GUIDELINES IN THE PREPARATION OF MANUSCRIPT FOR THESIS PAPER 1. Order The order of the manuscript is as follows: Preliminary Pages includes the following: Title Page Approval Page Acknowledgment (one page) Table of Contents (heading should be centered; no dot/line/dash before page number) List of Tables (Arabic numerals) (if you have) List of Appendices (Arabic numerals) (if you have) Abstract (one page) CHAPTER I INTRODUCTION (bold‚ center of the page) (Should
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Introduction: The cloud computing is the next generation of the computing‚ its advantages‚ advancements and research are a plenty. In recent years‚ the term “cloud computing” has been critical in the world of IT. Cloud computing‚ or the use of internet-based technologies to conduct business‚ is recognized as an important area for IT innovation and investment (Armbrust et al.‚ 2010; Goscinski and Brock‚ 2010; Tuncay‚ 2010). Cloud computing has spread out through the main areas related to information
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Green Computing & Green IT What is Green Computing or Green IT? Bill Gates predicted many years ago of a PC in every home. He was widely considered to be simply promoting an unlikely scenario with the aim of boosting Microsoft’s profits. However‚ how right he truly was. Not just at home but also virtually every commercial organisation of any size is heavily reliant upon IT. At home there is little we can do regarding our use of IT‚ other than not leaving our PC’s switched on uneccessarily
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Cloud Business Intelligence 1 Cloud Business Intelligence A Research Project Submitted as part of Final exam for BMGT531 BMGT 531‚ Business Intelligence Spring 2012‚ Section 1260 Professor Paul Jaikaran University of Northern Virginia Cloud Business Intelligence 2 Business Intelligence: The term Business Intelligence was coined by Hans Peter Luhn of IBM wherein he describes the Business Intelligences as ability to find the interrelationships among the available data and
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Factors affecting individual adoption of Web based database Team Members Savitha Bangalore Prabhu Rangaraju Chandni Saxena Introduction: The growth of World Wide Web combined with increase in use of technology has paved the online use of any technology. Web based data base are online data base which allows the user to share the database on the web‚ whereas others can access it from anywhere in the world with an internet connection. Over the
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DNA COMPUTING ……. The future of Computing By Priya Parmar Paromita Bhattacharyya email: priya.parmar2389@gmail.com email:tan389@gmail.com contact no: 9820154325 contact no:9967585813
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In the world of virtualization there are two kingpins; VMware and Microsoft. As I researched these two vendors it has become apparent that comparing these two giants would be like comparing apples and oranges; like apples and oranges are fruit‚ and VMware and Microsoft make virtualization software‚ they are different altogether. This happens to be the scenario that I have seen‚ not only between the two companies‚ but in blog posts and forums. VMware’s vSphere is a suite. In other words it’s like
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Grid Designing Abstract: In an increasing number of scientific disciplines‚ large data collections are emerging as important community resources. Grid computing has emerged as an important new field‚ distinguished from conventional distributed computing by its focus on large-scale resource sharing‚ innovative applications‚ and‚ in some cases‚ high performance orientation. The foundation of a grid solution design is typically built upon an existing infrastructure investment. However‚ a grid
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• Latest Developments • Comparison of DNA computers with conventional Computer • Features of DNA computer • DNA BASICS • Operations on DNA sequences DNA Computing (Deoxyribonucleic Acid Computing): DNA computing is a nascent technology that seeks to capitalize on the enormous informational capacity of DNA‚ biological molecules that can store huge amounts of information and are able to perform operations
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parallel computing technology. Trends in commercial and scientific applications are merging as commercial applications perform more sophisticated computations and scientific applications become more data intensive. Today‚ a lot of parallel programming languages and compilers‚ based on dependencies detected in source code‚ are able to automatically split a program into multiple processes and/or threads to be executed concurrently on the available processors from a parallel system. Parallel computing is
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