Simulations of biological macromolecules are important in understanding the physical basis
of complex processes such as protein folding. However, even with increasing computational …

Grids in their current form of deployment and implementation have not been as successful
as hoped in engendering distributed applications. Among other reasons, the level of detail …

The uptake of distributed infrastructures by scientific applications has been limited by the
availability of extensible, pervasive and simple-to-use abstractions which are required at …

Pilot-Jobs support effective distributed resource utilization, and are arguably one of the most
widely-used distributed computing abstractions-as measured by the number and types of …

Abstract Distributed Computing Infrastructure is characterized by interfaces that are
heterogeneous—syntactically and semantically. SAGA represents the most comprehensive …

MapReduce has emerged as an important data-parallel programming model for data-
intensive computing-for Clouds and Grids. However most if not all implementations of …

Cloud computing is a service oriented concept which offers everything as a service. These
services are deployed at the server with necessary credentials in order to provide reliable …

Scientific problems that depend on processing large amounts of data require overcoming
challenges in multiple areas: managing large-scale data distribution, controlling co …

Distributed systems and their specific incarnations have evolved significantly over the years.
Most often, these evolutionary steps have been a consequence of external technology …

Application-level interoperability is defined as the ability of an application to utilize multiple
distributed heterogeneous resources. Such interoperability is becoming increasingly …