Article

Multi-tiered distributed computing platform

Authors:

John WaldronAuthors Info & Claims

PPPJ '03: Proceedings of the 2nd international conference on Principles and practice of programming in Java

Pages 191 - 194

Published: 16 June 2003 Publication History

Get Access

Abstract

A simple programmable Java platform-independent distributed computation system has been developed to exploit the free resources on computers linked together by a network. It is a multi-tiered distributed system model, which is unbounded in principal. The system consists of an n-ary tree of nodes where the internal nodes perform the scheduling and the leaves do the processing. The scheduler nodes communicate in a peer-to-peer manner and the processing nodes operate in a strictly client-server manner with their respective scheduler. The independent schedulers on each tier dynamically allocate resources between jobs based on the constantly changing characteristics of the underlying network. The system has been evaluated over a network of 90 PCs with a bioinformatics application.

References

[1]

D. Anderson, J. Cobb, E. Korpela, M. Lebofsky, and D. Werthimer. Massively distributed computing for SETI. Computing in Science & Engineering, 3(1):7883, Feb. 2001.

Digital Library

Google Scholar

[2]

http://boinc.berkeley.edu.

Google Scholar

[3]

http://www.distributed.net.

Google Scholar

[4]

K. Fritsche, J. Power, and J. Waldron. A Java distributed compution library. In 2nd International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT2001), pages 236--243, Taipei, Taiwan, July 2001.

Google Scholar

[5]

S. Hariri, H. Topcuoglu, and M. Wu. Performance-effective and low-complexity task scheduling for heterogeneous computing. IEEE Transactions on Parrallel and Distributed Systems, 13:260--274, Mar. 2002.

Digital Library

Google Scholar

[6]

S. Kanhere, A. Parekh, and H. Sethu. Fair and efficient packet scheduling using elastic round robin. IEEE Transactions on Parrallel and Distributed Systems, 13:324--326, Mar. 2002.

Digital Library

Google Scholar

[7]

T. Keane, R. Allen, T. J. Naughton, J. McInerney, and J. Waldron. Distributed Java platform with programmable MIMD capabilities. In N. Guelfi, E. Astesiano, and G. Reggio, editors, Scientific Engineering for Distributed Java Applications, volume 2604 of Springer Lecture Notes in Computer Science, pages 122--131, Feb. 2003.

Digital Library

Google Scholar

[8]

http://www.shunra.com.

Google Scholar

[9]

http://www.ud.com.

Google Scholar

Cited By

View all

Page AKeane TNaughton T(2008)Scheduling in a dynamic heterogeneous distributed system using estimation errorJournal of Parallel and Distributed Computing10.1016/j.jpdc.2008.07.00468:11(1452-1462)Online publication date: 1-Nov-2008
https://dl.acm.org/doi/10.1016/j.jpdc.2008.07.004
Fischer TFudeus SMerz P(2006)A middleware for job distribution in peer-to-peer networksProceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing10.5555/1775059.1775217(1147-1157)Online publication date: 18-Jun-2006
https://dl.acm.org/doi/10.5555/1775059.1775217
Battré DAngulo D(2006)MPI framework for parallel searching in large biological databasesJournal of Parallel and Distributed Computing10.1016/j.jpdc.2006.08.00366:12(1503-1511)Online publication date: 1-Dec-2006
https://dl.acm.org/doi/10.1016/j.jpdc.2006.08.003

Index Terms

Multi-tiered distributed computing platform
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
2. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language types
  2. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles

Index terms have been assigned to the content through auto-classification.

Recommendations

On the feasibility of dynamic rescheduling on the Intel Distributed Computing Platform
Middleware Industrial Track '10: Proceedings of the 11th International Middleware Conference Industrial track

This paper examines the feasibility of dynamic rescheduling techniques for effectively utilizing compute resources within a data center. Our work is motivated by practical concerns of Intel Distributed Computing Platform (IDCP), an Internet-scale data ...
A new scheduling algorithm for non-preemptive independent tasks on a multi-processor platform
Special Issue on the First Workshop on Declarative Programming for Real-Time and Cyber-Physical Systems (DPRTCPS 2015)

The abort-and-restart scheme from the Priority-based Functional Reactive Programming (PFRP) paradigm eliminates the priority inversion problem. This paper is similar by solving the priority inversion problem using the task order restrictions sets of ...
Efficient Compile-Time Task scheduling for Heterogeneous Distributed Computing Systems
ICPADS '06: Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 1

Efficient task scheduling is essential for obtaining high performance in heterogeneous distributed computing systems (or HeDCSs). Because of its key importance, several scheduling algorithms have been proposed in the literature, which are mainly for ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

PPPJ '03: Proceedings of the 2nd international conference on Principles and practice of programming in Java

June 2003

211 pages

ISBN:0954414519

General Chair:
James Power
National University of Ireland, Maynooth
,
Program Chair:
John Waldron
Trinity College Dublin

Publisher

Computer Science Press, Inc.

United States

Publication History

Published: 16 June 2003

Check for updates

Qualifiers

Article

Conference

PPPJ03

PPPJ03: Principles and Practice of Programming in Java

June 16 - 18, 2003

Kilkenny City, Ireland

Acceptance Rates

Overall Acceptance Rate 29 of 58 submissions, 50%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
681
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 18 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Page AKeane TNaughton T(2008)Scheduling in a dynamic heterogeneous distributed system using estimation errorJournal of Parallel and Distributed Computing10.1016/j.jpdc.2008.07.00468:11(1452-1462)Online publication date: 1-Nov-2008
https://dl.acm.org/doi/10.1016/j.jpdc.2008.07.004
Fischer TFudeus SMerz P(2006)A middleware for job distribution in peer-to-peer networksProceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing10.5555/1775059.1775217(1147-1157)Online publication date: 18-Jun-2006
https://dl.acm.org/doi/10.5555/1775059.1775217
Battré DAngulo D(2006)MPI framework for parallel searching in large biological databasesJournal of Parallel and Distributed Computing10.1016/j.jpdc.2006.08.00366:12(1503-1511)Online publication date: 1-Dec-2006
https://dl.acm.org/doi/10.1016/j.jpdc.2006.08.003

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

On the feasibility of dynamic rescheduling on the Intel Distributed Computing Platform

A new scheduling algorithm for non-preemptive independent tasks on a multi-processor platform

Efficient Compile-Time Task scheduling for Heterogeneous Distributed Computing Systems