Particle Swarm Optimization with Time Varying Parameters for Scheduling in Cloud Computing
نویسندگان
چکیده
منابع مشابه
Parallel Particle Swarm Optimization for Task Scheduling in Cloud Computing
Cloud computing is the internet based computing where sources are accessed via online. These services have the ability to extend the provisioning of resources based on users demand. The user applications are submitted to the virtual machines for processing. So the mapping of user tasks to virtual machines plays a major role in efficient provisioning of resources. The task scheduling problem can...
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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 rese...
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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 rese...
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The aim of this paper is to propose a new particle swarm optimization algorithm to solve a hybrid flowshop scheduling with sequence-dependent setup times problem, which is of great importance in the industrial context. This algorithm is called diversified particle swarm optimization algorithm which is a generalization of particle swarm optimization algorithm and inspired by an anarchic society ...
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ژورنال
عنوان ژورنال: MATEC Web of Conferences
سال: 2015
ISSN: 2261-236X
DOI: 10.1051/matecconf/20152806001