Efficient application scheduling algorithms are important for obtaining high performance in
heterogeneous computing systems. In this paper, we present a novel list-based scheduling …

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

Mixed-machine heterogeneous computing (HC) environments utilize a distributed suite of
different high-performance machines, interconnected with high-speed links, to perform …

Advances in hardware and software technologies have made it possible to deploy parallel
applications over increasingly large sets of distributed resources. Consequently, the study of …

To exploit a heterogeneous computing (HC) environment, an application task may be
decomposed into subtasks that have data dependencies. Subtask matching and scheduling …

Summary form only given. This paper is motivated by the observation that different methods
to compute the weights of nodes and edges when scheduling DAGs onto heterogeneous …

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 …

Scheduling computation tasks on processors is the key issue for high-performance
computing. Although a large number of scheduling heuristics have been presented in the …

Effective task scheduling is essential for obtaining high performance in heterogeneous
distributed computing systems (HeDCSs). However, finding an effective task schedule in …

In a heterogeneous distributed computing system, machine and network failures are
inevitable and can have an adverse effect on applications executing on the system. To …