on a per-use basis
       e.g. desktop virtualization that offer fully customized desktop
       computers along with software for standard applications
            p           g                                pp


MoMM 2010, Paris, France, November 2010   11                            11/19/2010
Old Dominion University



                       Software as a Service – IaaS

• Software as a Service (SaaS)
       also known as software on demand
       with SaaS, a provider licenses an application to customers as a
       service on demand or pay-as-you-go
       enables users to access applications remotely over the Web
• Advantages include
       open-source APIs
       pre configured
       pre-configured software solutions
       helps automate many aspects of running a business
             sales force automation, customer management, etc



MoMM 2010, Paris, France, November 2010   12                                11/19/2010
Old Dominion University



                      Platform as a Service – PaaS

• Platform as a Service (PaaS): Involves the delivery of a computing
   platform and solution stack as a service
       PaaS facilitates the deployment of applications without the cost and
       complexity of buying and managing the underlying hardware and
       software
       PaaS provides the facilities required to support the complete life cycle of
       building and delivering web applications and services
       PaaS may include
            facilities for application design, application development, testing,
            deployment and hosting as well as application services such as team
            collaboration, web service integration , database integration, security,
            scalability, storage, etc



MoMM 2010, Paris, France, November 2010     13                                    11/19/2010
Old Dominion University



              Cloud computing – a broader picture

• Virtualization + excess capacity implies that cloud services
   can give the user on-demand (virtual) computer resources
• More generally, when you have excess capacity consider
        generally
  lending it out to whose who need it (are ready to pay for it!)
• What are the big issues that shape adoption?
        security
        privacy
        reliability
        operational control




MoMM 2010, Paris, France, November 2010   14                    11/19/2010
Old Dominion University



                     Vehicular clouds – motivation

• It is expected that in the near future (most of) the vehicles will
  have a quasi-permanent Internet presence
• O b d capabilities are lik l t remain under-utilized b
  On-board         biliti       likely to     i     d    tili d by
  road-safety applications
• Thus, VANET will start to support other services in order to
         ,                         pp
  achieve the full potential of capabilities
• What are people talking about?
        location-specific
        location specific services to the traveler
        multimedia content delivery
        p2p applications
• Can we be bolder than that?
MoMM 2010, Paris, France, November 2010   15                          11/19/2010
Old Dominion University



                                  Vehicular clouds


• To keep things simple, we focus on vehicular IaaS
• In the next few slides we illustrate our vision by discussing
  applications that are feasible today
• In the first two scenarios the resources are mostly static
• In the others, the resources are more dynamic




MoMM 2010, Paris, France, November 2010   16                          11/19/2010
Old Dominion University




                           A cloud in your parking lot

• Consider the parking lot of a typical enterprise on a typical
  workday
    • hundreds/thousands cars go
      unused for hours on end
• Why rent computational/storage
  resources elsewhere?
    • you have them in your own backyard
    • they are yours to waste!




  MoMM 2010, Paris, France, November 2010   17                       11/19/2010
Old Dominion University




                               Data center at the mall
• US statistics show that the average shopper spends between
  two and three ours at the mall
    • 65% spend more than two hours
           p
• The shopping mall may decide
  to provide pay-as-you-go
  computing services
    • by using the resources of the
      parked cars
• The shoppers cars get free
  parking + other perks in return



  MoMM 2010, Paris, France, November 2010   18                         11/19/2010
Old Dominion University



               Dynamically rescheduled traffic lights
• Imagine a sporting event attended by thousands of p p
       g         p     g             y              people
• When the game is over, everyone tries to get home as fast
  as possible
• It would be nice to reschedule
   traffic lights to help mitigate
   congestion
• Who are the players?
• The municipality
        has the authority and the code
        does not have the hardware
• The cars
        have the computational power
        lack the th it
        l k th authority and th code
                           d the d
  MoMM 2010, Paris, France, November 2010   19                     11/19/2010
Old Dominion University



                    Dynamic HoV lane designation

• A major US-DOT initiative
• The idea is to schedule HoV
  lanes in real time as required
  by traffic flow
• As before
        the municipality has the
        authority and the code
        the vehicles (stuck) in traffic
        have the computational power to
        make things happen

                                               From trekearth.com


MoMM 2010, Paris, France, November 2010   20                                          11/19/2010
Old Dominion University



                             Planned evacuations (1)

