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Joint searches by FACT, H.E.S.S., MAGIC and VERITAS for VHE gamma-ray emission associated with neutrinos detected by IceCube 38

Joint searches by FACT, H.E.S.S., MAGIC and VERITAS for VHE ...

引用

38th international Cosmic Ray conference, ICRC 2023

作者： Schüssler, Fabian Ashkar, H. Bernardini, E. Berti, A. Bradascio, F. Buson, S. Dorner, D. Jin, W. Kukec Mezek, G. Santander, M. Satalecka, K. Schleicher, B. Senniappanh, M. Viale, I. Abhir, J. Baack, D. Balbo, M. Biland, A. Brand, K. Bretz, T. Buss, J. Eisenberger, L. Elsaesser, D. Günther, P. Hildebrand, D. Mannheim, K. Noethe, M. Paravac, A. Rhode, W. Sliusar, V. Hasan, S. Walter, R. Aharonian, F. Ait Benkhali, F. Alkan, A. Aschersleben, J. Backes, M. Baktash, A. Barbosa Martins, V. Barnacka, A. Barnard, J. Batzofin, R. Becherini, Y. Beck, G. Berge, D. Bernlöhr, K. Bi, B. Böttcher, M. Boisson, C. Bolmont, J. de Bony de Lavergne, M. Borowska, J. Bouyahiaoui, M. Breuhaus, M. Brose, R. Brown, A. Brun, F. Bruno, B. Bulik, T. Burger-Scheidlin, C. Bylund, T. Cangemi, F. Caroff, S. Casanova, S. Cecil, R. Celic, J. Cerruti, M. Chambery, P. Chand, T. Chandra, S. Chen, A. Chibueze, J. Chibueze, O. Collins, T. Cotter, G. Cristofari, P. Damascene Mbarubucyeye, J. Davids, I.D. Davies, J. de Jonge, L. Devin, J. Djannati-Ataï, A. Dmytriiev, A. Doroshenko, V. Dreyer, L. Du Plessis, L. Egberts, K. Einecke, S. Ernenwein, J.-P. Fegan, S. Feijen, K. de Clairfontaine, G. Fichet Fontaine, G. Lott, F. Füßling, M. Funk, S. Gabici, S. Gallant, Y.A. Ghafourizadeh, S. Giavitto, G. Giunti, L. Glawion, D. Glicenstein, J.F. Glombitza, J. Goswami, P. Grolleron, G. Grondin, M.-H. Haerer, L. Hattingh, S. Haupt, M. Hermann, G. Hinton, J.A. Hofmann, W. Holch, T.L. Holler, M. Horns, D. Huang, Zhiqiu Jaitly, A. Jamrozy, M. Jankowsky, F. Jardin-Blicq, A. Joshi, V. Jung-Richardt, I. Kasai, E. Katarzynski, K. Katjaita, H. Khangulyan, D. Khatoon, R. Khélifi, B. Klepser, S. Kluzniak, W. Komin, Nu Konno, R. Kosack, K. Kostunin, D. Kundu, A. Lamanna, G. Lang, R.G. Le Stum, S. Lefranc, V. Leitl, F. Lemière, A. Lemoine-Goumard, M. Lenain, J.-P. Leuschner, F. Luashvili, A. Lypova, I. Mackey, J. Malyshev, D. III. Physikalisches Institut RWTH Aachen University AachenD-52056 Germany Department of Physics University of Adelaide AdelaideSA5005 Australia Dept. of Physics and Astronomy University of Alaska Anchorage 3211 Providence Dr. AnchorageAK99508 United States Dept. of Physics University of Texas at Arlington 502 Yates St. Science Hall Box 19059 ArlingtonTX76019 United States CTSPS Clark-Atlanta University AtlantaGA30314 United States School of Physics Center for Relativistic Astrophysics Georgia Institute of Technology AtlantaGA30332 United States Dept. of Physics Southern University Baton RougeLA70813 United States Dept. of Physics University of California BerkeleyCA94720 United States Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Institut für Physik Humboldt-Universität zu Berlin BerlinD-12489 Germany Fakultät für Physik & Astronomie Ruhr-Universität Bochum BochumD-44780 Germany Université Libre de Bruxelles Science Faculty CP230 BrusselsB-1050 Belgium Dienst ELEM BrusselsB-1050 Belgium Department of Physics Laboratory for Particle Physics and Cosmology Harvard University CambridgeMA02138 United States Dept. of Physics Massachusetts Institute of Technology CambridgeMA02139 United States Dept. of Physics The International Center for Hadron Astrophysics Chiba University Chiba263-8522 Japan Department of Physics Loyola University Chicago ChicagoIL60660 United States Dept. of Physics and Astronomy University of Canterbury Private Bag 4800 Christchurch New Zealand Dept. of Physics University of Maryland College ParkMD20742 United States Dept. of Astronomy Ohio State University ColumbusOH43210 United States Dept. of Physics Center for Cosmology and Astro-Particle Physics Ohio State University ColumbusOH43210 United States Niels Bohr Institute University of Copenhagen CopenhagenDK-2100 Denmark Dept. of Physics TU Dortmund University DortmundD-44221 Germany Dept. of Physics and Astronomy

