DocumentCode
2446137
Title
Resource Provisioning for Enriched Services in Cloud Environment
Author
Aoun, Rosy ; Doumith, Elias A. ; Gagnaire, Maurice
Author_Institution
Networks & Comput. Sci. Dept., TELECOM ParisTech, Paris, France
fYear
2010
fDate
Nov. 30 2010-Dec. 3 2010
Firstpage
296
Lastpage
303
Abstract
Cloud services are based on the provisioning of computing, storage, and networking resources in order to satisfy requests generated by remote end-users. High speed Internet access and multi-core Virtual Machines (VMs) enable today the provisioning of diversified and enriched types of services in Cloud environment. In this paper, we consider several types of basic services and show how their orchestration may lead to the provisioning of more sophisticated services. For this purpose, we define four types of requests that cover the wide spectrum of possible services. We then formulate the resource provisioning problem as a Mixed Integer Linear Program (MILP). We assume that the underlying infrastructure is based on a set of end-to-end connections with guaranteed sustainable bandwidth such as Carrier-Grade Ethernet (CGE) circuits. We investigate the impact of two innovative services on resource allocation carried out by a Cloud Service Provider (CSP). These services correspond to distributed data storage and to multicast data transfer. For the former service, we consider the possibility of splitting a storage request onto different remote storage nodes. The latter service aims to distribute a same data sequence from one server towards multiple remote nodes assuming a limited number of network nodes have multicast capacities. These two innovative services provide a gain of 7% in terms of accepted requests when applied to the 18-node NSFnet backbone network.
Keywords
cloud computing; integer programming; linear programming; resource allocation; virtual machines; 18-node NSFnet backbone network; Internet access; carrier-grade Ethernet circuits; cloud environment; cloud service provider; cloud services; distributed data storage; mixed integer linear program; multicast data transfer; multicore virtual machines; resource allocation; resource provisioning problem; Argon; Bandwidth; Cloud computing; Distributed databases; Equations; Software; Tunneling magnetoresistance; Cloud environment; Enriched services; Multicasting; Resource provisioning; Scheduled demands;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing Technology and Science (CloudCom), 2010 IEEE Second International Conference on
Conference_Location
Indianapolis, IN
Print_ISBN
978-1-4244-9405-7
Electronic_ISBN
978-0-7695-4302-4
Type
conf
DOI
10.1109/CloudCom.2010.43
Filename
5708463
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