Cloud computing environments facilitate applications by providing virtualized resources that can be provisioned dynamically. The advent of Cloud computing as a new model of service provisioning in distributed systems, encourages researchers to investigate its benefits and drawbacks in executing scientific applications such as workflows. There are a mass of researches on the issue of scheduling ...

-Cloud computing, as a new model of service provision in distributed computing environment, faces the great challenge of energy consumption because of its large demand for computing resources. Choosing improper scheduling method to execute cloud workflow tends to result in the waste of power consumption. In order to lower the higher power consumption for cloud workflow executing, we propose a p...

Cloud computing is the latest technology that involves distributed computation over the Internet. It meets the needs of users through sharing resources and using virtual technology. The workflow user applications refer to a set of tasks to be processed within the cloud environment. Scheduling algorithms have a lot to do with the efficiency of cloud computing environments through selection of su...

Next-generation computational sciences feature large-scale workflows of many computing modules that must be deployed and executed in distributed network environments. With limited computing resources, it is often unavoidable to map multiple workflow modules to the same computer node with possible concurrent module execution, whose scheduling may significantly affect the workflow’s end-to-end pe...

Abstract— High-performance computing and vast storage are two key factors required for executing data-intensive applications. In comparison with traditional distributed systems like data grid, cloud computing provides these factors in a more affordable, scalable and elastic platform. Furthermore, accessing data files is critical for performing such applications. Sometimes accessing data becomes...

Cloud computing has emerged as a new style of computing in distributed environment. An efficient and dependable Workflow Scheduling is crucial for achieving high performance and incorporating with enterprise systems. As an effective security services aggregation methodology, Trust Workflow Technology (TWT) has been used to construct composite services. However, in cloud environment, the existin...

In heterogeneous distributed systems, utility grids have emerged as a new model of service. In this service, workflow scheduling is one of the challenging problems for satisfying user’s quality requirements. One of the main issues in work flow scheduling is to minimize the workflow execution cost in terms of time and makespan. In this study, we propose a new workflow scheduling algorithm based ...

We address the problem of scheduling workflow applications on heterogeneous computing systems like cloud computing infrastructures. In general, the cloud workflow scheduling is a complex optimization problem which requires considering different criteria so as to meet a large number of QoS (Quality of Service) requirements. Traditional research in workflow scheduling mainly focuses on the optimi...

With the advent of Grid and application technologies, scientists and engineers are building more and more complex decision support applications to process large data sets, and scheduling distributed decision resources. Such decision resource scheduling processes require means for composing and executing complex workflows. Therefore, many efforts have been made towards the development of workflo...

The goal of workflow application scheduling is to achieve minimal makespan for each workflow. Scheduling workflow applications in high performance computing environments, e.g., clusters, is an NP-Complete problem, and becomes more complicated when potential resource failures are considered. While more research on failure prediction has been witnessed in recent years to improve system availabili...