Impact Factor:6.549
 Scopus Suggested Journal: Tracking ID for this title suggestion is: 55EC484EE39417F0

International Journal
of Computer Engineering in Research Trends (IJCERT)

Scholarly, Peer-Reviewed, Open Access and Multidisciplinary

Welcome to IJCERT

International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed, Open Access and Multidisciplinary

ISSN(Online):2349-7084                 Submit Paper    Check Paper Status    Conference Proposal

Back to Current Issues

An authority: Merchant Lock in to Meta storage

Shaik Murthujavali, P.Kiranrao, Dr.S.Prem Kumar, ,
M.Tech Research Scholar
Assistant Professor
Head of the Department Department Of CSE, G.Pullaiah College of Engineering and Technology. Kurnool JNTU Anatapur, Andhra Pradesh, India

-Expense and versatility advantages of Cloud storage administrations are evident. Notwithstanding, selecting a solitary storage service provider limits accessibility and versatility to the chose supplier and may further cause a merchant lock basically. In this paper, we introduce Meta Storage Capacity, an unified Cloud storage framework that can incorporate differing Cloud storage suppliers. Meta storage Capacity is a very accessible and versatile circulated hash table that imitates information on top of assorted storage service. Meta Capacity reuses instruments from Amazon's Dynamo for cross-supplier replication and thus acquaints a novel methodology with oversee consistency-inactivity tradeoffs by amplifying the customary majority (N; R; W) configurations to an (np; R; W) conspire that incorporates distinctive providers as an extra measurement. With Metastorage, new means to control consistency-inertness tradeoffs are presented.

Shaik Murthujavali,P.Kiranrao,Dr.S.Prem Kumar."An authority: Merchant Lock in to Meta storage". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.1, Issue 04,pp.245-252, OCTOBER - 2014, URL :,

