Load Balance 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 ...

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 ...

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 ...

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.

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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 ...

Efficient load balancing in Cloud Computing using Fuzzy Logic

Efficient load balancing in Cloud Computing using Fuzzy Logic Srinivas Sethi anupama sahu suvendu Kumar Jena at this monitors we intr Oduced the novel load Balancing algorithm using fuzzy ...

A distributed algorithm for deeply analyzing NoSQL database

The scalability of the system is the main reason for promoting the development of NoSQL movement, including distributed system coordination, failover, resource management and many other features. That makes NoSQL sound like a big basket that can be stuffed with anything. Although the NoSQL movement does not bring fundamental technological changes to distributed data processing, it still leads to extensive research and practice on protocols and algorithms. It is through these attempts to gradually summarize some effective database construction methods. In this article, I will focus on the distributed features of the NoSQL database ...

A distributed algorithm for deeply analyzing NoSQL database

The scalability of the system is the main reason for promoting the development of NoSQL movement, including distributed system coordination, failover, resource management and many other features. That makes NoSQL sound like a big basket that can be stuffed with anything. Although the NoSQL movement does not bring fundamental technological changes to distributed data processing, it still leads to extensive research and practice on protocols and algorithms. It is through these attempts to gradually summarize some effective database construction methods. In this article, I will focus on the NoSQL database distributed special ...

Cloud Data center resource scheduling algorithm based on vehicle interconnection

Cloud Data center resource scheduling algorithm based on vehicle network Huang, the large number of traffic data of Liao Weihong car network need a strong support platform for processing analysis, cloud data center just meet the needs of vehicle networking. However, the characteristics of the vehicle networking application and the physical host configuration of the cloud data center usually cause unbalanced load. To solve this problem, a CDM-CU virtual machine deployment algorithm based on vehicle networking is proposed in this paper. This algorithm does not simply pursue the optimal distance between the virtual machine and the physical server performance vectors, but also does not pursue the minimum load of the data center.

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