Case Study 2: Cloud Computing CIS500: Information Systems Decision-Making 2012‚ December 2 How did Ericsson benefit from Amazon Web Services (AWS)? According to Amazon’s Web Service website‚ it gives users the option to run just about everything using their service applications. By incorporating cloud computing‚ users are able to cut variable costs to a more attractive scale for the business by eliminating costly administrative and hardware fees. Due to remote access‚ Ericsson was able to
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Assignment 1 What’s the Buzz on Smart Grids? Case Study 1.How do smart grids differ from the current electricity infrastructure in the United States? Smart Grids Advantages: A smart grid delivers electricity from suppliers to consumers using digital technology to save energy‚ reduce costs‚ and increase reliability and transparency. The smart grid enables information to flow back and forth between electric power providers and individual households to allow both consumers and energy companies
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3. Review of Cloud Based Solution 3.1 Advantages of Cloud Computing 3.1.1 Cost Efficient: Cloud computing is probably the most cost efficient method to use‚ maintain and upgrade. Traditional desktop software costs companies a lot in terms of finance. Adding up the licensing fees for multiple users can prove to be very expensive for the establishment concerned. The cloud‚ on the other hand‚ is available at much cheaper rates and hence‚ can significantly lower IT expenses. Besides‚ there are many one-time-payment
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Cloud Computing Abstract This paper explains the basic concept of cloud computing‚ its key characteristics and process of evolution. The various layers such as platforms‚ applications‚ infrastructures and clients which utilize the services of cloud computing; deployment models comprising of public cloud‚ private cloud and hybrid cloud; architecture involved in the delivery of the cloud computing and sustainability‚ private‚ legal and security issues‚ compliance
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Green computingFrom Wikipedia‚ the free encyclopediaJump to: navigation‚ search Green computing or green IT‚ refers to environmentally sustainable computing or IT. In the article Harnessing Green IT: Principles and Practices‚ San Murugesan defines the field of green computing as "the study and practice of designing‚ manufacturing‚ using‚ and disposing of computers‚ servers‚ and associated subsystems—such as monitors‚ printers‚ storage devices‚ and networking and communications systems—efficiently
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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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Green computing or green IT‚ refers to environmentally sustainable computing or IT. It is "the study and practice of designing‚ manufacturing‚ using‚ and disposing of computers‚ servers‚ and associated subsystems—such as monitors‚ printers‚ storage devices‚ and networking and communications systems—efficiently and effectively with minimal or no impact on the environment. Green IT also strives to achieve economic viability and improved system performance and use‚ while abiding by our social and ethical
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References: Armbrust M.‚ Fox A. et al; Above the Clouds: A Berkeley View of Cloud Computing; http://radlab.cs.berkeley.edu/; Feb 10‚ 2009 R 2010 Geelan J.; A World of Many Clouds; http://cloudcomputing.syscon.com/node/902342; Cloud Computing Journal; Apr 1‚ 2009
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Advantages Cloud computing relies on sharing of resources to achieve coherence and economies of scale similar to a utility (like the electricity grid) over a network.[2] At the foundation of cloud computing is the broader concept of converged infrastructure and shared services. The cloud also focuses on maximizing the effectiveness of the shared resources. Cloud resources are usually not only shared by multiple users but are also dynamically re-allocated per demand. This can work for allocating
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Introduction Managerial Grid Model is a Leadership Grid developed by Jane Mouton and Robert Blake in 1950. Popularly known as both Managerial Grid and Leadership Grid‚ it has two behavioral dimensions; concern for people and concern for production. Concern for People – It is a degree on which a leader considers the interest and need of his team members. Areas of personal development of the member are also taken into consideration. Concern for Production – It is a degree on which a leader emphasizes
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