Job scheduling in cloud computing plays a crucial role in optimizing resource utilization and
ensuring efficient job allocation. But cloud resources may be wasted, or service performance …

Grid computing is a connected computing infrastructure that furnishes reliable, stable,
ubiquitous, and economic access to high-end computational power. The dynamic nature of …

Cloud computing is a new resource provisioning mechanism, which represents a convenient
way for users to access different computing resources. Periodical workflow applications …

Job scheduling is one of the thrust research area in the discipline of Grid computing.
Scheduling in the Grid environment is not only complicated but also known to be NP …

As HPC systems scale toward exascale, it becomes critical to manage the underlying
resource more effectively. While almost all existing resource management systems schedule …

Complex workflow applications are widely used in scientific computing and economic
analysis, which commonly include both preemptive and non-preemptive tasks. Cloud …

In spite of the existence of a large diversity in literature related to scheduling algorithms in
computational grids, there are only a few efficiently dealing with the inherent uncertainty and …

For numerous computationally complex applications, like financial modelling and Monte
Carlo simulations, the fast generation of high quality non-uniform random numbers (RNs) is …

Over the past decade, scheduling in grid computing system has been an active research.
However, it is still difficult to find an optimal scheduling algorithm in order to achieve load …

Due to the heterogeneity and complexity in grid computing, simple algorithms may not be
able to deal with dynamic jobs properly. In the dynamic mode, incoming jobs reach the …