The sources of the astrophysical flux of high-energy neutrinos detected by IceCube are still largely unknown, but searches for temporal and spatial correlation between neutrinos and electromagnetic radiation are a promising approach in this endeavor. All major imaging atmospheric Cherenkov telescopes (IACTs) - FACT, H.E.S.S., MAGIC, and VERITAS - operate an active follow-up program of target-of-opportunity observations of neutrino alerts issued by IceCube. These programs use several complementary neutrino alert streams. A publicly distributed alert stream is formed by individual high-energy neutrino candidate events of potentially astrophysical origin, such as IceCube-170922A (which could be linked to the flaring blazar TXS 0506+056). A privately distributed alert stream is formed by clusters of neutrino events in time and space around either pre-selected gamma-ray sources or anywhere in the sky. Here, we present joint searches for multi-wavelength emission associated with a set of IceCube alerts, both private and public, received through mid-January 2021. We will give an overview of the programs of the participating IACTs. We will showcase the various follow-up and data analysis strategies employed in response to the different alert types and various possible counterpart scenarios. Finally, we will present results from a combined analysis of the VHE gamma-ray observations obtained across all involved instruments, as well as relevant multi-wavelength data. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Cosmic rays

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distributed Ledger Technologies for M2M Communications 33

Distributed Ledger Technologies for M2M Communications

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33rd international conference on Information networking (ICOIN)

作者： Zivic, Natasa Ruland, Christoph Sassmannshausen, Jochen Carmeq GmbH Berlin Germany Univ Siegen Siegen Germany

ISBN: (纸本)9781538683507

distributed Ledger Technologies (DLT) are seen as data bases of the future, which reduce the cost of trust and revolutionize transactions between individuals, companies and governments. They are considered as one of the main drivers of future applications, especially in field of Machine to Machine (M2) communications which are one of the basic technologies for Internet of Things (IoT). Therefore, distributed Ledger Technologies with their inherent property to provide security, privacy and decentralized operation are engine for todays and future reliable, autonomous and trusted IoT platforms. For this reason, IoT using DLT can be considered as "Internet of Trusted Things". This paper considers tree basic DLT technologies according to their architecture: blockchain, tangle and hashgraph. Their characteristics are compared considering number of criteria, with the aim to find a proper architecture for a specific M2M application.

关键词： distributed Ledger Technology Internet of Things Machine-to-Machine transactions Proof of Work Proof of Stake stability trust blockchain tangle hashgraph hash function digital signature directed acyclic graph consensus algorithm mining Winternitz signatures IOTA Bitcoin Byzantine error quantum computing

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Poster: SeamFarm - distributed Data Analytic for Precision Agriculture based on Seamless computing 19

Poster: SeamFarm - Distributed Data Analytic for Precision A...

