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Jim Hayes

Researcher at University of California, San Diego

Publications -  14
Citations -  2324

Jim Hayes is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Grid & Grid computing. The author has an hindex of 11, co-authored 14 publications receiving 2314 citations.

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Journal ArticleDOI

The network weather service: a distributed resource performance forecasting service for metacomputing

TL;DR: The current implementation of the NWS for Unix and TCP/IP sockets is described and examples of its performance monitoring and forecasting capabilities are provided.
Journal ArticleDOI

Adaptive computing on the Grid using AppLeS

TL;DR: The AppLeS (Application Level Scheduling) project provides a methodology, application software, and software environments for adaptively scheduling and deploying applications in heterogeneous, multiuser grid environments and outlines the findings.
Proceedings ArticleDOI

Predicting the CPU availability of time-shared Unix systems on the computational grid

TL;DR: In this paper, the authors focus on the problem of making short and medium-term forecasts of CPU availability on time-shared Unix systems and evaluate the accuracy with which availability can be measured using the Unix load average, the Unix utility "vmstat" and the Network Weather Service (NWS) CPU sensor that uses both.
Journal ArticleDOI

Predicting the CPU availability of time-shared Unix systems on the computational grid

TL;DR: In this article, the authors focus on the problem of making short and medium term forecasts of CPU availability on time-shared Unix systems and evaluate the accuracy with which availability can be measured using Unix load average, the Unix utility vmstat, and the Network Weather Service CPU sensor that uses both.
Journal ArticleDOI

The encyclopedia of life project: grid software and deployment

TL;DR: Some common problems and expectations of grid computing for high throughput proteomics are discussed and a domain-specific bioinformatics workflow management system is built on top of APST, which further streamlines grid deployment of life science applications.