scholarly journals Geographically Distributed Load Balancing with (Almost) Arbitrary Load Functions

Author(s):  
Piotr Skowron ◽  
Krzysztof Rzadca

Author(s):  
You-Fu Yu ◽  
Po-Jung Huang ◽  
Kuan-Chou Lai

P2P Grids could solve large-scale scientific problems by using geographically distributed heterogeneous resources. However, a number of major technical obstacles must be overcome before this potential can be realized. One critical problem to improve the effective utilization of P2P Grids is the efficient load balancing. This chapter addresses the above-mentioned problem by using a distributed load balancing policy. In this chapter, we propose a P2P communication mechanism, which is built to deliver varied information across heterogeneous Grid systems. Basing on this P2P communication mechanism, we develop a load balancing policy for improving the utilization of distributed computing resources. We also develop a P2P resource monitoring system to capture the dynamic resource information for the decision making of load balancing. Moreover, experimental results show that the proposed load balancing policy indeed improves the utilization and achieves effective load balancing.



Author(s):  
Youcef Magnouche ◽  
Pham Tran Anh Quang ◽  
Jeremie Leguay ◽  
Xu Gong ◽  
Feng Zeng


Author(s):  
Federico Cimorelli ◽  
Francesco Delli Priscoli ◽  
Antonio Pietrabissa ◽  
Lorenzo Ricciardi Celsi ◽  
Vincenzo Suraci ◽  
...  


電腦學刊 ◽  
2021 ◽  
Vol 32 (5) ◽  
pp. 128-141
Author(s):  
Yi-Qin Bao Yi-Qin Bao ◽  
Qiang Zhao Yi-Qin Bao ◽  
Hao Zheng Qiang Zhao ◽  
Hong-Tao Zhang Hao Zheng ◽  
Wen-Bin Xu Hong-Tao Zhang ◽  
...  



Author(s):  
Ghalem Belalem ◽  
Naima Belayachi ◽  
Radjaa Behidji ◽  
Belabbes Yagoubi

Data grids are current solutions to the needs of large scale systems and provide a set of different geographically distributed resources. Their goal is to offer an important capacity of parallel calculation, ensure a data effective and rapid access, improve the availability, and tolerate the breakdowns. In such systems, however, these advantages are possible only by using the replication technique. The use of this technique raises the problem of maintaining consistency of replicas of the same data set. In order to guarantee replica set reliability, it is necessary to have high coherence. This fact, however, penalizes performance. In this paper, the authors propose studying balancing influence on replica quality. For this reason, a service of hybrid consistency management is developed, which combines the pessimistic and optimistic approaches and is extended by a load balancing service to improve service quality. This service is articulated on a hierarchical model with two levels.



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