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25th Annual international conference on Mobile computing and networking (MobiCom)

作者： Kim, Da-Hye Ramli, Muhammad Rusyadi Lee, Jae-Min Kim, Dong-Seong Kumoh Natl Inst Technol Dept IT Convergence Engn Gumi South Korea

ISBN: (纸本)9781450361699

This work proposes a framework for distributed data analytic for precision agriculture based on seamless computing paradigm named SeamFarm. Generally, heterogeneous nodes deployed for precision agriculture where these nodes generated an extensive amount of data. Then machine learning can be used to analyze this data for precision agriculture. However, most of the IoT devices are resource-constrained devices, which results in poor performance while conducting a machine learning task. Thus, in SeamFarm, we consider distributing the data as well as the task to all available nodes. The results show that SeamFarm can meet all of the functional and non-functional requirements of distributed data analytic for precision agriculture. Moreover, it can obtain faster data analytic results.

关键词： distributed computing data analytic precision agriculture seamless computing

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Accelerating DNN Inference by Edge-Cloud Collaboration

Accelerating DNN Inference by Edge-Cloud Collaboration

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IEEE international conference on Performance, computing and Communications (IPCCC)

作者： Jianan Chen Qi Qi Jingyu Wang Haifeng Sun Jianxin Liao The State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781665443326

Deep neural networks (DNN) have become indispensable tools for intelligent applications today. The demand for deploying DNN on the edge devices increases dramatically. Unfortunately, it is challenging because the DNN inference is computation-intensive, but edge devices are always resource-constraint. Prior solutions attempted to address these challenges with collaboration between cloud and edge devices, but they do not take the inference request rate into account. However, the inference delay will increase dramatically while the request rate becomes *** this paper, we propose a scheme to dynamic partition DNN into two or three parts and distribute them at the edge and cloud, achieving the lowest delay with the change of request rate. The scheme selects the optimal partition points of DNN with a layer evaluation model (LEM) and a total delay prediction model (DPM) under different request rates. The experiments of distributed deploying AlexNet, VGG, NiN and ResNet DNN models on image classification dataset ImageNet show that the proposed scheme significantly reduces the total end-to-end latency by fully using both the edge and cloud resources. It reduces the inference delay by 1.3 to 1.6 times and improves the throughput 1.2 to 1.7 times compared to the state of art partition approach.

关键词： Performance evaluation Art Neural networks Collaboration Predictive models Parallel processing Throughput

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An improved infrastructure for the IceCube realtime system 38

An improved infrastructure for the IceCube realtime system

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38th international Cosmic Ray conference, ICRC 2023

