Abstracto

An Elastic and Scalable Data Streaming System for Distributed Cloud

S.B. Daniel Barnabas M.E

In cloud computing environment, dynamic resource allocation and reallocation are keys for accommodating unpredictable demands. Online processing of continuous data flow produce very high load. Current system does not scale with input load due to single-node bottlenecks. This happens because of static configuration leading to under or over utilization. This article explains about how bottlenecks could be avoided in a distributed cloud, where application developers can selectively lease distributed resources. This could be handled by enabling effective adjustment of resources to the incoming load which is by facilitating cloud through dynamic load balancing and elastifying.