Presentation an approach for scientific workflow distribution on cloud computing data centers servers to optimization usage of computational resource
In a distributed system Timing and mapping the priority of tasks among processors is one of the issues attracted most of attention to itself. This issue consists of mapping a DAG with a set of tasks on a number of parallel processors and its purpose is allocating tasks to the available processors in order to satisfy the needs of priority and decency of tasks, and also to minimize the duration time of execution in total graph . Cloud computing system is one of the distributed systems which supplied a suitable condition to execute these kinds of applications, but according to the payment based on the rate of usage in this system, we should also consider reducing computation costs as the other purpose. In this article, well represent an approach to reduce the computation costs and to increase the profitability of computation power in Cloud computing system. To some possible extent, simulations show that the represented approach decreases the costs of using computation resources.
Keywords: cloud computing, workflow, parallel computing, distributed system
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ABOUT THE AUTHORS
Ahmad Faraahi
Department of IT and Communication, Payam Noor University,Tehran, Iran
Rohollah Esmaeli Manesh
Department of IT and Communication, Payam Noor University,Tehran, Iran
Ahmad Zareie
Young Researchers Club, songhor Branch, Islamic Azad University, songhor,kermanshah, Iran.
Mir Mohsen Pedram
Engineering Department, Faculty of Engineering, Tarbiat Moallem University, Karaj/Tehran, Iran
Meysam Khosravi
Imam Reza Center Of Applied Science And Technology (IRCAST) Kermanshah,Iran
Ahmad Faraahi
Department of IT and Communication, Payam Noor University,Tehran, Iran
Rohollah Esmaeli Manesh
Department of IT and Communication, Payam Noor University,Tehran, Iran
Ahmad Zareie
Young Researchers Club, songhor Branch, Islamic Azad University, songhor,kermanshah, Iran.
Mir Mohsen Pedram
Engineering Department, Faculty of Engineering, Tarbiat Moallem University, Karaj/Tehran, Iran
Meysam Khosravi
Imam Reza Center Of Applied Science And Technology (IRCAST) Kermanshah,Iran