• In cases of predicted disasters, massive planned evacuations are
  often necessary in order to minimize the impact on human lives
• Once an evacuation is underway, finding available gasoline
                          underway                      gasoline,
  drinking water, shelter and medical facilities quickly becomes an
  issue
• The 2005 hurricane e ac ations in Ne Orleans and Ho ston
            h rricane evacuations New                     Houston
  have confirmed that there is no room for mistakes or
  misjudgment here




  MoMM 2010, Paris, France, November 2010   21                       11/19/2010
Old Dominion University



                             Planned evacuations (2)

• We anticipate that the vehicles
  involved in the evacuation will
  be organized into one or several
  inter-operating VC that will work
  hand in hand with the
  emergency management center
        g    y       g
• In the course of this interaction,
  the emergency managers can
  upload information about open
  shelters to the central server



  MoMM 2010, Paris, France, November 2010   22                       11/19/2010
Old Dominion University



                         Network as a Service – Naas

• Sending adds to vehicles
  proved to be big business
• Vehicles with Internet access
  can be used as a network cloud
  to reach thousands of
  customers on the move
• This is not all bad
• People can subscribe to email,
       p
  Internet access or location-
  specific services in a pay-as-
  y g
  you-go fashion

  MoMM 2010, Paris, France, November 2010   23                     11/19/2010
Old Dominion University



                            Storage as a Service (1)

• It is expected that computers in cars will have multiple
  Terabytes of storage attached to them
• This is mainly because of two reasons
        firstly, persistent storage is becoming less expensive over time, a
        Terabytes of storage costs less than $40 now, a negligible cost
        compared to the cost of the vehicle itself
              p
         secondly, cars have plenty of space to accommodate multiple hard
        drives even with today’s technology and sizes.
        needless to say that having a huge unused persistent storage sitting
        idle is a waste of resources




MoMM 2010, Paris, France, November 2010   24                              11/19/2010
Old Dominion University



                            Storage as a Service (2)

• This available storage can then be used in many
  applications in the vehicular cloud
• Referring back to the data center on the mall that we
  discussed earlier , this available storage can be rented by
  the mall management for customers over the Internet
• Another example is to use that storage in content deli er
           e ample          se                          delivery
  and p2p applications where a file is decomposed into
  several pieces, and the blocks distributed across nodes of
  the t
  th network . The interested users collect diff
             k Th i t        t d          ll t different bl k to
                                                       t blocks t
  reconstruct the file again


MoMM 2010, Paris, France, November 2010   25                         11/19/2010
Old Dominion University




                                 VC – vehicular cloud

• Vehicles are ideal candidates for nodes in clouds of various
  resources
• Vehicular Cloud (VC)
       a group of vehicles whose corporate computing, sensing,
       communication and physical resources can be coordinated and
       dynamically allocated to authorized users
• How are VCs different from the classic clouds?
       mobility
       agility
       autonomy


  MoMM 2010, Paris, France, November 2010   26                            11/19/2010
Old Dominion University




                              How are VCs different?

• Mobility: the presence of vehicles in close proximity to an event
  is often un-planned
       pooling of the resources in support of mitigating the event must occur
       spontaneously
• Agility: refers to the ability of VCs to tailor the amount of
  shared resources to the actual needs of the situation in support
  of which the VC was constituted
       agility does not exist in conventional clouds and is an important defining
        g y                                                      p              g
       characteristic of VCs
• Autonomy: refers to the decision of each vehicle to participate
  in the VC

  MoMM 2010, Paris, France, November 2010   27                               11/19/2010
Old Dominion University



                                How is an VC set up?

• The formation of an VC involves the following
       a broker elected spontaneously will attempt to form an AVC
       the broker will secure a preliminary authorization from a higher (city) forum
       the broker will inform the vehicles in the area of the received authorization and will
       invite participation in the VC.
       the cars will/or will not respond to the invitation on a purely autonomous basis
       the broker decides if a sufficient number of vehicles have volunteered and will then
       announce the formation of the VC
       the cars in the VC will pool their computational resources to form a powerful
       supercomputer that using a digital map of the area will produce a proposal
                         that,                            area,
       schedule to the higher (city) forum for approval and implementation
       once the proposal has been accepted and implemented, the VC is dissolved



  MoMM 2010, Paris, France, November 2010    28                                     11/19/2010
Old Dominion University




