Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing largescale computation. The...
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing large-scale computation. The...
Validating distributed systems is particularly difficult, since failures may occur due to a correlated occurrence of faults in different parts of the system. This paper describes ...
Michel Cukier, Ramesh Chandra, David Henke, Jessic...
Efficient and robust metacomputing requires the decomposition of complex jobs into tasks that must be scheduled on distributed processing nodes. There are various ways of creating...
Traditionally, distributed computing problems have been solved by partitioning data into chunks able to be handled by commodity hardware. Such partitioning is not possible in case...
Adopting a programming-language perspective, we study the problem of implementing authentication in a distributed system. We define a process calculus with constructs for authent...
Validation of distributed systems using fault injection is difficult because of their inherent complexity, lack of a global clock, and lack of an easily accessible notion of a gl...
Ramesh Chandra, Michel Cukier, Ryan M. Lefever, Wi...
This paper describes how GLADE, our implementation of the Ada 95 Distributed Systems Annex, can be used to build large object-oriented real-time distributed systems. In addition t...
We understand distributed systems as a collection of distributed computation resources that work together as one harmonious system. It is the great achievement of computer network...
Replication is an area of interest to both distributed systems and databases. The solutions developed from these two perspectives are conceptually similar but differ in many aspec...