This file was created by the TYPO3 extension bib --- Timezone: CEST Creation date: 2024-04-29 Creation time: 02-48-19 --- Number of references 8 inproceedings 2010-kunz-mascots-horizon 2010 8 18 172-181 The simulation models of wireless networks rapidly increase in complexity to accurately model wireless channel characteristics and the properties of advanced transmission technologies. Such detailed models typically lead to a high computational load per simulation event that accumulates to extensive simulation runtimes. Reducing runtimes through parallelization is challenging since it depends on detecting causally independent events that can execute concurrently. Most existing approaches base this detection on lookaheads derived from channel propagation latency or protocol characteristics. In wireless networks, these lookaheads are typically short, causing the potential for parallelization and the achievable speedup to remain small. This paper presents Horizon, which unlocks a substantial portion of a simulation model's workload for parallelization by going beyond the traditional lookahead. We show how to augment discrete events with durations to identify a much larger horizon of independent simulation events and efficiently schedule them on multi-core systems. Our evaluation shows that this approach can significantly cut down the runtime of simulations, in particular for complex and accurate models of wireless networks. horizon fileadmin/papers/2010/2010-kunz-mascots-horizon.pdf Online IEEE Computer Society

Los Alamitos, CA, USA

Proceedings of the 18th Annual Meeting of the IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS'10), Miami, FL, USA Miami, FL, USA 18th Annual Meeting of the IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS'10) August 17-19, 2010 en 978-0-7695-4197-6 1526-7539 10.1109/MASCOTS.2010.26 1 GeorgKunz OlafLandsiedel JamesGross StefanGötz FarshadNaghibi KlausWehrle inproceedings 2010-ipsn-sasnauskas-kleenet 2010 4 12 186--196 Complex interactions and the distributed nature of wireless sensor networks make automated testing and debugging before deployment a necessity. A main challenge is to detect bugs that occur due to non-deterministic events, such as node reboots or packet duplicates. Often, these events have the potential to drive a sensor network and its applications into corner-case situations, exhibiting bugs that are hard to detect using existing testing and debugging techniques. In this paper, we present KleeNet, a debugging environment that effectively discovers such bugs before deployment. KleeNet executes unmodified sensor network applications on symbolic input and automatically injects non-deterministic failures. As a result, KleeNet generates distributed execution paths at high-coverage, including low-probability corner-case situations. As a case study, we integrated KleeNet into the Contiki OS and show its effectiveness by detecting four insidious bugs in the uIP TCP/IP protocol stack. One of these bugs is critical and lead to refusal of further connections. automated protocol testing, experimentation, failure detection, wireless sensor networks kleenet fileadmin/papers/2010/2010-04-ipsn-sasnauskas-KleeNet.pdf Print ACM

New York, NY, USA

Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2010), Stockholm, Sweden en 978-1-60558-988-6 http://doi.acm.org/10.1145/1791212.1791235 1 RaimondasSasnauskas OlafLandsiedel Muhammad HamadAlizai CarstenWeise StefanKowalewski KlausWehrle inproceedings 20104-IPSN-alizai-svr 2010 4 12 366-367 We present Statistical Vector Routing (SVR), a protocol that efficiently deals with communication link dynamics in wireless networks. It assigns virtual coordinates to nodes based on the statistical distribution of their distance from a small set of beacons. The distance metric predicts the current location of a node in its address distribution. Our initial results from a prototype implementation over real testbeds demonstrate the feasibility of SVR. wld https://www.comsys.rwth-aachen.de/fileadmin/papers/2010/2010-alizai-ipsn-pad.pdf http://portal.acm.org/citation.cfm?id=1791257 Print ACM

New York, NY, USA

Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2010), Stockholm, Sweden Stockholm, Sweden 9th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2010) April 12-16, 2010 en 978-1-60558-988-6 1 Muhammad HamadAlizai TobiasVaegs OlafLandsiedel RaimondasSasnauskas KlausWehrle incollection 2010-kunz-simtools-deployments 2010 4 83-97 Print Klaus Wehrle and Mesut Günes and James Gross Springer

Berlin, Germany

6 Modeling and Tools for Network Simulation en 978-3-642-12330-6 1 GeorgKunz OlafLandsiedel GeorgWittenburg inbook 2010-02-book-alizai-hardware-and-systems 2010 2 1 99-117 http://www.network-simulation.info/ http://www.amazon.com/Modeling-Tools-Network-Simulation-Wehrle/dp/3642123309 Print Springer LNCS Chapter 7 Modeling and Tools for Network Simulation EN 978-3-642-12330-6 Muhammad HamadAlizai LeiGao TorstenKempf OlafLandsiedel inproceedings 20105munawardynamictinyos 2010 1-6 Long-term deployments of sensor networks in physically inaccessible environments make remote re-programmability of sensor nodes a necessity. Ranging from full image replacement to virtual machines, a variety of mechanisms exist today to deploy new software or to fix bugs in deployed systems. However, TinyOS - the current state of the art sensor node operating system - is still limited to full image replacement as nodes execute a statically-linked system-image generated at compilation time. In this paper we introduce Dynamic TinyOS to enable the dynamic exchange of software components and thus incrementally update the operating system and its applications. The core idea is to preserve the modularity of TinyOS, i.e. its componentization, which is lost during the normal compilation process, and enable runtime composition of TinyOS components on the sensor node. The proposed solution integrates seamlessly into the system architecture of TinyOS: It does not require any changes to the programming model of TinyOS and existing components can be reused transparently. Our evaluation shows that Dynamic TinyOS incurs a low performance overhead while keeping a smaller - upto one third - memory footprint than other comparable solutions. fileadmin/papers/2010/2010-05-icc-munawar-DynamicTinyOS.pdf Online IEEE Proceedings of the IEEE International Conference on Communications (ICC), Cape Town, South Africa en 978-1-4244-6402-9 1550-3607 1 WaqaasMunawar Muhammad HamadAlizai OlafLandsiedel KlausWehrle inproceedings 2010-ARCS-alizai-promotingpower 2010 387-392 Accurate prediction of energy consumption early in the design process is essential to efficiently optimize algorithms and protocols. However, despite energy efficiency gathering significant attention in networking research, limited effort has been invested in providing requisite evaluation tools and models. Hence, developers demand powerful evaluation tools to assist them in comparing new communication paradigms in terms of energy efficiency, and minimizing the energy requirements of algorithms. In this paper, we argue for promoting energy to a first class metric in network simulations. We explore the challenges involved in modelling energy in network simulations and present a detailed analysis of different modelling techniques. Finally, we discuss their applicability in high-level network simulations. fileadmin/papers/2010/2010-2-ARCS-alizai-promoting-power.pdf Print VDE-VERLAG

Berlin, Germany

Proceedings of the Workshop on Energy Aware Systems and Methods, in conjunction with GI/ITG ARCS 2010 Hannover, Feb. 21-23 en 978-3-8007-3222-7 1 Muhammad HamadAlizai GeorgKunz OlafLandsiedel KlausWehrle phdthesis 2010-landsiedel-phd 2010 RWTH Aachen University OlafLandsiedel