ENERGY EFFICIENT ROBUST BACTERIAL FORAGING ROUTING PROTOCOL (EE-RBFRP) FOR BIG DATA NETWORK

Abstract

Big data is a huge amount of heterogeneous information which keeps getting rapidly increased minute to minute. Volume is one of the most important features of big data and it is handled only in cloud computing which provides significant facility of on-demand availability. Routing plays vital role in accessing big data in cloud computing. If traditional protocols applied for routing the big data means it will never give its best performance in network and it will lead to increased reduced delivery of packets and increased delay. To overcome issue, this paper proposes an optimization-based routing protocol namely Energy Efficient Robust Bacterial Foraging Routing Protocol (EE-RBFRP) which is inspired from foraging behavior of bacteria. EE-RBFRP initially investigates the whole search space and performs local-search and global-search separately to exploit the promising regions of the network to find the best route to access the big data in cloud computing. EE-RBFRP is evaluated against existing protocol using NS2 with benchmark performance metrics. Results make a better indication that EE-RBFRP has better performance than existing protocols in terms of reducing the delay and energy consumption.