Modeling and simulation of large-scale scientific application is extremely large and complex, such as the Earth system modeling and simulation, seismic simulation, and combustion simulation. It not only needs the supp...
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ISBN:
(纸本)9781849199285
Modeling and simulation of large-scale scientific application is extremely large and complex, such as the Earth system modeling and simulation, seismic simulation, and combustion simulation. It not only needs the support of high-performance computing platform, but also needs a software technology to solve the complexities, and to enhance its flexibility and scalability. CBSE (componentbased software engineering) technology is a good solution. But the existing widely used component technology in enterprise applications, such as CORBA/CCM, COM/COM +, J2EE/EJB, and. NET, does not suitable for largescale scientific computing field. The U.S. Department of Energy in conjunction with the Indiana University and the University of Utah recently proposed a component technology CCA (Common Component Architecture) for large-scale scientific computing field. This paper first analyzes CCA and verifies it's feasibility, and then introduces the CBSE into large-scale Geophysical applications using CCA, so as to solve the complexity of modeling, simulation, management and maintenance of the simulation of Geophysical Applications.
The Internet of Things (IoT) is facing a growing concern regarding cyber-attacks and the need for anomaly detection. As the deployment of IoT devices rapidly expands, the number of attacks targeting these devices incr...
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IoT-driven automatic vehicle accident rescue system implemented with Proteus is an inventive solution aimed at enhancing emergency response and rescue operations following vehicle accidents. Given the rising vehicle u...
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Providing Video-on-Demand (VoD) service over the internet remains to be challenging due to the diversity of client requests and the requirement of high bandwidth. Based on the requirements of high-quality video applic...
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ISBN:
(纸本)9781424443376
Providing Video-on-Demand (VoD) service over the internet remains to be challenging due to the diversity of client requests and the requirement of high bandwidth. Based on the requirements of high-quality video application, in this paper, we present an unstructured Peer-to-Peer (P2P) VoD system with asynchronous data transfer among peers and centralized directory service. Some new algorithms for choosing supplying peers, caching video data and reducing the workload of centralized server are introduced to relax well-known limitations with asynchronous transfer and centralized directory service. Moreover, a simple incentive is developed to ensure fair share of peer resources. Packet-level simulations show the benefits of the proposed system in terms of playback continuity, launch delay and server stress.
Fault current limiter (FCL) is a device that has low impedance in normal state of the power network and has simultaneous large impedance in the time of fault, so that it would lead to limitation of the fault current. ...
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The stock market is a central aspect of modern economies, and the ability to detect price manipulation in the market is crucial for maintaining fair and efficient trading. The purpose of this paper is to provide an ef...
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This paper investigates the size of flat metal reflectors required for indoor wireless communications operating in the 300 GHz band. The dependence of the path length between the transmitter and receiver on the relati...
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A graph structure represents various networks;such as social networks, bibliographic networks, protein-protein interactions and communication networks. Determining possible links in a network is one of the most preval...
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In this paper, we analyzed the distortion of end-to-end video transmission over wireless channels. We proposed an adaptive cross-layer scheme to perform joint optimization of physical layer, link layer and application...
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In this paper, we analyze the relationship of number of access point (AP) and achieved throughput for a given scenario. In the scenario, we consider a number of parameters, i.e. given area, topology, number of users, ...
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