2011 IEEE Global Telecommunications Conference - GLOBECOM 2011 2011
DOI: 10.1109/glocom.2011.6133666
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Abstract: Abstract-In this paper we investigate sequential decision mechanisms for composite web services. After executing each sub-service within a sequential workflow, decisions are made whether to terminate or continue the execution of the workflow. These decisions are based on observed response times, expected rewards, and typical Service Level Agreement parameters such as costs, penalties, and agreed response-time objectives. We propose a model for the sequential decision-making process within which we explore a co… Show more

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Cited by 8 publications
(10 citation statements)
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“…It is a core function which effectively and efficiently allocates and releases computing resource to meet the demand of cloud users while providing them with satisfactory QoS [54]. Efficient resource management allows cloud service providers to share cloud resources among cloud services and users with high availability and optimized utilization [20][21][22]. It is, yet, a very complicated task for cloud service providers to provide all the required resources to avoid SLA violations due to the limited capacities of available resources.…”
Section: What Is Cloud Resource Management?mentioning
confidence: 99%
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“…It is a core function which effectively and efficiently allocates and releases computing resource to meet the demand of cloud users while providing them with satisfactory QoS [54]. Efficient resource management allows cloud service providers to share cloud resources among cloud services and users with high availability and optimized utilization [20][21][22]. It is, yet, a very complicated task for cloud service providers to provide all the required resources to avoid SLA violations due to the limited capacities of available resources.…”
Section: What Is Cloud Resource Management?mentioning
confidence: 99%
“…Cloud computing supplies a commonly shared pool of on-demand, scalable, and elastic IT resources and services using a pay-per-use pricing model [18,19]. In the meantime, the constant increase in desire for affordable cloud services with stringent service qualities and high-security levels has posed critical challenges on cloud service providers in finding efficient resource allocation policies capable of optimizing the trade-off among energy consumption, operating expense, quality of service, and cybersecurity risks [20,21]. One standard approach that cloud providers adopt to maximize resource usage is Virtual Machine (VM) multiplexing in which they pack several VMs on the same server.…”
Section: Introductionmentioning
confidence: 99%
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“…• pdf : This is a method that applies the request processing time probability density function (PDF) on each server to find out how likely that the server's follow-up processing can meet the request's end-to-end deadline [136]. We extend their method to a global sub deadline assignment method.…”
Section: Simulation Studymentioning
confidence: 99%
“…Traditionally, people using M/M/1 queue [102] to represent the request processing procedure [136], as shown in Figure 6.2. Service requests arrive with a rate λ, wait in a queue with an infinite size, and get processed with a rate µ.…”
Section: Processing Rate Selection For Qos Guaranteementioning
confidence: 99%