A framework for dynamic resource provisioning and adaptation in IaaS clouds

Infrastructure-as-a-Service (IaaS) cloud computing provides the ability to dynamically acquire extra or release existing computing resources on-demand to adapt to dynamic application workloads. In this paper, we propose an extensible framework for on-demand cloud resource provisioning and adaptation...

Full description

Saved in:
Bibliographic Details
Main Authors: TA, Nguyen Binh Duong, GOH, Rick Siow Mong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2011
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/4836
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.sis_research-5839
record_format dspace
spelling sg-smu-ink.sis_research-58392020-01-16T09:18:03Z A framework for dynamic resource provisioning and adaptation in IaaS clouds TA, Nguyen Binh Duong GOH, Rick Siow Mong Infrastructure-as-a-Service (IaaS) cloud computing provides the ability to dynamically acquire extra or release existing computing resources on-demand to adapt to dynamic application workloads. In this paper, we propose an extensible framework for on-demand cloud resource provisioning and adaptation. The core of the framework is a set of resource adaptation algorithms that are capable of making informed provisioning decisions to adapt to workload fluctuations. The framework is designed to manage multiple sets of resources acquired from different cloud providers, and to interact with different local resource managers. We have developed a fully functional web-service based prototype of this framework, and used it for performance evaluation of various resource adaptation algorithms under different realistic settings, e.g. when input data such as jobs' wall times are inaccurate. Extensive experiments have been conducted with both synthetic and real workload traces obtained from the Grid Workload Archives, more specifically the traces from the Large Hadron Collider Computing Grid. The results demonstrate the effectiveness and robustness of our proposed algorithms. 2011-11-29T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/4836 info:doi/10.1109/CloudCom.2011.49 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Software Engineering
spellingShingle Software Engineering
TA, Nguyen Binh Duong
GOH, Rick Siow Mong
A framework for dynamic resource provisioning and adaptation in IaaS clouds
description Infrastructure-as-a-Service (IaaS) cloud computing provides the ability to dynamically acquire extra or release existing computing resources on-demand to adapt to dynamic application workloads. In this paper, we propose an extensible framework for on-demand cloud resource provisioning and adaptation. The core of the framework is a set of resource adaptation algorithms that are capable of making informed provisioning decisions to adapt to workload fluctuations. The framework is designed to manage multiple sets of resources acquired from different cloud providers, and to interact with different local resource managers. We have developed a fully functional web-service based prototype of this framework, and used it for performance evaluation of various resource adaptation algorithms under different realistic settings, e.g. when input data such as jobs' wall times are inaccurate. Extensive experiments have been conducted with both synthetic and real workload traces obtained from the Grid Workload Archives, more specifically the traces from the Large Hadron Collider Computing Grid. The results demonstrate the effectiveness and robustness of our proposed algorithms.
format text
author TA, Nguyen Binh Duong
GOH, Rick Siow Mong
author_facet TA, Nguyen Binh Duong
GOH, Rick Siow Mong
author_sort TA, Nguyen Binh Duong
title A framework for dynamic resource provisioning and adaptation in IaaS clouds
title_short A framework for dynamic resource provisioning and adaptation in IaaS clouds
title_full A framework for dynamic resource provisioning and adaptation in IaaS clouds
title_fullStr A framework for dynamic resource provisioning and adaptation in IaaS clouds
title_full_unstemmed A framework for dynamic resource provisioning and adaptation in IaaS clouds
title_sort framework for dynamic resource provisioning and adaptation in iaas clouds
publisher Institutional Knowledge at Singapore Management University
publishDate 2011
url https://ink.library.smu.edu.sg/sis_research/4836
_version_ 1770575058598625280