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Load balancing can optimize response time and avoid unevenly overloading some compute nodes while other compute nodes are left idle. Load balancing is the subject of research in the field of parallel computers. Two main approaches exist: static algorithms, which do not take into account the state of the different machines, and dynamic ...
Download as PDF; Printable version; ... RozoFS is a free software distributed file system. ... of chunks (managing capacity load balancing with respect to high ...
In fine-grained parallelism, a program is broken down to a large number of small tasks. These tasks are assigned individually to many processors. The amount of work associated with a parallel task is low and the work is evenly distributed among the processors. Hence, fine-grained parallelism facilitates load balancing. [3]
IPVS: an advanced IP load balancing software implemented inside the Linux kernel. The IP Virtual Server code is merged into versions 2.4.x and newer of the Linux kernel mainline. [1] KTCPVS: implements application-level load balancing inside the Linux kernel, as of February 2011 still under development. [2]
Load balancing or load distribution may refer to: Load balancing (computing) , balancing a workload among multiple computer devices Load balancing (electrical power) , the storing of excess electrical power by power stations during low demand periods, for release as demand rises
Load balancing is defined as the methodical and efficient distribution of network or application traffic across multiple servers in a server farm. Each load balancer sits between client devices and backend servers, receiving and then distributing incoming requests to any available server capable of fulfilling them.
A common misconception is that load testing software provides record and playback capabilities like regression testing tools. Load testing tools analyze the entire OSI protocol stack whereas most regression testing tools focus on GUI performance. For example, a regression testing tool will record and playback a mouse click on a button on a web ...
With the optimization of load-balancing, the time of layer-traversal can be reduced. Improving the locality of memory references. In parallel system with distributed memory, remote memory reference are getting data from other processing entities, which has usually extra communication cost compared to local memory reference.