http://10.9.150.37:8080/dspace//handle/atmiyauni/280 Mon, 27 Apr 2026 18:43:42 GMT 2026-04-27T18:43:42Z http://10.9.150.37:8080/dspace//handle/atmiyauni/2256 Title: Task placement and Virtual Machine Migration Technique in Cloud Computing Environment Authors: Khachariya, Haresh Abstract: The technology of cloud computing is growing very quickly, thus it's required to manage themethod of resource allocation. Very serious efforts have to put during this research to reduceenergy consumption of information center together with decrease in completion and responsetime of the task. We have proposed two phase approaches in this paper, which include taskscheduling on VM and dynamically managing the VM on host by migration. In phase one, itdistributes workload of multiple network links avoiding underutilization and over utilization ofthe resources. This will be accomplished by allotting the incoming task to a virtual machine(VM) which satisfiesclause; number of tasks currently administering by the VM is lesser amountthan number of tasks currently handled by other VMs. In second phase, it migrates virtualmachine from one host to another host dynamically. If the virtual machine is overloaded duringthis process, the performance is going to be Wed, 01 Jan 2020 00:00:00 GMT http://10.9.150.37:8080/dspace//handle/atmiyauni/2256 2020-01-01T00:00:00Z http://10.9.150.37:8080/dspace//handle/atmiyauni/2237 Title: An Analytical Survey of Usage of Big Data and Hadoop for Prediction of Diseases Authors: Sadaria, Priti Abstract: Now a day no field remain untouched with Information Technology. Health care industries are using Information Technology for different purpose. Health data growing quickly because of fast acceptance of Information Technology. Extraction of useful information by analyzing this rapidly growing data for building a useful model which can be applicable in real life is really a challenging task.Knowledge discovery and decision making from such voluminous data is a new trend that is Big Data Computing. Machine learning techniques can be used to make predictive analytics.Cloud computing provides computing services over the internet which includes servers, storage, databases, software and analytics for big data processing. Now a day, analysis of diabetic Big Data is facing lots of problems because of unpredictable growth of data which leads to a big challenge in processing the large and complex datasets manually. Wed, 01 Jan 2020 00:00:00 GMT http://10.9.150.37:8080/dspace//handle/atmiyauni/2237 2020-01-01T00:00:00Z http://10.9.150.37:8080/dspace//handle/atmiyauni/2235 Title: A Review Paper On Seo For Raniking And Effectivneness Techniques In Context Of Google Search Engine. Authors: Patel, Amit Abstract: In recent era Web Search Engine is very important in day to day life.But now it is quite difficult to get appropriate result in terms of your search query.Due to number of website is quite large so it is quite tough task to give proper result.The aim of this paper is to consider various techniques for SEO Ranking in context to Google Search Engine. It covers on page optimization and off page optimization which is very important factor about Search engine optimization. Wed, 01 Jan 2020 00:00:00 GMT http://10.9.150.37:8080/dspace//handle/atmiyauni/2235 2020-01-01T00:00:00Z http://10.9.150.37:8080/dspace//handle/atmiyauni/2229 Title: A Detail Investigation on the Medical Databases by Implementing Various Methods Authors: Kavathiya, Hiren Abstract: Outlier detection is presented in detail in chapter 1.The finding of outliers for high dimensional datasets is a challenging data mining task. Different perspectives can be used to define the notion of outliers. Hawkins et al., 2002, defines an outlier as “an observation which deviates so much from other observations as to create suspicions that it was generated by a different mechanism”. While 'Barnett and Lewis, 1994' define it as “An outlier is an observation (or subset of observations) which appears to be inconsistent with the remainder of that dataset”. Sun, 01 Dec 2019 00:00:00 GMT http://10.9.150.37:8080/dspace//handle/atmiyauni/2229 2019-12-01T00:00:00Z