Sri Venkateswara College of Engineering & Technology
CONTENTS
• Abstract
• Major area or Domain of the Project
• Objectives and Scope of the project
• Survey of the project
• Methodologies
• Front end and Back end
• System Architecture
• System Requirements
• Modules
• Feasibility Study
• Conclusion
• References
ABSTRACT
Cloud storage services have become commercially popular
due to their overwhelming advantages. To provide ubiquitous
always-on access, a cloud service provider (CSP) maintains
multiple replicas for each piece of data on geographically
distributed servers.
A key problem of using the replication technique in clouds
is that it is very expensive to achieve strong consistency on a
worldwide scale. In this paper, we first present a novel
consistency as a service (CaaS) model, which consists of a
large data cloud and multiple small audit clouds.
In the CaaS model, a data cloud is maintained by a CSP,
and the group of users will make sure about the consistency.
Finally, we devise a heuristic auditing strategy (HAS) to
reveal as many violations as possible.
What is cloud computing?
 Cloud Computing is the practice of using a network
of remote servers hosted on the Internet to store,
manage, and process data, rather than a local server
or a personal computer.
A cloud is basically a major distributed system
where each portion of data is copied on multiple
globally distributed servers to attain high
accessibility and high performance.
DOMAIN
OBJECTIVES and SCOPE
System Presents CaaS model, which consists of data
cloud and audit clouds.
 System suggests a two level auditing structure.
 In this system we devise HAS to find out as many as
violations possible .
METHODOLOGIES
The methodolies are:
Global Consistency auditing
Local Consistency auditing
Front End
ASP.NET
C#.NET
Back End
SQLSERVER
EXISTING SYSTEM
By using the cloud storage services, the customers can access
data stored in a cloud anytime and anywhere using any device,
without caring about a large amount of capital investment
when deploying the underlying hardware infrastructures.
The cloud service provider (CSP) stores data replicas on
multiple geographically distributed servers.
Updates to a name will not be visible immediately, but all
clients are ensured to see them eventually.
The replication technique in clouds is that it is very expensive to
achieve strong consistency.
Hard to verify the latest replica.
User cannot see the latest updates.
Traffic enables during the updating of new one
PROPOSED SYSTEM
In cloud storage, consistency not only determines correctness
but also the actual cost per transaction. In this paper, we
present a novel consistency as a service (CaaS) model for this
situation. The CaaS model consists of a large data cloud and
multiple small audit clouds. The data cloud is maintained by a
CSP, and an audit cloud consists of a group of users that
cooperate on a job.
ADVANTAGES
The users can assess the quality of cloud services.
Can able to choose a right CSP among different
alternatives.
User can read and revise data’s at anywhere.
Less Expensive
SYSTEM ARCHITECTURE
SYSTEM CONFIGURATION
HARDWARE REQUIREMENTS
Processor - Pentium –IV
Speed - 1.1 Ghz
RAM - 512 MB(min)
Hard Disk - 40 GB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - LCD/LED
SOFTWARE REQUIREMENTS
Operating system : Windows XP.
Coding Language : ASP.Net
Tool : VISUAL STUDIO
2008.
MODULES
USER MODULE
Registration
File Upload
Download
Auditor Module
File Verification
File View
Admin Module
View File
Block User
FEASIBILITY STUDY
Technical Feasibility
Operational Feasibility
Economical Feasibility
CONCLUSION
In this paper, we presented a consistency as a
service (CaaS) model and a two-level auditing
structure to help users verify whether the cloud
service provider (CSP) is providing the promised
consistency or not, and to measure the severity of
the violations, if any. With the CaaS model, the
users can assess the quality of cloud services and
choose a right CSP among various alternatives, e.g,
the least expensive one that still provides adequate
consistency for the users’ application.
REFERENCE
 Qin Liu, Guojun Wang, and Jie Wu,., “Consistency as a Serv
Auditing Cloud Consistency” IEEE TRANSACTIONS
NETWORK AND SERVICE MANAGEMENT, VOL. 11, NO
MARCH 2014
M. NANDA KISHORE Sir
Asst. Prof, Department of MCA

Consistency As A Service:Auditing Cloud Consistency

  • 1.
