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The technical support department of a software company might need the com pany s customer database available to be fully productive, but can conceivably function without it for a time. For a company that sells its products exclusively through an e-commerce Web site, however, Web server downtime means no incoming orders, and therefore no income. For a hospital or police department, non-functioning servers can literally be a matter of life and death. Each of these organizations might be running similar applications and servicing a similar num ber of clients, but their availability requirements are quite different, and so should their clustering solutions be. Availability is sometimes quantified in the form of a percentage reflecting the amount of time that an application is up and running. For example, 99% availability means that an application can be unavailable for up to 87.6 hours during a year. An application that is 99.9% available can be down for no more than 8.76 hours a year. Achieving a specific level of availability often involves more than just implementing a clustering solution. You might also have to install fault tolerant hardware, create an
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extensive hardware and software evaluation and testing plan, and establish operational policies for the entire IT department. As availability requirements get higher, the amount of time, money, and effort needed to achieve them grows exponentially. You might find that achieving 95% to 99% reliability is relatively easy, but pushing reliability to 99.9% becomes very expensive indeed.
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Both server clusters and Network Load Balancing are scalable clustering solutions, meaning that you can improve the performance of the cluster as the needs of your organization grow. There are two basic methods of increasing cluster performance, which are as follows:
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Scaling up Improving individual server performance by modifying the com puter s hardware configuration. Adding random access memory (RAM) or level 2 (L2) cache memory, upgrading to faster processors, and installing additional pro cessors are all ways to scale up a computer. Improving server performance in this way is independent of the clustering solution you use. However, you do have to consider the individual performance capabilities of each server in the cluster. For example, scaling up only the active nodes in a server cluster might establish a level of performance that the passive nodes cannot meet when they are called on to replace the active nodes. It might be necessary to scale up all the servers in the cluster to the same degree, to provide optimum performance levels under all circumstances. Scaling out Adding servers to an existing cluster. When you distribute the pro cessing load for an application among multiple servers, adding more servers reduces the burden on each individual computer. Both server clusters and NLB clusters can be scaled out, but it is easier to add servers to an NLB cluster. In Network Load Balancing, each server has its own independent data store con taining the applications and the data they supply to clients. Scaling out the clus ter is simply a matter of connecting a new server to the network and cloning the applications and data. Once you have added the new server to the cluster, NLB assigns it an equal share of the processing load. Scaling out a server cluster is more complicated because the servers in the clus ter must all have access to a common data store. Depending on the hardware configuration you use, scaling out might be extremely expensive or even impos sible. If you anticipate the need for scaling out your server cluster sometime in the future, be sure to consider this when designing its hardware configuration.
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Clustering Servers
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Be sure to remember that the scalability of your cluster is also limited by the capa bilities of the operating system you are using. When scaling out a cluster, the maximum numbers of nodes supported by the Windows operating systems are as follows:
Operating System Windows Server 2003, Standard Edition Windows Server 2003, Enterprise Edition Windows Server 2003, Datacenter Edition Windows 2000 Advanced Server Windows 2000 Datacenter Server Network Load Balancing 32 32 32 32 32 Server Clusters Not Supported 8 8 2 4
When scaling up a cluster, the operating system limitations are as follows:
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