Thanks to advances in wide-area network technologies and the low cost of computing
resources, Grid computing came into being and is currently an active research area. One …

Pilot-Job systems play an important role in supporting distributed scientific computing. They
are used to execute millions of jobs on several cyberinfrastructures worldwide, consuming …

Small jobs, that are typically run for interactive data analyses in datacenters, continue to be
plagued by disproportionately long-running tasks called stragglers. In the production …

The Web is a huge virtual space where to express and share individual opinions, influencing
any aspect of life, with implications for marketing and communication alike. Social Media are …

In big data analytics, timely results, even if based on only part of the data, are often good
enough. For this reason, approximation jobs, which have deadline or error bounds and …

Available grid technologies like the Globus Toolkit make possible for one to run a parallel
application on resources distributed across several administrative domains. Most grid …

For the low-cost hardware-based intrusion detection systems, this paper proposes a memory-
efficient parallel string matching scheme. In order to reduce the number of state transitions …

Grid computing utilizes the distributed heterogeneous resources in order to support
complicated computing problems. Grid can be classified into two types: computing grid and …

Abstract eScience is rapidly changing the way we do research. As a result, many research
labs now need non-trivial computational power. Grid and voluntary computing are well …

Ever more scientists are employing large-scale distributed systems such as grids for their
computational work, instead of tightly coupled high-performance computing systems …