    Sri Venkateswara Collegeof Engineering & Technology
  • 2.
    CONTENTS • Abstract • Majorarea or Domain of the Project • Objectives and Scope of the project • Survey of the project • Methodologies • Front end and Back end • System Architecture • System Requirements • Modules • Feasibility Study • Conclusion • References
  • 3.
    ABSTRACT Cloud storage serviceshave become commercially popular due to their overwhelming advantages. To provide ubiquitous always-on access, a cloud service provider (CSP) maintains multiple replicas for each piece of data on geographically distributed servers. A key problem of using the replication technique in clouds is that it is very expensive to achieve strong consistency on a worldwide scale. In this paper, we first present a novel consistency as a service (CaaS) model, which consists of a large data cloud and multiple small audit clouds.
  • 4.
    In the CaaSmodel, a data cloud is maintained by a CSP, and the group of users will make sure about the consistency. Finally, we devise a heuristic auditing strategy (HAS) to reveal as many violations as possible.
  • 5.
    What is cloudcomputing?  Cloud Computing is the practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer. A cloud is basically a major distributed system where each portion of data is copied on multiple globally distributed servers to attain high accessibility and high performance. DOMAIN
  • 6.
    OBJECTIVES and SCOPE SystemPresents CaaS model, which consists of data cloud and audit clouds.  System suggests a two level auditing structure.  In this system we devise HAS to find out as many as violations possible .
  • 7.
    METHODOLOGIES The methodolies are: GlobalConsistency auditing Local Consistency auditing
  • 8.
  • 9.
    EXISTING SYSTEM By usingthe cloud storage services, the customers can access data stored in a cloud anytime and anywhere using any device, without caring about a large amount of capital investment when deploying the underlying hardware infrastructures. The cloud service provider (CSP) stores data replicas on multiple geographically distributed servers. Updates to a name will not be visible immediately, but all clients are ensured to see them eventually.
  • 10.
    The replication techniquein clouds is that it is very expensive to achieve strong consistency. Hard to verify the latest replica. User cannot see the latest updates. Traffic enables during the updating of new one
  • 11.
    PROPOSED SYSTEM In cloudstorage, consistency not only determines correctness but also the actual cost per transaction. In this paper, we present a novel consistency as a service (CaaS) model for this situation. The CaaS model consists of a large data cloud and multiple small audit clouds. The data cloud is maintained by a CSP, and an audit cloud consists of a group of users that cooperate on a job.
  • 12.
    ADVANTAGES The users canassess the quality of cloud services. Can able to choose a right CSP among different alternatives. User can read and revise data’s at anywhere. Less Expensive
  • 13.
  • 14.
    SYSTEM CONFIGURATION HARDWARE REQUIREMENTS Processor- Pentium –IV Speed - 1.1 Ghz RAM - 512 MB(min) Hard Disk - 40 GB Key Board - Standard Windows Keyboard Mouse - Two or Three Button Mouse Monitor - LCD/LED
  • 15.
    SOFTWARE REQUIREMENTS Operating system: Windows XP. Coding Language : ASP.Net Tool : VISUAL STUDIO 2008.
  • 16.
    MODULES USER MODULE Registration File Upload Download AuditorModule File Verification File View Admin Module View File Block User
  • 17.
    FEASIBILITY STUDY Technical Feasibility OperationalFeasibility Economical Feasibility
  • 18.
    CONCLUSION In this paper,we presented a consistency as a service (CaaS) model and a two-level auditing structure to help users verify whether the cloud service provider (CSP) is providing the promised consistency or not, and to measure the severity of the violations, if any. With the CaaS model, the users can assess the quality of cloud services and choose a right CSP among various alternatives, e.g, the least expensive one that still provides adequate consistency for the users’ application.
  • 19.
    REFERENCE  Qin Liu,Guojun Wang, and Jie Wu,., “Consistency as a Serv Auditing Cloud Consistency” IEEE TRANSACTIONS NETWORK AND SERVICE MANAGEMENT, VOL. 11, NO MARCH 2014
  • 20.
    M. NANDA KISHORESir Asst. Prof, Department of MCA