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DynamiQ: A Tool for Dynamic Emulation of Networks

Razvan Beuran, Shingo Yasuda, Tomoya Inoue, Yuuki Takano, Toshiyuki Miyachi, Yoichi Shinoda
2015 Proceedings of the 10th EAI International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities  
In this paper we present the network emulation module named dynamiQ that makes possible the dynamic emulation of networks.  ...  The evaluation of dynamiQ in this context shows that no significant performance penalties occur because of its dynamic nature.  ...  Network emulation QOMET (Quality Observation and Mobility Experiment Tools) is a set of tools for network emulation targeting mainly wireless networks [1] .  ... 
doi:10.4108/icst.tridentcom.2015.259856 dblp:journals/sas/BeuranYITMS15 fatcat:ncugzoiztnfqdgbzyc3tbk3tv4

Towards an Interactive Experiment Framework: DynamiQ

Razvan Beuran, Shingo Yasuda, Tomoya Inoue, Yuuki Takano, Toshiyuki Miyachi, Yoichi Shinoda
2015 Proceedings of the 10th EAI International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities  
This framework uses the network emulation module named dynamiQ for the dynamic emulation of networks.  ...  The demonstration uses a scenario with up to 55 emulated nodes, out of which 30 nodes form an emulated vehicular network and 5 are static buildings.  ...  For a detailed description see the companion paper at TridentCom 2015 entitled "Dy-namiQ: A Tool for Dynamic Emulation of Networks".  ... 
doi:10.4108/icst.tridentcom.2015.259857 dblp:journals/eetcs/BeuranYITMS15 fatcat:efdresynmndzpmw4mxlx3tp5jy

DynamiQ: Planning for Dynamics in Network Streaming Analytics Systems [article]

Rohan Bhatia, Arpit Gupta, Rob Harrison, Daniel Lokshtanov, Walter Willinger
2021 arXiv   pre-print
This paper presents the design and implementation of DynamiQ, a new network streaming analytics platform that employs dynamic query planning to deal with the dynamics of real-world input workloads.  ...  The emergence of programmable data-plane targets has motivated a new hybrid design for network streaming analytics systems that combine these targets' fast packet processing speeds with the rich compute  ...  Military Academy, the Department of the Army, the Department of Defense, or the U.S. Government.  ... 
arXiv:2106.05420v1 fatcat:x3ehfpw3erev3n4yfjfbaee6qu

BluMoon: Bluetooth Low Energy Emulator for Software Testing

Tsubasa Yumura, Kunio Akashi, Tomoya Inoue, Yasuo Tan
2021 Sensors and materials  
However, it is difficult to build a test environment for testing with physical machines because of installation costs.  ...  In this paper, we propose a BLE emulator called BluMoon for testing software systems using BLE.  ...  Acknowledgments We are grateful to the staff of NICT StarBED, the member of Tan and Lim laboratory, and Dr. Yuuki Takano for supporting and discussing our research.  ... 
doi:10.18494/sam.2021.2986 fatcat:yql4ltilmnfapnwzmraxavn37i

Energy Efficient Computing Systems: Architectures, Abstractions and Modeling to Techniques and Standards [article]

Rajeev Muralidhar and Renata Borovica-Gajic and Rajkumar Buyya
2020 arXiv   pre-print
This survey aims to bring these domains together and is composed of a systematic categorization of key aspects of building energy efficient systems - (a) specification - the ability to precisely specify  ...  We have now entered the era of domain-specific architectures for new workloads like AI and ML.  ...  This comprises of a network of voltage/frequency converters, a switch network and a controller that can dynamically route power to different areas of the chip to realize fine-grained (zone-specific) voltage  ... 
arXiv:2007.09976v2 fatcat:enrfj2qgerhyteapwykxcb5pni

Characterizing and Predicting Scientific Workloads for Heterogeneous Computing Systems [article]

Beau Johnston, University, The Australian National, University, The Australian National
2019
We next present the Architecture Independent Workload Characterization (AIWC) tool which characterizes OpenCL kernels according to a set of archi [...]  ...  Characteristics of these programs are fixed regardless of which accelerator is used for computation; for instance, a graph traversal program always exhibits the properties of graph traversal regardless  ...  Values for a new application are provided to a neural network at runtime to predict a scaling curve and corresponding estimates around the performance and power of the application under different GPU configurations  ... 
doi:10.25911/5d514864c9002 fatcat:exk5ocg4nncp3ktubvqkyjnzxa