Priority Task Scheduling Strategy for Heterogeneous Multi-Datacenters in Cloud Computing
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 2
Abstract
With the rapid development in science and technology, cloud computing has emerged to be widely adopted in several IT (Information Technology) areas. It allows for the companies as well as researchers to use the computing resources as a service over a network as internet without owning the infrastructure. However, Due to increasing demand of cloud computing, the growing number of tasks affects the system load and performance. Scheduling of multitasks with respect SLA (Service Level Agreement) can face serious challenges. In order to overcome this problem as well as provide better quality of service, the tasks have to be scheduled in optimal way. In this paper, we address the problem of the priority task scheduling through proposing a global strategy over distributed data-center in cloud computing basing on three parameters: tasks deadline, task age and the task length.
Authors and Affiliations
Naoufal Er-raji, Faouzia Benabbou
e-Learning Proposal Supported by Reasoning based on Instances of Learning Objects
In recent years, new research has appeared in the area of education, which has focused on the use of information technology and the Internet to promote online learning, breaking many barriers of traditional education suc...
Active and Reactive Power Control of Wind Turbine based on Doubly Fed Induction Generator using Adaptive Sliding Mode Approach
In this work, a robust Adaptive sliding mode controller (ASMC) is proposed to improve the dynamic performance of the Doubly Fed Induction generator (DFIG) based wind system under variable wind speed conditions. Firstly,...
The Novelty of A-Web based Adaptive Data-Driven Networks (DDN) Management & Cooperative Communities on the Internet Technology
Nowadays, the area of adaptive data science of all data-driven properties on the Internet remains generally envision through integrated web entity maintenance. In this connection, several clients can collaborate with web...
Localization and Monitoringo of Public Transport Services Based on Zigbee
Regular and systematic public transport is of great importance to all residents in any country, in the city and on commuter routes. In our environment, users of public transport can track the movement of vehicles with gr...
Classification of People who Suffer Schizophrenia and Healthy People by EEG Signals using Deep Learning
More than 21 million people worldwide suffer from schizophrenia. This serious mental disorder exposes people to stigmatization, discrimination, and violation of their human rights. Different works on classification and d...