COI code: TECCONF04_053
Paper Language: English
How to Download This Paper
For Downloading the Fulltext of CIVILICA papers please visit the orginal Persian Section of website.
Authors Providing an Effective Heuristic Algorithm to Improve the Scheduling Jobs in Cloud EnvironmentSaeed Salarkia - Department of Computer Engineering/ Islamic Azad University, Damavand Branch, Iran
Javad Hosseinkhani - Department of Computer Engineering/ Islamic Azad University, Zahedan Branch, Iran
Abstract:Cloud computing is a hardware and software infrastructure that provides affordable, reliable, comprehensive, and affordable access to computing abilities of others. Cloud computing has emerged as a new approach to solving large-scale problems in the fields of science, engineering, and commerce. A cloud computing is associated with a set of resources on a large scale. Computational clouds have emerged as a new approach to solving large-scale problems in the fields of science, engineering, and commerce. Cloud computing is a hardware and software infrastructure that provides affordable, reliable, comprehensive, and affordable access to computing abilities of others. A cloud computing is associated with a set of resources on a large scale. The algorithms provided so far have improved the problem of scheduling and managing resources in cloud computing in a direction and the structure and form of this problem have not yet been resolved. Each of these solutions provides hypotheses and eliminates issues from the cloud timing definition, such as cost, quality of service, architectures, and others, but ultimately improves on it and schedules In cloud computing, it has been pushed forward in some ways. The purpose of this thesis is to provide a method that optimizes resource management and cloud scheduling in at least one direction. The main focus of the research is on the time criterion, the deadline for doing things and receiving the response from the cloud parameters can be examined. From a more general perspective, the aim of the research is to get the answer as quickly as possible from cloud computing. Always the execution time of an algorithm is one of the challenges for that algorithm. By comparing the implementation time of the proposed algorithm and the Min-min algorithm, we conclude that the operating time of the Min-min algorithm is three times the proposed execution time of the algorithm. We were able to provide a new algorithm for this scheduling, while its total completion time was as high as the current Heuristic algorithm examined, but the execution time is 66% better than that.
Keywords:Heuristic Algorithm, Improved Jobs Scheduling, Cloud Environments, System Status
COI code: TECCONF04_053
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Salarkia, Saeed & Javad Hosseinkhani, 2018, Providing an Effective Heuristic Algorithm to Improve the Scheduling Jobs in Cloud Environment, Forth National Conference on Electrical and Computer Engineering, تهران, دانشگاه پيام نور, https://www.civilica.com/Paper-TECCONF04-TECCONF04_053.htmlInside 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: (Salarkia, Saeed & Javad Hosseinkhani, 2018)
Second and more: (Salarkia & Hosseinkhani, 2018)
For a complete overview of how to citation please review the following CIVILICA Guide (Citation)
The University/Research Center Information:
Type: Azad University
Paper No.: 1426
in University Ranking and Scientometrics the Iranian universities and research centers are evaluated based on scientific papers.
Research Info Management
Export Citation info of this paper to research management softwares
New Related Papers
- Barrier characteristics of fusion reactions with weakly bound nuclei
- Suppression of cross section in reactions with weakly bound systems
- AFuzzy logic based control strategy for system stability in wind-penetrated power system
- Combined Demand response (EDRP) program with unit commitment schedule in deregulated power system
- Determination of electric flashover parameters with particle swarm optimization algorithm
The Above articles are recently indexed in the related subjects
Iran Scientific Advertisment Netword
Share this paper
WHAT IS COI?
COI is a national code dedicated to all Iranian Conference and Journal Papers. the COI of each paper can be verified online.