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Deployment of cluster system and load balancing technique

Deployment of cluster system and load balancing technique . Junehwa Song. Contents (1). Part I : Cluster system Issues on Web Server Why need cluster Method of performance increase Overview of cluster Type of cluster Example of cluster. Part II : Load balancing technique Mirror

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Deployment of cluster system and load balancing technique

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  1. Deployment of cluster system and load balancing technique Junehwa Song Network Computing Lab EECS KAIST

  2. Contents (1) • Part I : Cluster system • Issues on Web Server • Why need cluster • Method of performance increase • Overview of cluster • Type of cluster • Example of cluster

  3. Part II : Load balancing technique • Mirror • Client based approach • DNS based approach • Dispatcher based approach • Single packet rewriting • Double packet rewriting • Network dispatcher • LVS connection scheduling • Server based approach • Http redirection • Packet redirection • Reference

  4. Issues on Web Server • Connections explosion • Due to rapid growth of WWW application on the internet, a web server may encounter the situation that a huge number of connection requests in a very short time • Research trend on web server • Cluster system • Load Balancing • Distributed Scalable Web Server

  5. Why need cluster • Meet the demand for scalability and availability • It is not always possible for a Web site to accurately predict peak load and prepare enough computing resource • Because client request rates tend to be bursty and fluctuate dramatically

  6. Traffic increases 100% per year • But server’s performance increase doesn’t be comparable to traffic increase Network Traffic Server Performance

  7. Method of performance increase • Vertical performance increase • Upgrade CPU, Memory, HDD, etc • Horizontal performance increase • Using cluster -> Node addition • Cost problem • High performance server is very expensive • Performance/Cost < 1 • Availability problem by fault

  8. Require • Low cost, high availability, High performance, and extensibility • So it need Cluster

  9. Overview of Cluster • Single point of presence • Many small machines behave as one large machine • Share a virtual IP address • Availability • The service as a whole must be available despite of transient partial hardware and software failure

  10. Fail over • Cluster automatically relocates an application from failed node to a healthy one • When a fail over occur, client may see a brief interruption of service but they are not aware that application has been re hosted on a different physical cluster node • Scalability • When the load offered to the service increases, system can be scaled to meet the requirement

  11. availability grade by down time

  12. Type of cluster • Cluster for Scaling and availability • Loosely coupled • Horizontally scaling cluster • Systems are not aware of other systems • Cluster for Performance • For high performance computing(HPC) focus on performance and scalability • Tightly coupled - no availability • Scientific cluster - Biology, Physics, Engineering

  13. Load balancer • Front end to the service as seen by the outside world • Direct network connections from clients who know a single IP address • Server pool • Cluster of servers that implement the actual services • Backend storage (optional) • Provide shared storage for the servers

  14. Example of Cluster • LVS(Linux virtual server) • Since 1998, open source • Connection Scheduling – Part II • Cluster management • Piranha by Red Hat • Lvs-gui + Heartbeat + ldirectord • Mon + heartbeat • Deployment • Linux.com, sourceforge.net, www.zope.org, wwwcache.ja.net

  15. LVS - Architecture Client Linux Director Internet Real server 1 Fault-tolerant File system Heartbeat Real server 2 Linux Director Real server N File Server Load Balancer Server Cluster

  16. Load Balancing Technique • Mirror • Client based approach • DNS-based approach • Dispatcher based approach • Server based approach

  17. Mirror • Replicate information across a mirrored server architecture • User manually select alternative URL • Not user transparent • Don’t allow the Web-server system to control request distribution

  18. Client Based Approach • Web Client • Web client selects a node of the cluster and submits the request to the selected node • Netscape home(http://www.netscape.com) use this technique • When user access this site, Navigator selects a random number i between 1 and the number of servers and directs the request to the node wwwi.netscape.com • Limited practical applicability and is not scalable

  19. Smart Client • Migrates server functionality to the client through a Java applet • Increase network traffic and network delay • Client side Proxies • Web Cluster standpoint, proxy servers are similar to clients