                        Possible AVC Architecture


                                Authorithy


                   AP                             AP
                                                                   AP




MoMM 2010, Paris, France, November 2010      29                          11/19/2010
Old Dominion University



                             VC research challenges



• To make VCs reality research is needed along the following
                reality,
  three engineering dimensions
        architectural
        functional
        f    i    l
        operational and policy




 MoMM 2010, Paris, France, November 2010   30                      11/19/2010
Old Dominion University



                         VC architectural challenges

• Elastic mobile architecture
        VC networking and protocol architecture must be developed to accommodate
        changing application demands and resource availability on the move
• Resilient architecture
        VC basic structural and composed building blocks must be designed and
        engineered to withstand structural stresses induced by the inherent instability in
           g                                                 y                        y
        the operating environment.
• Service-oriented network architecture
        contemporary layered network architectures, (e.g. the TCP/IP stack) have
        proven inadequate in face of evolving applications and technologies
        we envision the adoption of service-oriented component-based network
        architectures with intrinsic monitoring and learning capabilities


 MoMM 2010, Paris, France, November 2010     31                                    11/19/2010
Old Dominion University



                           VC functional challenges

• Enabling VC autonomy
        research is needed on developing a trustworthy base, negotiation and strategy,
        efficient communication protocols, data p
                                p        ,      processing and decision support
                                                         g                pp
        systems, etc.
• Managing highly dynamic cloud membership
        there is a critical need to efficiently manage mobility resource heterogeneity
                                                       mobility,         heterogeneity,
        trust, and vehicle membership
• Cyber-Physical control
        AVCs can be defined by their aggregated cyber and physical resources Their
                                                                      resources.
        aggregation, coordination and control are non-trivial research issues.
• Cooperation between VCs

 MoMM 2010, Paris, France, November 2010     32                                    11/19/2010
Old Dominion University



                                VC policy challenges
• Trust and trust assurance
        research is needed on developing a trustworthy base, negotiation and strategy
        formulation methodology, efficient communication protocols, data processing
• Contract-driven versus ad hoc VC
        we anticipate that the bulk of VCs will be contract-driven, where the owner of
        the vehicle or fleet consents to renting out some form of excess computational
        or storage capacity
        in addition to the contract-based form of VC, there should be possible to form a
        AVC in an ad hoc manner as necessitated by dynamically changing situations
• Effective operational policies
        In order for the AVCs to operate and inter-operate seamlessly, issues related to
        authority establishment and management, decision support and control
        structure, the establishment of accountability metrics, assessment and
                                                     y
        intervention strategies, rules and regulations, standardization, etc.

 MoMM 2010, Paris, France, November 2010    33                                   11/19/2010
Old Dominion University



                                      A call to action

• We expect cloud computing to see a phenomenal adoption
  rate and penetration of the IT market
• As cloud computing takes root it will be emulated by other
  areas
• It is only a matter of time before it will be extended to
    • vehicular assets from individual vehicles to entire fleets
    • cell phones and other commodity consumer products
• Are we ready for this paradigm shift?




 MoMM 2010, Paris, France, November 2010     34                            11/19/2010
Old Dominion University




                                          The Dump




MoMM 2010, Paris, France, November 2010      35                       11/19/2010
Old Dominion University




                        A possible AVC architecture
                          p


                                 Higher
                                authorithy

                   AP                             AP
                                                                   AP




MoMM 2010, Paris, France, November 2010      36                          11/19/2010
Old Dominion University



                                          InVeNet

• InVeNet = VANET + Intelligent Transportation Systems
       to improve traffic safety and reduce congestion
• Vehicles may provide
       weather warnings
       road conditions
       collision warning
       congestion warning
       intersection assistance



                                                  From trekearth.com
                                                          k    h



MoMM 2010, Paris, France, November 2010      37                                         11/19/2010
Old Dominion University


                                                CENTRAL CONTROL
                                                    CENTER
       TRANSIT


                                                                            DYNAMIC SIGNAL
EN-ROUTE TRAFFIC ADVISORIES               DSRC AND OTHER                       CONTROL
      AND ASSISTANCE                      COMMUNICATIONS




                                                                      911 OR OTHER
                                                                      CALL CENTER
  PRE-TRIP PLANNING



                                COMMERCIAL VEHICLE
                                   OPERATIONS                TRAVELER ASSISTANCE
                                                           VARIABLE
                                                           MESSAGE
                                                             SIGNS




