E-learning has been a topic of increasing interest in recent years, due mainly to the fact that
increased scheduling flexibility as well as tool support can now be offered at a widely …

In this work we present the Internet Backplane Protocol (IBP), a middleware created to allow
the sharing of storage resources, implemented as part of the network fabric. IBP allows an …

Grid Computing requires the use of software that can divide and farm out pieces of a
program to as many as several thousand computers. This book explores processes and …

Grid technology offers the potential for providing secure access to remote services, thereby
promoting scientific collaborations in an unprecedented scale. Grid Resource Management …

Grid resource management is not just about scheduling jobs on the fastest machines, but
rather about scheduling all compute objects and all data objects on machines whose …

With today's massive jobs spanning thousands of tasks each, cost-optimality has become
more important than ever. Modern distributed data processing paradigms can be …

We introduce LiPS, a new cost-efficient data and task co-scheduler for MapReduce in a
cloud environment. By using linear programming to simultaneously co-schedule data and …

We describe a grid-based approach for enterprise-scale data mining, which is based on
leveraging parallel database technology for data storage, and on-demand compute servers …

In the framework of GridRPC, a new function that allows direct data transfer between RPC
servers is implemented for efficient execution of a Task Sequencing job in a grid …

More than two decades of exponential growth in the supply of the basic computing
resources, rapid progress in the deployment of high performance networks, and escalating …