4 research outputs found

    Architecture of Network and Client-Server model

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    With the development of Internet technology, the Web is becoming more and more important in our lives so that it has even become an essential element. The application of the Web has never been limited to computers; it has been opened to all kinds of intelligent digital devices like mobile ones. In this paper, we discuss the main and substantial difference between UDP and TCP, and how to implement Client-Server model. We also discuss the efficiency of multi-thread server and its relationship with internet.Comment: submitted to journal Advances in Electrical Engineering System

    The Economic Trend of Video Game Industry

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    In recent years the game industry has had a huge growth. We've seen new game consoles, great looking games and an increase in the number of people playing them. We are presently in the seventh generation of video games which focuses on consoles released since 2004. For home consoles,the seventh generation began on November 22, 2005 with the release of Xbox 360 and continued with the release of PlayStation 3 on November 11, 2006, and Wii on November 19, 2006. The current generation is having a console battle between Nintendo's Wii, Microsoft's Xbox 360, and Sony's PlayStation 3.The appearance of the three new consoles not only offers various purchase choices, but also greatly affects economy and culture.Comment: submitted to journal Advances in Digital Multimedi

    Neural Network Model of Pricing Health Care Insurance

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    To pricing health insurance plan, statisticians use mathematical models to predict customers' future health condition. General Addictive Model (GAM) is a wide accepted method for this problem. However, it have several limitations. To solve this problem, a new method named neural network model is implemented. Compare with GAM model, neural network provide a more accurate predicting result.Comment: 5 pages, 2 figure

    Priority-aware Gray-box Placement of Virtual Machines in Cloud Platforms

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    Virtual machine (VM) placement is very important for cloud platforms. While techniques, such as live virtual machine migration, are very useful to balance the load in the data centers, they are expensive operations. In this position paper, we propose to minimize the chance of the load hot spots in the data center by applying the workload patterns of the VMs in the virtual machine placement algorithms - place VMs that require a lot of same type of resource across different physical servers. In this way, the resource competition of VMs on the same physical server is significantly mitigated. Meanwhile, we also consider the priorities of applications and VMs in our virtual machine placement algorithms.Comment: submitted to Advances in Computer Science and its Application
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