Consistency as a Service: Auditing Cloud Consistency
Download as PPT, PDF1 like2,085 views
This document discusses consistency as a service (CaaS) for auditing cloud consistency. The CaaS model consists of a large data cloud maintained by a cloud service provider and multiple small audit clouds consisting of user groups. The audit clouds can verify the consistency level promised by the data cloud's service level agreement. A two-level auditing architecture with loosely synchronized clocks allows the audit clouds to quantify consistency violations and devise strategies to reveal many violations. Extensive experiments validated the heuristic auditing strategy.
Consistency as a Service: Auditing Cloud Consistency
- 1. CCONSISTENCY AS A SERVICE: AUDITING CLOUD ONSISTENCY PRESENTED BY: LANSA INFORMATICS PVT LTD
- 2. 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 a group of users that constitute an audit cloud can verify whether the data cloud provides the promised level of consistency or not. • We propose a two-level auditing architecture, which only requires a loosely synchronized clock in the audit cloud. Then, we design algorithms to quantify the severity of violations with two metrics: the commonality of violations, and the staleness of the value of a read. • Finally, we devise a heuristic auditing strategy (HAS) to reveal as many violations as possible. Extensive experiments were performed using a combination of simulations and a real cloud deployment to validate HAS
- 3. EXISTING SYSTEM • Cloud storage services can be regarded as a typical service in cloud computing, which involves the delivery of data storage as a service, including database-like services and network attached storage, often billed on a utility computing basis, e.g., per gigabyte per month. Examples include Amazon SimpleDB1, Microsoft Azure storage2, and so on. • 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.
- 4. DISADVANTAGES of EXISTING SYSTEM: • Very Expensive. • User cannot see the latest updates. • Traffic enables during the updating of new one
- 5. 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, e.g., a document or a project. • A service level agreement (SLA) will be engaged between the data cloud and the audit cloud, which will stipulate what level of consistency the data cloud should provide, and how much (monetary or otherwise) will be charged if the data cloud violates the SLA.
- 6. ADVANTAGES • Audit cloud is identified by a unique ID. • User can read and revise data’s at anywhere. • Less Expensive
- 8. 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
- 9. SOFTWARE REQUIREMENTS • Operating system : Windows XP. • Coding Language : ASP.Net • Data Base : SQL Server 2005 • Tool : VISUAL STUDIO 2008.
- 10. REFERENCE Qin Liu, Guojun Wang, and Jie Wu,., “Consistency as a Service: Auditing Cloud Consistency” IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, VOL. 11, NO. 1, MARCH 2014
- 11. JOIN US! OFFICE ADDRESS: LansA Informatics Pvt ltd No 165, 5th Street, Crosscut Road, Gandhipuram, Coimbatore - 641 015 OTHER MODE OF CONTACT: Landline: 0422 – 4204373 Mobile : +91 90 953 953 33 +91 91 591 159 69 Email ID: studentscdc@lansainformatics.com web: www.lansainformatics.com Blog: www.lansastudentscdc.blogspot.com Facebook: www.facebook.com/lansainformatics Twitter: www.twitter.com/lansainformatic