Adaptive Resource Management in Grid Environment

Adaptive Resource Management in Grid Environment

Man Wang (Tsinghua University, China), Zhihui Du (Tsinghua University, China) and Zhili Cheng (Tsinghua University, China)
DOI: 10.4018/978-1-60566-184-1.ch011
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Abstract

Resource Management System (RMS), which manages the Grid resources and matches the applications’ requests to the proper resources, is one of the most important and complex parts in Grid systems. In fact, because of the complexity of Gird environment, one resource management approach alone cannot satisfy different applications’ requirement. Therefore, a novel Adaptive Resource Management (ARM) mechanism is provided here. This mechanism is based on multidimensional Grid QoS, which dynamically organizes Grid resources into Task Resources for feasible distribution. Moreover, this management mechanism can select appropriate management approach according to different applications’ requirements, which is well adapted to dynamic Grid environment.
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Introduction

All the facilities, which can be shared and utilized in Grid environment, can be viewed as Grid resources, such as machines, services, and networks. The most predominant quality of Grid is the seamless resources sharing and cooperation in large distributed areas. Central to the Grid system is the Resource Management System (RMS), which manages the Grid resources and matches the applications’ requests to the proper resources.

At this point, the most common purposes of Resource Management System in such a complex environment can be separated into two categories: system-centric policy and user-centric policy. The former attempts to optimize system-wide measurement of performance, while the latter concentrates on delivering maximum utility to the users of the system based on their QoS requirements (Buyya, et al, 2005).

Generally, the functions of RMS include resource storage, resource organization/ discovering, resource matching/allocating, and resource monitoring/recovery. According to Ding (2002), most RMSs have a common service process as follows. When an application makes requests, the RMS adds them into the request queue and then schedules them to different RM (Resource Management) servers for mapping. After that, the RM servers discover the proper resources and establish the relationship between the requests and the resources. Finally, the discovered resources are available to the application.

The literature records a great deal of research on RMS since the onset of Grid research. In Grid computing architecture, the Grid resource management component (Foster and Kesselman, 2004; Krauter, 2002) is a fundamental middleware. Being widely adopted by the industry to build a Grid, the Globus Toolkit provides a set of components for Grid control, management, and execution. The Globus Resource Management and Allocation (GRAM) component is a classic resource management example and the Monitoring and Discovery Service (MDS) component facilitates the selection of Grid resources. Some other systems, such as DI-Gruber (Dumitrescu, 2005), utilize Globus components.

Although much contributing work has been done in this field, an efficient RMS in Grid environment is still a challenging and important problem due to the following reasons:

  • 1.

    Resources in Grid environment are geographically distributed, and in most cases they belong to different autonomously administered domains, which use resource management approaches and control models.

  • 2.

    Resources in Grid environment are heterogeneous. One level resource management can not control all of them well.

  • 3.

    Resources in Grid are dynamic. For example, the resources’ joining and leaving are dynamic, and the current resources performance is changing.

As a result, in the last few years, along with the development of application requests, the adaptive resource management has become popular. Duran-Limon (2004) points out two aspects—openness and ease of use, which are essential to achieving adaptive resource management in middleware. However, some contributing work (Dai, 2008; Kyong, 2006) have been done in this field.

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Background

Currently, there are different research interests and technologies in RMS as follows:

Key Terms in this Chapter

Resource Management: The way of providing grid resources to users by satisfying both requests of users and providers.

QoS in Grid Resource Management: A set of measurements and differentiations on the collective behavior of services in grid resource management.

GRAM: Globus Resource Management and Allocation, a component that allows remote user jobs to request another system’s resources and supports status monitoring of remote jobs.

Computing Unit: A group of grid resources having close physical relationship with each other and can be used as a basic unit for executing a task.

Grid Resource: All abilities which can be shared and used in Grid environment.

GARA: Globus Architecture for Reservation and Allocation, which enables programmers and users to specify and manage end-to-end QoS for Grid-based applications. It also provides a uniform mechanism for making QoS reservations for different types of Grid resources, such as processors, networks and storage devices.

Task Resource: A group of CUs which cover all the resources required by a certain application.

