Efficient on-demand operations in dynamic distributed infrastructures

Steven Y. Ko, Indranil Gupta

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

Abstract

In a large-scale distributed infrastructure, users and administrators typically desire to perform on-demand operations that act upon the most up-to-date state of the infrastructure. These on-demand operations range from monitoring the up-to-date machine properties in the infrastructure, to making Grid scheduling decisions for different tasks based on the current status of the infrastructure. However, the scale and dynamism present in the operating environment make it challenging to support these operations efficiently. This paper discusses several on-demand operations that we have been studying, challenges associated with them, and how to meet the challenges. Specifically, we build techniques for 1) on-demand group monitoring that allows users and administrators of an infrastructure to query and aggregate the up-to-date state of the machines (e.g., CPU utilization) in a group or multiple groups, 2) an on-demand Grid scheduling strategy that makes scheduling decisions based on the current availability of compute nodes, 3) another on-demand Grid scheduling strategy that chooses the best algorithm for the current input data set among multiple algorithms available. We also present our ongoing work.

Original languageEnglish (US)
Title of host publicationProceedings of the 2nd Workshop on Large-Scale Distributed Systems and Middleware, LADIS'08
DOIs
StatePublished - 2009
Event2nd Workshop on Large-Scale Distributed Systems and Middleware, LADIS'08 - Yorktown Heights, NY, United States
Duration: Sep 15 2008Sep 17 2008

Publication series

NameACM International Conference Proceeding Series
Volume341

Other

Other2nd Workshop on Large-Scale Distributed Systems and Middleware, LADIS'08
CountryUnited States
CityYorktown Heights, NY
Period9/15/089/17/08

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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