TopoMon: A Monitoring Tool for Grid Network Topology

Burger, Mathijs den; Kielmann, Thilo; Bal, Henri E.

doi:10.1007/3-540-46080-2_58

Cited by 35 publications

(20 citation statements)

References 12 publications

(12 reference statements)

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“…Ibis then provides dynamic information to the grid application about the available resources, including processors and networks. For this part, we are developing a tool called TopoMon [6], which integrates topology discovery and network monitoring. With the current implementation, Ibis enables Java as a quasi-ubiquitous platform for grid computing.…”

Section: Discussionmentioning

confidence: 99%

Ibis: a flexible and efficient Java‐based Grid programming environment

Nieuwpoort

Maassen

Wrzesinska

et al. 2005

Concurrency and Computation

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165

145

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In computational grids, performance-hungry applications need to simultaneously tap the computational power of multiple, dynamically available sites. The crux of designing grid programming environments stems exactly from the dynamic availability of compute cycles: grid programming environments (a) need to be portable to run on as many sites as possible, (b) they need to be flexible to cope with different network protocols and dynamically changing groups of compute nodes, while (c) they need to provide efficient (local) communication that enables high-performance computing in the first place.Existing programming environments are either portable (Java), or they are flexible (Jini, Java RMI), or they are highly efficient (MPI). No system combines all three properties that are necessary for grid computing. In this paper, we present Ibis, a new programming environment that combines Java's "run everywhere" portability both with flexible treatment of dynamically available networks and processor pools, and with highly efficient, object-based communication. Ibis can transfer Java objects very efficiently by combining streaming object serialization with a zero-copy protocol. Using RMI as a simple test case, we show that Ibis outperforms existing RMI implementations, achieving up to 9 times higher throughputs with trees of objects.

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Section: Discussionmentioning

confidence: 99%

Ibis: a flexible and efficient Java‐based Grid programming environment

Nieuwpoort

Maassen

Wrzesinska

et al. 2005

Concurrency and Computation

Self Cite

165

145

View full text Add to dashboard Cite

show abstract

“…As a matter of fact, in a Grid environment, even traceroute or ping-based tools (e.g., TopoMon [9], Lumeta [2], IDmaps [14], Global Network Positioning [21]) are getting less and less effective. Indeed, these tools rely on ICMP which is more and more often disabled by administrators, once again to avoid Deny Of Service attacks based on flooding.…”

Section: Related Workmentioning

confidence: 99%

A First Step Towards Automatically Building Network Representations

Eyraud-Dubois

Legrand

Quinson

et al. 2007

Euro-Par 2007 Parallel Processing

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To fully harness Grids, users or middlewares must have some knowledge on the topology of the platform interconnection network. As such knowledge is usually not available, one must uses tools which automatically build a topological network model through some measurements. In this article, we define a methodology to assess the quality of these network model building tools, and we apply this methodology to representatives of the main classes of model builders and to two new algorithms. 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. However some of the new algorithms we propose give excellent results in a wide range of situations. Key-words: Network model, topology reconstruction, GridsThis text is also available as a research report of the Laboratoire de l'Informatique du Parallélisme http://www.ens-lyon.fr/LIP. Une premièreétape vers la construction automatique de modèles de réseau d'interconnexionRésumé : Afin de tirer le meilleur parti des grilles, les utilisateurs et les intergiciels doivent avoir connaissance de la topologie du réseau d'interconnexion de la plate-forme utilisée. Comme cette connaissance n'est généralement pas disponible a priori, on doit avoir recours a des outils construisant un modèle du réseau d'interconnexionà partir de mesures. Dans cet article nous définissons une méthodologie pourévaluer la qualité de ces outils de construction de modèles de réseau, et nous l'appliquonsà des représentants des principaux types de reconstructeurs de topologies, ainsi qu'à deux nouveaux algorithmes. Nous montrons qu'aucune des techniques existantes ne produit des modèles qui permettent de prédire avec précision le temps d'exécution sur les plates-formes actuelles de simples noyaux d'applications. Au contraire, un des nouveaux algorithmes obtient de très bons résultats dans des situations très variées.

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“…A number of groups are now developing monitoring services based on the GMA architecture, such as R-GMA [3] (Relational GMA, so-called because it uses a relational model for all data) ReMoS [4], and TOPOMON [2].…”

Section: Grid Monitoring Architecturementioning

confidence: 99%