摘要 :
The logical configuration of a WDM lightwave network can be changed by reassigning wavelengths to tunable transmitters and/or receivers of nodes. In this report, we focus on the reconfiguration of multihop networks that will be ca...
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The logical configuration of a WDM lightwave network can be changed by reassigning wavelengths to tunable transmitters and/or receivers of nodes. In this report, we focus on the reconfiguration of multihop networks that will be carried out in response to changing traffic pattern. The reconfiguration can improve network performance in terms of maximum throughput. After obtaining an optimal node placement by using a rearrangement algorithm, we must actually reconfigure the network according to some reconfiguration procedure that defines way to move nodes to optimal places. Assuming no propagation delay between every pair of nodes, we have developed three reconfiguration procedures. In this report, we consider the case that propagation delay between any pair of nodes takes some positive value. By means of simulations, we examine the impact of the propagation delay normalized by a packet transmission time upon the number of lost packets during reconfiguration and maximum total delay.
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摘要 :
The logical configuration of a WDM lightwave network can be changed by reassigning wavelengths to tunable transmitters and/or receivers of nodes. In this report, we focus on the reconfiguration of multihop networks that will be ca...
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The logical configuration of a WDM lightwave network can be changed by reassigning wavelengths to tunable transmitters and/or receivers of nodes. In this report, we focus on the reconfiguration of multihop networks that will be carried out in response to changing traffic pattern. The reconfiguration can improve network performance in terms of maximum throughput. After obtaining an optimal node placement by using a rearrangement algorithm, we must actually reconfigure the network according to some reconfiguration procedure that defines way to move nodes to optimal places. Assuming no propagation delay between every pair of nodes, we have developed three reconfiguration procedures. In this report, we consider the case that propagation delay between any pair of nodes takes some positive value. By means of simulations, we examine the impact of the propagation delay normalized by a packet transmission time upon the number of lost packets during reconfiguration and maximum total delay.
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In network on chips (NoCs) design, reconfiguration of NoC is a very effective option for minimizing power consumption, and Gaussian networks can provide significant advantage over the mesh networks in terms of network diameter, av...
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In network on chips (NoCs) design, reconfiguration of NoC is a very effective option for minimizing power consumption, and Gaussian networks can provide significant advantage over the mesh networks in terms of network diameter, average hop distance and so on. In this paper, based on the special topology structure and the static connection rules within Gaussian networks, we present the reconfiguration representation for Gaussian networks and the nature of reconfigurable Gaussian networks. Furthermore, reconfigurable rules of Gaussian networks are proposed to design the constraints for automatic reconfiguration of NoC.
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Mentally imagining rather physically executing the motor behaviors is defined as motor imagery (MI). During MI, the mu rhythmical oscillation of cortical neurons is the event-related desynchronization (ERD) subserving the physiolo...
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Mentally imagining rather physically executing the motor behaviors is defined as motor imagery (MI). During MI, the mu rhythmical oscillation of cortical neurons is the event-related desynchronization (ERD) subserving the physiological basis of MI-based brain-computer interface. In our work, we investigated the specific brain network reconfiguration from rest idle to MI task states, and also probed the underlying relationship between the brain network reconfiguration and MI related ERD. Findings revealed that comparing to rest state, the MI showed the enhanced motor area related linkages and the deactivated activity of default mode network. In addition, the reconfigured network index was closely related to the ERDs, i.e., the higher the reconfigured network index was, the more obvious the ERDs were. These findings consistently implied that the reconfiguration from rest to task states underlaid the reallocation of related brain resources, and the efficient brain reconfiguration corresponded to a better MI performance, which provided the new insights into understanding the mechanism of MI as well as the potential biomarker to evaluate the rehabilitation quality for those patients with deficits of motor function.
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A new four-port balanced antenna feeding network for switchable polarizations and high transmit/receive (Tx/Rx) isolation characteristics is presented. The proposed structure is configured by two switching mode hybrid matrices whi...
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A new four-port balanced antenna feeding network for switchable polarizations and high transmit/receive (Tx/Rx) isolation characteristics is presented. The proposed structure is configured by two switching mode hybrid matrices which consist of two 3-dB couplers and two SP4T switches, two directional couplers, and Wilkinson dividers. By controlling impedances of the switching mode hybrid matrices, different types of polarizations such as right-handed circular polarization, left-handed circular polarization, vertical polarization, and horizontal polarization can be generated with stable Tx/Rx isolation characteristics regardless of antenna impedance variations.
