aSHIIP: Autonomous Generator of Random Internet-like Topologies with Inter-domain Hierarchy

Tomasik, Joanna; Weisser, Marc-Antoine

doi:10.1109/mascots.2010.47

Cited by 14 publications

(8 citation statements)

References 27 publications

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“…There are many freely-available tools capable of generating large scale topologies in accordance to the most common models. Such tools include BRITE [28], Inet [38], GT-ITM [1] and aSHIIP [35]. However, also in this case, generated topologies cannot be used without further configuration.…”

Section: Related Workmentioning

confidence: 99%

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A Toolchain for Simplifying Network Simulation Setup

Saino¹,

Cocora²,

Pavlou³

2013

Proceedings of the Sixth International Conference on Simulation Tools and Techniques

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Arguably, one of the most cumbersome tasks required to run a network simulation is the setup of a complete simulation scenario and its implementation in the target simulator. This process includes selecting a topology, provision it with all required parameters and, finally, configure traffic sources or generate traffic matrices.Many tools exist to address some of these tasks. However, most of them do not provide methods for configuring network and traffic parameters, while others only support a specific simulator. As a consequence, a user often needs to implement the desired features personally, which is both time-consuming and error-prone.To address these issues, we present the Fast Network Simulation Setup (FNSS) toolchain. It provides capabilities for parsing topologies from datasets or generating them synthetically, assign desired configuration parameters and generate traffic matrices or event schedules. It also provides APIs for a number of programming languages and network simulators to easily deploy the simulation scenario in the target simulator. Categories and Subject Descriptors General TermsDesign, Performance, Experimentation Keywords network topology, network simulation, link capacity, modeling, traffic matrix * Source code, binaries and documentation of the FNSS toolchain is available at

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Section: Related Workmentioning

confidence: 99%

“…• Import a topology from other topology generators: FNSS supports the import of topologies generated using BRITE [28], Inet [38] and aSHIIP [35].…”

Section: Network Topologiesmentioning

confidence: 99%

A Toolchain for Simplifying Network Simulation Setup

Saino¹,

Cocora²,

Pavlou³

2013

Proceedings of the Sixth International Conference on Simulation Tools and Techniques

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“…Initial random graphs are generated with our tool aSHIIP 2 [18]. The parameters we used can be found in [2], along with a procedure to produce random graphs with indicated eNodeB positions.…”

Section: A Transformation Of a Random Graph Into An Interference Graphmentioning

confidence: 99%

Frequency reuse with incomplete information in a novel generation of PMR networks

Lamiable

Tomasik

2014

2014 7th IFIP Wireless and Mobile Networking Conference (WMNC)

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Private Mobile Radio (PMR) networks are cellular infrastructures dedicated to be used by professionals, such as public safety, military, industry and transportation organizations. The world PMR leader, Airbus Defence and Space (former Cassidian), intends to base the next generation of its products upon LTE-Advanced, enriched with a new sensing method which estimates interference probabilities between user entities (UEs) and neighboring base stations (eNodeBs).We work on a variant of the fractional coloring problem, which models an optimal Resource Blocks (RBs) allocation with spatially unrestrained frequency reuse, taking into account the new sensing. We propose a distributed allocation algorithm where eNodesBs allocate RBs to their UEs having at their disposal partial information concerning the possibility of interference between UEs, keeping in mind its possible implementation in PMR networks. We stress that exchanges of interference information are made between eNodeBs and not UEs. Overhead is thus transmitted over a wired network and its volume is very small.Because this problem is NP-hard without constant performance bounds, we perform an exhaustive procedure to evaluate the performance of our algorithm. Our distributed algorithm is confronted with the random one and two existing resource allocation schemes (Fractional/Soft Frequency Reuse). Our algorithm clearly outperforms the others even with incomplete interference information. Being little demanding in terms of execution time and overhead amount, it is an excellent candidate to be implemented in the new LTE-Advanced PMR networks.

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“…In this study we use our tool aSHIIP 2 [9]. Graphs which it generates are transformed into interference models.…”

Section: Related Workmentioning

confidence: 99%

Validation of spectrum management schemes for PMR networks based on LTE with interference detection

Lamiable¹,

Tomasik²

2013

2013 IFIP Wireless Days (WD)

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Private Mobile Radio (PMR) networks are cellular infrastructures dedicated to be used by professionals. We have been working on allocation algorithms in LTE based PMR networks equipped with an innovative sensing mechanism which estimates interference probability between UEs (User Entities).We proposed spectrum management schemes which take advantage of sensed data to operate parsimoniously. As the underlying problems are NP-hard, the performance evaluation of the proposed solutions has to be made. At the stage of algorithm design we are obliged to generate representative series of interference graphs.We describe the methodology of random interference graph generation. We take into consideration numerous aspects of PMR networks, notably the QoS requirements. We offer a procedure which allows anybody intending to develop algorithms for this new PMR technology to have a complete modeling support.

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aSHIIP: Autonomous Generator of Random Internet-like Topologies with Inter-domain Hierarchy

Cited by 14 publications

References 27 publications

A Toolchain for Simplifying Network Simulation Setup

A Toolchain for Simplifying Network Simulation Setup

Frequency reuse with incomplete information in a novel generation of PMR networks

Validation of spectrum management schemes for PMR networks based on LTE with interference detection

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