Experiences with self-organizing, decentralized grids using the grid appliance
David Isaac Wolinsky, Renato Figueiredo · 2011
"Give a man a fish, feed him for a day. Teach a man to fish, feed him for a lifetime" -- Lau Tzu Large-scale grid computing projects such as TeraGrid and Open Science Grid provide researchers vast amounts of compute resources but with requirements that could limit access, results delayed due to potentially long job queues, and environments and policies that might affect a user's work flow. In many scenarios and in particular with the advent of Infrastructure-as-a-Service (IaaS) cloud computing, individual users and communities can benefit from less restrictive, dynamic systems that include a combination of local resources and on-demand resources provisioned by one or more IaaS provider. These types of scenarios benefit from flexibility in deploying resources, remote access, and environment configuration.