Cargando…
VM Capacity-Aware Scheduling within Budget Constraints in IaaS Clouds
Recently, cloud computing has drawn significant attention from both industry and academia, bringing unprecedented changes to computing and information technology. The infrastructure-as-a-Service (IaaS) model offers new abilities such as the elastic provisioning and relinquishing of computing resourc...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4976937/ https://www.ncbi.nlm.nih.gov/pubmed/27501046 http://dx.doi.org/10.1371/journal.pone.0160456 |
_version_ | 1782446940832661504 |
---|---|
author | Thanasias, Vasileios Lee, Choonhwa Hanif, Muhammad Kim, Eunsam Helal, Sumi |
author_facet | Thanasias, Vasileios Lee, Choonhwa Hanif, Muhammad Kim, Eunsam Helal, Sumi |
author_sort | Thanasias, Vasileios |
collection | PubMed |
description | Recently, cloud computing has drawn significant attention from both industry and academia, bringing unprecedented changes to computing and information technology. The infrastructure-as-a-Service (IaaS) model offers new abilities such as the elastic provisioning and relinquishing of computing resources in response to workload fluctuations. However, because the demand for resources dynamically changes over time, the provisioning of resources in a way that a given budget is efficiently utilized while maintaining a sufficing performance remains a key challenge. This paper addresses the problem of task scheduling and resource provisioning for a set of tasks running on IaaS clouds; it presents novel provisioning and scheduling algorithms capable of executing tasks within a given budget, while minimizing the slowdown due to the budget constraint. Our simulation study demonstrates a substantial reduction up to 70% in the overall task slowdown rate by the proposed algorithms. |
format | Online Article Text |
id | pubmed-4976937 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-49769372016-08-25 VM Capacity-Aware Scheduling within Budget Constraints in IaaS Clouds Thanasias, Vasileios Lee, Choonhwa Hanif, Muhammad Kim, Eunsam Helal, Sumi PLoS One Research Article Recently, cloud computing has drawn significant attention from both industry and academia, bringing unprecedented changes to computing and information technology. The infrastructure-as-a-Service (IaaS) model offers new abilities such as the elastic provisioning and relinquishing of computing resources in response to workload fluctuations. However, because the demand for resources dynamically changes over time, the provisioning of resources in a way that a given budget is efficiently utilized while maintaining a sufficing performance remains a key challenge. This paper addresses the problem of task scheduling and resource provisioning for a set of tasks running on IaaS clouds; it presents novel provisioning and scheduling algorithms capable of executing tasks within a given budget, while minimizing the slowdown due to the budget constraint. Our simulation study demonstrates a substantial reduction up to 70% in the overall task slowdown rate by the proposed algorithms. Public Library of Science 2016-08-08 /pmc/articles/PMC4976937/ /pubmed/27501046 http://dx.doi.org/10.1371/journal.pone.0160456 Text en © 2016 Thanasias et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Thanasias, Vasileios Lee, Choonhwa Hanif, Muhammad Kim, Eunsam Helal, Sumi VM Capacity-Aware Scheduling within Budget Constraints in IaaS Clouds |
title | VM Capacity-Aware Scheduling within Budget Constraints in IaaS Clouds |
title_full | VM Capacity-Aware Scheduling within Budget Constraints in IaaS Clouds |
title_fullStr | VM Capacity-Aware Scheduling within Budget Constraints in IaaS Clouds |
title_full_unstemmed | VM Capacity-Aware Scheduling within Budget Constraints in IaaS Clouds |
title_short | VM Capacity-Aware Scheduling within Budget Constraints in IaaS Clouds |
title_sort | vm capacity-aware scheduling within budget constraints in iaas clouds |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4976937/ https://www.ncbi.nlm.nih.gov/pubmed/27501046 http://dx.doi.org/10.1371/journal.pone.0160456 |
work_keys_str_mv | AT thanasiasvasileios vmcapacityawareschedulingwithinbudgetconstraintsiniaasclouds AT leechoonhwa vmcapacityawareschedulingwithinbudgetconstraintsiniaasclouds AT hanifmuhammad vmcapacityawareschedulingwithinbudgetconstraintsiniaasclouds AT kimeunsam vmcapacityawareschedulingwithinbudgetconstraintsiniaasclouds AT helalsumi vmcapacityawareschedulingwithinbudgetconstraintsiniaasclouds |