Data Placement Issues in Grid Environments Seminar Report

Introduction to Data Placement Issues in Grid Environments Seminar Topic:

Grid means using computer resources with the demand which acquire knowledge about how and where the resources are present. It focuses on three points:

irst: check for resources that are not according to the matter,

second: use general interface and protocols only and third: deliver the best quality of the service.Grid can directly access to the computers. 

There are many types of grid: computation grid: it is based on the computer power and machines for high performance. Scavenging grid: they are used by most of the desktop computers and users are given control over the resources. Data grid: they are used for access to multiple organizations like two universities each have their unique data.

Data placement: it deals with storage of the data, file transfer, system consistency etc. in data grid. Data are stored at the computer nodes, broker nodes that are dynamic in nature. Data can be available at the dynamic time and it may disappear without any notice.

A used want to upload one or more files to the SEs then there must be space in the SE. therefore it is necessary to allocate the storage for the data at starting.  If the SE is unavailable it means storage has been crashed and useless. In order to prevent such data loss we can store the copies of the data in the multiple SEs. This is also called data replication. Data stored in the grid might get corrupt after the period of time and that can lead to the crash of the file or hard disk failure. This can be avoided using hash function. This will minimize such collision. 

Download  Data Placement Issues in Grid Environments Seminar Report.

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