Load Balancing Algorithm

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Application analysis of dynamic Network Load Balancing cluster practice

Network Load Balancing allows you to propagate incoming requests to up to 32 servers that can use up to 32 servers to share external network request services. Network Load Balancing technology ensures that they can respond quickly even in heavy loads. Network Load Balancing must provide only one IP address (or domain name) externally.   If one or more servers in Network Load Balancing are unavailable, the service is not interrupted. Network Load Balancing is automatically detected when the server is unavailable, and can be quickly in the remaining ...

Microsoft Azure provides a sample load balancing Service Application

Microsoft http://www.aliyun.com/zixun/aggregation/13357.html ">azure provides load-balancing services for virtual machines (IaaS) and cloud Services (PaaS) hosted in them. Load balancing supports application scaling and provides application recovery and other benefits. Load Balancing services can be accessed through the service model of the Microsoft Azure portal or application ...

Four common methods to realize server load balancing

In order to improve the performance and workload of the server, enterprises usually use DNS server, network address translation technology to achieve multiple server load balancing, especially the current enterprise external Internet Web site, many are through several servers to complete the server access load balance. The current enterprise uses the so-called "load balancing server", in fact it is a control server of the application system, all users request first to this server, and then the server according to the actual processing server-like ...

Using MapReduce and load balancing in the cloud

Cloud computing is designed to provide on-demand resources or services over the Internet, usually depending on the size and reliability of the data center. MapReduce is a programming model designed to handle large amounts of data in parallel, dividing work into a collection of independent tasks.   It is a parallel programming, supported by a functional, on-demand cloud (such as Google's BigTable, Hadoop, and sector). In this article, you will use compliance randomized hydrodynam ...

Research and design of load balancing algorithm in cloud computing environment

Research and design of load balancing algorithm in cloud computing environment Beijing posts and Telecommunications Feng Xiuling This paper studies the cloud computing and cluster load Balancing mechanism and algorithm, this paper proposes a cluster load balancing problem in cloud computing environment, and based on two different cloud computing scenarios: private cloud and public cloud, two different algorithms are designed, The centralized and distributed load balancing algorithms are improved, the main contents of this paper include: first, analyze and compare the performance of the existing centralized algorithm, focus on the typical calculation ...

Implementation of Network Load Balancing distributed job scheduling system

1. In essence, Network Load Balancing is an implementation of distributed job scheduling system. As the controller of Network request allocation, the equalizer uses centralized or distributed policy to allocate network service requests according to the current processing capability of cluster nodes, and monitors the effective state of each node in the lifecycle of each service request. Generally speaking, the balancer has the following characteristics for the dispatch of the request: The Network Service request must be a manageable request allocation to the user is transparent best able to provide Http://www.aliyu ...

Application of a hybrid genetic algorithm in cloud computing load balancing

Research on application of hybrid genetic algorithm in cloud computing load Balancing Cheng, Liu Lijing, Stone Cloud, Zhu Kai genetic Algorithm (GA) is widely used to solve complex problems in science and engineering, but traditional GA has many restrictive factors in solving high dimensional function optimization problem, so it can't be applied directly in cloud computing. A multi agent Genetic algorithm (maga) is proposed, which is a hybrid of multi-agent and genetic algorithms. First, it demonstrates the superiority of Maga compared with traditional GA, and then uses Maga to build a load balancing model based on virtual resource management to solve the load in cloud computing.

Efficient virtual machine load balancing algorithm in cloud computing environment

Efficient VM LOAD balancing algorithm for A CLOUD COMPUTING Environnement Jasmin james,bhopal M.P Bhupendra Verma in this monitors fi rstly analysis of different Virtual Machine (VM) Load B ...

Research on dynamic load balancing algorithm in cloud storage System

Research on dynamic load balancing algorithm in cloud storage System Tanaki Chen Wiewei Chenweidon li a load balancing algorithm based on node dynamic forward shift (NDF) is proposed to solve the problem of storage load inequality in a distributed hash table (DHT) cloud storage System. Through the overload node dynamic forward, reduce the node storage partition, thereby reducing node storage load. At the same time, the overload node replicates the relevant data to the 3rd successor node to ensure the stable copy quantity of the data in the system. In the process of the implementation of the NDF algorithm, only the overload node and the 3rd successor node are simply coordinated, and multiple overload nodes can be concurrent ...

Research on load Balancing strategy of distributed system

Research on load Balancing strategy of Distributed system South University Li Deng Although load balancing has been studied for nearly 20 years, the load balancing strategy is a NP complete problem, and the real satisfying system is not many. In this paper, the distributed system and distributed object technology are discussed, and then the algorithm and model of load balancing are studied in detail, and the reasons of extra cost are studied, and the difficulties in the research of load balancing strategy are researched. The innovation of this paper is to put forward the information center scheduling strategy, which is widely studied in the current typical load ...

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