MoMM 2010, Paris, France, November 2010        38                                    11/19/2010
Old Dominion University



                  InVeNet
Smart Vehicles
  On-board GPS, digital maps
  Vehicle-based environment sensors                    Dedicated Short Range
  Significant computation, storage,                      Communications (DSRC)
  communication capability                                5.850-5.925 GHz
  Not power constrained                                   V2V, V2R communication
                                                          802.11p protocol
                                                          7 channels, dedicated safety channel
                                                          6- 27 Mbps
                                                          Up to 1000 m tx range
                USDOT Vehicle Infrastructure Integration
                  Initiative
                  I iti ti
                    Public/private partnership
                    “Establishment of vehicle-to-vehicle and
                    vehicle-to-roadside communication
                    capability nationwide”
                               nationwide
                    Improve safety, reduce congestion
  MoMM 2010, Paris, France, November 2010      39                                11/19/2010
Old Dominion University




                                  Evacuation Issues




                                                  Available Resources
                                Contraflow
Travel Time




 MoMM 2010, Paris, France, November 2010     40                        11/19/2010
Old Dominion University




                        Possible AVC Architecture


                                Authorithy


                   AP                             AP
                                                                   AP




MoMM 2010, Paris, France, November 2010      41                          11/19/2010

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Taking VANET to the Clouds

  • 1. Old Dominion University Taking T ki VANET to the Clouds t th Cl d M. Abuelela S. Olariu Old Dominion University Work W k supported b NSF grant CNS 0721586. t d by t MoMM 2010, Paris, France, November 2010 1 11/19/2010
  • 2. Old Dominion University Outline • What is VANET? • Wh t i cloud computing? What is l d ti ? • Why vehicular clouds? • Potential applications • Research challenges • A call to action MoMM 2010, Paris, France, November 2010 2 11/19/2010
  • 3. Old Dominion University VANET – the dream F. Doetzer, Privacy Issues in Vehicular Ad Hoc Networks MoMM 2010, Paris, France, November 2010 11/19/2010 3
  • 4. Old Dominion University VANET – the killer app • Huge potential societal impact • An overnight success with automotive industry y various government agencies (USDOT, FCC, etc) standardization bodies: ASTM, IEEE, SAE, ISO • Emergence of projects and initiatives f Car-2-Car communication consortium Vehicle Safety Consortium Vehicle Infrastructure Integration Networks on Wheels MoMM 2010, Paris, France, November 2010 11/19/2010 4
  • 5. Old Dominion University VANET – in a nutshell • Main characteristics uses vehicles as network nodes vehicles move at will relative to each other but within the constraints of the road infrastructure • Communications Vehicle-to-Vehicle (2V) zero-infrastructure Vehicle-to-Infrastructure (V2I) roadside devices WAVE/DSRC/802.11p MoMM 2010, Paris, France, November 2010 11/19/2010 5
  • 6. Old Dominion University In case you haven’t noticed • Vehicles are becoming more sophisticated powerful on board computing capabilities on-board tons of on-board memory significant communication capabilities no power limitations • Computations capabilities supported by hosts of sensors and actuators on-board radar and GPS MoMM 2010, Paris, France, November 2010 6 11/19/2010
  • 7. Old Dominion University Smart vehicles are upon us MoMM 2010, Paris, France, November 2010 7 11/19/2010
  • 8. Old Dominion University Cloud computing – the idea • Basic idea: “why buy when you can rent?” exactly what you need exactly when you need it • An IT paradigm shift suggested by a better understanding of virtualization low cost high-speed Internet advances in parallel and distributed databases excess hardware/software/middleware capacity • Very appealing to startups and other players little upfront investment virtually no maintenance costs MoMM 2010, Paris, France, November 2010 8 11/19/2010
  • 9. Old Dominion University Look Ma who’s playing • The cloud computing paradigm offers new opportunities for developers and infrastructure providers • The idea of decoupling computational assets from physical infrastructure poses numerous research challenges i f h h ll think on-line service delivery + security+ privacy • Key players Amazon Microsoft Google Dell IBM • Who is running cloud services? initially it was mostly the SMB but this is no longer the case MoMM 2010, Paris, France, November 2010 9 11/19/2010
