In this paper, we present the Greek School Network (GSN) and describe some of its advanced electronic services, designed to facilitate learning and collaboration. The main objective of the Greek School Network is to p...
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In this paper, a semi-layer multistage delta network is presented and exemplified considering various values of buffer size by using simulation. The proposed network configurations are evaluated and compared with each...
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ISBN:
(纸本)9789898425782
In this paper, a semi-layer multistage delta network is presented and exemplified considering various values of buffer size by using simulation. The proposed network configurations are evaluated and compared with each other. A performance evaluation was conducted via our simulator assuming uniform conditions and arrivals of Bernoulli type. Performance statistics were collected for the two most important performance indicators of the network that is throughput and packet latency. From this study emerges the appropriate configuration of single and semi-layer delta networks in terms of buffer size. The evaluation methodology can be applied to several network configurations, providing the basis for a fair comparison, and the necessary data for network engineering to optimize the performance of semi-layer delta networks.
Power management is especially important in wireless networks because of the emergence of energy constrained mobile devices. This paper examines the ways that video encoding information can be used for more efficient ...
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ISBN:
(纸本)9789898425690
Power management is especially important in wireless networks because of the emergence of energy constrained mobile devices. This paper examines the ways that video encoding information can be used for more efficient power management. In particular, we propose and evaluate cross layer mechanisms that finetune transmission power depending on the video frame being encoded and we examine how this mechanism may be combined with algorithms that adjust transmission power based on feedback reports when TCP Friendly Rate Control (TFRC) is used as the transport protocol. Since typical video encoding uses frames of varying importance for the overall quality, this approach can improve received video quality and make better usage of available power.
It is widely accepted that GMPLS (Generalized MPLS) will be a key technology in the evolution of the next generation of reliable Internet Protocol (IP) backbone networks. Conventional GMPLS-based optical-switching net...
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ISBN:
(纸本)9789898425690
It is widely accepted that GMPLS (Generalized MPLS) will be a key technology in the evolution of the next generation of reliable Internet Protocol (IP) backbone networks. Conventional GMPLS-based optical-switching network fault recovery only provides resiliency in terms of path segment selection instead of constraint-based calculation. This can create severe impact on the protocol's transport plane when a fault occurs to a link or path with many optical connections attached to it. This paper proposes the implementation of an improved GMPLS recovery algorithm based on the metric of optical link delay which is achieved through the pre or post selection of a safer and more stable protection path with fewer connections attached to it, and therefore with a lesser link delay metric compared to other possible paths. The improved recovery algorithm is evaluated using the network simulator ns-2 and more particularly a specialized simulator add-on for GMPLS, called ASONS (Automatically Switched Optical Network Simulator). The results indicate improved resiliency, increased fault avoidance, and reduced packet loss.
Cognitive infocommunication channels are abstract channels which use sensory substitution to convey structured perceptual information via any number of sensory modalities. Our goal is to develop engineering systems fo...
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The contribution of the AC conductance on admittance spectroscopy measurements on Metal-Insulator-Semiconductor (MIS) devices allows the calculation of the interface traps density and the relevant time constant. Two e...
The contribution of the AC conductance on admittance spectroscopy measurements on Metal-Insulator-Semiconductor (MIS) devices allows the calculation of the interface traps density and the relevant time constant. Two equivalent model approaches can be applied in order to explain the experimental results. One model is the statistical model based on the Shockley- Read-Hall (S-R-H) recombination statistics and the other one is a model based on the quantum tunneling effect. Recent evidence suggest that the tunneling model can be equivalent to the statistical one if a continuum of states is also considered in the modeling, creating an extended tunneling model. In the present paper, a further investigation on the extended model is attempted. Admittance spectroscopy data were collected for various Insulator/Si combinations, such as SrTiO3 and BaTiO3 deposited on Si. Both the S-R-H based and the extended tunneling models were used to analyze the data. The results showed that the extended tunneling can model the conductance of the device successfully and can calculate the interface states density and the traps time constant.
