John Brevik
California State University, Long Beach
51 Papers
350 Citations
John Brevik is an academic researcher from California State University, Long Beach. The author has contributed to research in topics: Job scheduler & Computer science. The author has an hindex of 20, co-authored 51 publications. Previous affiliations of John Brevik include College of the Holy Cross & Wheaton College (Massachusetts).
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Papers
Analyzing Market-Based Resource Allocation Strategies for the Computational Grid
Rich Wolski,James S. Plank,John Brevik,Todd Bryan +3 more
- 01 Aug 2001
TL;DR: The authors measure the efficiency of resource allocation under two different market conditions—commodities markets and auctions—and compare both market strategies in terms of price stability, market equilibrium, consumer efficiency, and producer efficiency.
QBETS: queue bounds estimation from time series
Daniel Nurmi,John Brevik,Rich Wolski +2 more
- 12 Jun 2007
TL;DR: Most space-sharing parallel computers presently operated by high-performance computing centers use batch-queuing systems to manage processor allocation, which is a drag on productivity as it makes planning difficult and intellectual continuity hard to maintain.
QBETS: queue bounds estimation from time series
Daniel Nurmi,John Brevik,Rich Wolski +2 more
- 17 Jun 2007
TL;DR: An on-line system for predicting batch-queue delay is introduced and it is shown that it generates correct and accurate bounds for queuing delay for batch jobs from 11 machines over a 9-year period.
Eliciting honest value information in a batch-queue environment
Andrew Mutz,Rich Wolski,John Brevik +2 more
- 19 Sep 2007
TL;DR: This mechanism provides incentives for users to reveal information honestly about job importance and priority in an environment where batch-scheduler resource allocation decisions introduce "externalities" that affect all users.
Running EveryWare on the Computational Grid
Rich Wolski,John Brevik,Chandra Krintz,Graziano Obertelli,Neil Spring,Alan Su +5 more
- 01 Jan 1999
TL;DR: The toolkit, called EveryWare, enables an application to draw computational power transparently from the Grid and provides the experiences gained while building the EveryWare toolkit prototype and the first true Grid application.
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