Proactive Resource Provisioning Model for Cloud Federation

被引：1

作者：

Ramakrishnan, Geethapriya ^{[1
]}

Anantharaman, Prashant ^{[2
]}

Mukherjee, Saswati ^{[1
]}

机构：

[1] Anna Univ, Dept Informat Sci & Technol, Madras 600025, Tamil Nadu, India

[2] Dartmouth Coll, Dept Comp Sci, Hanover, NH 03755 USA

来源：

DISTRIBUTED COMPUTING AND INTERNET TECHNOLOGY (ICDCIT 2016) | 2016年 / 9581卷

关键词：

Cloud federation; Resource provisioning; Workload prediction; Insource; Outsource; Sliding window; ARIMA;

D O I：

10.1007/978-3-319-28034-9_22

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Cloud federation addresses the resource scalability issue by enabling infrastructure sharing among multiple clouds. We propose a proactive resource provisioning model for federation based on sliding window prediction technique. We compare the results of the proposed prediction mechanism with the commonly used time series prediction algorithm ARIMA. We developed a simulation environment for cloud federation to investigate the impact of workload prediction based resource provisioning in cloud federation. Finally we compare it with that of resource provisioning without prediction in a federated environment, evaluate the profit and resource utilization associated with both the cases.

引用

页码：169 / 174

页数：6

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