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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 ...
MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel and distributed algorithm on a cluster. [1] [2] [3]A MapReduce program is composed of a map procedure, which performs filtering and sorting (such as sorting students by first name into queues, one queue for each name), and a reduce method, which performs a summary ...
A workload is considered "intelligent" when it a) understands its security protocols and processing requirements so it can self-determine whether it can deploy in the public cloud, the private cloud or only on physical machines; b) recognizes when it is at capacity and can find alternative computing capacity as required to optimize performance; c) carries identity and access controls as well ...
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
Multi-path routing can be used in conjunction with most routing protocols because it is a per-hop local decision made independently at each router. It can substantially increase bandwidth by load-balancing traffic over multiple paths; however, there may be significant problems in deploying it in practice. [1]
Schedule each job in this sequence into a machine in which the current load (= total processing-time of scheduled jobs) is smallest. Step 2 of the algorithm is essentially the list-scheduling (LS) algorithm. The difference is that LS loops over the jobs in an arbitrary order, while LPT pre-orders them by descending processing time.
As another example, the software which Wikipedia and other Wikimedia Foundation projects use for their underlying infrastructure is a customized LAMP stack with additions such as Linux Virtual Server (LVS) for load balancing and Ceph and Swift for distributed object storages. [citation needed]