Abstract
Cloud storage administrations have got to be economically main stream because of their mind-boggling points of interest. To give pervasive constantly on access, a cloud administration supplier (CSP) keeps up numerous reproductions for every bit of information on geological servers. A novel key issue utilizes the duplication procedure in the mist is enormously extravagant toward attaining solid constancy on an overall level. This paper, presents a new consistency like an administration (CaaS), which comprise the extensive cloud information and various little review mists. During this CaaS, cloud information is kept up by a CSP, and a gathering of clients that constitute a review cloud can check whether the information cloud gives the assured level of constancy or not. We proposed the two stages examining structural engineering, which just obliges an approximately synchronized check in the review cloud. At that point, we plan calculations to evaluate the seriousness of infringement with two measurements: the shared trait of infringement and the decay of read estimation. At long last, we plan a heuristics auditing strategy (HAS) to uncover, however, lots of infringement as would be prudent. Far reaching trials were performed utilizing a mix of recreations and genuine cloud organizations to accept HAVE.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Mell P, Grance T (2011) The NIST definition of cloud computing (draft). NIST Special Publication 800–145 (Draft)
Armbrust M, Fox A, Griffith R, Joseph A, Katz R, Konwinski A, Lee G, Patterson D, Rabkin A, Stoica I et al (2010) A view of cloud computing. Commun ACM 53(4):50–58
Brewer E (2000) Towards robust distributed systems. In: Proceedings of 2000 ACM PODC
Brewer E (2012) Pushing the CAP: strategies for consistency and availability. Computer 45(2):23–29
Ahamad M, Neiger G, Burns J, Kohli P, Hutto P (1995) Causal memory: definitions, implementation, and programming. Distrib Comput 9(1):37–49
Lloyd W, Freedman M, Kaminsky M, Andersen D (2011) Don’t settle for eventual: scalable causal consistency for wide-area storage with COPS. In: Proceedings of 2011 ACM SOSP
Anderson E, Li X, Shah M, Tucek J, Wylie J (2010) What consistency does your key-value store actually provide. In: Proceedings of 2010 USENIX HotDep
Fidge C (1988) Timestamps in message-passing systems that preserve the partial ordering. In: Proceedings of 1988 ACSC
Golab W, Li X, Shah M (2011) Analyzing consistency properties for fun and profit. In: Proceedings of 2011 ACM PODC
Tanenbaum A, Van Steen M (2002) Distributed systems: principles and paradigms. Prentice Hall PTR, New Jersey
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer India
About this paper
Cite this paper
Patel, K.K., Christal Joy, E. (2016). Scalable Casual Data Consistency for Wide Area Storage with Cloud. In: Suresh, L., Panigrahi, B. (eds) Proceedings of the International Conference on Soft Computing Systems. Advances in Intelligent Systems and Computing, vol 398. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2674-1_27
Download citation
DOI: https://doi.org/10.1007/978-81-322-2674-1_27
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2672-7
Online ISBN: 978-81-322-2674-1
eBook Packages: EngineeringEngineering (R0)