Adaptive computing on the grid using AppLeS
Francine Berman, Rich Wolski, Henri Casanova, Walfredo Cirne, Holly Dail, Marcio Faerman, Silvia M. Figueira, J.E. Hayes, Graziano Obertelli, Jennifer M. Schopf, Gary Shao, Shava Smallen, Neil T. Spring, Alan Su, Dmitrii Zagorodnov · IEEE Transactions on Parallel and Distributed Systems · 2003
Ensembles of distributed, heterogeneous resources, also known as computational grids, have emerged as critical platforms for high-performance and resource-intensive applications. Such platforms provide the potential for applications to aggregate enormous bandwidth, computational power, memory, secondary storage, and other resources during a single execution. However, achieving this performance potential in dynamic, heterogeneous environments is challenging. Recent experience with distributed applications indicates that adaptivity is fundamental to achieving application performance in dynamic grid environments. 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. We discuss the AppLeS project and outline our findings.