Efficient application scheduling is critical for achieving high performance in heterogeneous
computing environments. The application scheduling problem has been shown to be NP …

To program in distributed computing environments such as grids and clouds, workflow is
adopted as an attractive paradigm for its powerful ability in expressing a wide range of …

Energy-efficient computing is important in several systems ranging from embedded devices
to large scale data centers. Several application domains offer the opportunity to tradeoff …

Cloud computing is one of the most popular distributed environments, in which, multiple
powerful and heterogeneous resources are used by different user applications. Task …

In this paper, we investigate the problem of scheduling precedence-constrained parallel
applications on heterogeneous computing systems (HCSs) like cloud computing …

A new model for task scheduling that dramatically improves the efficiency of parallel systems
Task scheduling for parallel systems can become a quagmire of heuristics, models, and …

Cloud Service Providers are speedily becoming the target platform for scientific workflow
computations due to the massive possible and flexible pay-as-you-go pricing model …

Future requirements for computing speed, system reliability, and cost-effectiveness entail the
development of alternative computers to replace the traditional von Neumann organization …

Task scheduling is an essential aspect of parallel programming. Most heuristics for this NP-
hard problem are based on a simple system model that assumes fully connected processors …

Task schedule optimization enables to attain high performance in both homogeneous and
heterogeneous computing environments. The primary objective of task scheduling is to …