Omnivore: Integration of Grid Meta-Scheduling and Peer-to-Peer Technologies

Heidt, M.; Dörnemann, Tim; Dörnemann, Kay; Freisleben, Bernd

doi:10.1109/ccgrid.2008.101

Cited by 8 publications

(5 citation statements)

References 14 publications

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“…Many Grid topologies and topology-aware scheduling and load balancing algorithms have been proposed in the literature. They can implement simple models like Tree ( [2], [3], [4], [5]), Peer-to-Peer [6], mesh [7], star [8], etc. However, real topologies in general integrate different subtopologies at different levels.…”

Section: Introductionmentioning

confidence: 99%

Dynamic and Adaptive Topology-Aware Load Balancing for Grids

Barkallah

Gzara

Ben-Abdallah

2014

2014 IEEE 17th International Conference on Computational Science and Engineering

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Jobs scheduling and load balancing functionalities are crucial for best Grid performance and utilization. In this paper, we present a dynamic and adaptive polyhedron topology-aware Grid load balancing method which we called TunGrid. Its main objective is the extreme decentralization of the scheduling and the load balancing processes at the lowest processing and networking cost. It ensures load balancing through an adaptive local neighborhood propagation strategy of overload. TunGrid was experimented using the GridSim simulator and compared to other methods. Experimental results are presented and discussed.

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Section: Introductionmentioning

confidence: 99%

Dynamic and Adaptive Topology-Aware Load Balancing for Grids

Barkallah

Gzara

Ben-Abdallah

2014

2014 IEEE 17th International Conference on Computational Science and Engineering

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“…The local schedulers managed by individual Grids are guided by a meta-scheduler that receive requests from users and dispatch jobs to a suitable Grid for execution. There are several meta-schedulers [ Peer-to-Peer models [17][ 18] have also been proposed to deal with the problem of single point of failure if a single metascheduler is adopted. However, these researches concentrate on job submissions in the federation of Computing Grids, and the integration issues of Data Grids are not addressed.…”

Section: Introductionmentioning

confidence: 99%

“…16][17][18] developed as middleware to integrate a number of Computing Grids for job execution. In addition to the hierarchical architecture[16],…”

mentioning

confidence: 99%

FedMi: A Federation Middleware for Integrating Heterogeneous Data Grids

Wang

Chen

Hsu

et al. 2011

2011 IEEE Ninth International Symposium on Parallel and Distributed Processing With Applications

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In recent years, Data Grid becomes a promising technology to collect geographically distributed storage resources and provide a large amount of storage capacity. Such resources include personal computers, clusters or high-end servers managed by different administrative domains. Although many production Data Grids have been developed for various usages, there remain no approaches to integrating them together. To solve the problem, we propose a federation middleware, called FedMi, to integrate heterogeneous Data Grids as a single Data Grid and provide users with a uniform access interface. In this paper, four issues, including interoperability among Data Grids, single sign-on, secure communication and high performance data transfer, are addressed. We also present the evaluation results of the approaches proposed to improve the performance of data transfer across Data Grids.

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“…Um Metaescalonador esconde a complexidade do mecanismo de escalonamento do usuário e provê uma forma transparente para execução dos serviços (Liu et al, 2008) (Heidt et al, 2008) (Mann, 2005). Além disso, um Metaescalonador tem como…”

Section: Comparação Entre As Abordagens De Metaescalonadoresunclassified

Oferecimento de QoS para computação em nuvens por meio de metaescalonamento

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Omnivore: Integration of Grid Meta-Scheduling and Peer-to-Peer Technologies

Cited by 8 publications

References 14 publications

Dynamic and Adaptive Topology-Aware Load Balancing for Grids

Dynamic and Adaptive Topology-Aware Load Balancing for Grids

FedMi: A Federation Middleware for Integrating Heterogeneous Data Grids

Oferecimento de QoS para computação em nuvens por meio de metaescalonamento

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