@inproceedings{9d89cda2f30d46cc9f6d5d7a4147377c,
title = "SsCloud: A Smart Storage for Distributed DaaS on the Cloud",
abstract = "DaaS (Data-as-a-Service) is an important model of the cloud. As DaaS provides clients with the ability to view and download data from cloud providers, the service must ensure speed, reliability, and cost effectiveness. An important research question pertaining to providing DaaS is how to improve the download time by using parallelism and efficient load balancing techniques. Other research focus on optimizing the storage consumed by the DaaS cloud providers. In this paper, we provide a solution to both issues by increasing the effectiveness of the dual direction load balancing technique using higher replication and optimizing the storage consumed by a smart self-controlled technique (ssCloud) for removing the redundant data from each cloud server. We elaborate on the design of this technique and how it can be applied on the cloud.",
keywords = "Cloud Computing, Data Centers, Data-as-a-Service - DaaS, Load balancing, Network, Partial replication, QoS, Storage optimization, Throughput",
author = "{Al Nuaimi}, Klaithem and Nader Mohamed and {Al Nuaimi}, Mariam and Jameela Al-Jaroodi",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 8th IEEE International Conference on Cloud Computing, CLOUD 2015 ; Conference date: 27-06-2015 Through 02-07-2015",
year = "2015",
month = aug,
day = "19",
doi = "10.1109/CLOUD.2015.149",
language = "English",
series = "Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1049--1052",
editor = "Calton Pu and Ajay Mohindra",
booktitle = "Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015",
}