We report on the development of a new computational framework for efficiently carrying out parallel data redistribution in a limited memory environment. This new library, MADRE (T...
Resource allocation is a key problem in autonomic computing. In this paper we use a data center scenario to motivate the need for decentralization and cooperative negotiation, and...
Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart,...
Many modern software systems are often large, distributed, written in more than one programming language, and developed using pre-built components. This paper presents the results...
Nowadays, data storage requirements from end-users are growing, demanding more capacity, more reliability and the capability to access information from anywhere. Cloud storage ser...
In this paper we propose a framework dedicated to the development and the execution of parallel applications over large scale global computing platforms. A workflow programming env...