R
Rich Wolski
Researcher at University of California, Santa Barbara
Publications - 170
Citations - 11376
Rich Wolski is an academic researcher from University of California, Santa Barbara. The author has contributed to research in topics: Cloud computing & Grid. The author has an hindex of 44, co-authored 164 publications receiving 11024 citations. Previous affiliations of Rich Wolski include University of Tennessee & University of California.
Papers
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Proceedings ArticleDOI
The Eucalyptus Open-Source Cloud-Computing System
Daniel Nurmi,Rich Wolski,Chris Grzegorczyk,Graziano Obertelli,Sunil Soman,Lamia Youseff,Dmitrii Zagorodnov +6 more
TL;DR: This work presents Eucalyptus -- an open-source software framework for cloud computing that implements what is commonly referred to as Infrastructure as a Service (IaaS); systems that give users the ability to run and control entire virtual machine instances deployed across a variety physical resources.
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
Francine Berman,Rich Wolski,Henri Casanova,Walfredo Cirne,Holly Dail,M. Faerman,Silvia Figueira,Jim Hayes,Graziano Obertelli,Jennifer M. Schopf,Gary Shao,Shava Smallen,Neil Spring,Alan Su,D. Zagorodnov +14 more
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
Application-Level Scheduling on Distributed Heterogeneous Networks
TL;DR: A set of principles underlying application-level scheduling is defined and a work-in-progress building AppLeS (application- level scheduling) agents are described and illustrated with a detailed description and results for a distributed 2D Jacobi application on two production heterogeneous platforms.
Journal ArticleDOI
Dynamically forecasting network performance using the Network Weather Service
TL;DR: The Network Weather Service (NWS) as discussed by the authors is a generalizable and extensible facility designed to provide dynamic resource performance forecasts in metacomputing environments, including TCP/IP end-to-end throughput and latency.