Parallel tools for a distributed component framework

Alshabani, Iyad; Olejnik, Richard; Toursel, Bernard

doi:10.1109/ictta.2004.1307905

Cited by 7 publications

(1 citation statement)

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“…With computing grid as a central target, the SOAJA platform provides a uniform and transparent interface to the infrastructure of the DG-ADAJ platform. The SOAJA platform, through its orchestration layer, implements an alternative to facilitate execution in the DG-ADAJ environment [1], [13]. With DG-ADAJ executions controlled via an ESB, the orchestration layer is able to offer both the support for execution of complex compositions, as well as elementary execution of the underlying DG-ADAJ environment.…”

Section: Adaj Web Servicesmentioning

confidence: 99%

Load balancing in the SOAJA web service platform

Olejnik

Alshabani

Toursel

et al. 2008

2008 International Multiconference on Computer Science and Information Technology

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The aim of the Service Oriented Adaptative Java Applications (SOAJA) project is to develop a service-oriented infrastructure, which enables efficient running of Java applications in complex, networked computing Grid environments. The SOAJA environment provides components and services for static and dynamic load balancing based on Java object observation. SOAJA can be used to design large scale computing tasks to be executed based on idle time of processor nodes. Java distributed applications consist of parallel objects which SOAJA allocates to Grid nodes at runtime. In this paper, we present mechanisms and algorithms for automatic placement and adaptation of application objects, in response to evolution of resource availability. These mechanisms enable to control the granularity data processing and distribution of the application on the Grid platform.

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Section: Adaj Web Servicesmentioning

confidence: 99%

Load balancing in the SOAJA web service platform

Olejnik

Alshabani

Toursel

et al. 2008

2008 International Multiconference on Computer Science and Information Technology

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Data Mining on Desktop Grid Platforms

Fiolet¹,

Olejnik²,

Laskowski³

et al.

Parallel Processing and Applied Mathematics

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International audienceVery large data volumes and high computation costs in data mining applications justify the use for them of Grid-level massive parallelism. The paper concerns Grid-oriented implementation of the DisDaMin (Distributed Data Mining) project, which proposes distributed knowledge discovery through parallelization of data mining tasks. DisDaMin solves data mining problems by using new distributed algorithms based on special clusterized data decomposition and asynchronous task processing, which match the Grid computing features. The DisDaMin algorithms are embedded inside the DG-ADAJ (Desktop-Grid Adaptative Application in Java) system, which is a middleware platform for Desktop Grid. It provides adaptive control of distributed applications written in Java for Grid or Desktop Grid. It allows an optimized distribution of applications on clusters of Java Virtual Machines, monitoring of application execution and dynamic on-line balancing of processing and communication. Simulations were performed to prove the efficiency of the proposed mechanisms. They were carried on using the French national project Grid'5000 (part of the CoreGrid project) and the DG-ADAJ

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