Cloud computing has become an increasingly important research topic given the strong
evolution and migration of many network services to such computational environment. The …

Workflow scheduling in scientific computing systems is one of the most challenging
problems that focuses on satisfying user-defined quality of service requirements while …

This paper discusses approaches and environments for carrying out analytics on Clouds for
Big Data applications. It revolves around four important areas of analytics and Big Data …

The elasticity of Cloud infrastructures makes them a suitable platform for execution of
deadline-constrained workflow applications, because resources available to the application …

Rule-based scheduling algorithms have been widely used on many cloud computing
systems because they are simple and easy to implement. However, there is plenty of room to …

Workflow Scheduling (WFS) mainly focuses on task allocation to achieve the desired
workload balancing by pursuing optimal utilization of available resources. At the same time …

Abstract Effective management of Scientific Workflow Scheduling (SWFS) processes in a
cloud environment remains a challenging task when dealing with large and complex …

Hybrid cloud is a cost-effective way to address the problem of insufficient resources for
satisfying its users' requirements in a private cloud by elastically scaling up or down its …

Hybrid cloud is a cost-efficient way to address the problem of insufficient resources for
meeting the peak demand of its users for a service provider, which elastically scales up or …

We propose a task-oriented multi-objective scheduling method based on ant colony
optimization (MOSACO) to optimize the finite pool of public and private computing resources …