A novel highly adaptive routing for networks-on-chip

The degree of adaptiveness has a major impact on the performance of an adaptive routing method. This research work presents a novel turn model based routing method that provides a high degree of adaptiveness for 2D mesh. The result is that the proposed method reduces restrictions on the routing turns significantly and hence can provide path diversity using additional routes (both minimal and non-minimal). Experimental results show that the proposed method provides better performance (average latency and throughput) in comparison with the recent routing methods

Adaptive turn-prohibition routing algorithm for the networks of workstations

Deadlock occurrence is a critical problem for any computer network. Various solutions have been proposed over last two decades to solve problem of deadlocks in networks using different routing schemes, like up/down routing algorithm used in Myrinet switches. However, most of existing approaches for deadlock-free routing either try to eliminate any possibility of deadlock occurrence, which can result in putting extra restrictions on the routing in the networks or put no restrictions on routing, which leads to other approach namely deadlock recovery. In this thesis emphasis is on developing hybrid approach for routing in wormhole networks, wherein some prohibition is imposed on routing along with some kind of deadlock recovery. This adaptive approach allows changing the amount of routing restrictions depending on network traffic, thus providing a flexible method to achieve better network performance compared to the existing techniques. The main idea of the proposed method consists in the sequential selections of some turns, which are prohibited to be selected during routing. After each additional turn is added, the probability of deadlock occurrence decreases gradually. Cost formula is proposed to estimate cost of implementing both strategies in a network which is basis of proposed adaptive model

Dynamic Security-aware Routing for Zone-based data Protection in Multi-Processor System-on-Chips

In this work, we propose a NoC which enforces the encapsulation of sensitive traffic inside the asymmetrical security zones while using minimal and non-minimal paths. The NoC routes guarantee that the sensitive traffic is communicated only through the trusted nodes which belong to the security zone. As the shape of the zones may change during operation, the sensitive traffic must be routed through low-risk paths. We test our proposal and we show that our solution can be an efficient and scalable alternative for enforce the data protection inside the MPSoC

Jointly Optimal Routing and Caching for Arbitrary Network Topologies

We study a problem of fundamental importance to ICNs, namely, minimizing routing costs by jointly optimizing caching and routing decisions over an arbitrary network topology. We consider both source routing and hop-by-hop routing settings. The respective offline problems are NP-hard. Nevertheless, we show that there exist polynomial time approximation algorithms producing solutions within a constant approximation from the optimal. We also produce distributed, adaptive algorithms with the same approximation guarantees. We simulate our adaptive algorithms over a broad array of different topologies. Our algorithms reduce routing costs by several orders of magnitude compared to prior art, including algorithms optimizing caching under fixed routing.Comment: This is the extended version of the paper "Jointly Optimal Routing and Caching for Arbitrary Network Topologies", appearing in the 4th ACM Conference on Information-Centric Networking (ICN 2017), Berlin, Sep. 26-28, 201

Broadcasting in Noisy Radio Networks

The widely-studied radio network model [Chlamtac and Kutten, 1985] is a graph-based description that captures the inherent impact of collisions in wireless communication. In this model, the strong assumption is made that node $v$ receives a message from a neighbor if and only if exactly one of its neighbors broadcasts. We relax this assumption by introducing a new noisy radio network model in which random faults occur at senders or receivers. Specifically, for a constant noise parameter $p \in [0,1)$, either every sender has probability $p$ of transmitting noise or every receiver of a single transmission in its neighborhood has probability $p$ of receiving noise. We first study single-message broadcast algorithms in noisy radio networks and show that the Decay algorithm [Bar-Yehuda et al., 1992] remains robust in the noisy model while the diameter-linear algorithm of Gasieniec et al., 2007 does not. We give a modified version of the algorithm of Gasieniec et al., 2007 that is robust to sender and receiver faults, and extend both this modified algorithm and the Decay algorithm to robust multi-message broadcast algorithms. We next investigate the extent to which (network) coding improves throughput in noisy radio networks. We address the previously perplexing result of Alon et al. 2014 that worst case coding throughput is no better than worst case routing throughput up to constants: we show that the worst case throughput performance of coding is, in fact, superior to that of routing -- by a $\Theta(\log(n))$ gap -- provided receiver faults are introduced. However, we show that any coding or routing scheme for the noiseless setting can be transformed to be robust to sender faults with only a constant throughput overhead. These transformations imply that the results of Alon et al., 2014 carry over to noisy radio networks with sender faults.Comment: Principles of Distributed Computing 201