A brief survey on dynamic strategies of data replication in cloud environment: last five year study

  Faraidoon Habibi,  Nagesh Kumar

Data replication provides availability of data in multiple sites to ensure efficient utilization of data. Because of the extreme growth of data usage, the cloud computing is getting more preferences nowadays. As most companies are using cloud computing to store and access data, it is mandatory to backup and replicates data offsite to ensure easy recovery of data in the event of downtime and in case of disaster. And the best practice for this purpose is using data replication which allows organizations to scale their offsite storage quickly for faster backup and recovery. Data replication is the best solution where there is a growing need for faster recovery as it offers high performance, availability, and reliability. Since now, a large variety of strategies have been followed to replicate data. Generally, we can categorize data replication techniques into two group named –static and dynamic replication. In static replication, once we decide strategy, it can’t be modified while the operation is going on. To overcome this limitation, dynamic replication is employed which can create and delete replicas dynamically according to the need. Several numbers of researches have been done regarding this two categories of data replication in this review we will analyze some of the dynamic data replication techniques that are used in the cloud environment. Our focus will be on finding a better solution of the previous results in order to increase the efficiency, performance, and reliability of the dynamic data replication in the cloud.

Keywords- Data replication, dynamic, cloud computing, efficiency, performance.

Unique Identification Number - IJEDR1704054
Page Number(s) - 342-345
Pubished in - Volume 5 | Issue 4 | October 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Faraidoon Habibi,  Nagesh Kumar,   "A brief survey on dynamic strategies of data replication in cloud environment: last five year study", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 4, pp.342-345, October 2017, Available at :http://www.ijedr.org/papers/IJEDR1704054.pdf