Performance mining of large-scale data-intensive applications

C. Carothers, B. K. Szymanski, M. Zaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Next generation distributed object systems will be required to support millions if not billions of objects and to persist for long periods of time, such as a simulation of the entire World Web Web or modeling of protein folding. If these complex object systems are to be scalable and run effectively throughout the life-cycle, support is required to share new knowledge, to store existing knowledge about current object behaviors, to modify their behavior, as well as the capacity to accept some degree of risk by exploiting opportunities for software level speculative execution, where objects synchronize only when it becomes absolutely necessary.

Original languageEnglish
Title of host publicationProceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages177
Number of pages1
ISBN (Print)0769515738, 9780769515731
DOIs
Publication statusPublished - 2002
Externally publishedYes
Event16th International Parallel and Distributed Processing Symposium, IPDPS 2002 - Ft. Lauderdale, United States
Duration: 15 Apr 200219 Apr 2002

Other

Other16th International Parallel and Distributed Processing Symposium, IPDPS 2002
CountryUnited States
CityFt. Lauderdale
Period15/4/0219/4/02

    Fingerprint

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Modelling and Simulation

Cite this

Carothers, C., Szymanski, B. K., & Zaki, M. (2002). Performance mining of large-scale data-intensive applications. In Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002 (pp. 177). [1016582] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPDPS.2002.1016582