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- research-articleSeptember 2023
Distributed non-negative RESCAL with automatic model selection for exascale data
- Manish Bhattarai,
- Namita kharat,
- Ismael Boureima,
- Erik Skau,
- Benjamin Nebgen,
- Hristo Djidjev,
- Sanjay Rajopadhye,
- James P. Smith,
- Boian Alexandrov
Journal of Parallel and Distributed Computing (JPDC), Volume 179, Issue CSep 2023https://doi.org/10.1016/j.jpdc.2023.04.010AbstractWith the boom in the development of computer hardware and software, social media, IoT platforms, and communications, there has been exponential growth in the volume of data produced worldwide. Among these data, relational datasets are ...
Graphical abstract Highlights- The first distributed RESCAL implementation to estimate latent features.
- ...
- research-articleDecember 2009
SessionSim: activity-based session generation for network simulation
WSC '09: Winter Simulation ConferenceDecember 2009, Pages 3169–3180We present SessionSim, a tool for generating realistic communication sessions such as phone calls, http and email data traffic. Realistic data traffic is a crucial requirement to gauge the realism of any larger communication network simulation study. ...
- ArticleDecember 2006
Multi-scale integrated information and telecommunications system (MIITS): first results from a large-scale end-to-end network simulator
WSC '06: Proceedings of the 38th conference on Winter simulationDecember 2006, Pages 2132–2139Performing realistic simulations of Internet packet traffic on a national or global level is a daunting task from both the modeling and the computational perspective. We present the MIITS (Multi-scale Integrated Information and Telecommunications System)...
- articleAugust 2005
Parametric probabilistic routing in sensor networks
Mobile Networks and Applications (MNET), Volume 10, Issue 4August 2005, Pages 529–544Motivated by realistic sensor network scenarios that have mis-informed nodes and variable network topologies, we propose an approach to routing that combines the best features of limited-flooding and information-sensitive path-finding protocols into a ...
- ArticleMarch 2005
Probabilistic multi-path vs. deterministic single-path protocols for dynamic ad-hoc network scenarios
SAC '05: Proceedings of the 2005 ACM symposium on Applied computingMarch 2005, Pages 1166–1173https://doi.org/10.1145/1066677.1066939We investigate the performance of different protocol stacks under various application scenarios. Our method of choice is a full-fledged simulation in QualNet, testing the complete protocol stack over fairly large-scale networks. We find that the ...
- ArticleMarch 2005
Maneuverable Relays to Improve Energy Efficiency in Sensor Networks
PERCOMW '05: Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications WorkshopsMarch 2005, Pages 411–417https://doi.org/10.1109/PERCOMW.2005.44We propose a hybrid model to alleviate the notorious problem of premature battery depletion in sensor networks: in a first stage, simple sensors are deployed over an area of interest using any traditional method, in a second phase, more powerful relays ...
- ArticleApril 2004
A Spatial Analysis of Mobility Models: Application to Wireless Ad Hoc Network Simulation
- D. Charles Engelhart,
- Anand Sivasubramaniam,
- Christopher L. Barrett,
- Madhav V. Marathe,
- James P. Smith,
- Monique Morin
ANSS '04: Proceedings of the 37th annual symposium on SimulationApril 2004, Page 35We quantatively analyze the differences between a realisticmobility model, TRANSIMS, and several synthetic mobilitymodels. New synthetic models were created by modifyingthe standard random way point model in several waysin an attempt to make it more ...
- articleJanuary 2004
A mobility and traffic generation framework for modeling and simulating ad hoc communication networks
Scientific Programming (SCIP), Volume 12, Issue 1January 2004, Pages 1–23https://doi.org/10.1155/2004/921065We present a generic mobility and traffic generation framework that can be incorporated into a tool for modeling and simulating large scale ad~hoc networks. Three components of this framework, namely a mobility data generator (MDG), a graph structure ...
- ArticleSeptember 2003
Parametric probabilistic sensor network routing
WSNA '03: Proceedings of the 2nd ACM international conference on Wireless sensor networks and applicationsSeptember 2003, Pages 122–131https://doi.org/10.1145/941350.941368Motivated by realistic sensor network scenarios that have misinformed nodes and variable network topologies, we propose a fundamentally different approach to routing that combines the best features of limited-flooding and information-sensitive path-...
- ArticleMarch 2002
A mobility and traffic generation framework for modeling and simulating ad hoc communication networks
SAC '02: Proceedings of the 2002 ACM symposium on Applied computingMarch 2002, Pages 122–126https://doi.org/10.1145/508791.508816We present a generic mobility and traffic generation framework that can be incorporated into a tool for modeling and simulating large scale ad hoc networks. The basic framework consists of the following components:1. A Mobility Data Generator (MDG) that ...