  • 10. Old Dominion University Cloud computing services • There are three broad ways of viewing cloud computing- y g p g based services Infrastructure as a Service (IaaS) also known as Hardware as a Service (HaaS) ( ) Software as a Service (SaaS) Platform as a Service (PaaS) • A cloud computing i evolving b l As l d ti is l i by leaps and b d bounds th d the boundaries between the services are nebulous and still evolving MoMM 2010, Paris, France, November 2010 10 11/19/2010
  • 11. Old Dominion University Infrastructure as a Service – IaaS • Infrastructure as a Service (IaaS): also knows as Hardware as a service HaaS suggested by a better understanding of virtualization a provision model in which an organization outsources its own equipment to support client operations, including storage, hardware, servers and networking components the service provider owns the equipment and is responsible for housing, running and maintaining it the client typically pays on a per-use basis e.g. desktop virtualization that offer fully customized desktop computers along with software for standard applications p g pp MoMM 2010, Paris, France, November 2010 11 11/19/2010
  • 12. Old Dominion University Software as a Service – IaaS • Software as a Service (SaaS) also known as software on demand with SaaS, a provider licenses an application to customers as a service on demand or pay-as-you-go enables users to access applications remotely over the Web • Advantages include open-source APIs pre configured pre-configured software solutions helps automate many aspects of running a business sales force automation, customer management, etc MoMM 2010, Paris, France, November 2010 12 11/19/2010
  • 13. Old Dominion University Platform as a Service – PaaS • Platform as a Service (PaaS): Involves the delivery of a computing platform and solution stack as a service PaaS facilitates the deployment of applications without the cost and complexity of buying and managing the underlying hardware and software PaaS provides the facilities required to support the complete life cycle of building and delivering web applications and services PaaS may include facilities for application design, application development, testing, deployment and hosting as well as application services such as team collaboration, web service integration , database integration, security, scalability, storage, etc MoMM 2010, Paris, France, November 2010 13 11/19/2010
  • 14. Old Dominion University Cloud computing – a broader picture • Virtualization + excess capacity implies that cloud services can give the user on-demand (virtual) computer resources • More generally, when you have excess capacity consider generally lending it out to whose who need it (are ready to pay for it!) • What are the big issues that shape adoption? security privacy reliability operational control MoMM 2010, Paris, France, November 2010 14 11/19/2010
  • 15. Old Dominion University Vehicular clouds – motivation • It is expected that in the near future (most of) the vehicles will have a quasi-permanent Internet presence • O b d capabilities are lik l t remain under-utilized b On-board biliti likely to i d tili d by road-safety applications • Thus, VANET will start to support other services in order to , pp achieve the full potential of capabilities • What are people talking about? location-specific location specific services to the traveler multimedia content delivery p2p applications • Can we be bolder than that? MoMM 2010, Paris, France, November 2010 15 11/19/2010
  • 16. Old Dominion University Vehicular clouds • To keep things simple, we focus on vehicular IaaS • In the next few slides we illustrate our vision by discussing applications that are feasible today • In the first two scenarios the resources are mostly static • In the others, the resources are more dynamic MoMM 2010, Paris, France, November 2010 16 11/19/2010
  • 17. Old Dominion University A cloud in your parking lot • Consider the parking lot of a typical enterprise on a typical workday • hundreds/thousands cars go unused for hours on end • Why rent computational/storage resources elsewhere? • you have them in your own backyard • they are yours to waste! MoMM 2010, Paris, France, November 2010 17 11/19/2010
  • 18. Old Dominion University Data center at the mall • US statistics show that the average shopper spends between two and three ours at the mall • 65% spend more than two hours p • The shopping mall may decide to provide pay-as-you-go computing services • by using the resources of the parked cars • The shoppers cars get free parking + other perks in return MoMM 2010, Paris, France, November 2010 18 11/19/2010
  • 19. Old Dominion University Dynamically rescheduled traffic lights • Imagine a sporting event attended by thousands of p p g p g y people • When the game is over, everyone tries to get home as fast as possible • It would be nice to reschedule traffic lights to help mitigate congestion • Who are the players? • The municipality has the authority and the code does not have the hardware • The cars have the computational power lack the th it l k th authority and th code d the d MoMM 2010, Paris, France, November 2010 19 11/19/2010
