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Utility and Cloud Computing (UCC), 2012 IEEE Fifth International Conference on

Date 5-8 Nov. 2012

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  • [Front cover]

    Publication Year: 2012 , Page(s): C4
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  • [Title page i]

    Publication Year: 2012 , Page(s): i
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  • [Title page iii]

    Publication Year: 2012 , Page(s): iii
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  • [Copyright notice]

    Publication Year: 2012 , Page(s): iv
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  • Table of contents

    Publication Year: 2012 , Page(s): v - x
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  • Message from the UCC 2012 Program Chairs

    Publication Year: 2012 , Page(s): xi
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  • UCC 2012 Organizing Committee

    Publication Year: 2012 , Page(s): xii - xiv
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  • UCC 2012 Additional Reviewers

    Publication Year: 2012 , Page(s): xv
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  • Message from the CloudAM 2012 Workshop Co-Chairs

    Publication Year: 2012 , Page(s): xvi
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  • CloudAM 2012 Workshop Organizing Committee

    Publication Year: 2012 , Page(s): xvii
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  • Message from the ITAAC 2012 Workshop Co-Chairs

    Publication Year: 2012 , Page(s): xviii
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  • ITAAC 2012 Workshop Organizing Committee

    Publication Year: 2012 , Page(s): xix
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  • Message from the GCM 2012 Workshop Co-Chairs

    Publication Year: 2012 , Page(s): xx
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  • GCM 2012 Workshop Organizing Committee

    Publication Year: 2012 , Page(s): xxi
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  • Financial Option Market Model for Federated Cloud Environments

    Publication Year: 2012 , Page(s): 3 - 12
    Cited by:  Papers (3)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (326 KB) |  | HTML iconHTML  

    Pay-per-use service by Cloud service providers has attracted customers in the recent past and is still evolving. Since the resources being dealt within Clouds are non-storable and the physical resources need to be replaced very often, pricing the service in a way that would return profit on the initial capital investments to the service providers has been a major issue. Moreover, to maintain Quali... View full abstract»

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  • E-Clouds: A SaaS Marketplace for Scientific Computing

    Publication Year: 2012 , Page(s): 13 - 20
    Cited by:  Papers (2)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (527 KB) |  | HTML iconHTML  

    Cloud computing promises to offer great opportunities for research groups, however when researchers want to execute applications in cloud infrastructures many complex processes must be accomplished. In this paper we present the e-Clouds project which will allow researchers to easily execute many applications on public Infrastructure as a Service (IaaS) solutions. Designed for being a Software as a... View full abstract»

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  • Cloud Deployment Model Selection Assessment for SMEs: Renting or Buying a Cloud

    Publication Year: 2012 , Page(s): 21 - 28
    Request Permissions | Click to expandAbstract | PDF file iconPDF (627 KB) |  | HTML iconHTML  

    Cloud computing technology is increasingly important in the industry with the promise of increased performance, dynamic resource allocation capabilities and provides a convincing opportunity for organizations to outsource their IT infrastructure under the pay-per-use model offered by many public cloud providers. But there are concerns when selecting between the private cloud and the public cloud t... View full abstract»

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  • Expressive Query Support for Multidimensional Data in Distributed Hash Tables

    Publication Year: 2012 , Page(s): 31 - 38
    Cited by:  Papers (4)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (293 KB) |  | HTML iconHTML  

    The quantity and precision of geospatial and time series observational data being collected has increased in tandem with the steady expansion of processing and storage capabilities in modern computing hardware. The storage requirements for this information are vastly greater than the capabilities of a single computer, and are primarily met in a distributed manner. However, distributed solutions of... View full abstract»

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  • Do More Replicas of Object Data Improve the Performance of Cloud Data Centers?

    Publication Year: 2012 , Page(s): 39 - 46
    Cited by:  Papers (2)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (265 KB) |  | HTML iconHTML  

    Nowadays, more and more researchers have focused on the performance of cloud data centers. Successful development of cloud data center paradigm necessitates the best QoS for the end users and the Mean Response Time (MRT) of the data requests is one of the most important performance indicators that shall be emphasized on. A cloud data center consists clusters of Rawdata Servers (RDS) that can provi... View full abstract»

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  • Database Size Estimation by Query Performance -- A Complexity Aspect

    Publication Year: 2012 , Page(s): 47 - 54
    Request Permissions | Click to expandAbstract | PDF file iconPDF (477 KB) |  | HTML iconHTML  

    Many techniques have been proposed to database size estimation. However, the emergency of cloud computing introduces new opportunities along with new challenges. In cloud, a monitoring proxy can be set up by service provider due to the ownership of cloud infrastructure. The collected data allows for service provider to estimate the size of database which may be a black-box to them. We claim that t... View full abstract»

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  • Cells: A Self-Hosting Virtual Infrastructure Service

    Publication Year: 2012 , Page(s): 57 - 64
    Cited by:  Papers (1)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (380 KB) |  | HTML iconHTML  

    We describe the design and implementation of Cells, a novel multi-tenanted virtual infrastructure service. Cells has the unique property of being self-hosting: it operates its own management system within one of the tenant virtual infrastructures that it manages and therefore benefits from the same security, flexibility and scalability as other tenant services. Cells is also differentiated by its ... View full abstract»

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  • A Session-Based Adaptive Admission Control Approach for Virtualized Application Servers

    Publication Year: 2012 , Page(s): 65 - 72
    Cited by:  Papers (10)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (670 KB) |  | HTML iconHTML  

    This paper presents a session-based adaptive admission control approach for virtualized application servers called ACVAS (adaptive Admission Control for Virtualized Application Servers). ACVAS uses measured and predicted resource utilizations of a server to make admission control decisions for new user sessions. Instead of using the traditional on-off control, it implements per session admission c... View full abstract»

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  • Performance Modeling to Support Multi-tier Application Deployment to Infrastructure-as-a-Service Clouds

    Publication Year: 2012 , Page(s): 73 - 80
    Cited by:  Papers (5)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (342 KB) |  | HTML iconHTML  

    Infrastructure-as-a-service (IaaS) clouds support migration of multi-tier applications through virtualization of diverse application stack(s) of components which may require various operating systems and environments. To maximize performance of applications deployed to IaaS clouds while minimizing deployment costs, it is necessary to create virtual machine images to host application components wit... View full abstract»

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  • MAPCloud: Mobile Applications on an Elastic and Scalable 2-Tier Cloud Architecture

    Publication Year: 2012 , Page(s): 83 - 90
    Cited by:  Papers (15)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (1008 KB) |  | HTML iconHTML  

    The rise in popularity of mobile applications creates a growing demand to deliver richer functionality to users executing on mobile devices with limited resources. The availability of cloud computing platforms has made available unlimited and scalable resource pools of computation and storage that can be used to enhance service quality for mobile applications. This paper exploits the observation t... View full abstract»

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  • Elastic Scalable Cloud Computing Using Application-Level Migration

    Publication Year: 2012 , Page(s): 91 - 98
    Cited by:  Papers (3)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (728 KB) |  | HTML iconHTML  

    We present the Cloud Operating System (COS), a middleware framework to support autonomous workload elasticity and scalability based on application-level migration as a reconfiguration strategy. While other scalable frameworks (e.g., MapReduce or Google App Engine) force application developers to write programs following specific APIs, COS provides scalability in a general-purpose programming frame... View full abstract»

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