Due to the advancement of technology the datasets that are being processed nowadays in
modern computer clusters extend beyond the petabyte scale–the 4 detectors of the Large …

The paper surveys the state of the art of task scheduling in Desktop Grid computing systems.
We describe the general architecture of a Desktop Grid system and the computing model …

Users of distributed computing platforms want to obtain a fair share of the resources they
use. With respect to the amount of computation, the most suitable measure of fairness is the …

Assembling and simultaneously using different types of distributed computing infrastructures
(DCI) like Grids and Clouds is an increasingly common situation. Because infrastructures …

Modern physics is based on both theoretical analysis and experimental validation. Complex
scenarios like subatomic dimensions, high energy, and lower absolute temperature are …

We survey the areas of Desktop Grid task scheduling that seem to be insufficiently studied
so far and are promising for efficiency, reliability, and quality of Desktop Grid computing …

Although the hierarchical model appears to be an effective solution to organize the resource
managements in grid systems which have more stringent demand for both scalability and …

ABSTRACT Many applications generate Big Data, like social networking and social
influence programs, cloud applications, public websites, scienti c experiments and …

The existing load balancing research mainly the unilateral fairness of the transmission
network or only stand for the processing host to handle fairness issue. This work addresses …

Large scale computing solutions are increasingly used in the context of Big Data platforms,
where efficient scheduling algorithms play an important role in providing optimized cluster …