The SIMGRID Project Simulation and Deployment of Distributed Applications

Legrand, Arnaud; Quinson, Martin; Casanova, Henri; Fujiwara, Kayo

doi:10.1109/hpdc.2006.1652196

Cited by 11 publications

(9 citation statements)

References 2 publications

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“…The only dierence lies in the structure of the algorithm. We evaluate our algorithm using the SimGrid simulation toolkit [45] and implementing the whole wave algorithm and synchronization between resources. All our codes, scripts and experiment results are available at http://mescal.imag.fr/membres/arnaud.legrand/distla_2012/.…”

Section: Performance Evaluation Of the Naive Algorithmmentioning

confidence: 99%

Fair scheduling of bag-of-tasks applications using distributed Lagrangian optimization

Bertin¹,

Hunold²,

Legrand³

et al. 2014

Journal of Parallel and Distributed Computing

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International audienceLarge scale distributed systems typically comprise hundreds to millions of entities (applications, users, companies, universities) that have only a partial view of resources (computers, communication links). How to fairly and efficiently share such resources between entities in a distributed way has thus become a critical question. Although not all applications are suitable for execution on large scale distributed computing platform, ideal are the Bag-of-Tasks (BoT) applications. Hence a large fraction of jobs in workloads imposed on Grids is made of sequential applications submitted in the form of BoTs. Up until now, mainly simple mechanisms have been used to ensure a fair sharing of resources among these applications. Although these mechanisms are proved to be efficient for CPU-bound applications, they are known to be ineffective in the presence of network-bound applications. A possible answer resorts to Lagrangian optimization and distributed gradient descent. Under certain conditions, the resource sharing problem can be formulated as a global optimization problem, which can be solved by a distributed self-stabilizing supply and demand algorithm. In the last decade, this technique has been applied to design various network protocols (variants of TCP, multi-path network protocols, wireless network protocols) and even distributed algorithms for smart grids. In this article, we explain how to use this technique for fairly scheduling concurrent BoT applications with arbitrary communication-to-computation ratio on a Grid. Yet, application heterogeneity raises severe convergence and stability issues that did not appear in the previous contexts and need to be addressed by non-trivial modifications. The effectiveness of our proposal is assessed through an extensive set of complex and realistic simulations

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Section: Performance Evaluation Of the Naive Algorithmmentioning

confidence: 99%

Fair scheduling of bag-of-tasks applications using distributed Lagrangian optimization

Bertin¹,

Hunold²,

Legrand³

et al. 2014

Journal of Parallel and Distributed Computing

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“…As simulation systems for an SOA's infrastructure layer, SimGrid [10], OptorSim [4], MicroGrid [17], and GridSim [5] have to be mentioned. All these software packages and approaches perform well in their main application field of simulating elements of an SOA infrastructure layer.…”

Section: Related Workmentioning

confidence: 99%

SimSOA

Thanheiser

Liu

Schmeck

2009

Proceedings of the 2009 ACM Symposium on Applied Computing

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By applying the paradigm of service-oriented computing (SOC) to existing IT infrastructures, companies aim at increasing flexibility and reducing complexity prevalent in their enterprise IT. Yet, introducing SOA brings forward an SOCspecific IT complexity that -among other issues -has to be adressed by a company's IT Service Management (ITSM). To facilitate an ITSM-based assessment of an SOC-based enterprise IT architecture at design-time, this paper presents an approach for an agent-based SOA simulation system: SimSOA. By conducting simulation runs, a design-time assessment of an IT Service architecture with respect to aspects of Availability Management, Service Level Management and others is supported. This paper outlines the architecture of SimSOA and its current state of implementation -and presents an experiment within which the capabilities of SimSOA are analyzed against an ITSM-related scenario.

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“…ALNeM is developed with GRAS [5] that provides a complete API to implement distributed application on top of heterogeneous platforms. Thanks to two different implementations of GRAS, ALNeM can work seamlessly on real platforms as well as on simulated platforms with SimGrid [22]. ALNeM is made of three main parts: 1) a measurement repository (MySQL database); 2) a distributed collection of sensors performing bandwidth, latency and interference measurements; 3) a topology builder with some reconstruction algorithms that use the repository.…”

Section: Assessing the Quality Ofmentioning

confidence: 99%

Assessing the Quality of Automatically Built Network Representations

Dubois

Quinson

2007

Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid '07)

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Abstract-In order to efficiently use Grid resources, users or middlewares must use some network information, and in particular some knowledge of the platform network. As such knowledge is usually not available, one must use tools which automatically build a topological network model through some measurements. Our aim is to define a methodology to assess the quality of these network model building tools, and to apply this methodology to representatives of the main classes of model builders. Using this approach, we show that none of the main existing techniques build models that enable to accurately predict the running time of simple application kernels for actual platforms.

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The SIMGRID Project Simulation and Deployment of Distributed Applications

Cited by 11 publications

References 2 publications

Fair scheduling of bag-of-tasks applications using distributed Lagrangian optimization

Fair scheduling of bag-of-tasks applications using distributed Lagrangian optimization

SimSOA

Assessing the Quality of Automatically Built Network Representations

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