TY - JOUR
T1 - On delay adjustment for dynamic load balancing in distributed virtual environments
AU - Deng, Yunhua
AU - Lau, Rynson W.H.
PY - 2012
Y1 - 2012
N2 - Distributed virtual environments (DVEs) are becoming very popular in recent years, due to the rapid growing of applications, such as massive multiplayer online games (MMOGs). As the number of concurrent users increases, scalability becomes one of the major challenges in designing an interactive DVE system. One solution to address this scalability problem is to adopt a multiserver architecture. While some methods focus on the quality of partitioning the load among the servers, others focus on the efficiency of the partitioning process itself. However, all these methods neglect the effect of network delay among the servers on the accuracy of the load balancing solutions. As we show in this paper, the change in the load of the servers due to network delay would affect the performance of the load balancing algorithm. In this work, we conduct a formal analysis of this problem and discuss two efficient delay adjustment schemes to address the problem. Our experimental results show that our proposed schemes can significantly improve the performance of the load balancing algorithm with neglectable computation overhead. © 2011 IEEE.
AB - Distributed virtual environments (DVEs) are becoming very popular in recent years, due to the rapid growing of applications, such as massive multiplayer online games (MMOGs). As the number of concurrent users increases, scalability becomes one of the major challenges in designing an interactive DVE system. One solution to address this scalability problem is to adopt a multiserver architecture. While some methods focus on the quality of partitioning the load among the servers, others focus on the efficiency of the partitioning process itself. However, all these methods neglect the effect of network delay among the servers on the accuracy of the load balancing solutions. As we show in this paper, the change in the load of the servers due to network delay would affect the performance of the load balancing algorithm. In this work, we conduct a formal analysis of this problem and discuss two efficient delay adjustment schemes to address the problem. Our experimental results show that our proposed schemes can significantly improve the performance of the load balancing algorithm with neglectable computation overhead. © 2011 IEEE.
KW - delay adjustment
KW - distributed virtual environments.
KW - dynamic load balancing
KW - Multi-server architecture
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84858384514&origin=recordpage
U2 - 10.1109/TVCG.2012.52
DO - 10.1109/TVCG.2012.52
M3 - RGC 21 - Publication in refereed journal
C2 - 22402679
SN - 1077-2626
VL - 18
SP - 529
EP - 537
JO - IEEE Transactions on Visualization and Computer Graphics
JF - IEEE Transactions on Visualization and Computer Graphics
IS - 4
M1 - 6165133
ER -