From virtualized resources to virtual computing grids: the In-VIGO system

Adabala, Sumalatha; Chadha, Vineet; Chawla, Puneet; Figueiredo, Renato; Fortes, J.A.B.; Krsul, Ivan; Matsunaga, Andrea; Tsugawa, Mauricio; Zhang, Jian; Zhao, Ming; Zhu, Li; Zhu, Xiaomin

doi:10.1016/j.future.2003.12.021

Cited by 155 publications

(85 citation statements)

References 16 publications

(20 reference statements)

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“…In addition to Shirako [Irwin et al 2006] and Usher [McNett et al 2007], which are described in Section 4, other similar projects related to virtual machine creation and management include Sandpiper [Wood et al 2007], In-VIGO [Adabala et al 2005], VMPlants [Krsul et al 2004], The Collective [Chandra et al 2005], Virtual Workspaces [Keahey et al 2004], and Virtuoso [Shoykhet et al 2004].…”

Section: Resource Discovery Creation and Acquisitionmentioning

confidence: 99%

Distributed application configuration, management, and visualization with plush

Albrecht

Tuttle

Braud

et al. 2011

ACM Trans. Internet Technol.

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Support for distributed application management in large-scale networked environments remains in its early stages. Although a number of solutions exist for subtasks of application deployment, monitoring, and maintenance in distributed environments, few tools provide a unified framework for application management. Many of the existing tools address the management needs of a single type of application or service that runs in a specific environment, and these tools are not adaptable enough to be used for other applications or platforms. To this end, we present the design and implementation of Plush, a fully configurable application management infrastructure designed to meet the general requirements of several different classes of distributed applications. Plush allows developers to specifically define the flow of control needed by their computations using application building blocks. Through an extensible resource management interface, Plush supports execution in a variety of environments, including both live deployment platforms and emulated clusters. Plush also uses relaxed synchronization primitives for improving fault tolerance and liveness in failure-prone environments. To gain an understanding of how Plush manages different classes of distributed applications, we take a closer look at specific applications and evaluate how Plush provides support for each.

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Section: Resource Discovery Creation and Acquisitionmentioning

confidence: 99%

Distributed application configuration, management, and visualization with plush

Albrecht

Tuttle

Braud

et al. 2011

ACM Trans. Internet Technol.

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“…Most of the related works include some solution to the data management problem, since this is one of the main challenges in VSPs. For instance, the In-VIGO project [3] and VMPlant [8] use a simple local file system which only allows executing tasks in a single node without task migration.…”

Section: Related Workmentioning

confidence: 99%

Efficient Data Management Support for Virtualized Service Providers

Goiri

Julià

Guitart

2009

2009 17th Euromicro International Conference on Parallel, Distributed and Network-Based Processing

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Virtualization has been lately introduced for supporting and simplifying service providers management with promising results. Nevertheless, using virtualization introduces also new challenges that must be considered. One of them relates with the data management in the provider. This paper proposes an innovative approach for performing efficiently all the data-related processes in a virtualized service provider, namely VM creation, VM migration and data stage-in/out. Our solution provides a global repository where clients can upload the task input files and retrieve the output files. In addition, the provider implements a distributed file system (using NFS) in which each node can access its own local disk and the disk of the other nodes. As demonstrated in the evaluation, this allows efficient VM creation and task execution, but also task migration with minimum overhead, while keeping it accessible during the whole process.

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“…Virtual Machines are executed as processes using the grid middleware just like normal applications. Some examples are In-VIGO [3] and Maestro-VC [4].…”

Section: Architecture Designmentioning

confidence: 99%

Support for Urgent Computing Based on Resource Virtualization

Cencerrado

Senar

Cortés

2009

Lecture Notes in Computer Science

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Abstract. Virtualization technologies provide flexible execution environments that could bring important benefits for computational problems with strong deadlines. Large Grid infrastructures are becoming available nowadays and they could be a suitable environment to run such on-demand computations that might be used in decision-making processes. For these computation, we encounter the need to deliver as much resources as possible at particular times. These resources may be provided by different institutions belonging to a grid infrastructure but there are two important issues that must be satisfied. Firstly, all resources must be correctly configured and all the components needed by the application must be properly installed. If there is something small missing that is required then applications will fail. Secondly, the execution of urgent applications must be made quickly in order to produce useful results in time. If applications must wait in a queue, results might be useless because they are obtained too late. To address these issues, we describe a job management service, based on virtualization techniques, that avoids configuration problems and increases the number of available resources to run applications with critical deadlines. We describe the main components of our service that can be used on top of common batch queue systems and we show some experimental results that prove the benefits of applying time-sharing techniques on the virtual machines to increase the performance of urgent computations.

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From virtualized resources to virtual computing grids: the In-VIGO system

Cited by 155 publications

References 16 publications

Distributed application configuration, management, and visualization with plush

Distributed application configuration, management, and visualization with plush

Efficient Data Management Support for Virtualized Service Providers

Support for Urgent Computing Based on Resource Virtualization

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