Heterogeneous distributed computing systems are the emerging for executing scientific and
computationally intensive applications. Cloud computing in this context describes a …

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

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 …

The evolution toward grid and cloud computing as observed for over a decennium illustrates
the crucial role played by (optical) networks in supporting today's applications. In this paper …

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

Traditionally, research on routing and wavelength assignment over wavelength-routed WDM
networks is concerned with immediate reservation (IR) demands. An IR demand typically …

A computational grid is composed of a set of resource consumers and resources providers.
Usually these entities are independent and making decisions autonomously based on their …

Resource and cost optimization techniques in cloud computing environments target
minimizing expenditure while ensuring efficient resource utilization. This study categorizes …

With the development of Internet technology, distributed task processing has become the
key to solve the problems in big data computing, cloud computing, and collaborative …

We address the dimensioning of infrastructure, comprising both network and server
resources, for large-scale decentralized distributed systems such as grids or clouds. We …