Policies and metrics for schedulers in cloud data-centers using CloudSim simulator
- Title
- Policies and metrics for schedulers in cloud data-centers using CloudSim simulator
- Creator
- Sankaran L.; Saleema J.S.; Suleiman B.
- Description
- Todays cloud technology consumers must address escalating computing and storage demands for services and applications. However, decision-making on provisioning and scheduling is challenging due to varying workflow demands within Infrastructure as a Service (IaaS). This study formulates an optimization problem with multiple objectives to identify optimal policies, employing heuristic metrics through cloud simulation similar to AWS EC2 instances. Experiments involve two task scheduler types, time-shared and space-shared, aimed at minimizing execution time and cost. The study introduces two novel algorithms, SLB and MinMax, for comparison with standard algorithms. It emphasizes the importance of precise quantification of uncertainty in cloud storage allocation and highlights the state-of-the-art policies and metrics achieved through virtualization techniques. The studys novelty lies in simulating both policies at two levels and proposing a novel algorithm for multi-objective optimization while providing cost and time measurements. Contributions include experimenting with various combinations, applying heuristics to entire data center entities, proposing a novel algorithm, and offering cost and time measurements for the optimizations. 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
- Source
- International Journal of Data Science and Analytics
- Date
- 2023-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Cloud; Data-center; Heuristic; Task scheduling; Virtual machines
- Coverage
- Sankaran L., Christ (Deemed to be University), Hosur Road, Bengaluru, 29, India; Saleema J.S., Christ (Deemed to be University), Hosur Road, Bengaluru, 29, India; Suleiman B., The University of Sydney, Sydney, 2006, NSW, Australia
- Rights
- Restricted Access
- Relation
- ISSN: 2364415X
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Sankaran L.; Saleema J.S.; Suleiman B., “Policies and metrics for schedulers in cloud data-centers using CloudSim simulator,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/14473.