Keywords : Merchant Lock, Meta storage, Meta Storage Nodes

[1] A. Lenk, M. Klems, J. Nimis, S. Tai, and T.
Sandholm, “What’s inside the Cloud? An
architectural map of the Cloud landscape,” in
Software Engineering Challenges of Cloud
Computing, 2009. CLOUD’09. ICSE Workshop on.
IEEE, 2009, pp. 23–31.
[2] C. Baun, M. Kunze, J. Nimis, and S. Tai,Cloud
Computing: Web-basierte dynamische IT-Services,
ser. Informatik im Fokus. Berlin:Springer, 2010.
[3] G. DeCandia, D. Hastorun, M. Jampani, G.
Kakulapati, A. Lakshman,A. Pilchin, S.
Sivasubramanian, P. Vosshall, and W. Vogels,
“Dynamo:amazon’s highly available key value store,”
inProc. SOSP, 2007
[4] M. Welsh, D. Culler, and E. Brewer, “SEDA:
architecture forwell-conditioned, scalable Internet services,”ACM SIGOPS OperatingSystems Review,
vol. 35, no. 5, pp. 230–243, 2001.
[5] S. Garfinkel, “An Evaluation of Amazon’s Grid
Computing Services:EC2, S3, and SQS,” inCenter for.
Citeseer, 2007
[6] A. T. Velte, T. J. Velte, and R. Elsenpeter,Cloud
Computing: A Practical Approach. Upper Saddle
River, NJ: McGraw-Hill, 2010.
[7] D. Nurmi, R. Wolski, C. Grzegorczyk, G. Obertelli,
S. Soman, L. Yous-eff, and D. Zagorodnov, “The
eucalyptus open-source cloud-computing system,” in
Proceedings of the 2009 9th IEEE/ACM International
Symposium on Cluster Computing and the Grid.
IEEE, 2009, pp.124–13
[8] N. Chohan, C. Bunch, S. Pang, C. Krintz, N.
Mostafa, S. Soman,and R. Wolski, “Appscale: Scalable
and open appengine applicationdevelopment and
deployment,”First International Conference on
CloudComputing, 2009.
[9] A. Lakshman and P. Malik, “Cassandra: a
decentralized structuredstorage system,”ACM
SIGOPS Operating Systems Review, vol. 44, no. 2,pp.
35–40, 2010.
[10] R. Thomas, “A majority consensus approach to
concurrency controlfor multiple copy databases,”
ACM Transactions on Database Systems(TODS), vol.
4, no. 2, pp. 180–209, 1979
[11] D. Karger, E. Lehman, T. Leighton, R. Panigrahy,
M. Levine, andD. Lewin, “Consistent hashing and
random trees: Cloud cachingprotocols for relieving
hot spots on the World Wide Web,” in Proceedings of
the twenty-ninth annual ACM symposium on Theory
ofcomputing. ACM, 1997, pp. 654–663.
[12] I. Stoica, R. Morris, D. Karger, M. Kaashoek, and
H. Balakrishnan,“Chord: A scalable peer-to-peer
lookup service for internet applications, “in
Proceedings of the 2001 conference on Applications,
technologies, architectures, and protocols for
computer communications. ACM, 2001,pp. 149–160.
[13] J. Elson and J. Howell, “Handling flash crowds
from your garage,”in USENIX 2008 Annual Technical
Conference on Annual TechnicalConference. USENIX
Association, 2008, pp. 171–184.
[14] S. Bourne, “A conversation with Bruce
Lindsay,”Queue, vol. 2, no. 8,pp. 22–33, 2004.
[15] T. Chandra, R. Griesemer, and J. Redstone,
“Paxos made live: anengineering perspective,”
inProceedings of the twenty-sixth annual
ACMsymposium on Principles of Cloud computing.
ACM, 2007, pp.398–407
[16] L. Lamport, “The part-time parliament,”ACM
Transactions on ComputerSystems (TOCS), vol. 16,
no. 2, pp. 133–169, 1998
[17] H. Weatherspoon, P. Eaton, B. Chun, and J.
Kubiatowicz, “Antiquity:exploiting a secure log for
wide-area Cloud storage,”ACM SIGOPSOperating
Systems Review, vol. 41, no. 3, pp. 371–384, 2007.
[18] M. Burrows, “The Chubby lock service for
loosely-coupled Cloudsystems,” in Proceedings of the
7th symposium on Operating systemsdesign and
implementation. USENIX Association, 2006, pp. 335–
[19] A. Adya, W. Bolosky, M. Castro, G. Cermak, R.
Chaiken, J. Douceur,J. Howell, J. Lorch, M. Theimer,
and R. Wattenhofer, “FARSITE:Federated, available,
and reliable storage for an incompletely
trustedenvironment,”ACM SIGOPS Operating
Systems Review, vol. 36, no. SI, pp. 1–14, 2002
[20] K. Bowers, A. Juels, and A. Oprea, “HAIL: A
high-availability andintegrity layer for cloud
storage,” in Proceedings of the 16th ACMconference
on Computer and communications security. ACM,
2009,pp. 187–198.
[21] J. Kubiatowicz, D. Bindel, Y. Chen, S. Czerwinski,
P. Eaton, D. Geels,R. Gummadi, S. Rhea, H.
Weatherspoon, C. Wellset al., “Oceanstore: An
architecture for global-scale persistent storage,”ACM
SIGARCH Computer Architecture News, vol. 28, no.
5, pp. 190–201, 2000
[22] Google, Datastore Performance Growing Pains.
Google, Jun.2010, (accessed on December 4, 2010).
[Online]. Available:
re-perfor mance-growing-pains.html
[23] C. Bunch, N. Chohan, C. Krintz, J. Chohan, J.
Kupferman, P. Lakhina,Y. Li, and Y. Nomura, “An
evaluation of Cloud datastores using the appscale
cloud platform,” in Cloud Computing (CLOUD),
2010 IEEE3rd International Conference on, 2010, pp.
305 –312
[24] Broberg, Buyya, and Tari, “Creating a Cloud
Storage Mashup forHigh Performance, Low Cost
Content Delivery,” inService-OrientedComputing–
ICSOC 2008 Workshops. Springer, 2009, pp. 178–183.
[25] J. Broberg, R. Buyya, and Z. Tari, “MetaCDN:
Harnessing ’StorageClouds’ for high performance
content delivery,”Journal of Network andComputer
Applications, vol. 32, no. 5, pp. 1012–1022, 2009
[26] H. Abu-Libdeh, L. Princehouse, and H.
Weatherspoon, “RACS: a casefor cloud storage
diversity,” in Proceedings of the 1st ACM
symposiumon Cloud computing. ACM, 2010, pp.
[27] H. Weatherspoon and J. Kubiatowicz, “Erasure
coding vs. replication:A quantitative
comparison,”Peer-to-Peer Systems, pp. 328–337, 2002.
[28] W. Vogels, Eventually Consistent - Revisited,
Dec. 2008,(accessed on October 19, 2010). [Online].
entually _consistent.html


Download :

Refbacks : Currently there are no Refbacks

Quick Links


Science Central

Score: 13.30

Submit your paper to [email protected]