TCAMTSA: Time and Cost based Scheduling Algorithm for Multi Cloud Systems
| Autor: | L. Arockiam, R. Stephen, A. Dalvin Vinoth Kumar, A. Cecil Donald, B. J. Hubert Shanthan |
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| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Computer science business.industry Distributed computing Particle swarm optimization Cloud computing 02 engineering and technology Service provider Task (project management) Scheduling (computing) 020901 industrial engineering & automation Server 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Resource management business Metaheuristic |
| Zdroj: | 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS). |
| DOI: | 10.1109/icaccs51430.2021.9441671 |
| Popis: | Multi Cloud is a novel technology devised to satisfy the deeds of the multiple consumers of cloud. This service is also utilized in public cloud and in private cloud. In multi cloud, no dependency on single resources from single service provider. Scheduling plays major role in multi cloud by assigning resources to the different users. Independent or meta task scheduling and dependent or workflow scheduling algorithms are two different types of multicloud scheduling algorithms. This research article is merely focused on independent task scheduling algorithm. Particle Swarm optimization (PSO) has low convergence rate than another optimization algorithm. Chaotic inertia weight is used in the PSO to get optimal solution. TCAMTSA is metaheuristic and works under multi objective based optimization mechanism. Maximum Completion time and rate are the two major parameters emphasized in this article. |
| Databáze: | OpenAIRE |
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