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Software-Defined Networking (SDN) controllers are network entities that act as strategic control points in an SDN network. Controller placement studies mostly aim at optimizing network performance in terms of control latency, reliability and resilience, given network characteristics that are static. Yet dynamic traffic conditions, if not adapted by the controller placement properly, may cause high...
This paper proposes and evaluates a performance efficient application mapping algorithm for mesh-based NoCs. The proposed algorithm first prioritizes tasks of the given application graph based on their total in/out communication traffic. Then a task with the most communication traffic is selected and mapped onto the center part of the mesh topology i.e., a core with the most available communication...
We consider the following problem: two nodes want to reliably communicate in a dynamic multihop network where some nodes have been compromised, and may have a totally arbitrary and unpredictable behavior. These nodes are called Byzantine. We consider the two cases where cryptography is available and not available. We prove the necessary and sufficient condition (that is, the weakest possible condition)...
Communication networks are prone to failures due to targeted attacks or large-scale disasters. Networks can be improved to withstand challenges using mechanisms such as diversity, which can simply be improved by adding links, however achieving maximum resilience is not feasible due to limited budget. Therefore, algorithms that improve the diversity of networks cost-efficiently are necessary. In this...
This paper presents an autonomic algorithm for constructing minimum spanning trees in a distributed system. Processes are virtually organized on a hypercube-like topology, called VCube. The spanning trees are dynamically created from any source process and regenerated transparently when processes become faulty. Any tree reconstruction is autonomously done based on the virtual topology and on fault...
Topology control decides the minimum transmission power for each node that ensures the connectivity of the node. In static networks, reliable topology control algorithms are considered to preserve network connectivity because the node movement is not taken into consideration. But, in MANETs, network topology changes and varies because of node movements. Thus, it cannot maintain continuously the network...
His work proposes a hierarchical Coloured Petri Nets (CPN) model for finding the most reliable path in an oil pipeline network. A path is achieved with the opening of valves along it linking the pipes and with the closing of the adjacent ones to isolate it from the rest of the pipeline network. This work has two goals: firstly to calculate the dynamic reliability of the valves engaged to open (openers)...
As we all know, many-to-many multicast routing can be extensively used in computer or communication networks supporting various continuous multimedia applications. Here, we are concerned with the case where each user is both a sender and a receiver of messages in multicasting as well as a terminal. In this case, the multicast tree appears as a terminal Steiner tree (TeST). The problem of finding a...
The standard optimal power flow (OPF) problem minimizes generation costs over one study period assuming a fixed system topology. The prospect of a smart grid incorporating extensive cyber capabilities enabling significant progress in economic efficiency, reliability and environmental sustainability, ought to transform the OPF problem accordingly. This paper discusses the inclusion of tractable dynamic...
Plant automation and control are mission-critical applications and require timely and reliable data delivery, which is difficult to provide using a wireless technology. This is especially more difficult in industrial environments with harsh radio conditions. In this paper we present a dynamic and distributed topology control algorithm for Wireless Sensor Networks for use in performance critical environments...
Our goal is to maintain 1+1 path protection as much as possible after a single failure occurs for ensuring carrier-grade reliability. An obvious approach is preparing a third path that is disjoint with the primary and backup paths, but applicability to actual networks with this approach is extremely restricted. From our evaluation, the recovery ratio for reconstructing 1+1 path protection decreases...
With emerging demand for online surveillance and management, persistent and reliable connectivity to base stations (BSs) is indispensable so that network operators, which have access to all BSs, can collect measurements from all wireless terminals in the field, monitor their status and respond to critical incidents in real-time. However, disconnected networks make reliable BS connectivity problematic...
Efficient, scalable and robust grid service provisioning is one of the cornerstones of next generation grid systems. In agreement with this vision, we propose a flexible grid service provisioning framework built on a two layer architecture. A lower layer provides membership management and basic communication upon a self-organized peer-to-peer overlay maintained and optimized using a fully distributed...
Overlay networks have emerged as a means to enhance end-to-end application performance and availability. Network topology plays an important role in utilizing resources in peer-to-peer systems. Epidemic algorithms are potentially effective solutions for disseminating information in large scale and dynamic systems. P2P networks are popular for their dynamicity, but they are easy to deploy, robust and...
In order to improve communication reliability of power line carrier sensor network, a network topology dynamic discovery algorithm based on improved ant colony algorithm is proposed. The network topology discovery issue is changed into the minimum spanning tree of map by optimization strategy which based on antspsila election roads. Moreover, the idea of depth-first search is combined with to ensure...
A network model using Self-organizing map (SOM) and Outputs Modifiable Radial Basis Function (OMRBF) is proposed to identify acoustic fault of underwater vehicles. This model integrates unsupervised SOM with supervised OMRBF to accomplish incremental learning. The outputs neurons of this model can be modified on-line, and SOM is utilized to determine the optimal number of hidden neurons. Experiment...
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