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An algorithm for predicting the quality of video received by a client from a shared server is presented. A statistical model for this client-server system, in the presence of other clients, is proposed. Our contribution is that we explicitly account for the interfering clients, namely the load. Once the load on the system is understood, accurate client-server predictions are possible with an accuracy...
Due to the increasing popularity of smartphones and in-dash navigation equipment, traffic data gathered by mobile devices has grown in popularity as a basis for predicting traffic conditions. Mobile devices submit location information to a central server, where future traffic conditions are computed. Because this type of system would be expensive to test with real drivers, algorithms for road traffic...
Cloud data centers and virtualization are being highly considered for enterprises and industries. However, elastic fine-grained resource provision while ensuring performance and SLA guarantees for applications requires careful consideration of important and extremely challenging tradeoffs. In this paper, we present RPPS (Cloud Resource Prediction and Provisioning scheme), a scheme that automatically...
Power consumption imposes a significant cost for data centers implementing cloud services, yet much of that power is used to maintain excess service capacity during periods of predictably low load. This paper investigates how much can be saved by dynamically ‘right-sizing’ the data center by turning off servers during such periods, and how to achieve that saving via an online algorithm. We prove that...
Business intelligence platform is used by an enterprise is an effective tool to help and guide your decision making to keep your products and services competitive. This paper systematically introduces the relate components of a business intelligence system and gives a complete Business intelligence solution with Microsoft SQL Server 2005.
This with the development of sports and modern computer technologies, a great deal of data were recorded, including training data of athletes, test data of students in sports course, and test data of physical health standard (PHS). However, usage of these records is limited. Patterns and relationships among data may still retain hidden. Data mining, usually applied in business fields, is a helpful...
The on-line analytical mining (OLAM) seamless combines the on-line analytical process (OLAP) and the data mining (DM) techniques. It not only contains both advantages respectively, but also proposes a new highlight in the whole fields of data analysis. This paper will use the seamless integration techniques, provided by SQL SERVER 2005, to study OLAM technique.
Today's massively multiplayer online games (MMOGs) can include millions of concurrent players spread across the world. To keep these highly-interactive virtual environments online, a MMOG operator may need to provision tens of thousands of computing resources from various data centers. Faced with large resource demand variability, and with misfit resource renting policies, the current industry practice...
This paper aims at studying the task scheduling in a highly frequent task submitting circumstance in a specific grid environment. The grid is mainly comprised by PCs (personal computers) which in practice will not provide replica information to the grid replica catalogue because the frequent updating operation caused by task execution will consume lots of bandwidth and computing resources. Furthermore...
Data centers contain heterogeneous sets of machines. Some machines are faster and some - often the same ones - consume more energy and cost more to operate. The data center coordinator must decide how to allocate these machines to multiple applications of potentially many customers, each of which has different requirements. Given a stream of customer requests for machines, how does the data center...
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