scholarly journals A PBIL for Load Balancing in Network Coding Based Multicasting

2016 ◽  
pp. 34-44 ◽  
Author(s):  
Huanlai Xing ◽  
Ying Xu ◽  
Rong Qu ◽  
Lexi Xu
Keyword(s):  
Load Balancing ◽  
Network Coding

A Load-Balanced Coding-Aware Multicast Routing in Cognitive Wireless Mesh Networks

2015 ◽  
Vol 740 ◽  
pp. 777-781
Author(s):  
Xiao Jian Shen ◽  
Zhi Gang Chen
Keyword(s):  
Load Balancing ◽  
Network Coding ◽  
Wireless Mesh Networks ◽  
Multicast Routing ◽  
Mesh Networks ◽  
Support Network ◽  
Routing Metric ◽  
Wireless Mesh ◽  
Cognitive Wireless Mesh Networks ◽  
Load Balanced

Cognitive wireless mesh networks use network coding techniques can improve the transmission performance. Thus, a new load-balanced routing measure CRM-LB(Coding-aware Routing Metric with Load Balancing) based on network coding was presented, the CRM-LB increase of the considerations of traffic concentration level congestion level all nodes on the path P based on CRM(Coding-aware Routing Metric). Further proposed cognitive wireless mesh networks multicast routing CLR(Coding and Load-balancing Routing) based on the CRM-LB. The protocol can increase network coding opportunities, taking into account the network load balancing. The performance analysis and simulation results show that the protocol, under the premise of improving throughput, not only to better support network coding, and to achieve load balancing in network.

A modified artificial bee colony algorithm for load balancing in network-coding-based multicast

2018 ◽  
Vol 23 (15) ◽  
pp. 6287-6305 ◽  
Author(s):  
Huanlai Xing ◽  
Fuhong Song ◽  
Lianshan Yan ◽  
Wei Pan
Keyword(s):  
Load Balancing ◽  
Network Coding ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Bee Colony

scholarly journals A hybrid EDA for load balancing in multicast with network coding

2017 ◽  
Vol 59 ◽  
pp. 363-377 ◽  
Author(s):  
Huanlai Xing ◽  
Saifei Li ◽  
Yunhe Cui ◽  
Lianshan Yan ◽  
Wei Pan ◽  
...  
Keyword(s):  
Load Balancing ◽  
Network Coding

Task Scheduling Algorithm based on Resources Segregation in Cloud Environment

2018 ◽  
pp. 96-101
Author(s):  
Shailendra Raghuvanshi ◽  
Priyanka Dubey
Keyword(s):  
Load Balancing ◽  
Task Scheduling ◽  
Waiting Time ◽  
Virtual Machines ◽  
Scheduling Algorithm ◽  
Cloud Environment ◽  
Task Scheduling Algorithm ◽  
Machine Utilization ◽  
Independent Tasks ◽  
Optimal Machine

Load balancing of non-preemptive independent tasks on virtual machines (VMs) is an important aspect of task scheduling in clouds. Whenever certain VMs are overloaded and remaining VMs are under loaded with tasks for processing, the load has to be balanced to achieve optimal machine utilization. In this paper, we propose an algorithm named honey bee behavior inspired load balancing, which aims to achieve well balanced load across virtual machines for maximizing the throughput. The proposed algorithm also balances the priorities of tasks on the machines in such a way that the amount of waiting time of the tasks in the queue is minimal. We have compared the proposed algorithm with existing load balancing and scheduling algorithms. The experimental results show that the algorithm is effective when compared with existing algorithms. Our approach illustrates that there is a significant improvement in average execution time and reduction in waiting time of tasks on queue using workflowsim simulator in JAVA.

Development of Load Balancing Systems in a Parallel MRP System

2003 ◽  
Vol 123 (10) ◽  
pp. 1847-1857
Author(s):  
Takahiro Tsukishima ◽  
Masahiro Sato ◽  
Hisashi Onari
Keyword(s):  
Load Balancing
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