A Dynamic Data Replication in Grid System

AbstractA data grid is a structural design or cluster of services that provides persons or assortments of users’ ability to access modify and transfer very great amount of geographically distributed data. As a result of this needed massive storage resources for store massive data files. For take away that drawback we have a tendency to use dynamic data replication is applied to scale back data time interval and to utilize network and storage resources expeditiously. Dynamic data replication through making several replicas in numerous websites. Here, through up the modified BHR (MBHR) methodology, we have a tendency to project a dynamic algorithmic program for data replication in data grid system. This algorithmic program uses variety of parameter for locating replicating appropriate web site wherever the file is also needed in future with high likelihood. The algorithmic program predicts future wants of replicated appropriate grid web site square measure supported file access history

Optimizing process of Healthcare Assistance at Road Side using Particle Swarm optimization and Person Accident Behaviour

Abstract In the worldwide road accidents are very common and happened throughout the day. It is not restricted to time, density of population, geographical location, tropical geography, etc. Due to rapid increase in population and many other factors like driving and safety rules, driving pattern, etc., the worldwide rate of roadside accidents are also increasing. The African countries is having highest road accident inhabitants along with highest number of fatalities, whereas the Asian countries are the second rank in the world incurred rate of accidents with more fatalities during the road accidents. Hence, In order to handle these road accidents the major concern is to provide quick and fast emergency and health-care services like deployment of quick response team(QrT), first-aid, immediate hospitalization, and various assistance services that helps in reducing the fatalities during the road accidents. Now there is a need to develop effective and less parameterized approach which will helps in reducing the road accidents and provide quick response assistance to the needy. In order to develop the effective and comprehensive solution to the above mentioned problem, optimization is the key ingredient, which results in the evolvement of one of the most popular and effective algorithm called particle swarm optimization. In this paper we are going to evaluate, analyse and simulate particle swarm optimization (PSO) algorithm in order to design and develop novel solution to the above mentioned problem based on accident pattern and the behaviour of a person who met with the road accident.</jats:p