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

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

This is an introduction to multicast routing, which is the study of methods for routing from one
source to many destinations, or from many sources to many destinations. Multicast is …

In edge environment, many smart application instances are triggered randomly by resource-
constrained Internet of Things (IoT) devices. These application instances usually consist of …

Scientific processes are usually time constrained with overall deadlines and local
milestones. In scientific workflow systems, due to the dynamic nature of the underlying …

Massive parallel business workflows running in the cloud are prone to temporal violations
(namely intermediate runtime delays) due to various reasons such as service performance …

Workflow scheduling in Grids and Clouds is a NP-Hard problem. Constrained workflow
scheduling, arisen in recent years, provides the description of the user requirements through …

Due to the dynamic nature of cloud computing, how to achieve satisfactory QoS (Quality of
Service) in cloud workflow systems becomes a challenge. Meanwhile, since QoS …

The problem of constrained workflow scheduling on heterogeneous computing systems has
been of major interest in the recent years. The user requirements are described by defining …

Data placement is an important issue which aims at reducing the cost of internode data
transfers in cloud especially for data‐intensive applications, in order to improve the …