作者:
Qiao, Xiangzhen
Institute of Computing Technology Chinese Academy of Sciences Beijing100080 China
The performance of applications on parallel computer systems is analyzed, and a general timing formula is proposed in the paper. The analyses are based on the "double-stream" (computation and data access) id...
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The development of vehicular networking technology continuously enhances the internet connectivity of modern vehicles. However, for in-vehicle networks, constant communication with the outside world dramatically incre...
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In this paper we discuss the idea of Web Service market places as an extended point of view towards the SOA paradigm. As existing businessapplications include software functionality which can be reused in new applica...
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ISBN:
(纸本)9783642024801
In this paper we discuss the idea of Web Service market places as an extended point of view towards the SOA paradigm. As existing businessapplications include software functionality which can be reused in new applications the idea of a shared management among allied (federated) network nodes as participants of a superordinated union of software providers and software consumers arises. Having a look at the example of a Federated ERP system we show the advantages and challenges coming along with this idea. As one of the most important issues to be considered in this context we discuss a decentralized approach for the establishment of trust relationships in federated networks. In this approach Web Service consumers rate Web Service providers, that support the competitive behavior between Web Service providers in a market-oriented system.
In the context of urban road following scenarios, ensuring the precise speed prediction and control of electric vehicle while rigorously maintaining the safe driving conditions has persistently presented a formidable ...
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The dominant position of High-Performance Fault-Tolerant (HPFT) computers in security and economics has advanced the studies on the performance benchmarks on the HPFT computers in the specific field, such as bank fina...
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In this research-in-progress paper we present a new real-world domain for studying the aggregation of different opinions: optimal urban tactical position selection (TPS). This is an important and foreseeable real worl...
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ISBN:
(纸本)9781467378222
In this research-in-progress paper we present a new real-world domain for studying the aggregation of different opinions: optimal urban tactical position selection (TPS). This is an important and foreseeable real world application, not only because cities have been viewed as centers of gravity by military planners throughout history, but also because the military significance of cities has increased proportionally as the global urbanization does. We first present a mapping between the domain of engineering research and that of the agent models present in the literature and use genetic multi-objective optimization method to generate Pareto TPS plans. Further we study the importance of forming diverse teams when aggregating opinions of different problem solvers for tactical position selection, and also the relationships of the number of problem solvers with time ratio and the solution efficiency. We show that a diverse team of problem solvers is able to provide better force deployment plans for early-stage decision makers to choose from. We also find that opinion aggregation methods, like approval voting, help to allocate a difficult problem solving among several computing resources, and at the same time ensuring the efficiency of solutions. Finally, we present next steps for a deeper exploration of our questions.
Balancing robustness and computational efficiency in machine learning models is challenging, especially in settings with limited resources like mobile and IoT devices. This study introduces Adaptive and Localized Adve...
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Blockchain is the emerging technological field for the current era due to its advantages such as distributedcomputing, transparency, cryptography enabled secure communication and message as well as source integrity. ...
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Locality-aware task scheduling for MapReduce can reduce job execution time by avoiding data transferring. However, many existing scheduling algorithms suffer from either heavy storage overhead, reduced task parallelis...
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In order to identify and schedule jobs that are suitable for determined resources, an execution time estimation model is required. In this paper, it is described a Chronological history-based execution time estimation...
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