round robin load balancing algorithm

rotation analysis A method based on client scheduling access Scheduling method based on application-layer system load A scheduling method based on IP addressIn the IP-based load scheduling algorithm. IP load Balancing technology is the most efficient Four,

,ip6t_reject,nf_conntrack_ipv6,nf_defrag_ipv6 Characteristics of LVS Cluster 3.1 IP load balancing and load scheduling algorithm 1. IP Load Balancing TechnologyLoad balancing technolo

problem, the replication later Serverweightmap changes can not be reflected to the servermap, that is, this round to select the server process, the new server or offline server, load Balancing algorithm will not be known. Add no matter, if there is a server offline or down, you may be able to access the non-existent address. Therefore, the service caller needs t

services listening for service requests and allowing multiple application instances to run at the same time. The core of NLB is the Wlbs.sys filter driver that sits between the network adapter driver and the network layer. NLB distributes each IP packet to all cluster nodes and makes a unified decision about the packet's source address, destination address, Transport layer protocol, port, configuration parameters of the cluster, and the algorithm to

server can be a Web server, a mail server, an FTP server , a DNS server, one or more of the video servers, and each real server is connected through a high-speed LAN or across a WAN. In a real-world application, Director server can also be the role of real server concurrently. As can be seen from the entire LVS structure, director server is the core of the entire LVS, currently, the operating system for director server can only be Linux and FreeBSD, The linux2.6 kernel can support LVS without a

load balancing algorithm that can be used for "defaults", "Listen", and "backend". Used to pick a server in a load balancing scenario that applies only to conditions where persistent information is not available or when a connection needs to be re-dispatched to another serv

size documents, the NATD process in the load balancing device occupies most of the processing resources. Since all network traffic is converted through it, the load on the NATD process increases as the network traffic and the number of concurrent connections are quite large. When using different numbers of backend servers in the experiment, the actual network ba

documents, the NATD process in a load-balancing device occupies most of the processing resources. Since all network traffic is transformed by it, the load on the NATD process increases when the amount of network traffic and concurrent connections is quite large. When using a different number of back-end servers in the experiment, the actual network bandwidth flo

documents, the NATD process in a load-balancing device occupies most of the processing resources. Since all network traffic is transformed by it, the load on the NATD process increases when the amount of network traffic and concurrent connections is quite large. When using a different number of back-end servers in the experiment, the actual network bandwidth flo

Load Balancing cluster is currently the most used cluster type, through the primary node load scheduler (Director), using a specific shunt algorithm, the access requests from the client to a number of server nodes to work together to alleviate the overall system load pressur

There are several ways to load balance:one, based on the client way:Each client program has a certain knowledge of the server cluster, which in turn sends requests to different servers in a load-balanced manner. This approach is primitive, and now some older systems are still using this approach, and the client simply uses polling to achieve load

certain load balancing policy needs to be applied. The server load Balancer device realizes the dynamic load balancing of each server group and provides redundant backup for each other. and requires a certain degree of scalability of the new system, such as data traffic con

IntroducedLoad balancing is a common technique for optimizing resource utilization across multiple application instances, maximizing throughput, reducing latency, and ensuring fault tolerance.Nginx supports the following three types of algorithms:Round-robin: Request loop release to each machineLeast connected: The next request will be sent to the server with the least number of active connectionsSession Pe

can solve the performance difference between servers, it uses the corresponding weights to represent the server's processing performance, the server's default weight is 1. Assuming server A has a weight of 1,b of 2, it means that Server B's processing performance is twice times the value of a. Weighted round call scheduling algorithm is based on the weight of the high and low and round-robin allocation req

capacity, such as CPU processing capacity, memory capacity, disk and so on, to achieve the improvement of server processing capacity, can not meet the large-scale Distributed System (website), large traffic, high concurrency, massive data problems. Therefore, a scale-out approach is required to accommodate the processing power of large Web services by adding machines. For example: A machine can not be satisfied, then add two or more machines, the joint burden of access pressure. This is the typ

-speed cache technology of the proxy server to provide beneficial performance. However, it also has some questions. First, you must develop a reverse proxy server for each service. This is not an easy task. Although the reverse proxy server itself can achieve high efficiency, for each proxy, the proxy server must maintain two connections, one external connection and one internal connection, therefore, the load on the proxy server is very large for ext

unaffected. Weight (Weight) specifies the Weight of the round-robin. the larger the Weight value, the higher the access probability allocated to it. it is mainly used when the server performance is uneven. 2. ip_hash: each request is allocated according to the Hash value of the Accessed IP address. users from the same IP address in this line will be fixed to a backend server, fixed servers can effectively solve session sharing issues on webpages. 3

file, in the Statistics directory of the HTTP module, add a stream module (and other peers such as HTTP): Stream { server { listen 1034; Proxy_pass app; } upstream App { server 192.168.0.3:1034; Server 192.168.0.4:1034; Server 192.168.0.6:1034; } } How TCP load Balancing is performed When Nginx receives a new client link from the listening port, it executes the routing scheduling

, Twitter and Tuenti, and the Amazon Web Services system all use Haproxy. Haproxy is a popular cluster scheduling tool at present, similar cluster scheduling tool has many, such as LVS and Nginx, compared to the best performance of LVS, but the construction of relatively complex, Nginx upstream module support cluster function, but the cluster node health Check function is not strong, Performance is not haproxy good. Cons: Software that only supports TCP and HTTP Haproxy Officia

I. lb-Server Load balancer A distributor is needed in a server Load balancer cluster. It is called Director, which is located on the middle layer of multiple servers, select a server group from the following server group based on internal locking rules or scheduling methods to respond to requests. The distribution method is based on an algorithm. Ii. Ha-High Avai