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Editorial Advisory Board
Table of Contents
Foreword
Ruth E. Shaw
Preface
Emmanuel Udoh, Frank Zhigang Wang
Acknowledgment
Emmanuel Udoh
Chapter 1
Emmanuel Udoh, Frank Zhigang Wang, Vineet R. Khare
This chapter presents a historical record of the advent of Grid with a recourse to some basic definitions commonly accepted by most researchers. It... Sample PDF
Overview of Grid Computing
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Chapter 2
Eric Aubanel
The problem of load balancing parallel applications is particularly challenging on computational grids, since the characteristics of both the... Sample PDF
Resource-Aware Load Balancing of Parallel Applications
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Chapter 3
Enis Afgan, Purushotham Bangalore
Grid computing has emerged as the next generation computing platform. Because of the resource heterogeneity that exists in the grid environment... Sample PDF
Assisting Efficient Job Planning and Scheduling in the Grid
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Chapter 4
Kuo-Chan Huang, Po-Chi Shih, Yeh-Ching Chung
Most current grid environments are established through collaboration among a group of participating sites which volunteer to provide free computing... Sample PDF
Effective Resource Allocation and Job Scheduling Mechanisms for Load Sharing in a Computational Grid
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Chapter 5
Tevfik Kosar
As the data requirements of scientific distributed applications increase, the access to remote data becomes the main performance bottleneck for... Sample PDF
Data-Aware Distributed Batch Scheduling
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Chapter 6
Gianni Pucciani, Flavia Donno, Andrea Domenici, Heinz Stockinger
Data replication is a well-known technique used in distributed systems in order to improve fault tolerance and make data access faster. Several... Sample PDF
Consistency of Replicated Datasets in Grid Computing
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Chapter 7
Ming Wu, Xian-He Sun
Rapid advancement of communication technology has changed the landscape of computing. New models of computing, such as business-on-demand, Web... Sample PDF
Quality of Service of Grid Computing
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Chapter 8
QoS in Grid Computing  (pages 75-83)
Zhihui Du, Zhili Cheng, Xiaoying Wang, Chuang Lin
This chapter first summarizes popular terms of QoS related concepts and technologies in grid computing, including SLA, End-to-End QoS Provision and... Sample PDF
QoS in Grid Computing
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Chapter 9
Kris Bubendorfer, Ben Palmer, Ian Welch
A Grid resource broker is the arbiter for access to a Grid’s computational resources and therefore its performance and functionality has a... Sample PDF
Trust and Privacy in Grid Resource Auctions
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Chapter 10
Sandro Fiore, Alessandro Negro, Salvatore Vadacca, Massimo Cafaro, Giovanni Aloisio, Roberto Barbera
Grid computing is an emerging and enabling technology allowing organizations to easily share, integrate and manage resources in a distributed... Sample PDF
An Architectural Overview of the GRelC Data Access Service
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Chapter 11
Man Wang, Zhihui Du, Zhili Cheng
Resource Management System (RMS), which manages the Grid resources and matches the applications’ requests to the proper resources, is one of the... Sample PDF
Adaptive Resource Management in Grid Environment
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Chapter 12
Vineet R. Khare, Frank Zhigang Wang
The need for a dynamic and scalable expansion of the grid infrastructure and resources and other scalability issues in terms of execution efficiency... Sample PDF
Bio-Inspired Grid Resource Management
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Chapter 13
Yuhui Deng, Frank Zhigang Wang, Na Helian
Storage Grid is a new model for deploying and managing the heterogeneous, dynamic, large-scale, and geographically distributed storage resources.... Sample PDF
Service Oriented Storage System Grid
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Chapter 14
Dominic Cherry, Maozhen Li, Man Qi
This chapter presents MediaGrid, a distributed storage system for archiving broadcast media contents. MediaGrid utilizes storage resources donated... Sample PDF
A Distributed Storage System for Archiving Broadcast Media Content
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Chapter 15
Maozhen Li, Man Qi, Bin Yu
The computational grid is rapidly evolving into a service-oriented computing infrastructure that facilitates resource sharing and large-scale... Sample PDF
Service Discovery with Rough Sets
