What is Load Balancing

1.

A fundamental mechanism for implementing traffic engineering. It concerns the number of overutilized links, which will have low QoS, and underutilized links, which represent a waste to be reduced. It can be achieved by a multicommodity network flow formulation which leads to the traffic being shared over multiple routes between the ingress node and the egress nodes in order to avoid link saturation and hence the possibility of congestion. Learn more in: Network Optimization Using Evolutionary Algorithms in Multicast Transmission

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Load balancing plays a vital role for prolonging the network lifetime. Uniform distribution of load among the CHs is important as to avoid hotspot problem. Uniform load distribution is assured in unequal clustering technique where, CHs consume approximately same amount of energy. Learn more in: A Survey on Routing Protocols of Wireless Sensor Networks: A Reliable Data Transfer Using Multiple Sink for Disaster Management

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Is a computer methodology to distribute workload across multiple computers to achieve optimal resource utilization, maximize throughput, minimize response time, and avoid overload. Load balancing divides the amount of work that a computer has to do between two or more computers so that more work gets done in the same amount of time and, in general, all users get served faster. Learn more in: Schedulers Based on Ant Colony Optimization for Parameter Sweep Experiments in Distributed Environments

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Distribution of workloads across multiple computing resources. Learn more in: A Survey of Tasks Scheduling Algorithms in Distributed Computing Systems

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Sharing a workload among several computing devices Learn more in: Peer-to-Peer Service Discovery for Grid Computing

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Load balancing is an approach which tries to balance the total system load by transparently transferring the workload from highly loaded nodes to lightly loaded nodes in an attempt to ensure good overall performance of the system. Basic goal of load balancing is to maximize system throughput. Load balancing helps to achieve a high user satisfaction and resource utilization ratio by ensuring an efficient and fair allocation of every computing resource. Proper load balancing helps in minimizing resource consumption, enabling scalability, avoid over provisioning etc. Load balancing algorithms are basically classified into two categories such as static and dynamic algorithms where dynamic algorithms are again subdivided into centralized and distributed algorithm. Learn more in: An Evolutionary Approach for Load Balancing in Cloud Computing

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A technique to spread work between two or more computers, network links, CPUs, hard drives, or other resources in order to get optimal resource utilization, maximize throughput, and minimize response time. Learn more in: Efficient Service Task Assignment in Grid Computing Environments

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Load balancing is the technique used to spread workload or resource consumption between many resource providers in order to improve resource utilization and/or performance. Learn more in: Mobility-Aware Grid Computing

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Performance improvement technique based on the distribution of processing and/or communications tasks among a number of processing resources in a computer network so that no single resource becomes overwhelmed. Heavily loaded Web infrastructures typically employ two or more servers in a load balancing scheme so that no performance degradation occurs even though it may be difficult to predict the number of request that can be issued in any moment. Learn more in: Performance Analysis and Models of Web Traffic

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Number of requests served by a node. The number of requests received by a node cannot be predicted at any point of time. Load balancing is very crucial in Vehicular Ad hoc Networks. Learn more in: An Adaptive Fuzzy-Based Service-Oriented Approach with QoS Support for Vehicular Ad Hoc Networks

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A computer networking method for distributing workloads across multiple computing resources. Load balancing aims to optimize resource use, maximize throughput, minimize response time, and avoid overload of any one of the resources. Learn more in: Cloud Computing to Improve Agri-Supply Chains in Developing Countries