In the last two decades, the continuous increase of computational power has produced an
overwhelming flow of data. Moreover, the recent advances in Web technology has made it …

Fog computing extends cloud services to the edge of the network. In such scenario, it is
necessary to decide where applications should be executed so that their quality of service …

Currently, Internet applications running on mobile devices generate a massive amount of
data that can be transmitted to a Cloud for processing. However, one fundamental limitation …

This paper addresses performance issues of resource allocation in cloud computing. We
review requirements of different cloud applications and identify the need of considering …

Grid computing enables large-scale resource sharing and collaboration for solving
advanced science and engineering applications. Central to the grid computing is the …

In hybrid clouds, inter-cloud links play a key role in the execution of jobs with data
dependencies. Insufficient available bandwidth in inter-cloud links can increase the …

Cloud computing infrastructure has in recent times gained significant popularity for
addressing the ever growing processing, storage and network requirements of scientific …

Grid systems allow the execution of a class of highly demanding services and applications.
These grids involve communication networks, and their links are essential resources for …

Central to grid processing is the scheduling of application tasks to resources. Schedulers
need to consider heterogeneous computational and communication resources, producing …

Imprecise input data imposes special challenges to grid scheduling. This paper introduces a
novel scheduler based on fuzzy optimization called IP-FULL-FUZZY which considers …