short-paper

Anticipating Requests to Improve Performance and Reduce Costs in Cloud Storage

Authors:

Hylson Vescovi Netto,

Lau Cheuk Lung,

Tulio Alberton Ribeiro,

Miguel Correia,

Aldelir Fernando LuizAuthors Info & Claims

ACM SIGMETRICS Performance Evaluation Review, Volume 43, Issue 3

Pages 21 - 24

https://doi.org/10.1145/2847220.2847226

Published: 19 November 2015 Publication History

Get Access

Abstract

Clouds are a suitable place to store data with scalability and financial flexibility. However, it is difficult to ensure the reliability of the data stored in a cloud. Byzantine fault tolerance can improve reliability, but at a high cost. This paper presents a technique that anticipates requests in order to reduce that cost. We show that this technique improves the performance in comparison with related works and maintains the desired data reliability.

References

[1]

D. Agrawal and V. Krishnaswamy. Using multiversion data for non-interfering execution of write-only transactions. SIGMOD Record, 20(2):98--107, 1991.

Digital Library

Google Scholar

[2]

A. Bessani, M. Correia, B. Quaresma, F. André, and P. Sousa. DepSky: Dependable and secure storage in a cloud-of-clouds. ACM TOS, 9(4):12:1--12:33, 2013.

Digital Library

Google Scholar

[3]

C. Cachin, D. Dobre, and M. Vukoli. Separating data and control: Asynchronous BFT storage with 2t+1 data replicas. In SSS, pages 1--17, 2014.

Crossref

Google Scholar

[4]

M. Castro, B. Liskov, et al. Practical byzantine fault tolerance. In OSDI, volume 99, pages 173--186, 1999.

Digital Library

Google Scholar

[5]

B. Cho and M. K. Aguilera. Surviving congestion in geo-distributed storage systems. In USENIX ATC, pages 439--451, 2012.

Digital Library

Google Scholar

[6]

D. Dobre, P. Viotti, and M. Vukolić. Hybris: Robust hybrid cloud storage. In ACM SoCC, pages 1--14, 2014.

Digital Library

Google Scholar

[7]

D. Malkhi and M. Reiter. Byzantine quorum systems. Distributed Computing, 11(4):203--213, 1998.

Digital Library

Google Scholar

[8]

Z. Wu, M. Butkiewicz, D. Perkins, E. Katz-Bassett, and H. V. Madhyastha. Spanstore: Cost-effective geo-replicated storage spanning multiple cloud services. In ACM SOSP, pages 292--308, 2013.

Digital Library

Google Scholar

Anticipating Requests to Improve Performance and Reduce Costs in Cloud Storage
1. Computer systems organization
  1. Architectures
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures

Recommendations

Cloud Storage as the Infrastructure of Cloud Computing
ICICCI '10: Proceedings of the 2010 International Conference on Intelligent Computing and Cognitive Informatics

As an emerging technology and business paradigm, Cloud Computing has taken commercial computing by storm. Cloud computing platforms provide easy access to a company’s high-performance computing and storage infrastructure through web services. With cloud ...
Middleware enabled data sharing on cloud storage services
MW4SOC '10: Proceedings of the 5th International Workshop on Middleware for Service Oriented Computing

With the emergence of public cloud storage platforms like Amazon, Microsoft and Google etc, individual applications and some enterprise storage are being increasingly deployed on Clouds. However, dynamic data sharing in public clouds face problems of ...
Block storage scheduling based on SLA in cloud storage systems
EDB '16: Proceedings of the Sixth International Conference on Emerging Databases: Technologies, Applications, and Theory

According to the growth of the utilization of cloud computing, the required storage capacity is also increasing. The cloud computing services can allocate immediately storage volume according to user requirements, and cloud storage should be scalable. ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM SIGMETRICS Performance Evaluation Review

ACM SIGMETRICS Performance Evaluation Review Volume 43, Issue 3

December 2015

89 pages

ISSN:0163-5999

DOI:10.1145/2847220

Editor:
Nidhi Hegde
Bell Labs France, Alcatel-Lucent Centre de Villarceaux Route de Villejust, Nozay, France

Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 November 2015

Published in SIGMETRICS Volume 43, Issue 3

Check for updates

Author Tags

Qualifiers

Short-paper

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
95
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)1

Reflects downloads up to 02 Oct 2024

Other Metrics

View Author Metrics

Citations

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Recommendations

Cloud Storage as the Infrastructure of Cloud Computing

Middleware enabled data sharing on cloud storage services

Block storage scheduling based on SLA in cloud storage systems