Grid computing is defined as a hardware and software infrastructure that enables
coordinated resource sharing within dynamic organizations. In grid computing, the …

In this paper, we develop a fault tolerant job scheduling strategy in order to tolerate faults
gracefully in an economy based grid environment. We propose a novel adaptive task …

In large-scale grids, the probability of a failure is much greater than in traditional parallel
systems [I]. Therefore, fault tolerance has become a crucial area in grid computing. In this …

In this paper, the problem of fault tolerance in grid computing is addressed and a novel
adaptive task replication based fault tolerant job scheduling strategy for economy driven grid …

Media production networks deal with large and predictable video transfers and streaming
sessions which need to be scheduled to optimally use the limited network capacity. As the …

Over the past decade, grid computing has been rapidly becoming a promising model for
highthroughput computing, distirbuted supercomputing, and data-intensive computing [11] …

Media production networks require an efficient collaboration between geographically
distributed actors and offer predictable workloads, making it possible to exploit this …

In Grid computing, the problem of selecting resources to specific jobs can be very complex,
and may require co-allocation of different resources such as specific amount of CPU hours …

Grid applications can be modeled as a composition of rather independent tasks. There are
two approaches to define such a workflow either by combining multiple applications to build …

The aim of our study is to examine whether the overall organization of behavior differs when
people report truthful vs. deceptive messages within the framework of the T-pattern model …