@inproceedings{0d84eeebe8f94d698a0eb575d00ffb21,
title = "Dual direction load balancing and partial replication storage of cloud DaaS",
abstract = "In this paper, we present a novel approach to solve the cloud storage issues and provide a fast load balancing algorithm. Our approach is based on partitioning and dual direction download of the files by multiple cloud nodes. Partitions of the files are also saved into the cloud rather than the full files, which provide a good optimization to the cloud storage usage. Only partial replication is used in this algorithm to ensure the reliability and availability of the data. Our focus is to improve the performance and optimize the storage usage in providing the DaaS service of the cloud. This algorithm solves the problem of having to fully replicate very large data sets, which uses up a lot of precious space on the cloud nodes. Reducing the space needed will help in reducing the cost of providing such space. Moreover, performance is also increased since multiple cloud servers will collaborate to provide the data to cloud clients in a faster manner.",
keywords = "Cloud Computing, DaaS, Data as a Service, Storage optimization, cloud data download, load balancing, partial replication",
author = "{Al Nuaimi}, Klaithem and Nader Mohamed and {Al Nuaimi}, Mariam and Jameela Al-Jaroodi",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 3rd IEEE International Conference on Cloud Networking, CloudNet 2014 ; Conference date: 08-10-2014 Through 10-10-2014",
year = "2014",
month = nov,
day = "26",
doi = "10.1109/CloudNet.2014.6969033",
language = "English",
series = "2014 IEEE 3rd International Conference on Cloud Networking, CloudNet 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "432--437",
booktitle = "2014 IEEE 3rd International Conference on Cloud Networking, CloudNet 2014",
}