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The advantages of using virtualization can be impaired if it can not deliver sufficient performance. Running applications in virtualized environment incur performance overheads regarding to the virtualization functionalities like initialization virtual machine image, the booting time of virtual machine, starting, pausing and turning off the virtual machine. Virtualization functionality has implication...
In the era of Internet, one of the most ultimate goals is that users can seamlessly access to any computing application or service at anywhere anytime. Computing infrastructuralization is the path to gradually address the challenge. In this work, elop computing is proposed that encapsulates and integrates various computing elements as services, benefiting from existing advanced computing technology,...
Energy consumption of data centers has been in-creasing continuously during the last years due to rising demands of computational power especially in current Grid- and Cloud-Computing systems. One promising approach of reducing this energy consumption is the consolidation of servers by virtualization. Many low loaded computer systems are virtualized and run on few physical servers for reducing the...
This paper presents the various mechanisms for virtual machine image distribution within a large batch farm and between sites that offer cloud computing services. The work is presented within the context of the Large Hadron Collider Computing Grid (LCG), it has two main goals. First it aims at presenting the CERN specific mechanisms that have been put in place to test the pre-staging of virtual machine...
Performance isolation is desirable in virtual machine based infrastructures to meet Service Level Objectives (SLO). In performance isolation, ideally, no virtual machine should affect performance of other co hosted virtual machine. Virtual machine scheduler is the key in allocating resources among virtual machines. This fact attracts attention towards scheduling, as fairness and resource isolation...
In a volunteer-based Grid, the system must be heterogeneous, and the computation capability of each node varies, and load distribution or load balancing is one of the most important issues in Grid. Some techniques have been proposed for dynamic load distribution which relocates jobs, by migrating running jobs keeping their execution states, from a high-loaded node to a lower-loaded node during execution...
Cloud Computing is the evolution of the Grid Computing paradigm towards service-oriented architectures. The terminology applied to this kind of processing, when describing shared resources, refers to the concept of X as a Service. Such resources are available on demand and at a significantly lower cost compared to self-delivery of individual components (in addition to the price of suitable hardware...
Along with the development of grid computing and cloud computing, finite computing resources supplied by standalone server usually become the bottleneck in the process of system implementation of online trading platform. Moreover, It is difficult to reuse algorithm module and the system also becomes more complicated to achieve. Traditional online trading framework can not preferably solve the problem...
With the rapid development of university informatization, the importance and complexity of data center construction are gradually increasing, by applying cloud computing technology and centralized way, which will provide convenient, safe, high availability, flexible IT resources services for the college, thus effectively utilize resources, increase service capacity and service level of data center.
This paper deals with the design and implementation of a virtual opportunistic grid infrastructure that allows taking advantage of the idle processing capabilities currently available in the computer labs of a university campus, ensuring local users to have priority in accessing the computational resources, while simultaneously, a virtual cluster takes the resources unused by them. A virtualization...
Along with the development of grid computing and cloud computing, finite computing resources supplied by stand-alone server usually become the bottleneck in the process of system implementation of online trading platform. Moreover, It is difficult to reuse algorithm module and the system also becomes more complicated to achieve. Traditional online trading framework can not preferably solve the problem...
With the increasing prevalence of large scale cloud computing environment, researchers has draw more attention about how to provide software as a service through the internet. In this paper, a novel approach named vSaaS is proposed in iVIC platform, which is the virtual computing environment for HaaS and SaaS applications. The aim of this approach is to provide the software as a service from a cloud...
Desktop Grids harvest the computing power of idle desktop computers whether these are volunteer or deployed at an institution. Allowing foreign applications to run on these resources requires the sender of the application to be trusted, but trust in goodwill is never enough. An efficient solution is to provide a secure isolated execution environment ("sandbox"), which does not constrain...
Distributed virtual machines can help to build scalable, manageable, and efficient grid infrastructures. The work proposed in this paper focuses on employing virtual machines for grid computing. In order to efficiently run grid applications, virtual machine resource information should be provided. This paper first discusses the system architecture of virtual machine pools and the process of information...
The primary motivation for uptake of virtualization has been resource isolation, capacity management and resource customization allowing resource providers to consolidate their resources in virtual machines. Various approaches have been taken to integrate virtualization in to scientific Grids especially in the arena of High Performance Computing (HPC) to run grid jobs in virtual machines, thus enabling...
As demand for grid and cloud computing solutions increases, the need for user oriented software to provide access to theses resources also increases. Until recently the use of computing resources was limited to those with exceptional knowledge of the system design and configuration. With the advent of grid middleware projects this started to change allowing for new users not familiar with the complex...
The cloud phenomenon is quickly growing towards becoming the de facto standard of Internet computing, storage and hosting both in industry and academia. The large scalability possibilities offered by cloud platforms can be harnessed not only for services and applications hosting but also as a raw on-demand computing resource. This paper proposes the use of a cloud system as a raw computational on-demand...
Sharing data within grid environments always results in losing control over data usage. If the shared information is medical data, this violates laws as specified in HIPAA, because access to such data must be reconstructible and needs to be tightly controlled. To comply with these regulations it must be guaranteed, that each data access and modification is recorded to produce audit trails. The provided...
Managing virtual machines (VM) in large scale enterprise grid scenarios, commonly encountered in data centers, is extremely challenging. Currently, live VM migration is based on QoS non-conformance events; migration of a VM is initiated as soon as the aggregate resource (CPU and memory) requirements of the VMs on the physical machine (PM) exceed the capacity available on the PM. However, this paper...
Recently, in line with increased hardware performance, resources for individual PCs have increased. These resources are however, seldom fully utilized, resulting in many free or idle resources. We are currently investigating implementing a full grid on windows PCs using virtual machines. This study aims to utilize idle resources on windows PCs within a Linux grid using virtual machines (virtual grid)...
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