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Emerging optical communication technologies support the dynamic reconfiguration of datacenter network topologies depending on the traffic they serve. However, to reap the benefits of such demand-aware networks, control logic that ...
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Emerging optical communication technologies support the dynamic reconfiguration of datacenter network topologies depending on the traffic they serve. However, to reap the benefits of such demand-aware networks, control logic that quickly learns and adapts to traffic patterns is required. This paper presents CacheNet, a novel approach to efficiently control demand-aware networks. CacheNet consists of two components, a demand-aware links-cache, and a demand-oblivious topology. CacheNet leverages temporal and spatial locality in the traffic by managing the reconfigurable links of the optical switches as a links-cache. Network traffic, in turn, can be served either by a link from the links-cache component or by a demand-oblivious topology component. We study several classic caching algorithms like online LFU and LRU as our caching algorithms, as well as offline optimal caching as a benchmark, and provide an analytical model which captures their performance benefits compared to an all demand-oblivious topology. Our analytical results show that based on the hit ratios and the links-cache size, when considering the average packet delay, our hybrid design outperforms a design that is based only on demand-oblivious topology. We also evaluate CacheNet empirically, using both synthetic and real-world traffic traces, confirming the potential of our approach to consider reconfigurable links as a network of links-cache.
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In recent year's losses in electrical distribution network, has become of prime concern for the utilities. Several methods have been proposed to reduce the losses, in past. In this paper a method based on network reconfiguration i...
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In recent year's losses in electrical distribution network, has become of prime concern for the utilities. Several methods have been proposed to reduce the losses, in past. In this paper a method based on network reconfiguration is proposed. Cost analysis is also preformed to show the amount of savings by reduction in losses. A practical case of Indian rural distribution network has been considered. The results show substantial amount of savings by reconfiguration.
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A reconfigurable network can change its topology by opening and closing switches on power lines. We use real wind, solar, load, and cost data and a model of a reconfigurable distribution grid to show that reconfiguration allows a ...
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A reconfigurable network can change its topology by opening and closing switches on power lines. We use real wind, solar, load, and cost data and a model of a reconfigurable distribution grid to show that reconfiguration allows a grid operator to reduce operational losses as well as to accept more intermittent renewable generation than a static configuration can. Net present value analysis of automated switch technology shows that the return on investment is negative for this test network when considering only loss reduction, but that the investment is attractive under certain conditions when reconfiguration is used to minimize curtailment.
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This paper presents the design, implementation and performance evaluation of a coarse-grain dynamically reconfigurable FPGA platform for multi-service edge and access network devices. The platform consists of two MicroBlaze RISC p...
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This paper presents the design, implementation and performance evaluation of a coarse-grain dynamically reconfigurable FPGA platform for multi-service edge and access network devices. The platform consists of two MicroBlaze RISC processors and a number of hardware co-processors used for the processing of packet payloads (Data Encryption Standard (DES) and Lempel-Ziv Compression). The co-processors can be connected either directly to the processors or using a shared bus. The functionality of the co-processors is dynamically reconfigured to meet the requirements of the network workload. The system has been implemented on the Xilinx Virtex II Pro platform and the network traces from real passive measurements have been used for performance evaluation. The use of dynamically reconfigurable co-processors for network applications shows that the performance speedup versus a static version varies from 12% to 35% in the best case and from 10% to 15% on average, depending on the network traffic fluctuation.
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An efficient algorithm ESA combining evolution strategies(ES) with simulated anneal-ing(SA) is proposed in this paper. We first use ES to choose an initial temperature, then use a modified SA to find a global optimum for the probl...
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An efficient algorithm ESA combining evolution strategies(ES) with simulated anneal-ing(SA) is proposed in this paper. We first use ES to choose an initial temperature, then use a modified SA to find a global optimum for the problem. An efficient load flow method and a heuristic criterion for determining the temperature-lowering scheme are employed in order to speed up the computation. The solution algorithm has been tested on a distribution system with very promising results.
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