  • 20. Old Dominion University Dynamic HoV lane designation • A major US-DOT initiative • The idea is to schedule HoV lanes in real time as required by traffic flow • As before the municipality has the authority and the code the vehicles (stuck) in traffic have the computational power to make things happen From trekearth.com MoMM 2010, Paris, France, November 2010 20 11/19/2010
  • 21. Old Dominion University Planned evacuations (1) • In cases of predicted disasters, massive planned evacuations are often necessary in order to minimize the impact on human lives • Once an evacuation is underway, finding available gasoline underway gasoline, drinking water, shelter and medical facilities quickly becomes an issue • The 2005 hurricane e ac ations in Ne Orleans and Ho ston h rricane evacuations New Houston have confirmed that there is no room for mistakes or misjudgment here MoMM 2010, Paris, France, November 2010 21 11/19/2010
  • 22. Old Dominion University Planned evacuations (2) • We anticipate that the vehicles involved in the evacuation will be organized into one or several inter-operating VC that will work hand in hand with the emergency management center g y g • In the course of this interaction, the emergency managers can upload information about open shelters to the central server MoMM 2010, Paris, France, November 2010 22 11/19/2010
  • 23. Old Dominion University Network as a Service – Naas • Sending adds to vehicles proved to be big business • Vehicles with Internet access can be used as a network cloud to reach thousands of customers on the move • This is not all bad • People can subscribe to email, p Internet access or location- specific services in a pay-as- y g you-go fashion MoMM 2010, Paris, France, November 2010 23 11/19/2010
  • 24. Old Dominion University Storage as a Service (1) • It is expected that computers in cars will have multiple Terabytes of storage attached to them • This is mainly because of two reasons firstly, persistent storage is becoming less expensive over time, a Terabytes of storage costs less than $40 now, a negligible cost compared to the cost of the vehicle itself p secondly, cars have plenty of space to accommodate multiple hard drives even with today’s technology and sizes. needless to say that having a huge unused persistent storage sitting idle is a waste of resources MoMM 2010, Paris, France, November 2010 24 11/19/2010
  • 25. Old Dominion University Storage as a Service (2) • This available storage can then be used in many applications in the vehicular cloud • Referring back to the data center on the mall that we discussed earlier , this available storage can be rented by the mall management for customers over the Internet • Another example is to use that storage in content deli er e ample se delivery and p2p applications where a file is decomposed into several pieces, and the blocks distributed across nodes of the t th network . The interested users collect diff k Th i t t d ll t different bl k to t blocks t reconstruct the file again MoMM 2010, Paris, France, November 2010 25 11/19/2010
  • 26. Old Dominion University VC – vehicular cloud • Vehicles are ideal candidates for nodes in clouds of various resources • Vehicular Cloud (VC) a group of vehicles whose corporate computing, sensing, communication and physical resources can be coordinated and dynamically allocated to authorized users • How are VCs different from the classic clouds? mobility agility autonomy MoMM 2010, Paris, France, November 2010 26 11/19/2010
  • 27. Old Dominion University How are VCs different? • Mobility: the presence of vehicles in close proximity to an event is often un-planned pooling of the resources in support of mitigating the event must occur spontaneously • Agility: refers to the ability of VCs to tailor the amount of shared resources to the actual needs of the situation in support of which the VC was constituted agility does not exist in conventional clouds and is an important defining g y p g characteristic of VCs • Autonomy: refers to the decision of each vehicle to participate in the VC MoMM 2010, Paris, France, November 2010 27 11/19/2010
  • 28. Old Dominion University How is an VC set up? • The formation of an VC involves the following a broker elected spontaneously will attempt to form an AVC the broker will secure a preliminary authorization from a higher (city) forum the broker will inform the vehicles in the area of the received authorization and will invite participation in the VC. the cars will/or will not respond to the invitation on a purely autonomous basis the broker decides if a sufficient number of vehicles have volunteered and will then announce the formation of the VC the cars in the VC will pool their computational resources to form a powerful supercomputer that using a digital map of the area will produce a proposal that, area, schedule to the higher (city) forum for approval and implementation once the proposal has been accepted and implemented, the VC is dissolved MoMM 2010, Paris, France, November 2010 28 11/19/2010
  • 29. Old Dominion University Possible AVC Architecture Authorithy AP AP AP MoMM 2010, Paris, France, November 2010 29 11/19/2010
