Name
Abstract | ||
|---|---|---|
•Heterogeneous cloud resources and the input tasks of a cloud system are modeled, and an energy-aware resource allocation platform is introduced to optimize the energy consumption of cloud data centers.•Propose a task-based VM-placement algorithm (ETVMC) to reduce the energy consumption, minimize the makespan of the system, and reduce the task rejection rate.•An experimental evaluation to validate the proposed solution utilizing the CloudSim as simulation framework. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.suscom.2018.01.002 | Sustainable Computing: Informatics and Systems |
Keywords | Field | DocType |
Cloud computing,Energy consumption,VM consolidation,Task scheduling,Makespan | Virtualization,Standard algorithms,Job shop scheduling,Virtual machine,Efficient energy use,Computer science,Energy consumption,Rejection rate,Cloud computing,Distributed computing | Journal |
Volume | ISSN | Citations |
20 | 2210-5379 | 3 |
PageRank | References | Authors |
0.37 | 19 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sambit Kumar Mishra | 1 | 34 | 4.35 |
| Deepak Puthal | 2 | 251 | 33.94 |
| Bibhudatta Sahoo | 3 | 91 | 26.57 |
| Prem Prakash Jayaraman | 4 | 378 | 44.66 |
| Song Jun | 5 | 3 | 0.37 |
| Albert Y. Zomaya | 6 | 5709 | 454.84 |
| Rajiv Ranjan | 7 | 4747 | 267.72 |
| Rajiv Ranjan | 8 | 4747 | 267.72 |