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Chapter 16
Irfan Habib, Ashiq Anjum, Richard McClatchey
Due to some barriers to adoption we have not seen a proliferation of Grid Computing technologies throughout e-Science or other domains. This chapter... Sample PDF
On the Pervasive Adoption of Grid Technologies: A Grid Operating System
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Chapter 17
Kurt Vanmechelen, Jan Broeckhove, Wim Depoorter, Khalid Abdelkader
As grid computing technology moves further up the adoption curve, the issues of dealing with conflicting user requirements formulated by different... Sample PDF
Pricing Computational Resources in Grid Economies
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Chapter 18
Rosario M. Piro
Large, geographically distributed and heterogeneous computing infrastructures, such as the Grid, often span multiple organizations and... Sample PDF
Resource Usage Accounting in Grid Computing
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Chapter 19
Frans Arickx, Jan Broeckhove, Peter Hellinckx, David Dewolfs, Kurt Vanmechelen
Quantum structure or scattering calculations often belong to a class of computational problems involving the aggregation of a set of matrices... Sample PDF
Grid-Based Nuclear Physics Applications
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Chapter 20
Gabriel Aparicio, Fernando Blanco, Ignacio Blanquer, César Bonavides, Juan Luis Chaves, Miguel Embid, Álvaro Hernández
In the last years an increasing demand for Grid Infrastructures has resulted in several international collaborations. This is the case of the EELA... Sample PDF
Developing Biomedical Applications in the Framework of EELA
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Chapter 21
Gerald Schaefer, Roger Tait
Efficient approaches to computationally intensive image processing tasks are currently highly sought after. In this chapter, the authors show how a... Sample PDF
Distributed Image Processing on a Blackboard System
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Chapter 22
Daniele Andreotti, Armando Fella, Eleonora Luppi
The BaBar experiment uses data since 1999 in examining the violation of charge and parity (CP) symmetry in the field of high energy physics. This... Sample PDF
Simulated Events Production on the Grid for the BaBar Experiment
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Chapter 23
Diego Liberati
A framework is proposed that creates, uses, and communicates information, whose organizational dynamics allows performing a distributed cooperative... Sample PDF
A Framework for Semantic Grid in E-Science
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Chapter 24
Roberto Barbera, Valeria Ardizzone, Leandro Ciuffo
The Grid INFN virtual Laboratory for Dissemination Activities (GILDA) is a fully working Grid test-bed devoted to training and dissemination... Sample PDF
Grid INFN Virtual Laboratory for Dissemination Activities (GILDA)
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Chapter 25
Dirk Gorissen, Tom Dhaene, Piet Demeester, Jan Broeckhove
The simulation and optimization of complex systems is a very time consuming and computationally intensive task. Therefore, global surrogate modeling... Sample PDF
Grid Enabled Surrogate Modeling
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Chapter 26
Patrik Skogster
Grid computing is becoming as essential part of different business analysis. In traditional business computing infrastructures data transfer occurs... Sample PDF
GIS Grids and the Business Use of GIS Data
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Chapter 27
Gokop Goteng, Ashutosh Tiwari, Rajkumar Roy
The emerging grid technology provides a secured platform for multidisciplinary experts in the security intelligence profession to collaborate and... Sample PDF
Grid Computing: Combating Global Terrorism with the World Wide Grid
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Chapter 28
Salvatore Scifo
This chapter focuses on the efforts to design and develop a standard pure Java API to access the metadata service of the EGEE Grid middleware, and... Sample PDF
Accessing Grid Metadata through a Web Interface
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Chapter 29
Jyotsna Sharma
Efforts in Grid Computing, both in academia and industry, continue to grow rapidly worldwide for research, scientific and commercial purposes.... Sample PDF
Grid Computing Initiatives in India
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Chapter 30
Hai Jin, Li Qi, Jie Dai, Yaqin Luo
A grid system is usually composed of thousands of nodes which are broadly distributed in different virtual organizations. Owing to geographical... Sample PDF
Dynamic Maintenance in ChinaGrid Support Platform
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