loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Meriem Azaiez 1 ; Walid Chainbi 1 and Hanen Chihi 2

Affiliations: 1 University of Sousse, Tunisia ; 2 Institute of Computer Sciences of Ariana, Tunisia

ISBN: 978-989-758-019-2

Keyword(s): Cloud Computing, Optimization, Scheduling, Green Computing, CloudSim, Genetic Algorithm.

Related Ontology Subjects/Areas/Topics: Cloud Computing ; Cloud Computing Enabling Technology ; Cloud Delivery Models ; Cloud Optimization and Automation ; Cloud Workload Profiling and Deployment Control ; Fundamentals

Abstract: The evolution of network technologies and their reliability on the one hand, and the spread of virtualization techniques on the other hand, have motivated the use of execution and storage resources allocated by distant providers. These resources may progress on demand. Cloud computing deals with such aspects. However, these resources are greedy in energy because they consume huge amounts of electrical energy, which affects the invoicing of Cloud services which depends on run-time and used resources. The environment is affected too due to the emission of greenhouse gas. Therefore, we need Green Cloud computing solutions that reduce the environmental impact. To overcome this Challenge, we study in this paper the relationship between Cloud infrastructure and energy consumption. Then, we present a genetic algorithm based solution that schedules Cloud resources and optimizes the energy consumption and CO_2 emissions of Cloud computing infrastructure based on geographical features of data c enters. Unlike previous work, we propose to optimize the use of Cloud resources by scheduling dynamically the customer’s applications and therefore reduce energy consumption as well as the emission of CO_2. The optimal solution of scheduling is found using multi-objective genetic algorithm. In order to test our model, we extended the CloudSim simulator with a module implementing the dynamic scheduling of customer’s applications. The experiments show promising results related to the adoption of our model. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.227.249.234

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Azaiez, M.; Chainbi, W. and Chihi, H. (2014). A Green Model of Cloud Resources Provisioning.In Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-019-2, pages 135-142. DOI: 10.5220/0004940701350142

@conference{closer14,
author={Meriem Azaiez. and Walid Chainbi. and Hanen Chihi.},
title={A Green Model of Cloud Resources Provisioning},
booktitle={Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2014},
pages={135-142},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004940701350142},
isbn={978-989-758-019-2},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - A Green Model of Cloud Resources Provisioning
SN - 978-989-758-019-2
AU - Azaiez, M.
AU - Chainbi, W.
AU - Chihi, H.
PY - 2014
SP - 135
EP - 142
DO - 10.5220/0004940701350142

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.