Job Sequence Scheduling in Cloud Computing

1. Area
Cloud Computing

2. Guided By
Prof. Chaitali Chandankhade
Presented By
Ms.Samruddhi Wagh
ME(IT)12418
MIT COLLEGE OF ENGINEERING KOTHRUD PUNE

3. Agenda
• Cloud Computing
• Job Sequence Scheduling
•Virtualization
• Energy Conservation for Data Centers
• Network Security And Protection

4. Cloud Computing
• Cloud Computing is the on demand network access
to shared pool or computing resources such as:
•
•
•
•
•
Network
Server
Storage
Application
Services

5. Clouds offer Subscription-Oriented IT
Services
Public Cloud
Cloud
Manager
Clients
Private
Cloud
Other
Cloud Services
Govt.
Cloud Services

6. Cloud Architecture

7. Deployment Models
• Four deployment models of cloud computing:
•
•
•
•
Public Cloud
Community Cloud
Hybrid Cloud
Private Cloud

8. Service Models
• Three service models of cloud computing:
•
•
•
Cloud Infrastructure as a Service
Cloud Software as a Service
Cloud Platform as a Service

9. Characteristics
• On-demand self-service
• Broad network access
• Resource pooling
• Rapid elasticity
• Measured service

10. Job Sequence Scheduling
• Map and Reduce
•
Reduce perform three steps:
•
•
•
•
Copy
Sort
Reduce
Hadoop Distributed File System(HDFS)
•
•
Reliability
Fault Tolerance
• Resource Estimation Model

11. Job Sequence Scheduling Through
Virtualization
• Resource Configuration
•
•
•
•
Configuration Manager(CM)
Machine Manager(MM)
Release Queue(RQ)
Assign Queue(AQ)
• Completion Time Based Scheduler
•
•
Virtual Cluster
Physical Cluster

12. Completion Time Based Scheduler

13. Virtualization
• Flexibility and Energy conservation
• Datacenter Automation and Management
• Cloud Interoperability
• Enterprise Datacenter to Cloud Migrations
• Capacity Planning
• Detecting Compromised Virtual Machines
• Virtual Network Access Control

14. Virtualization Architecture
• Guest OS
• PV(Para Virtualization)
• FV(Full Virtualization)
• Host OS
• Virtual Machine Monitor
• Hypervisor
• KVM(Kernel Based Virtual
Machine)
• Intel-VT
• AMD-V

15. Energy Conservation for Datacenters
• Economy of scale due to elimination of
redundancies
• Efficient resource management by the Cloud
provider
• Improved utilization of the resources
• Location independence
• Scaling up and down

16. System Architecture

17. Network Security and Protection
• Cloud computing is the next generation of Network
computing
• The Security of Virtual Network in virtualization
environment
• Xen platform
• Virtual Network Model

18. Network Security Iaas
•Xen offers two modes for users to
configure virtual network
• Bridge
• Virtual Machine(VM)
• Dynamic Host Configuration Protocol(DHCP)
• Virtual Interface(VIF)
• Route
• MAC(Memory Allocation)
• IP(Internet Protocol)

19. Bridge

20. Route

21. Virtual Network Model

22. Conclusion
• To reduce energy consumption of data centers one
can consolidate computation workloads of jobs onto a
minimum subset of servers
• To improve the security of the inter-communication
among virtual machines Can be deployed in any
physical server that supports virtualization
• To maintain flexibility and Energy Conservation

23. References
• Anton Beloglazov and Rajkumar Buyya. Energy efficient
resource management in virtualized cloud data centers. In
Proceedings of the 2010 10th IEEE/ACM International Conference
on Cluster, Cloud and Grid Computing, CCGRID
’10, pages 826–831, Washington, DC, USA, 2010. IEEE
Computer
•Amazon Elastic Compute Cloud (Amazon EC2),
http://aws.amazon.com/ec2/. Society.
•Xen credit scheduler. http://wiki.xen.org/wiki/Credit_Scheduler.
• J. Wolf, et al. FLEX: A Slot Allocation Scheduling Optimizer for MapReduce
Workloads. In Procof Middleware’2010.
•VMsafe: A Security Technology for Virtualized Environments,
http://www.vmware.com/overview/security/vmsafe

24. Thank You !!
Any Q ?