Title: A smart storage optimisation technique on the cloud

Authors: Klaithem Al Nuaimi; Nader Mohamed; Mariam Al Nuaimi; Jameela Al-Jaroodi

Addresses: College of Information Technology, United Arab Emirates University, Al Ain, UAE ' Middleware Technologies Lab., P.O. Box 33186, Isa Town, Bahrain ' College of Information Technology, United Arab Emirates University, Al Ain, UAE ' Department of Engineering, Robert Morris University, Moon, PA 15108, USA

Abstract: This paper is an extension to a recent work on enhancing load balancing and optimising storage consumption on the cloud. Our methodology, called ssCloud (Smart Storage Cloud), is based on methods designed to enhance the load balancing in concurrent file download techniques on the cloud using a collaborative dual direction technique. In this paper, we show how ssCloud operates in both the upload and download phases for providing Data as a Service (DaaS) on the cloud. Our goal is to reduce the amount of storage consumed on the cloud while providing a fast and efficient download time for the cloud clients. This is done by having two separate cloud interfaces, one for download requests (load balancing module) and another for upload requests, which involves partitioning and saving files on the available cloud servers (FileController). We also provide an analysis of ssCloud performance and compare it to other reviewed storage optimisation techniques on the cloud by simulating the cloud environment and comparing service times.

Keywords: cloud computing; load balancing; storage optimisation; partial replication; data as a service; data centres; network; throughput; QoS.

DOI: 10.1504/IJGUC.2017.085912

International Journal of Grid and Utility Computing, 2017 Vol.8 No.2, pp.109 - 119

Received: 16 Oct 2015
Accepted: 28 Feb 2016
Published online: 18 Aug 2017 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article