2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC)

7-10 Dec. 2015

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  • [Front cover]

    Publication Year: 2015, Page(s): C4
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  • [Title page i]

    Publication Year: 2015, Page(s): i
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  • [Title page iii]

    Publication Year: 2015, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2015, Page(s): iv
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  • Table of contents

    Publication Year: 2015, Page(s):v - xiv
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  • Message from General Chairs

    Publication Year: 2015, Page(s): xv
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  • Message from Programme Chairs

    Publication Year: 2015, Page(s): xvi
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  • Message from Cloud Challenge Chairs

    Publication Year: 2015, Page(s): xvii
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  • Message from Doctoral Symposium Chair

    Publication Year: 2015, Page(s): xviii
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  • Message from Tutorials Chairs

    Publication Year: 2015, Page(s): xix
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  • Conference Organization

    Publication Year: 2015, Page(s): xx
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  • Program Committee

    Publication Year: 2015, Page(s):xxi - xxii
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  • Reviewers

    Publication Year: 2015, Page(s): xxiii
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  • Steering Committee

    Publication Year: 2015, Page(s): xxiv
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  • Is Cloud Storage Ready? A Comprehensive Study of IP-Based Storage Systems

    Publication Year: 2015, Page(s):1 - 10
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (307 KB) | HTML iconHTML

    Traditionally, network storage systems have mainly been dominated by two IP-based storage technologies, i.e., Network Attached Storage (NAS) and Storage Area Network (SAN). In recent years, cloud based storage (e.g., Amazon S3) has gained growing popularity for its high flexibility and cross-platform compatibility. Many enterprises are considering to replace traditional storage systems with cloud-... View full abstract»

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  • CloudSimDisk: Energy-Aware Storage Simulation in CloudSim

    Publication Year: 2015, Page(s):11 - 15
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (761 KB) | HTML iconHTML

    The cloud computing paradigm is continually evolving, and with it, the size and the complexity of its infrastructure. Assessing the performance of a cloud environment is an essential but an arduous task. Further, the energy consumed by data centers is steadily increasing and major components such as the storage systems need to be more energy efficient. Cloud simulation tools have proved quite usef... View full abstract»

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  • Domain Isolation in a Multi-tenant Software-Defined Network

    Publication Year: 2015, Page(s):16 - 25
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (638 KB) | HTML iconHTML

    Software-Defined Networking (SDN) has evolved as a new networking paradigm to solve many of current obstacles and limitations in communication networks. While initially intended mainly for single-domain networks, SDN technology is going to be deployed also to large cloud-based data centers where several customers, called tenants, share network resources. In a multi-tenant environment, the SDN tech... View full abstract»

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  • Improving Resource Efficiency in Internet Cafés by Virtualization and Optimal User Allocation

    Publication Year: 2015, Page(s):26 - 34
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (203 KB) | HTML iconHTML

    The concept of using distributed computing to supply video games to end users has been growing in popularity. Internet cafés are one potential application for this concept. We consider a cloud-based model for Internet cafés where servers provide virtual machines with different specifications in order to meet different kinds of user demand (web browsing, low end gaming, medium end g... View full abstract»

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  • Smart Shuffling in MapReduce: A Solution to Balance Network Traffic and Workloads

    Publication Year: 2015, Page(s):35 - 44
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (359 KB) | HTML iconHTML

    In the context of Hadoop, recent studies show that the shuffle operation accounts for as much as a third of the completion time of a MapReduce job. Consequently, the shuffle phase constitutes a crucial aspect of the scheduling of such jobs. During a shuffle phase, the job scheduler assigns reduce tasks to a set of reduce nodes. This may require multiple intermediate data items which share a key to... View full abstract»

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  • Analysis and Evaluation of I/O Hypervisor Scheduling

    Publication Year: 2015, Page(s):45 - 54
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (293 KB) | HTML iconHTML

    Hypervisors' smooth operation and efficient performance has an immediate effect in the supported Cloud services. We investigate scheduling algorithms that match I/O requests originated from virtual resources, to the physical CPUs that do the actual processing. We envisage a new paradigm of virtualized resource consolidation, where I/O resources required by several Virtual Machines (VMs) in differe... View full abstract»

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  • A Negotiation-Based Resource Allocation Model in IaaS-Markets

    Publication Year: 2015, Page(s):55 - 64
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (608 KB) | HTML iconHTML

    Usually, IaaS providers use the inflexible supermarket approach for trading resources: a provider offers a resource for a fixed price and consumers can buy the offered resources without negotiating with the provider (take it or leave it). Another possibility is an auction based approach. Auctions have well defined rules which are necessary to ensure fair and transparent resource allocation. Howeve... View full abstract»

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  • Towards a Multi-objective VM Reassignment for Large Decentralised Data Centres

    Publication Year: 2015, Page(s):65 - 74
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (547 KB) | HTML iconHTML

    Optimising the IT infrastructure of large, often geographically distributed, organisations goes beyond the classical virtual machine reassignment problem, for two reasons: (i) the data centres of these organisations are composed of a number of hosting departments which have different preferences on what to host and where to host it, (ii) the top-level managers in these data centres make complex de... View full abstract»

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  • Many-objective virtual machine placement for dynamic environments

    Publication Year: 2015, Page(s):75 - 79
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (205 KB) | HTML iconHTML

    This paper presents for the first time a formulation of the Virtual Machine Placement as a Many-Objective problem (MaVMP), considering the simultaneous optimization of the following five objective functions for dynamic environments: (1) power consumption, (2) inter-VM network traffic, (3) economical revenue, (4) number of VM migrations and (5) network traffic overhead for VM migrations. To solve t... View full abstract»

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  • OS-Independent Live Migration Scheme for Bare-Metal Clouds

    Publication Year: 2015, Page(s):80 - 89
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (271 KB) | HTML iconHTML

    Bare-metal clouds are an emerging and attractive platform for cloud users who demand extreme computer performance. Bare-metal clouds lease physical machines rather than virtual machines, eliminating a virtualization overhead and providing maximum computer hardware performance. Therefore, bare-metal clouds are suitable for applications that require intensive, consistent, and predictable performance... View full abstract»

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  • QoS-driven Probabilistic Runtime Evaluations of Virtual Machine Placement on Hosts

    Publication Year: 2015, Page(s):90 - 94
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (906 KB) | HTML iconHTML

    We tackle the cloud providers challenge of virtual machine placement when the client experienced Quality of Service (QoS) is of paramount importance and resource demand of virtual machines varies over time. To this end, this work investigates approaches that leverage measured dynamic data for placement decisions. Relying on dynamic data to guide decisions has, on the one hand, the potential to opt... View full abstract»

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