  20. DNS Based Approach • First prototype : NCSA scalable web server • DNS server maps the domain name to multiple IP address • Returning more than one IP address for the hostname or returning a different IP address for each DNS request it receives (Round robin) • User transparent • Simple and easy to implement

  21. Drawbacks • Unable to know the situation of the whole system • Not really fair because DNS uses a simple round robin • DNS may encounter TTL problem in IP-address cache • Between the client and the web server DNS, many intermediate name servers can cache the logical name to IP address mapping to reduce network traffic and every web browser typically caches some address resolution

  22. Because of address caching, each address can cause a burst of future requests to the selected server and quickly obsolete the current load information • Many DNS based solutions to this problem • System-Stateless algorithms • Server-State-based algorithms • Client-State-based algorithms • Adaptive TTL Algorithms

  23. Dispatcher based approach

  24. Centralize request scheduling and completely control client-request routing • Request routing among server is transparent-unlike DNS-based • DNS deals address at the URL level, the dispatcher has a single, virtual IP address(IP-SVA) • Dispatcher uniquely identifies each server in the system through a private address • Dispatcher typically use simple algorithms to select the Web server

  25. Single packet rewriting • Double packet rewriting • Network Dispatcher

  26. Packet Single Rewriting

  27. TCP router acts as an IP address dispatcher • Router tracks the source IP address for every established TCP connection to route packets regarding the same connection to the same web server node • High System availability • When one of server fails, its address can be removed from the router’s table • Can be combined with a DNS based solution

  28. Packet Double Rewriting

  29. Two solution using this approach • Magicrouter • Cisco System’s Local Director • Because outgoing packets typically outnumber incoming request packets, dispatcher becomes bottleneck

  30. Network Dispatcher • Dispatcher forward packets to the selected server using its physical address without IP modification

  31. LVS connection scheduling • Round-Robin Scheduling • Treat all real servers as equals regardless of number of connections or response time • Weighted Round-Robin Scheduling • Treat the real servers of different processing capacities. • Each server can be assigned a weight

  32. Least connection scheduling • Direct network connection to the server with the least number of active connection • Weighted Least connection scheduling • Superset of the least connection scheduling • Performance weight can be assigned to each server • The server with a higher weight value will receive a larger percentage of active connection

  33. Server based approach • Use two level dispatching mechanism • Integrating the DNS based approach with redirection techniques executed by Web server • Solves most DNS scheduling problem • Two Solution • HTTP redirection • Packet redirection

  34. HTTP Redirection

  35. Above figure server1 redirect the request to server2. Not client transparent ! • Overhead of infra cluster communication • Every server must periodically transmit status information to cluster DNS • Increases response time in client side, because of packet redirection

  36. Packet Redirection • Use a round robin DNS mechanism to schedule the request among the Web Server • Server reached by a request reroutes the connection to another server through a packet rewriting • Transparent to the client! • TCP handoff • Packet rewriting overhead

  37. Reference [1] Cardellini, V.; Colajanni, M.; Yu, P.S.“Dynamic load balancing on Web-server systems”IEEE Internet ComputingVolume: 3 3 , May-June 1999 , Page(s): 28 -39 [2] Wow Linux. “Linux 기반의 고가용 로드밸런싱 웹 서비스 구축방안 [3] Wensong Zhang “Linux Virtual Server for Scalable Network Service” www.linuxVirtualServer.org [4] Sun Microsystems “Sun Cluster 3 architecture”www.sun.com [5] Alistair A. Croll “Optimizing web server access for E-business” Intel Devcon [6] Hong, H.C.; Chen, Y.C.“Design and practice of a dispatch server architecture”Distributed Computing Systems, 1999. Proceedings. 7th IEEE Workshop on Future Trends of , 1999 , Page(s): 246 -251 [7] Mourad, A.; Huiqun Liu“Scalable Web server architectures”Computers and Communications, 1997. Proceedings., Second IEEE Symposium on , 1997 , Page(s): 12 -16

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