IIUM Repository

Development of heuristic task scheduling algorithm in cloud computing

Diallo, Laouratou and Hassan Abdalla Hashim, Aisha and Olanrewaju, Rashidah Funke (2016) Development of heuristic task scheduling algorithm in cloud computing. In: 3rd International Conference on ICTs for Education and Training (TICET 2016), 12th-14th March 2016, Khartoum, Sudan.

[img] PDF - Published Version
Restricted to Registered users only

Download (613kB) | Request a copy


As the immense growth of data have affected many organizations, there have been a need to adopt the cloud resources for processing big data applications which could cost highly by using traditional storage. In order to optimize these resources used, high level of scheduling algorithms are required. As a result, many scheduling algorithms are proposed by researchers for scheduling big data analytics from static to heuristics algorithms. Therefore, heuristics algorithms are widely proposed recently for their capabilities of resources optimization in a range finite of time. It can be said that heuristics algorithms become the undeniable candidate for task scheduling big data analytics. To this direction, in this paper we make a summary of some scheduling algorithms and propose an Enhanced Greedy Heuristic Scheduling Algorithm (EGHSA) for task scheduling adapted for big data applications. The proposed algorithm is followed by a discussion in order to make smoother the implementation. Index Terms— Big Data Analytics, Cloud Computing, Heuristic, Scheduling, Static.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 2523/55306
Uncontrolled Keywords: Big Data Analytics, Cloud Computing, Heuristic, Scheduling, Static.
Subjects: T Technology > T Technology (General) > T173.2 Technological change
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof. Dr. Aisha Hassan Abdalla Hashim
Date Deposited: 27 Feb 2017 11:07
Last Modified: 27 Feb 2017 11:07
URI: http://irep.iium.edu.my/id/eprint/55306

Actions (login required)

View Item View Item


Downloads per month over past year