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Data Driven Wireless Network Design: A Multi-level Modeling Approach

Carolina Fortuna, Eli De Poorter, Primož Škraba, Ingrid Moerman
2016 Wireless personal communications  
One such method is data driven multi-level analysis that uses the monitoring data collected from real-world networks to provide detailed insight, at several levels and/or scales, into the system behavior  ...  The contributions of this paper are (1) the use of data driven multi-level analysis for understanding the behaviour of wireless networks and (2) the identification of open challenges and directions for  ...  Acknowledgments We would like to acknowledge Tomaz Š olc for sharing the data collected by the LOGa-TEC wireless testbed monitoring system.  ... 
doi:10.1007/s11277-016-3242-8 fatcat:e26vwn4kyfapjcc5jcaquglqcq

Autonomics for grid systems and applications

Manish Parashar
2008 Proceedings of the third international workshop on Use of P2P, grid and agents for the development of content networks - UPGRADE '08  
., using history) • Identify "slack" available of in-transit data processing, queuing • Minimizes storage and processing requirements at end points LLC Controller Design for Data Streaming • Key  ...  interval. % Network throughput is difference between the max and current network transfer rate %Buffer Occupancy @ In-Transit Nodes w & w/o Coupling • %Buffer occupancy at in-transit nodes before congestion  ... 
doi:10.1145/1384209.1384211 dblp:conf/hpdc/Parashar08 fatcat:63ooiyp3f5bwbdnrz3xtw2wh5e

Antler: A multi-tiered approach to automated wireless network management

Ramya Raghavendra, Prashanth Aravinda Kumar Acharya, Elizabeth M. Belding, Kevin C. Almeroth
2008 IEEE INFOCOM 2008 - IEEE Conference on Computer Communications Workshops  
Management of a large scale wireless network, be it an infrastructured WLAN or a metro-scale mesh network, presents several challenges.  ...  Troubleshooting problems related to wireless access in these networks requires a comprehensive set of metrics and network monitoring data.  ...  ACKNOWLEDGMENTS This work is supported in part by NSF Wireless Networks award CNS-07220275 and a grant from Intel Corporation.  ... 
doi:10.1109/infocom.2008.4544662 fatcat:sxg22x4yorfafcjfdgjzqrvmuy

Electric-field-driven resistive transition in multiferroic SrCo_2Fe_16O_27/Sr_3Co_2Fe_24O_41composite [article]

Shubhankar Mishra, Chandan K. Ghosh, Aditi Sahoo, Dipten Bhattacharya, Suchandal Mondal, P. Mandal
2021 arXiv   pre-print
The ρ(E,T) follows universal scaling only at LRS within 10-110 K but not at higher temperature or at HRS.  ...  We report observation of electric-field-driven resistive transition at a characteristic threshold field E_th(T) across a temperature range 10-200 K in an off-stoichiometric composite of ( 80 vol hexaferrites  ...  The data corresponding to HRS exhibit transitions only at T 1 ≈ 25 K and T 3 ≈ 110 K.  ... 
arXiv:2112.06246v1 fatcat:hfxyasfufzcbhib2p6ujlrhymi

Integrated Approach in Systems Biology

Huiru Zheng, Rui Jiang, Zhongming Zhao
2014 Computational and Mathematical Methods in Medicine  
The potential topics include (i) large-scale or cross-species data integration for the reconstruction of networks and pathways; (ii) genomic data analysis using systems biology approaches; (iii) quantitative  ...  scales.  ...  We would like to acknowledge the organizers and committee members of The Fourth International Workshop on Integrative Data Analysis in Systems Biology (IDASB 2013, in conjunction with IEEE Conference on  ... 
doi:10.1155/2014/656473 pmid:25628754 pmcid:PMC4297625 fatcat:6w67ie5vhzcajmupvcfkbc5oh4

Self-Organization in Networks: A Data-Driven Koopman Approach [article]

Claudia Caro-Ruiz, Duvan Tellez-Castro, Andres Pavas, Eduardo Mojica-Nava
2017 arXiv   pre-print
In this paper, we study local patterns near regime shifts in Network Synchronization and Self-Organized Criticality (SOC) by a Koopman spectrum data-driven approach.  ...  Networks out of equilibrium display dynamics characterized by multiple equilibria and sudden transitions.  ...  By approach this problem the use of data-driven techniques would be an alternative for the analysis and identification of these patterns.  ... 
arXiv:1709.09576v1 fatcat:uw2y5vtq4ferrkki6g6axbcmpu

Leveraging advances in mobile broadband technology to improve environmental sustainability

Holger Claussen, Lester T. W. Ho, Florian Pivit
2009 Telecommunications Journal of Australia  
These mechanisms differ fundamentally in terms of the placement of SLEEP mode control in the network, which can be either at the small cell, in the core network, or driven by the user equipment (UE).  ...  Three different strategies for algorithm control are discussed, relying on small cell driven, core network driven, and user equipment driven approaches.  ... 
doi:10.2104/tja09004 fatcat:yez4wkok4zayxi5wpwwa3sljdq

