ADAPTIVE FRAMWORK FOR DATA DISTRIBUTION IN CLOUD- ELASTIC SERVER ARCHITECTURE

Computer Engineering

The increasing quantity of information to be processed and store in a data center and cloud also, the Internet applications shows high workload variability have increased the importance of efficient data management. Data placement and data distribution has most important topics in data management and it’s directly effect on various characteristics of server. Also, the limitation of current I/O infrastructure facing dramatic growth of data generation needs, the ability to build a novel model for robust decision making. In this work, we present adaptive framework for data distribution in cloud-elastic server architecture, a framework for adaptive data distribution over cloud. It is a framework for automatically predicting workload on various server also performing data distribution. This framework also responsible for data slicing both vertically and horizontally and also responsible for task scheduling.

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