System-level virtualization research at Oak Ridge National Laboratory

Scott, Stephen L.; Vallée, Geoffroy; Naughton, Thomas J.; Tikotekar, Anand; Engelmann, Christian; Ong, Hong

doi:10.1016/j.future.2009.07.001

Cited by 15 publications

(12 citation statements)

References 8 publications

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“…Consolidation, Isolation and Migration are the main factors in the system level virtualization and it will be used for the number of reasons [16]. The main objective of this paper is to demonstrate, how the process of performance of the OE System can be improved by the use of cloud base virtualization system.…”

Section: Implement New Techniquesmentioning

confidence: 99%

Enhancing the Performance of Current Online Education System—A Study of Cloud Computing and Virtualization

Riskhan¹,

Muhammed²

2015

JCC

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Online Education (OE) system is an effective and efficient way to perform the education in all sectors of government and non-government educational organization. Low performance and minimum speed are major overhead in the current ongoing OE system due to the increase of users and some system issues. Base on the previous study and recent practical issues, a model is proposed to Enhancing the Performance of Online Education System (EPOES) to examine the bare metal virtualization, isolation and virtual machine templates. Bare metal virtualization has led the native execution, isolation isolated the running application and Virtual Machine Template has help to increase efficiency, avoiding the repetitive installation and operate the server in less time. The proposed model boosts the performance of the current OE system, and examines the benefits of the adaptation of cloud computing and virtualization which can be used to overcome the existing challenges and barriers of the current OE System.

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Section: Implement New Techniquesmentioning

confidence: 99%

Enhancing the Performance of Current Online Education System—A Study of Cloud Computing and Virtualization

Riskhan¹,

Muhammed²

2015

JCC

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“…For long-running services (i.e., grid jobs, or applications communicating with the cloud VMs), one could assume this will involve migration. (Migration was originally developed for load balancing in a server cluster such as MOSIX [36] or Condor [37], and initially only applied to processes without interprocess communication, a drawback that was overcome in [38] and [39] or could be circumvented by virtualization [40].) In the current work, we however do not take into account any extra resource requirements that such migration would involve since we are focusing on a static network dimensioning problem (the request rates are to be seen as steady-state traffic estimates, i.e., long-time averages or upper bounds thereof) and not on an online scenario that deals with short-term variations (i.e., we accept potential temporary degradation of the service during the failover procedure).…”

Section: Findmentioning

confidence: 99%

Joint Dimensioning of Server and Network Infrastructure for Resilient Optical Grids/Clouds

Develder

Buysse

Dhoedt

et al. 2014

IEEE/ACM Trans. Networking

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We address the dimensioning of infrastructure, comprising both network and server resources, for large-scale decentralized distributed systems such as grids or clouds. We design the resulting grid/cloud to be resilient against network link or server failures. To this end, we exploit relocation: Under failure conditions, a grid job or cloud virtual machine may be served at an alternate destination (i.e., different from the one under failurefree conditions). We thus consider grid/cloud requests to have a known origin, but assume a degree of freedom as to where they end up being served, which is the case for grid applications of the bag-of-tasks (BoT) type or hosted virtual machines in the cloud case. We present a generic methodology based on integer linear programming (ILP) that: 1) chooses a given number of sites in a given network topology where to install server infrastructure; and 2) determines the amount of both network and server capacity to cater for both the failure-free scenario and failures of links or nodes. For the latter, we consider either failure-independent (FID) or failure-dependent (FD) recovery. Case studies on Europeanscale networks show that relocation allows considerable reduction of the total amount of network and server resources, especially in sparse topologies and for higher numbers of server sites. Adopting a failure-dependent backup routing strategy does lead to lower resource dimensions, but only when we adopt relocation (especially for a high number of server sites): Without exploiting relocation, potential savings of FD versus FID are not meaningful.

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“…Bare-metal virtualization is used for the reason that it has direct access to hardware resource and its performance is comparable to that of native execution. In contrast, hosted virtualization incurs additional overhead due to the layering of the VMM on top of the host OS when service resource requests from the VMs [13].…”

Section: System-level Virtualization Techniques To Enhance Securitymentioning

confidence: 99%

Enhancing Security by System-Level Virtualization in Cloud Computing Environments

Sun

Chang

Tan

et al. 2011

Communications in Computer and Information Science

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Abstract. Many trends are opening up the era of cloud computing, which will reshape the IT industry. Virtualization techniques have become an indispensable ingredient for almost all cloud computing system. By the virtual environments, cloud provider is able to run varieties of operating systems as needed by each cloud user. Virtualization can improve reliability, security, and availability of applications by using consolidation, isolation, and fault tolerance. In addition, it is possible to balance the workloads by using live migration techniques. In this paper, the definition of cloud computing is given; and then the service and deployment models are introduced. An analysis of security issues and challenges in implementation of cloud computing is identified. Moreover, a system-level virtualization case is established to enhance the security of cloud computing environments.

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System-level virtualization research at Oak Ridge National Laboratory

Cited by 15 publications

References 8 publications

Enhancing the Performance of Current Online Education System—A Study of Cloud Computing and Virtualization

Enhancing the Performance of Current Online Education System—A Study of Cloud Computing and Virtualization

Joint Dimensioning of Server and Network Infrastructure for Resilient Optical Grids/Clouds

Enhancing Security by System-Level Virtualization in Cloud Computing Environments

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