Publication Type:

Journal Article

Source:

Global Journal of Pure and Applied Mathematics, Research India Publications, Volume 11, Number 1, p.148-155 (2015)

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-84948769235&partnerID=40&md5=f413f16a1b4975cef59540fc38120bc3

Abstract:

In recent years, there has been an increasing demand for efficient and reliable storage systems which makes Distributed Storage Systems (DSS) become more popular. A Distributed Storage system is a form of storing data remotely on more than one node. DSS employ Data Replication and/or Data Dispersal techniques to provide Availability, Scalability and Fault Tolerance. An important concern is the risk of failure. Failure may be due to Crash or Non - crash faults called as Hybrid failures. It may be due to software, hardware, Adversary, human errors or network error, etc. An adversary is generally considered to be a person, group, or malicious entity that prevent the system in achieving its goal. This survey paper provides an insight into different fault tolerant methods used in replication and dispersal techniques, adversary and its classification with respect to hybrid failures which helps to design an efficient and reliable distributed storage system. © Research India Publications.

Notes:

cited By 0

Cite this Research Publication

C.K. Shyamala and R.R., S., “Study of adversary models in distributed storage systems”, Global Journal of Pure and Applied Mathematics, vol. 11, pp. 148-155, 2015.