It is widely accepted that GMPLS (Generalized MPLS) will be a key technology in the evolution of the next generation of reliable Internet Protocol (IP) backbone networks. Conventional GMPLS-based optical-switching net...
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ISBN:
(纸本)9789898425690
It is widely accepted that GMPLS (Generalized MPLS) will be a key technology in the evolution of the next generation of reliable Internet Protocol (IP) backbone networks. Conventional GMPLS-based optical-switching network fault recovery only provides resiliency in terms of path segment selection instead of constraint-based calculation. This can create severe impact on the protocol's transport plane when a fault occurs to a link or path with many optical connections attached to it. This paper proposes the implementation of an improved GMPLS recovery algorithm based on the metric of optical link delay which is achieved through the pre or post selection of a safer and more stable protection path with fewer connections attached to it, and therefore with a lesser link delay metric compared to other possible paths. The improved recovery algorithm is evaluated using the network simulator ns-2 and more particularly a specialized simulator add-on for GMPLS, called ASONS (Automatically Switched Optical Network Simulator). The results indicate improved resiliency, increased fault avoidance, and reduced packet loss.
In this work, we present a platform-agnostic framework for integrating heterogeneous Smart Objects in the Web of Things. Our framework, consists of 4 different hardware platforms, Arduino, SunSPOT, TelosB, iSense. The...
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In this work, we present a platform-agnostic framework for integrating heterogeneous Smart Objects in the Web of Things. Our framework, consists of 4 different hardware platforms, Arduino, SunSPOT, TelosB, iSense. These hardware platforms are the most representative ones, as used by the relevant research community. A first contribution of our work is a careful description of the necessary steps to make such a heterogeneous network interoperate and the implementation of a network stack, in the form of a software library, named mkSense, which enables their intercommunication. Moreover, we describe the design and implementation of software library which can be used for building "intelligent software" for the Web of Things.
The efficient transmission of TCP traffic over OBS networks is a challenging problem, due to the high sensitivity of TCP congestion control mechanism to losses. In this paper, a traffic prediction scheme is proposed t...
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The efficient transmission of TCP traffic over OBS networks is a challenging problem, due to the high sensitivity of TCP congestion control mechanism to losses. In this paper, a traffic prediction scheme is proposed that exploits TCP traffic dynamics to optimize the performance of TCP transmission over OBS networks. Due to the TCP flow control mechanism, traffic dynamics can be accurately predicted in at least one RTT-long prediction window. In the proposed scheme, the prediction process is tightly coupled with the burst assembly process since the edge node is capable of inspecting incoming TCP traffic, keeping traffic statistics in parallel to the assembly process. These statistics are then used for traffic predictions. In this way burst size can be predicted and thus in advance reserve the appropriate resources. In this paper, we detail the traffic prediction mechanism and we also provide simulation results to assess its performance.
In this work we add a training phase to an Impairment Aware Routing and Wavelength Assignment (IA-RWA) algorithm so as to improve its performance. The initial IA-RWA algorithm is a multi-parametric algorithm where a v...
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In this work we add a training phase to an Impairment Aware Routing and Wavelength Assignment (IA-RWA) algorithm so as to improve its performance. The initial IA-RWA algorithm is a multi-parametric algorithm where a vector of physical impairment parameters is assigned to each link, from which the impairment vectors of candidate lightpaths are calculated. The important issue here is how to combine these impairment parameters into a scalar that would reflect the true transmission quality of a path. The training phase of the proposed IA-RWA algorithm is based on an optimization approach, called Particle Swarm Optimization (PSO), inspired by animal social behavior. The training phase gives the ability to the algorithm to be aware of the physical impairments even though the optical layer is seen as a black box. Our simulation studies show that the performance of the proposed scheme is close to that of algorithms that have explicit knowledge of the optical layer and the physical impairments.
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