James Plank

Dr. James Plank

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Research Focus & Metrics

Academic Career Length

37Years (1990-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 1998 in IEEE Transactions on Parallel and Distributed Systems
Verified
Journal Article
Closed access
JPJames Plank
James Plank
KLKai Li
Kai Li
MPM.A. Puening
M.A. Puening
Diskless Checkpointing is a technique for checkpointing the state of a long-running computation on a distributed system without relying on stable storage. As such, it eliminates the performance bottleneck of traditional checkpointing on distributed systems. In this paper, we motivate diskless checkpointing and present the basic diskless checkpointing scheme along with several variants for improved performance. The performance of the basic scheme and its variants is evaluated on a high-performance network of workstations and compared to traditional disk-based checkpointing. We conclude that diskless checkpointing is a desirable alternative to disk-based checkpointing that can improve the performance of distributed applications in the face of failures.

1 August 2001 in The International Journal of High Performance Computing Applications
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Journal Article
Closed access
RWRich Wolski
Rich Wolski
JPJames Plank
James Plank
JBJohn Brevik
John Brevik
TBTodd Bryan
Todd Bryan
In this paper, the authors investigate G-commerce—computational economies for controlling resource allocation in computational Grid settings. They define hypothetical resource consumers (representing users and Grid-aware applications) and resource producers (representing resource owners who “sell” their resources to the Grid). The authors then 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. The results indicate that commodities markets are a better choice for controlling Grid resources than previously defined auction strategies.

1 September 1997 in Software: Practice and Experience
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Journal Article
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JPJames Plank
James Plank


13 November 2002
Verified
Conference Paper
Closed access
RWR. Wolski
R. Wolski
JPJames Plank
James Plank
TBT. Bryan
T. Bryan
JBJ. Brevik
J. Brevik
In this paper we investigate G-commerce-computational economies for controlling resource allocation in Computational Grid settings. We define hypothetical resource consumers (representing users and Grid-aware applications) and resource producers (representing resource owners who "sell" their resources to the Grid). We then measure the efficiency of resource allocation under two different market conditions: commodities markets and auctions. We compare both market strategies in terms of price stability, market equilibrium, consumer efficiency, and producer efficiency. Our results indicate that commodities markets are a better choice for controlling Grid resources than previously defined auction strategies.

11 December 2018 in IEEE Letters of the Computer Society
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Journal Article
Closed access
JPJames Plank
James Plank
CSCatherine Schuman
Catherine Schuman
GBGrant Bruer
Grant Bruer
MDMark E. Dean
Mark E. Dean
GRGarrett Rose
Garrett Rose