Resource Provision for Batch and Interactive Workloads in Data Centers

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 103 === In this paper we describe a scheduling framework that allocates resources to both batch jobs and interactive jobs simultaneously in a private cloud with a static amount of resources. In the system, every job has an individual service level agreement (SLA), and...

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Main Authors: Ting-Wei Chang, 張庭維
Other Authors: Pangfeng Liu
Format: Others
Language:en_US
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/01111730800533964948
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spelling ndltd-TW-103NTU053921122016-11-19T04:09:56Z http://ndltd.ncl.edu.tw/handle/01111730800533964948 Resource Provision for Batch and Interactive Workloads in Data Centers 資料中心內批次與交互式工作之資源分配 Ting-Wei Chang 張庭維 碩士 國立臺灣大學 資訊工程學研究所 103 In this paper we describe a scheduling framework that allocates resources to both batch jobs and interactive jobs simultaneously in a private cloud with a static amount of resources. In the system, every job has an individual service level agreement (SLA), and violating the SLA incurs penalty. We propose a model to formally quantify the SLA violation penalty of both batch and interactive jobs. The analysis on the interactive jobs focuses on queuing analysis and response time. The analysis on batch jobs focuses on the non-preemptive job scheduling for multiple processing units. Based on this model we also propose algorithms to estimate the penalty for both batch jobs and interactive jobs, and algorithms that reduce the total SLA violation penalty. Our experiment results suggest that our system effectively reduces the total penalty by allocating the right amount of resources to heterogeneous jobs in a private cloud system. Pangfeng Liu 劉邦鋒 2015 學位論文 ; thesis 35 en_US
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description 碩士 === 國立臺灣大學 === 資訊工程學研究所 === 103 === In this paper we describe a scheduling framework that allocates resources to both batch jobs and interactive jobs simultaneously in a private cloud with a static amount of resources. In the system, every job has an individual service level agreement (SLA), and violating the SLA incurs penalty. We propose a model to formally quantify the SLA violation penalty of both batch and interactive jobs. The analysis on the interactive jobs focuses on queuing analysis and response time. The analysis on batch jobs focuses on the non-preemptive job scheduling for multiple processing units. Based on this model we also propose algorithms to estimate the penalty for both batch jobs and interactive jobs, and algorithms that reduce the total SLA violation penalty. Our experiment results suggest that our system effectively reduces the total penalty by allocating the right amount of resources to heterogeneous jobs in a private cloud system.
author2 Pangfeng Liu
author_facet Pangfeng Liu
Ting-Wei Chang
張庭維
author Ting-Wei Chang
張庭維
spellingShingle Ting-Wei Chang
張庭維
Resource Provision for Batch and Interactive Workloads in Data Centers
author_sort Ting-Wei Chang
title Resource Provision for Batch and Interactive Workloads in Data Centers
title_short Resource Provision for Batch and Interactive Workloads in Data Centers
title_full Resource Provision for Batch and Interactive Workloads in Data Centers
title_fullStr Resource Provision for Batch and Interactive Workloads in Data Centers
title_full_unstemmed Resource Provision for Batch and Interactive Workloads in Data Centers
title_sort resource provision for batch and interactive workloads in data centers
publishDate 2015
url http://ndltd.ncl.edu.tw/handle/01111730800533964948
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