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 …

Workflow scheduling concerns the mapping of complex tasks to cloud resources by taking
into account various Quality of Service requirements. In virtue of continuous proliferation in …

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 …

Workflow scheduling is one of the challenging issues in emerging trends of the distributed
environment that focuses on satisfying various quality of service (QoS) constraints. The …

The modeling of complex computational applications as giant computational workflows has
been a critically effective means of better understanding the intricacies of applications and of …

Nowadays it is becoming more and more attractive to execute workflow applications in the
cloud because it enables workflow applications to use computing resources on demand …

Abstract The emergence of Cloud Computing as a model of service provisioning in
distributed systems instigated researchers to explore its pros and cons on executing different …

Workflows are adopted as a powerful modeling technique to represent diverse applications
in different scientific fields as a number of loosely coupled tasks. Given the unique features …

A workflow is an effective way for modeling complex applications and serves as a means for
scientists and researchers to better understand the details of applications. Cloud computing …

Workflow scheduling involves mapping large tasks onto cloud resources to improve
scheduling efficiency. This has attracted the interest of many researchers, who devoted their …