  • 30. Old Dominion University VC research challenges • To make VCs reality research is needed along the following reality, three engineering dimensions architectural functional f i l operational and policy MoMM 2010, Paris, France, November 2010 30 11/19/2010
  • 31. Old Dominion University VC architectural challenges • Elastic mobile architecture VC networking and protocol architecture must be developed to accommodate changing application demands and resource availability on the move • Resilient architecture VC basic structural and composed building blocks must be designed and engineered to withstand structural stresses induced by the inherent instability in g y y the operating environment. • Service-oriented network architecture contemporary layered network architectures, (e.g. the TCP/IP stack) have proven inadequate in face of evolving applications and technologies we envision the adoption of service-oriented component-based network architectures with intrinsic monitoring and learning capabilities MoMM 2010, Paris, France, November 2010 31 11/19/2010
  • 32. Old Dominion University VC functional challenges • Enabling VC autonomy research is needed on developing a trustworthy base, negotiation and strategy, efficient communication protocols, data p p , processing and decision support g pp systems, etc. • Managing highly dynamic cloud membership there is a critical need to efficiently manage mobility resource heterogeneity mobility, heterogeneity, trust, and vehicle membership • Cyber-Physical control AVCs can be defined by their aggregated cyber and physical resources Their resources. aggregation, coordination and control are non-trivial research issues. • Cooperation between VCs MoMM 2010, Paris, France, November 2010 32 11/19/2010
  • 33. Old Dominion University VC policy challenges • Trust and trust assurance research is needed on developing a trustworthy base, negotiation and strategy formulation methodology, efficient communication protocols, data processing • Contract-driven versus ad hoc VC we anticipate that the bulk of VCs will be contract-driven, where the owner of the vehicle or fleet consents to renting out some form of excess computational or storage capacity in addition to the contract-based form of VC, there should be possible to form a AVC in an ad hoc manner as necessitated by dynamically changing situations • Effective operational policies In order for the AVCs to operate and inter-operate seamlessly, issues related to authority establishment and management, decision support and control structure, the establishment of accountability metrics, assessment and y intervention strategies, rules and regulations, standardization, etc. MoMM 2010, Paris, France, November 2010 33 11/19/2010
  • 34. Old Dominion University A call to action • We expect cloud computing to see a phenomenal adoption rate and penetration of the IT market • As cloud computing takes root it will be emulated by other areas • It is only a matter of time before it will be extended to • vehicular assets from individual vehicles to entire fleets • cell phones and other commodity consumer products • Are we ready for this paradigm shift? MoMM 2010, Paris, France, November 2010 34 11/19/2010
  • 35. Old Dominion University The Dump MoMM 2010, Paris, France, November 2010 35 11/19/2010
  • 36. Old Dominion University A possible AVC architecture p Higher authorithy AP AP AP MoMM 2010, Paris, France, November 2010 36 11/19/2010
  • 37. Old Dominion University InVeNet • InVeNet = VANET + Intelligent Transportation Systems to improve traffic safety and reduce congestion • Vehicles may provide weather warnings road conditions collision warning congestion warning intersection assistance From trekearth.com k h MoMM 2010, Paris, France, November 2010 37 11/19/2010
  • 38. Old Dominion University CENTRAL CONTROL CENTER TRANSIT DYNAMIC SIGNAL EN-ROUTE TRAFFIC ADVISORIES DSRC AND OTHER CONTROL AND ASSISTANCE COMMUNICATIONS 911 OR OTHER CALL CENTER PRE-TRIP PLANNING COMMERCIAL VEHICLE OPERATIONS TRAVELER ASSISTANCE VARIABLE MESSAGE SIGNS MoMM 2010, Paris, France, November 2010 38 11/19/2010
  • 39. Old Dominion University InVeNet Smart Vehicles On-board GPS, digital maps Vehicle-based environment sensors Dedicated Short Range Significant computation, storage, Communications (DSRC) communication capability 5.850-5.925 GHz Not power constrained V2V, V2R communication 802.11p protocol 7 channels, dedicated safety channel 6- 27 Mbps Up to 1000 m tx range USDOT Vehicle Infrastructure Integration Initiative I iti ti Public/private partnership “Establishment of vehicle-to-vehicle and vehicle-to-roadside communication capability nationwide” nationwide Improve safety, reduce congestion MoMM 2010, Paris, France, November 2010 39 11/19/2010
  • 40. Old Dominion University Evacuation Issues Available Resources Contraflow Travel Time MoMM 2010, Paris, France, November 2010 40 11/19/2010
  • 41. Old Dominion University Possible AVC Architecture Authorithy AP AP AP MoMM 2010, Paris, France, November 2010 41 11/19/2010