Fussy logic replica selection algorithm for cloud storage system

Other Title(s)

خوارزمية منطق ضبابي لاختيار النسخة في نظام التخزين السحابي

Author

Radi, Muhammad A.

Source

Journal of al-Aqsa University : Series of Natural Sciences

Issue

Vol. 20, Issue 1 (31 Jan. 2016), pp.1-14, 14 p.

Publisher

al-Aqsa University Deanship of Graduate Studies and Scientific Research

Publication Date

2016-01-31

Country of Publication

Palestine (Gaza Strip)

No. of Pages

14

Main Subjects

Information Technology and Computer Science

Topics

Abstract EN

In recent years, cloud storage systems have received considerable attention as a new trend in data management.

Data replication is utilized to enhance scalability, reliability, and response time.

Replica selection techniques are used to choose the most suitable replica to respond to user requests and minimize user response time.

In this paper, a fussy logic replica selection algorithm for cloud storage system is proposed to determine the best data center and to improve system performance.

The proposed algorithm is implemented and evaluated using a CloudAnalyst simulator.

Compared with other algorithms in literature, the proposed fussy logic algorithm, as shown in simulation results, reduced overall response time and exhibited remarkable improvement in system performance.

American Psychological Association (APA)

Radi, Muhammad A.. 2016. Fussy logic replica selection algorithm for cloud storage system. Journal of al-Aqsa University : Series of Natural Sciences،Vol. 20, no. 1, pp.1-14.
https://search.emarefa.net/detail/BIM-776582

Modern Language Association (MLA)

Radi, Muhammad A.. Fussy logic replica selection algorithm for cloud storage system. Journal of al-Aqsa University : Series of Natural Sciences Vol. 20, no. 1 (Jan. 2016), pp.1-14.
https://search.emarefa.net/detail/BIM-776582

American Medical Association (AMA)

Radi, Muhammad A.. Fussy logic replica selection algorithm for cloud storage system. Journal of al-Aqsa University : Series of Natural Sciences. 2016. Vol. 20, no. 1, pp.1-14.
https://search.emarefa.net/detail/BIM-776582

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 13-14

Record ID

BIM-776582