| Autor: |
Gurpreet Kaur, K.J. Mathai |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
2018 International Conference on Inventive Research in Computing Applications (ICIRCA). |
| DOI: |
10.1109/icirca.2018.8597253 |
| Popis: |
In distributed computing an escalating trend is Cloud computing which mainly focuses on directly delivering computational power to the end-user regardless of when and where. Delivering of services to the users is there such as Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). Cloud computing is having an IaaS model which is a desired platform for workflow execution of scientific applications for example bioinformatics, astronomy, geophysics etc. Hence, several researches are recommencing scientific workflows execution in Infrastructure as a Service cloud computing environment. An algorithm ‘Rank-Based Task Scheduling Algorithm’ (RBTSA) which is proposed by Shilpa Rana et al. have future research scope that is the performance of RBTSA can be tested by calculating the rank of virtual machines by considering different characteristic of bandwidth, physical memory etc. of virtual machines which is considered in this paper. Herein paper an algorithm termed as ‘Multi Criteria Rank-Based Task Scheduling Algorithm’ (MCRBTSA) is planned for scientific workflows tasks scheduling to increase resources utilization in IaaS cloud computing environment. The experimental simulation of research work which is mentioned above is done on ‘WorkflowSim-1.0’ and scientific workflow execution results of proposed MCRBTSA Algorithm are contrasted with the existing ‘Rank-Based Task Scheduling Algorithm’ (RBTSA). Experimentally it shows that MCRBTSA which is proposed have utilization of resources better while scheduling workflow tasks as compared to existing RBTSA and workflow makespan reduction is also there. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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