Scheduling extensive scientific applications that are deadline-aware (usually referred to as workflow) is a difficult task. This research provides virtual machine (VM) placement and scheduling approach for effectively process tasks in the cloud environment while maintaining dependency deadline constraints. The suggested model’s aim reduce application’s energy consumption total execution time ta...

Many scientific workflow applications are driven by simulation generated data, or data collected from sensors or instruments, and the processing of the data is commonly done at a different location from where the data is stored. Moving large quantities of data among different locations is thus a frequently invoked process in scientific workflow applications. These data transfers often have high...

In the face of a large number of task requests submitted by users, the data center in the cloud need not only to finish these massive tasks but also to satisfy the user's service demand. How to divide the resources of the system reasonably and schedule these tasks efficiently is a problem that need be solved in the cloud computing. The task scheduling of workflow is a kind of scheduling model f...

Corresponding Author: Toan Phan Thanh Hanoi National University of Education, Ha Noi, Vietnam Email: [email protected] Abstract: Although workflow scheduling problem has been discussed by many researchers, a few efficient solutions have been introduced for Cloud computing. In this article, we present LPSO, a novel algorithm for workflow scheduling. Based on the Particle Swarm Optimization meth...

Taking advantage of the resource sharing, the cloud computing service mode save the investment cost efficiently.In a cloud computing environment, the workflow task scheduling algorithm is based on the task processing time and the execution cost factors and start point of the user demand for quality of service, in good user experience and the biggest economic benefits both made significant break...

Grid technologies have progressed towards a service-oriented paradigm that enables a new way of service provisioning based on utility computing models, which are capable of supporting diverse computing services. It facilitates scientific applications to take advantage of computing resources distributed world wide to enhance the capability and performance. Many scientific applications in areas s...