A monitoring service for large-scale dynamic query optimisation in a grid environment

Samad, Mahmoud El; Gossa, Julien; Morvan, Franck; Hameurlain, Abdelkader; Pierson, Jean‐Marc; Brunie, Lionel

doi:10.1504/ijwgs.2008.018889

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…As soon as an agent ends its installation, it asks, to the hosting site, to estimate the following metrics: (i) the site workloads of the migration space, (ii) the availability of its operands, and (iii) the network bandwidth between the agent site and the sites of the space of migration. This estimation is made with a monitoring tool presented in [36]. In this step, an agent supplies to the site its migration space, the architecture characteristics of every site of its migration space and the site addresses producing its operands.…”

Section: Installation Phasementioning

confidence: 99%

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A Mobile Relational Algebra

Morvan

Hameurlain

2011

Mobile Information Systems

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Most of the dynamic query optimization methods proposed in the literature are centralized. This centralization, in a large-scale environment, generates a bottleneck due to relatively important message exchange on a network with a weak bandwidth and strong latency. It becomes thus convenient to render autonomous and self-adaptable the query execution on a large-scale network. In this perspective, we propose a mobile relational algebra to decentralize the control of dynamic query optimization processes. Experiments, in local and large-scale distributed environments, allow: (i) to validate the proposed proactive migration policy, and (ii) to identify the efficiency intervals of proposed mobile relational algebra.

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Section: Installation Phasementioning

confidence: 99%

“…As for the mobility, it can replace distant interactions by local interactions. The originality of our proposal is to make a complete algebra where some parts are published in [3,17,32,36]. In the database field, two kinds of mobility exist: unit [26,39,40] and software [14] mobility.…”

Section: Introductionmentioning

confidence: 99%

A Mobile Relational Algebra

Morvan

Hameurlain

2011

Mobile Information Systems

Self Cite

View full text Add to dashboard Cite

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Evolution of Query Optimization Methods

Hameurlain

Morvan

2009

Transactions on Large-Scale Data- And Knowledge-Centered Systems I

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The Efficiency Challenges of Resource Discovery in Grid Environments

Mollamotalebi

Maghami

Ismail

et al. 2014

Cybernetics and Systems

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Resource discovery is one of the most important services that significantly affects the efficiency of grid computing systems. The inherent dynamic and large-scale characteristics of grid environments make their resource discovery a challenging task. In recent years, different approaches have been proposed for resource discovery, attempting to tackle the challenges of grid environments and improve the efficiency. Being aware of these challenges and approaches is worthwhile in order to choose an appropriate approach according to the application in different organizations. This study reviews the most important factors that should be considered and challenges to be tackled in order to develop an efficient grid resource discovery system.

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A monitoring service for large-scale dynamic query optimisation in a grid environment

Cited by 4 publications

References 29 publications

A Mobile Relational Algebra

A Mobile Relational Algebra

Evolution of Query Optimization Methods

The Efficiency Challenges of Resource Discovery in Grid Environments

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