In this paper, we discuss the practical aspects involved in Voice over IP(VoIP) system deployment. Specifically, we investigate various aspects of voice and data integration, including the design and implementation co...
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ISBN:
(纸本)0964345692
In this paper, we discuss the practical aspects involved in Voice over IP(VoIP) system deployment. Specifically, we investigate various aspects of voice and data integration, including the design and implementation considerations. We also describe a detailed case study of a Voice over IP design and implementation conducted within a suburban Philadelphia school district.
We systematically evaluate the performance of five implementations of a single, user-level communication interface. Each implementation makes different architectural assumptions about the reliability of the network ha...
ISBN:
(纸本)9781581133172
We systematically evaluate the performance of five implementations of a single, user-level communication interface. Each implementation makes different architectural assumptions about the reliability of the network hardware and the capabilities of the network interface. The implementations differ accordingly in their division of protocol tasks between host software, network-interface firmware, and network hardware. Using microbenchmarks, parallel-programming systems, and parallel applications, we assess the performance impact of different protocol decompositions. We show how moving protocol tasks to a relatively slow network interface yields both performance advantages and disadvantages, depending on the characteristics of the application and the underlying parallel-programming system. In particular, we show that a communication system that assumes highly reliable network hardware and that uses network-interface support to process multicast traffic performs best for all applications.
This paper proposes the possibility of reuse of the existing optimized DSP code on a scalable high-performance VLIW DSP processor. Since loops are the critical paths in most DSP applications, we focus on issues relate...
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Human computer interaction can be specified successfully using the concept of information resources and the formal notation of graph grammars. In order to achieve a precise and continuous specification process between...
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Computation intensive DSP applications usually require parallel/pipelined processors in order to meet specific timing requirements. data hazards are a major obstacle against the high performance of pipelined systems. ...
Computation intensive DSP applications usually require parallel/pipelined processors in order to meet specific timing requirements. data hazards are a major obstacle against the high performance of pipelined systems. This paper presents a novel efficient loop scheduling algorithm that reduces data hazards for such DSP applications. This algorithm has been embedded in a tool, called SHARP, which schedules a pipelined data flow graph to multiple pipelined units while hiding the underlying data hazards and minimizing the execution time. This paper reports significant improvement for some well-known benchmarks showing the efficiency of the scheduling algorithm and the flexibility of the simulation tool.
We should consider semistructured data of which have a weak schema information in networked information world. To manage such semistructured data efficiently, this paper introduces a data model for semistructured data...
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This paper presents an investigation of a hybrid technique developed for synthesizing fuzzy logic controllers (FLC) as stability augmentation systems. The hybrid technique combines the control capabilities of fuzzy lo...
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We present a method for developing a multiple processor workload characterization based on actual system level traces of user and kernel accesses. We trace a single processor system executing an N-processor workload. ...
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In this paper the NeuDB system is presented, which accomplishes the physical and conceptual integration of neural networks with an object-oriented database system. In the context of the database system neural networks...
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