Resource Management for Elastic Publish Subscribe Systems: A Performance Modeling-based Approach (Extended Version)

Nguyen, Phuong; Nahrstedt, Klara

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https://hdl.handle.net/2142/89262 Copy

Description

Title

Resource Management for Elastic Publish Subscribe Systems: A Performance Modeling-based Approach (Extended Version)

Author(s)

• Nguyen, Phuong
• Nahrstedt, Klara

Issue Date

2016-03-05

Keyword(s)

• resource management
• cloud computing

Abstract

As more and more information systems are moving to the cloud, there have been efforts to deploy publish-subscribe (or pub/sub) systems in the cloud environment to take advantage of the elasticity of resources. As a result, there is a need to perform resource management for the cloud-based pub/sub systems that supports various types of jobs, each consists of a series of tasks, or workflow. Designing an efficient and effective resource management approach for the cloud-based pub/sub system is challenging because such an approach needs to be able to support flexible provisioning strategies, model the complex interactions between heterogeneous types of jobs, and provide dynamic resource allocation capability. In this paper, we formulate the resource management problem of elastic pub/sub system as optimization problems using different objectives functions. We model the elastic pub/sub system as a multiple-class open queuing network to derive system performance measures, and propose greedy algorithms to efficiently solve the optimization problems. Our evaluation based on simulation on real system show that our proposed solution outperforms the baseline and is robust in dealing with high-volume and fast-changing workload.

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/89262

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