Modern scientific experiments can generate hundreds of gigabytes to terabytes or even petabytes of data that may furthermore be maintained in large numbers of relatively small fil...
Wantao Liu, Brian Tieman, Rajkumar Kettimuthu, Ian...
The performance of a collaborative system depends on how two mandatory collaborative tasks, processing and transmission of user commands, are scheduled. We have developed multiple...
Selection of resources for execution of scientific workflows in data grids becomes challenging with the exponential growth of files as a result of the distribution of scientific e...
This paper addresses the problem of identifying the value of information held by a teammate on a distributed, multi-agent team. It focuses on a distributed scheduling task in whic...
Conventional performance evaluation mechanisms focus on dedicated distributed systems. Grid computing infrastructure, on another hand, is a shared collaborative environment constr...