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Exploiting Rate less Codes in Cloud Storage Systems
Abstract:
Block-Level Cloud Storage (BLCS) offers to users and applications the
access to persistent block storage devices (virtual disks) that can be directly
accessed and used as if they were raw physical disks. In this paper we
devise ENIGMA, architecture for the back-end of BLCS systems able to
provide adequate levels of access and transfer performance, availability,
integrity, and confidentiality, for the data it stores. ENIGMA exploits LT
rate less codes to store fragments of sectors on storage nodes organized in
clusters. We quantitatively evaluate how the various ENIGMA system
parameters affect the performance, availability, integrity, and
confidentiality of virtual disks. These evaluations are carried out by using
both analytical modeling (for availability, integrity, and confidentiality)
and discrete event simulation (for performance), and by considering a set
of realistic operational scenarios. Our results indicate that it is possible to
simultaneously achieve all the objectives set forth for BLCS systems by
using ENIGMA, and that a careful choice of the various system parameters
is crucial to achieve a good compromise among them. Moreover, they also
show that LT coding-based BLCS systems outperform traditional BLCS
systems in all the aspects mentioned before.
Existing System:
BLCS systems offer various advantages over alternative data storage
solutions (e.g. distributed file systems), namely: (a) they support cloud
applications that require access to persistent raw block devices (e.g.,
DBMSes), (b) they are natively supported by any off-the shelf operating
system, and (c) the optimizations they provide are transparently available
to any off-the-shelf file system used to format them.
Proposed System:
Thanks to these properties, the usage of LT codes in the back-end of a BLCS
system provides many benefits. In particular, in this paper we show that:
• Low sector access time and high transfer throughput can be achieved
by exploiting the simultaneous fetch of sector fragments from
independent storage resources, thus exploiting the availability of
many independent network paths;
• There is no single point of failure, as the coded fragments are stored
on various independent storage resources, and lost fragments
(caused by a failed resource) can be regenerated on-the-fly without
the constraint of recreating exactly the lost data;
• Suitable levels of confidentiality can be achieved by keeping secret
the random generation process
Hardware Requirements:
• System : Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44 Mb.
• Monitor : 15 VGA Colour.
• Mouse : Logitech.
• RAM : 256 Mb.
Software Requirements:
• Operating system : - Windows XP.
• Front End : - JSP
• Back End : - SQL Server
Software Requirements:
• Operating system : - Windows XP.
• Front End : - .Net
• Back End : - SQL Server

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Exploiting Rateless Codes in Cloud Storage

  • 1. Exploiting Rate less Codes in Cloud Storage Systems Abstract: Block-Level Cloud Storage (BLCS) offers to users and applications the access to persistent block storage devices (virtual disks) that can be directly accessed and used as if they were raw physical disks. In this paper we devise ENIGMA, architecture for the back-end of BLCS systems able to provide adequate levels of access and transfer performance, availability, integrity, and confidentiality, for the data it stores. ENIGMA exploits LT rate less codes to store fragments of sectors on storage nodes organized in clusters. We quantitatively evaluate how the various ENIGMA system parameters affect the performance, availability, integrity, and confidentiality of virtual disks. These evaluations are carried out by using both analytical modeling (for availability, integrity, and confidentiality) and discrete event simulation (for performance), and by considering a set of realistic operational scenarios. Our results indicate that it is possible to simultaneously achieve all the objectives set forth for BLCS systems by using ENIGMA, and that a careful choice of the various system parameters is crucial to achieve a good compromise among them. Moreover, they also show that LT coding-based BLCS systems outperform traditional BLCS systems in all the aspects mentioned before.
  • 2. Existing System: BLCS systems offer various advantages over alternative data storage solutions (e.g. distributed file systems), namely: (a) they support cloud applications that require access to persistent raw block devices (e.g., DBMSes), (b) they are natively supported by any off-the shelf operating system, and (c) the optimizations they provide are transparently available to any off-the-shelf file system used to format them. Proposed System: Thanks to these properties, the usage of LT codes in the back-end of a BLCS system provides many benefits. In particular, in this paper we show that: • Low sector access time and high transfer throughput can be achieved by exploiting the simultaneous fetch of sector fragments from independent storage resources, thus exploiting the availability of many independent network paths; • There is no single point of failure, as the coded fragments are stored on various independent storage resources, and lost fragments (caused by a failed resource) can be regenerated on-the-fly without the constraint of recreating exactly the lost data; • Suitable levels of confidentiality can be achieved by keeping secret the random generation process Hardware Requirements: • System : Pentium IV 2.4 GHz. • Hard Disk : 40 GB. • Floppy Drive : 1.44 Mb.
  • 3. • Monitor : 15 VGA Colour. • Mouse : Logitech. • RAM : 256 Mb. Software Requirements: • Operating system : - Windows XP. • Front End : - JSP • Back End : - SQL Server Software Requirements: • Operating system : - Windows XP. • Front End : - .Net • Back End : - SQL Server