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Optimization Task Scheduling Algorithm in Cloud Computing

Credit to Download: 1 | Page Numbers 6 | Abstract Views: 82
Year: 2015
COI code: JR_JACET-1-3_003
Paper Language: English

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Authors Optimization Task Scheduling Algorithm in Cloud Computing

  Somayeh Taherian Dehkordi - Department of Computer Engineering. Kerman Branch. Islamic Azad University. Kerman. Iran
  Vahid Khatibi Bardsiri - Department of Computer Engineering. Kerman Branch. Islamic Azad University. Kerman. Iran


Since software systems play an important role in applications more than ever, the security has become one of the most important indicators of softwares.Cloud computing refers to services that run in a distributed network and are accessible through common internet protocols. Presenting a proper scheduling method can lead to efficiency of resources by decreasing response time and costs. This research studies the existing approaches of task scheduling and resource allocation in cloud infrastructures and assessment of their advantages and disadvantages. Afterwards, a compound algorithm is presented in order to allocate tasks to resources properly and decrease runtime. In this paper we proposed a new method for task scheduling by learning automata (LA). This method where has named RAOLA is trained by historical information of task execution on the cloud, then divide task to many classes and evaluate them. Next, manage virtual machine for capture physical resources at any period based on rate of task classes, such that improve efficiency of cloud network.


Resource Allocation, cloud environment, learning automata

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COI code: JR_JACET-1-3_003

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Taherian Dehkordi, Somayeh & Vahid Khatibi Bardsiri, 2015, Optimization Task Scheduling Algorithm in Cloud Computing, Journal of Advances in Computer Engineering and Technology 1 (3), the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Taherian Dehkordi, Somayeh & Vahid Khatibi Bardsiri, 2015)
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The University/Research Center Information:
Type: Azad University
Paper No.: 6689
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