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J.L. Lucas-Simarro, R. Moreno-Vozmediano, R.S. Montero, I.M. Llorente. Scheduling Strategies for Optimal Service Deployment Across Multiple Clouds. Future Generation Computer Systems, 29(6):1431-1441, 2012.


The current cloud market, constituted by many different public cloud providers, is highly fragmented in terms of interfaces, pricing schemes, virtual machine offers and value-add features. In this context, a cloud broker can provide intermediation and aggregation capabilities to enable users to deploy their virtual infrastructures across multiple clouds. However, most of current cloud brokers do not provide advanced service management capabilities to take automatic decisions, based on optimization algorithms, about how to select the optimal cloud to deploy a service, how to distribute optimally the different components of a service among different clouds, or even when to move a given service component from a cloud to another to satisfy some optimization criteria. In this paper we present a modular broker architecture that can work with different scheduling strategies for optimal deploying of virtual services across multiple clouds, based on different optimization criteria (e.g. cost optimization or performance optimization), different user constrains (e.g. budget, performance, instance types, placement, reallocation or load balancing constrains), and different environmental conditions (i.e. static vs. dynamic conditions, regarding instance prices, instance types, service workload, etc.). To probe the benefits of this broker, we analyze the deployment of different clustered services (a HPC cluster and a Web server cluster) on a multi-cloud environment under different conditions, constrains, and optimization criteria


[ Cloud ] [ Medianet ] [ Tin2009-07146 ] [ Cloud ]


Jose Luis Lucas-Simarro
Rafael Moreno-Vozmediano
Ruben S. Montero
Ignacio M. Llorente

BibTex Reference

   Author = {Lucas-Simarro, J.L. and Moreno-Vozmediano, R. and Montero, R.S. and Llorente, I.M.},
   Title = {Scheduling Strategies for Optimal Service Deployment Across Multiple Clouds},
   Journal = {Future Generation Computer Systems},
   Volume = {29},
   Number = {6},
   Pages = {1431--1441},
   Year = {2012}

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