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 …

In Infrastructure-as-a-Service (IaaS) cloud computing, computational resources are provided
to remote users in the form of leases. For a cloud user, he/she can request multiple cloud …

Nowadays, more and more computation-intensive scientific applications with diverse needs
are migrating to cloud computing systems. However, the cloud systems alone cannot meet …

Cloud computing evolved from the concept of utility computing, which is defined as the
provision of computational and storage resources as a metered service. Another key …

In high-level synthesis for real-time embedded systems using heterogeneous functional
units (FUs), it is critical to select the best FU type for each task. However, some tasks may not …

A heterogeneous computing system in a cluster is a promising computing platform, which
attracts a large number of researchers due to its high performance potential. High system …

Cloud data centers consume huge amounts of electrical energy which results in an
increased operational cost, decreased system reliability and carbon dioxide footprints. Thus …

For applications in large-scale distributed systems, it is becoming increasingly important to
provide reliable scheduling by evaluating the reliability of resources. However, most existing …

In scheduling a large number of user jobs for parallel execution on an open-resource grid
system, the jobs are subject to system failures or delays caused by infected hardware …

Clouds are rapidly becoming an important platform for scientific applications. In the Cloud
environment with uncountable numeric nodes, resource is inevitably unreliable, which has a …