clusture computing
DESCRIPTION
This presentation talks about the right level of cluster computing and how it helps in computing world and how it is been used in now daysTRANSCRIPT
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CLUSTER COMPUTING
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NEED OF CLUSTER COMPUTING• Parallel computing has seen many changes
since the days of the highly expensive and proprietary supercomputers
• Over the past decade, cluster technologies have been developed that allow multiple low cost computers to work in a coordinated fashion to process applications
• Application performance continues to be of significant concern for various entities including governments, military, education, scientific and now enterprise organizations
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CLUSTER COMPUTING
• Cluster computing is best characterized as the integration of a number of off-the-shelf commodity computers and resources integrated through hardware, networks, and software to behave as a single computer.
• Different variables will determine the network hardware for the cluster .
• The choice of network technology depends on a number of factors, including performance, and compatibility .
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CLUSTER BENEFITS• The main benefits of clusters are scalability,
availability, and performance.• For scalability, a cluster uses the combined
processing power of compute nodes to run cluster-enabled applications.
• Availability within the cluster is assured as nodes within the cluster provide backup to each other in the event of a failure.
• An additional benefit comes with the existence of a single system image and the ease of manageability of the cluster.
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TYPES OF CLUSTERS• HIGH AVAILABILITY CLUSTERS. These clusters are designed to provide
uninterrupted availability of data or services to the end-user community.
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•LOAD BALANCING CLUSTER This type of cluster distributes incoming
requests for resources or content among multiple nodes running the same programs or having the same content.
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•PARALLEL/DISTRIBUTED PROCESSING CLUSTERS
• Parallel processing was performed by multiple processors in a specially designed parallel computer.
• With the advent of high speed, low-latency switching technology, computers can be interconnected to form a parallel-processing cluster.
• A parallel cluster is a system that uses a number of nodes to simultaneously solve a specific computational or data-mining task.
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CLUSTER APPLICATIONS
• COMPUTE INTENSIVE APPLICATIONS
Compute intensive is a term that applies to any computer application that demands a lot of computation cycle .
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•DATA OR I/O INTENSIVE APPLICATIONS
Data intensive is a term that applies to any application that has high demands of attached storage facilities.
Data-intensive applications can be found in the area of data mining, image processing, and genome and protein science applications.
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•TRANSACTION INTENSIVE APPLICATIONS
Transaction intensive is a term that applies to any application that has a high-level of interactive transactions between an application resource and the cluster resources. Many financial, banking, human resource, and web-based applications fall into this category.
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•CLUSTER –AWARE & CLUSTER-UNAWARE
Cluster-aware applications are designed specifically for use in clustered environment. They know about the existence of other nodes and are able to communicate with them.
Cluster-unaware applications do not know if they are running in a cluster or on a single node.
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PERFORMANCE IMPACT AND CAREABOUTS
• MESSAGE LATENCY Message latency is defined as the
time it takes to send a zero-length message from one processor to another.
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•CPU UTILISATION The more CPU cycles committed to
application processing the less time it takes to run the application.
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•CONGESTION AVOIDANCE
When potential congestion is detected on a TCP link, a device responds by throttling back the rate at which it sends segments.
Retransmission timeouts can reach delays of up to 200 milliseconds, thereby significantly impacting throughput.
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COMPARISION BETWEEN CLUSTER COMPUTING AND
GRID COMPUTING
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THANK YOU ..!!