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 …

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 …

Scheduling independent tasks on heterogeneous environments, like grids, is not trivial. To
make a good scheduling plan on this kind of environments, the scheduler usually needs …

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 …

With the growing popularity of mobile devices, a new type of peer-to-peer communication
mode for mobile cloud computing has been introduced. By applying a variety of short-range …

Commercial cloud offerings, such as Amazon's EC2, let users allocate compute resources
on demand, charging based on reserved time intervals. While this gives great¿ exibility to …

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

The scheduling and execution of bag-of-tasks applications (BoTs) in Clouds is performed on
sets of virtualized Cloud resources that start being exhausted right after their allocation …

Data-intensive applications executing over a computational grid demand large data
transfers. These are costly operations. Therefore, taking them into account is mandatory to …

This paper presents a novel Bee Colony based optimization algorithm, named Job Data
Scheduling using Bee Colony (JDS-BC). JDS-BC consists of two collaborating mechanisms …