The last decade has seen a substantial increase in commodity computer and network performance, mainly as a result of faster hardware and more sophisticated software. Nevertheless, there are still problems, in the fiel...
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The last decade has seen a substantial increase in commodity computer and network performance, mainly as a result of faster hardware and more sophisticated software. Nevertheless, there are still problems, in the fields of science, engineering, and business, which cannot be effectively dealt with using the current generation of supercomputers. In fact, due to their size and complexity, these problems are often very numerically and/or data intensive and consequently require a variety of heterogeneous resources that are not available on a single machine. A number of teams have conducted experimental studies on the cooperative use of geographically distributed resources unified to act as a single powerful computer. This new approach is known by several names, such as metacomputing, scalable computing, global computing, Internet computing, and more recently peer-to-peer or Grid computing. The early efforts in Grid computing started as a project to link supercomputing sites, but have now grown far beyond their original intent. In fact, many applications can benefit from the Grid infrastructure, including collaborative engineering, data exploration, high-throughput computing, and of course distributed supercomputing. Moreover, due to the rapid growth of the Internet and Web, there has been a rising interest in Web-based distributedcomputing, and many projects have been started and aim to exploit the Web as an infrastructure for running coarse-grained distributed and parallel applications. In this context, the Web has the capability to be a platform for parallel and collaborative work as well as a key technology to create a pervasive and ubiquitous Grid-based infrastructure. This paper aims to present the state-of-the-art of Grid computing and attempts to survey the major international efforts in developing this emerging technology. Copyright (C) 2002 John Wiley Sons, Ltd.
Most of Android users have experienced issues with the battery life. One cause of battery drainage is the usage of the Wakelocks, which keep the CPU in working mode to enable applications to perform work in the backgr...
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In order to study the impact of different leaders on the U.S. economy, this paper uses a gray correlation model to obtain the more sensitive and prominent factors among all the factors. After that, these factors are u...
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Picture Archiving and Communication Systems (PACS) enable many Hospitals around the world to organize and distribute their radiology imagery. Services provided by PACS establish a platform for the diagnosis of differe...
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ISBN:
(纸本)9780769541105
Picture Archiving and Communication Systems (PACS) enable many Hospitals around the world to organize and distribute their radiology imagery. Services provided by PACS establish a platform for the diagnosis of different diseases. In this paper we discuss the implementation and performance results of a web-based PACS named WEBSERVEX developed under a cooperative effort between the Autonomous University of Queretaro (UAQ) and the Mexican Corporation of Radiology (CMR). WEBSERVEX presents a set of tools that allow radiologist to manipulate and annotate images using a popular format called DICOM (Digital Imaging and Communication in Medicine). The web-based system has been successfully installed and it is currently in use.
With the recent popularization of smartphones, more attention has been given to design dynamic keys for smartphone communications. In this paper, we particularly work to meet the requirement of encrypted information s...
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We address an estimation problem of nonlinear dynamic system through a large-scale sensor network. Even though much research has been done in data fusion, the extension to nonlinear dynamic system is recently focused....
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ISBN:
(纸本)9780769541105
We address an estimation problem of nonlinear dynamic system through a large-scale sensor network. Even though much research has been done in data fusion, the extension to nonlinear dynamic system is recently focused. The main difficulty in data fusion of nonlinear dynamic system comes from that effective nonlinear filters do not allow the information form. In this paper, two algorithms are considered to implement distributed Kalman filtering for a large-scale sensor network. Data fusion problem for a large-scale sensor network is tackled by using Kalman-Consensus filter (KCF) whose scalability is suitable for a large-scale sensor network with random topology. Based on KCF fusion algorithm, Sigma-Point Information filter (SPIF) is proposed as a micro-filter of KCF to handle the nonlinear dynamic system. Because of its information fusion structure, it is simple and intuitive to be combined with the consensus algorithm. Newly proposed algorithm called Consensus Sigma-Point Information Filter (CSPIF) shows us the improved accuracy compared with local estimates.
The power consumption of programs and algorithms is currently a very active research field. This includes the investigation of the effect of different programming techniques on power consumption. Some programming tech...
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In order to correctly understand the influencing factors of carbon emissions in central China and the important role of government governance capacity in achieving the goal of 'carbon neutrality'. In theory, u...
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Often referred to as heritage systems, Legacy systems have proven their efficacy and durability over the decades but struggling to prove their viability in the digital market. Legacy systems are being modernized and m...
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A multi-core personal computer can run many compute-intensive programs concurrently. An oversubscription occurs when the number of user programs exceeds CPU cores or memory resources, such that these resources are tim...
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ISBN:
(纸本)9780769541105
A multi-core personal computer can run many compute-intensive programs concurrently. An oversubscription occurs when the number of user programs exceeds CPU cores or memory resources, such that these resources are time-shared by several programs. Traditionally, over-subscription is an approach to improve system utilization when user programs are not compute intensive. However, with compute-intensive programs, peak system utilization is achieved even without over-subscription. In addition, oversubscription in such a scenario prolongs the completion time of each program, and risks trashing the memory resources. To prevent the over-subscription, we propose of a batch scheduler for personal multi-core systems. It imposes a job queuing policy to ensure that CPU cores and memory resources are not time-shared by multiple programs. To demonstrate our idea, we present a simple implementation of a personal batch scheduler by extending a batch scheduler designed for HPC (high performance computing) clusters, with virtualization technologies.
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