SLEEP mode techniques for small cell deployments

Imran Ashraf, Federico Boccardi, Lester Ho
2011 IEEE Communications Magazine  
These mechanisms differ fundamentally in terms of the placement of SLEEP mode control in the network, which can be either at the small cell, in the core network, or driven by the user equipment (UE).  ...  Three different strategies for algorithm control are discussed, relying on small cell driven, core network driven, and user equipment driven approaches.  ... 
doi:10.1109/mcom.2011.5978418 fatcat:zjxo5egp6ncunhcwwozwhvvypq

Curiosity-Driven Recommendation Strategy for Adaptive Learning via Deep Reinforcement Learning [article]

Ruijian Han, Kani Chen, Chunxi Tan
2019 arXiv   pre-print
Given intrinsic rewards from a well-designed predictive model, we apply the actor-critic method to approximate the policy directly through neural networks.  ...  In this paper, a curiosity-driven recommendation policy is proposed under the reinforcement learning framework, allowing for a both efficient and enjoyable personalized learning mode.  ...  Since we conduct the experiments on synthetic data, the true knowledge state can be obtained at T .  ... 
arXiv:1910.12577v1 fatcat:a2cfqxf62zgqzed7syu2i5ci34

Building DARPA's Brain

William C. Regli
2017 IEEE Intelligent Systems  
and synthesize them at scale.  ...  Now imagine a chemist who can use computational tools and vast reservoirs of chemistry data to design and synthesize at scale complex molecules that feature predetermined high-level functional properties  ... 
doi:10.1109/mis.2017.3121558 fatcat:ecqmcbqsijegrliorolixrgxz4

Emergence of a finite-size-scaling function in the supervised learning of the Ising phase transition [article]

Dongkyu Kim, Dong-Hee Kim
2020 arXiv   pre-print
We show that just one free parameter is capable enough to describe the data-driven emergence of the universal finite-size-scaling function in the network output that is observed in a large neural network  ...  We investigate the connection between the supervised learning of the binary phase classification in the ferromagnetic Ising model and the standard finite-size-scaling theory of the second-order phase transition  ...  purpose in a data-driven way.  ... 
arXiv:2010.00351v1 fatcat:uvz5j7jidbbn7e2qxhf2mqexoe

Redesign of Curricula in Transit Systems Planning to Meet Data-Driven Challenges

Adrian Lorion, Matthew J. Harvey, Joseph Y. J. Chow
2015 Journal of professional issues in engineering education and practice  
A case study of a sample teaching module for transit systems planning in the Greater Toronto Area is presented with guidelines to teach 1) models of data-driven flexible transit services; 2) technologies  ...  to integrate and visualize user and systems data; and 3) methodologies to evaluate demand for such services at a societal level.  ...  Introduction The skills needed to manage, plan, operate, and design an urban public transit system are rapidly changing due to the rapid pace of data-driven technologies and, subsequently, the proliferation  ... 
doi:10.1061/(asce)ei.1943-5541.0000223 fatcat:isvubegxv5cifhv6yulkcjctou

Workload and network-optimized computing systems

D. P. LaPotin, S. Daijavad, C. L. Johnson, S. W. Hunter, K. Ishizaki, H. Franke, H. D. Achilles, D. P. Dumarot, N. A. Greco, B. Davari
2010 IBM Journal of Research and Development  
This system transition is driven by semiconductor physics and emerging network-application requirements.  ...  We highlight the advantages of on-chip network optimization that enables efficient computation and new services at the network edge of the data center.  ...  Today, Ethernet connectivity at the network edge is at 1-Gb/s per link and is in transition to 10 Gb/s.  ... 
doi:10.1147/jrd.2009.2036972 fatcat:ztnerui2rrg5jjftlbdwvuwcoy

Mechanistic Data Science for Modeling and Design of Aerospace Composite Materials [article]

Satyajit Mojumder, Lei Tao, Ying Li, Wing Kam Liu
2021 arXiv   pre-print
that can be further used for the part scale composite design and analysis.  ...  This hierarchical structure in multiple length scales provides an opportunity for designing the composite materials for optimized properties.  ...  The data-driven design of high performance polymer matrices will lay a solid foundation for the data-driven design of aerospace composite materials. Fig 4.  ... 
arXiv:2112.00968v1 fatcat:c33brgofpvennjzgko6itm4pbq

Multiscale Governance [article]

David Pastor-Escuredo, Philip Treleaven
2021 arXiv   pre-print
Coordinating top-down agencies with bottom-up constructs will be the design principle.  ...  The emerging fragility or robustness of the system will depend on how this complex network of systems is governed.  ...  Multi-disciplinary research and innovation is required to develop data-driven governance at all scales.  ... 
arXiv:2104.02752v1 fatcat:u53kihkdr5detfvwwfksqlymwa
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