%0 Journal Article %1 T__2015 %A Aher, Hemant T. %A Shirode, Poonam D. %A Shinde, Kundan L. %A Jadhav, Arti A. %D 2015 %I Auricle Technologies, Pvt., Ltd. %J International Journal on Recent and Innovation Trends in Computing and Communication %K (CSP) (CaaS) Acyclic Agreement Auditing Cloud Consistency Directed Graph Heuristic Level Network Operation Protocol Provider Service Table Time User a as strategy %N 1 %P 46--51 %R 10.17762/ijritcc2321-8169.150111 %T Overview of Auditing Cloud Consistency %U http://dx.doi.org/10.17762/ijritcc2321-8169.150111 %V 3 %X Cloud storage services have become very popular due to their infinite advantages. To provide always-on access, a cloud service provider (CSP) maintains multiple copies for each piece of data on geographically distributed servers. A major disadvantage of using this technique in clouds is that it is very expensive to achieve strong consistency on a worldwide scale. In this system, a novel consistency as a service (CaaS) model is presented, which involves a large data cloud and many small audit clouds. In the CaaS model we are presented in our system, a data cloud is maintained by a CSP. A group of users that participate an audit cloud can verify whether the data cloud provides the promised level of consistency or not. The system proposes a two level auditing architecture, which need a loosely synchronize clock in the audit cloud. Then design algorithms to measure the severity of violations with two metrics: the commonality of violations, and the oldness value of read. Finally, heuristic auditing strategy (HAS) is devised to find out as many violations as possible. Many experiments were performed using a combination of simulations and a real cloud deployment to validate HAS

@article{T__2015, abstract = {Cloud storage services have become very popular due to their infinite advantages. To provide always-on access, a cloud service provider (CSP) maintains multiple copies for each piece of data on geographically distributed servers. A major disadvantage of using this technique in clouds is that it is very expensive to achieve strong consistency on a worldwide scale. In this system, a novel consistency as a service (CaaS) model is presented, which involves a large data cloud and many small audit clouds. In the CaaS model we are presented in our system, a data cloud is maintained by a CSP. A group of users that participate an audit cloud can verify whether the data cloud provides the promised level of consistency or not. The system proposes a two level auditing architecture, which need a loosely synchronize clock in the audit cloud. Then design algorithms to measure the severity of violations with two metrics: the commonality of violations, and the oldness value of read. Finally, heuristic auditing strategy (HAS) is devised to find out as many violations as possible. Many experiments were performed using a combination of simulations and a real cloud deployment to validate HAS}, added-at = {2015-08-03T07:38:55.000+0200}, author = {Aher, Hemant T. and Shirode, Poonam D. and Shinde, Kundan L. and Jadhav, Arti A.}, biburl = {https://www.bibsonomy.org/bibtex/2d5b21320148870ca7c23292eed6e7dba/ijritcc}, doi = {10.17762/ijritcc2321-8169.150111}, interhash = {ec86e943fcec4d67b8255ed0ddd1f3f2}, intrahash = {d5b21320148870ca7c23292eed6e7dba}, journal = {International Journal on Recent and Innovation Trends in Computing and Communication}, keywords = {(CSP) (CaaS) Acyclic Agreement Auditing Cloud Consistency Directed Graph Heuristic Level Network Operation Protocol Provider Service Table Time User a as strategy}, month = {january}, number = 1, pages = {46--51}, publisher = {Auricle Technologies, Pvt., Ltd.}, timestamp = {2015-08-03T07:38:55.000+0200}, title = {Overview of Auditing Cloud Consistency}, url = {http://dx.doi.org/10.17762/ijritcc2321-8169.150111}, volume = 3, year = 2015 }