ANALYSIS OF ROUTING PROTOCOLS IN MANETS
Abstract
The study of routing protocols in MANETs is one that requires a great deal of research due to the challenges it poses as a consequence of continuous mobility and lack of infrastructure. Several factors such as throughput, packet delivery ratio, end to end delay. Basically, the routing protocols of MANETs can be categorized as proactive and reactive. In this paper, our main focus has been to select a category of protocol out of two. Implemented and analysed the best protocols of these categories and compared the results, using NS2. The protocols that we have selected are OLSR and AODV from proactive and reactive categories respectively, based on their relative advantages and disadvantages in comparison to the other protocols of their category.
HADOOP FRAMEWORK FOR BIG DATA
Abstract
Data has to be stored for further requirement’s in the future. We store the data and need to process, analyze it for business decision making. But Data is growing. Thesize of the databases isgrowing rapidly in day-to-day basis which is produced by differentsources. All the applications need to process terabytes or even more of day. This lead to a problem called as Bigdata. The problem cannot be handled by traditional database system and software tools. We need new technologies and tools.so one of the technology is Hadoop technology.Hadoop is an open source framework maintained by Apache. It enables distributed, data intensive and parallel application by dividing larger jobs into smaller jobs such that each job is processed parallel.Hadoop consists two corecomponents called as Hadoop common. They are Hadoop distributed file system (HDFS) for storing the data and aMap Reduce as a programming model for processing the data. This paperprovides an overview, architecture and components of Hadoop.
