PlanetLab application management using plush

Albrecht, Jeannie; Tuttle, Christopher A.; Snoeren, Alex C.; Vahdat, Amin

doi:10.1145/1113361.1113370

Cited by 38 publications

(28 citation statements)

References 5 publications

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“…There are various solutions that control executions of in-situ experiments on real platforms (e.g., Plush [1], OMF [29]). The support for provenance tracking in these tools is almost nonexistent [5].…”

Section: Provenance In Experimental Distributed Systems Researchmentioning

confidence: 99%

Towards Complete Tracking of Provenance in Experimental Distributed Systems Research

Buchert

Nussbaum

Gustedt

2015

Euro-Par 2015: Parallel Processing Workshops

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Abstract. Running experiments on modern systems like supercomputers, cloud infrastructures or P2P networks became very complex, both technically and methodologically. It is difficult to re-run an experiment or understand its results even with technical background on the technology and methods used. Storing the provenance of experimental data, i.e., storing information about how the results were produced, proved to be a powerful tool to address similar problems in computational natural sciences. In this paper, we (1) survey provenance collection in various domains of computer science, (2) introduce a new classification of provenance types, and (3) sketch a design of a provenance system inspired by this classification.

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Section: Provenance In Experimental Distributed Systems Researchmentioning

confidence: 99%

Towards Complete Tracking of Provenance in Experimental Distributed Systems Research

Buchert

Nussbaum

Gustedt

2015

Euro-Par 2015: Parallel Processing Workshops

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“…Other solutions like Splay [9] and Plush [14], do not even support low level overlays (i.e. at layer 2 or 3), but rather they build application-level overlays.…”

Section: Related Workmentioning

confidence: 99%

“…In contrast with Splay [9] and Plush [14], during experiment execution, NEPI acts as a PlanetLab controller which can manage PlanetLab slices (groups of slivers) and execute commands within nodes, rather than an agent that runs directly in PlanetLab. NEPI only gives instructions to PlanetLab nodes the way regular users would, using SSH.…”

Section: Deployment Automationmentioning

confidence: 99%

Automated Deployment and Customization of Routing Overlays on Planetlab

Freire

Quereilhac

Turletti

et al. 2012

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. PlanetLab testbed is widely used to evaluate protocols and applications under realistic Internet conditions, but this realism comes at the cost of uncontrolled topology and traffic behavior. The use of overlay networks on PlanetLab can solve this problem by giving more control to the experimenter. However, manually creating such overlays is far from simple, and existing solutions are either not available for all PlanetLab nodes, or lack support for low level overlays. Deployment and customization of overlay architectures are also poorly supported. In this paper we present a flexible solution to support overlay networks on PlanetLab, providing deployment automation, tunneling, routing, and traffic shaping capabilities. By building our solution into NEPI, a general framework for network experimentation, which automates design, deployment, and management of experiments, we simplify the complexity of building overlays on PlanetLab, and foster reusability and extensibility though NEPI's modular structure.

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“…As an evaluation of our hypothesis, we present Plush [Plush 2004;Albrecht et al 2006bAlbrecht et al , 2007, a generic application management infrastructure that provides a unified set of abstractions for specifying, deploying, and monitoring different types of distributed applications in a variety of computing environments. The abstractions in Plush provide mechanisms for interacting with resources, defining computations and services, and achieving synchronization without making any strong assumptions about the application or the execution environment.…”

Section: Contributions and Goalsmentioning

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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PlanetLab application management using plush

Cited by 38 publications

References 5 publications

Towards Complete Tracking of Provenance in Experimental Distributed Systems Research

Towards Complete Tracking of Provenance in Experimental Distributed Systems Research

Automated Deployment and Customization of Routing Overlays on Planetlab

Distributed application configuration, management, and visualization with plush

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