英语翻译Cloud computing has emerged into an interesting field of researchfrom academic and industrial perspectives,a valuable asset from businessperspective and an optimal way for information access worldwide.Cloudcomputing has turned the vision

英语翻译Cloud computing has emerged into an interesting field of researchfrom academic and industrial perspectives,a valuable asset from businessperspective and an optimal way for information access worldwide.Cloudcomputing has turned the vision
英语翻译
Cloud computing has emerged into an interesting field of researchfrom academic and industrial perspectives,a valuable asset from businessperspective and an optimal way for information access worldwide.Cloudcomputing has turned the vision of “computing utility” into a reality [1] by fulfilling the promise ofproviding computing as the fifth utility like water,gas,electricity,andtelephone.Cloud computing provides centralized computing services on demandbasis [2],and users access computingresources from centralized cloud servers through service providers.Animportant aspect of the cloud revolution is augmenting the computing potentialsof resources constraint devices through Mobile Cloud Computing (MCC).Researchers endeavor different measures to augment computing potentials ofsmart mobile devices.Sharing computation workload in application offloading isa prominent approach for augmenting computing potentials of Smart MobileDevices (SMDs).In [4],we provide thematic taxonomy fordifferent types of application offloading framework.VM migration-basedapplication offloading is among the cloud-based application processingmechanism which involves encapsulation of application in VM instance and migrationof VM to cloud server node.A challenging aspect of VM migration basedoffloading mechanism is the additional overhead associated with the deploymentand management of VM on SMD which requires additional computing resources onSMD.The deployment and management of VM involves the overhead of VM managementin different states of its lifecycle,application deployment in VM and VMmigration; which requires additional computing resources and increases theexecution cost of the application.Therefore,computing resources are consumedabundantly for longer period of time.This paper analyzes different aspects ofVM lifecycle and deployment of VM for application processing; such as VMcreation,application allocation to VM,VM destruction.We investigate the impactof VMs on the execution time of individual applications and total simulationtime in diverse experiments.VMs share the same physical computing resources ofthe computing device; therefore VM deployment for application processingrequires excessive computing resources.We analyze the overhead associated withthe deployment of VMs in application processing from diverse perspectives.Wecollect data by experimentation in simulation environment by employing a cloudsimulator known as CloudSim; which is a simulation toolkit that supports bothsystem and behavior modeling of cloud Infrastructure as a Service; such asdatacenters,VMs,applications (cloudlets) and resource provisioning policies.The paper is organized as follows.

英语翻译Cloud computing has emerged into an interesting field of researchfrom academic and industrial perspectives,a valuable asset from businessperspective and an optimal way for information access worldwide.Cloudcomputing has turned the vision
综合一下就有了

自己翻译嘛，不是很难，打出来太耗事

云计算已经成为了一个有趣的领域的researchfrom学术界和工业界的角度来看，一个有价值的资产从businessperspective和信息访问全球最佳的方式。打开Cloudcomputing“效用计算”的愿景变成现实[1]履行的承诺ofproviding计算作为第五公用事业如供水，供气，电力，andtelephone。云计算提供了集中式计算服务demandbasis [2]，并的用户访问co...

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云计算已经成为了一个有趣的领域的researchfrom学术界和工业界的角度来看，一个有价值的资产从businessperspective和信息访问全球最佳的方式。打开Cloudcomputing“效用计算”的愿景变成现实[1]履行的承诺ofproviding计算作为第五公用事业如供水，供气，电力，andtelephone。云计算提供了集中式计算服务demandbasis [2]，并的用户访问computingresources从集中的云服务器，通过服务提供商。云革命的一种重要的方面增强的计算potentialsof资源约束设备，通过移动云计算（MCC）的研究人员努力不同的措施，以增强计算电位ofsmart移动设备。共享计算工作量的应用程序卸载ISA突出的方法充实的计算潜力，的智能MobileDevices（SMDS）。在[4]中，我们提供专题分类法fordifferent的类型的应用程序卸载框架。VM迁移basedapplication卸载涉及封装应用在VM实例和migrationof的虚拟云服务器节点之间的基于云的应用processingmechanism。一个具有挑战性的方面的VM迁移basedoffloading机制是VM上SMD deploymentand管理需要额外的计算资源onSMD相关的额外开销。部署和管理虚拟机VM管理体系的不同状态，其生命周期涉及的开销，应用部署VM和VMmigration;，这就需要额外的计算资源和的增加theexecution成本的应用。因此，计算资源consumedabundantly较长的一段时间。本文分析了不同方面ofVM生命周期和部署虚拟机的应用程序处理;，如VMcreation，应用分配给VM，VM破坏。我们调查的impactof虚拟机在不同的实验中的个别应用和总simulationtime的执行时间。虚拟机共享相同的物理计算资源OFTHE计算设备，因此应用程序的VM部署processingrequires过多的计算资源。我们从不同的角度分析相关的开销为the部署的虚拟机应用处理。在模拟环境实验称为CloudSim采用cloudsimulator的;这是一个云基础设施作为一种服务该等的asdatacenters，虚拟机，应用（cloudlets）和资源配置政策。纸bothsystem和行为建模仿真工具包，支持Wecollect数据安排如下：

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云计算已经出现于一个有趣的领域的researchfrom学术和工业的角度,一个有价值的资产从businessperspective和最佳方式全球信息访问。Cloudcomputing已经把这个愿景的“计算效用”变为现实[1]通过实现承诺ofproviding计算作为第五效用像水、气、电、andtelephone。云计算提供了集中式计算服务demandbasis[2],和用户访问云服务器comput...

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云计算已经出现于一个有趣的领域的researchfrom学术和工业的角度,一个有价值的资产从businessperspective和最佳方式全球信息访问。Cloudcomputing已经把这个愿景的“计算效用”变为现实[1]通过实现承诺ofproviding计算作为第五效用像水、气、电、andtelephone。云计算提供了集中式计算服务demandbasis[2],和用户访问云服务器computingresources从集中通过服务提供者。一个重要的方面是增加了计算云革命potentialsof资源约束设备通过移动云计算(MCC)。研究人员尝试不同的措施来增加计算的潜力ofsmart移动设备。共享计算工作负载在应用程序卸载isa突出方法的可计算潜力的智能移动设备(出来)。在[4],我们提供专题分类来类型的应用程序卸载框架。VM migration-basedapplication卸载是在基于云的应用程序processingmechanism涉及封装的应用程序在VM实例和migrationof VM云服务器节点。 一个富有挑战性的方面basedoffloading VM迁移机制是额外的开销deploymentand VM上的管理需要额外的计算资源SMD onSMD。 部署和管理虚拟机涉及的开销managementin VM的不同状态的生命周期,应用程序部署在虚拟机和VMmigration;这需要额外的计算资源和增加应用程序的theexecution成本。因此,计算资源consumedabundantly更长一段时间。 本文分析了不同的方面ofVM生命周期和部署虚拟机应用加工;如VMcreation、应用配置虚拟机,虚拟机破坏。我们调查impactof vm上施压

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