作者： Abbasi, R. Ackermann, M. Adams, J. Agarwalla, S.K. Aguilar, J.A. Ahlers, M. Alameddine, J.M. Amin, N.M. Andeen, K. Anton, G. Argüelles, C. Ashida, Y. Athanasiadou, S. Axani, S.N. Bai, X. Balagopal, A.V. Baricevic, M. Barwick, S.W. Basu, V. Bay, R. Beatty, J.J. Becker Tjus, J. Beise, J. Bellenghi, C. Benning, C. BenZvi, S. Berley, D. Bernardini, E. Besson, D.Z. Blaufuss, E. Blot, S. Bontempo, F. Book, J.Y. Boscolo Meneguolo, C. Böser, S. Botner, O. Böttcher, J. Bourbeau, E. Braun, J. Brinson, B. Brostean-Kaiser, J. Burley, R.T. Busse, R.S. Butterfield, D. Campana, M.A. Carloni, K. Carnie-Bronca, E.G. Chattopadhyay, S. Chau, N. Chen, C. Chen, Z. Chirkin, D. Choi, S. Clark, B.A. Classen, L. Coleman, A. Collin, G.H. Connolly, A. Conrad, J.M. Coppin, P. Correa, P. Cowen, D.F. Dave, P. De Clercq, C. DeLaunay, J.J. Delgado, D. Deng, S. Deoskar, K. Desai, A. Desiati, P. de Vries, K.D. de Wasseige, G. DeYoung, T. Diaz, A. Díaz-Vélez, J.C. Dittmer, M. Domi, A. Dujmovic, H. DuVernois, M.A. Ehrhardt, T. Eller, P. Ellinger, E. El Mentawi, S. Elsässer, D. Engel, R. Erpenbeck, H. Evans, J. Evenson, P.A. Fan, K.L. Fang, K. Farrag, K. Fazely, A.R. Fedynitch, A. Feigl, N. Fiedlschuster, S. Finley, C. Fischer, L. Fox, D. Franckowiak, A. Fritz, A. Fürst, P. Gallagher, J. Ganster, E. Garcia, A. Gerhardt, L. Ghadimi, A. Glaser, C. Glauch, T. Glüsenkamp, T. Goehlke, N. Gonzalez, J.G. Goswami, S. Grant, D. Gray, S.J. Gries, O. Griffin, S. Griswold, S. Groth, K.M. Günther, C. Gutjahr, P. Haack, C. Hallgren, A. Halliday, R. Halve, L. Halzen, F. Hamdaoui, H. Ha Minh, M. Hanson, K. Hardin, J. Harnisch, A.A. Hatch, P. Haungs, A. Helbing, K. Hellrung, J. Henningsen, F. Heuermann, L. Heyer, N. Hickford, S. Hidvegi, A. Hill, C. Hill, G.C. Hoffman, K.D. Hori, S. Hoshina, K. Hou, W. Huber, T. Hultqvist, K. Hünnefeld, M. Hussain, R. Hymon, K. In, S. Ishihara, A. Jacquart, M. Janik, O. Jansson, M. Japaridze, G.S. Jeong, M. III. Physikalisches Institut RWTH Aachen University AachenD-52056 Germany Department of Physics University of Adelaide Adelaide5005 Australia Dept. of Physics and Astronomy University of Alaska Anchorage 3211 Providence Dr. AnchorageAK99508 United States Dept. of Physics University of Texas at Arlington 502 Yates St. Science Hall Rm 108 Box 19059 ArlingtonTX76019 United States CTSPS Clark-Atlanta University AtlantaGA30314 United States School of Physics Center for Relativistic Astrophysics Georgia Institute of Technology AtlantaGA30332 United States Dept. of Physics Southern University Baton RougeLA70813 United States Dept. of Physics University of California BerkeleyCA94720 United States Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Institut für Physik Humboldt-Universität zu Berlin BerlinD-12489 Germany Fakultät für Physik & Astronomie Ruhr-Universität Bochum BochumD-44780 Germany Université Libre de Bruxelles Science Faculty CP230 BrusselsB-1050 Belgium Dienst ELEM BrusselsB-1050 Belgium Department of Physics Laboratory for Particle Physics and Cosmology Harvard University CambridgeMA02138 United States Dept. of Physics Massachusetts Institute of Technology CambridgeMA02139 United States Dept. of Physics The International Center for Hadron Astrophysics Chiba University Chiba263-8522 Japan Department of Physics Loyola University Chicago ChicagoIL60660 United States Dept. of Physics and Astronomy University of Canterbury Private Bag 4800 Christchurch New Zealand Dept. of Physics University of Maryland College ParkMD20742 United States Dept. of Astronomy Ohio State University ColumbusOH43210 United States Dept. of Physics Center for Cosmology and Astro-Particle Physics Ohio State University ColumbusOH43210 United States Niels Bohr Institute University of Copenhagen CopenhagenDK-2100 Denmark Dept. of Physics TU Dortmund University DortmundD-44221 Germany Dept. of Physics and Astro

The IceCube realtime alert system has been operating since 2016. It provides prompt alerts on high-energy neutrino events to the astroparticle physics community. The localization regions for the incoming direction of neutrinos are published through NASA’s Gamma-ray Coordinate Network (GCN). The IceCube realtime system consists of infrastructure dedicated to the selection of alert events, the reconstruction of their topology and arrival direction, the calculation of directional uncertainty contours and the distribution of the event information through public alert networks. Using a message-based workflow management system, a dedicated software (SkyDriver) provides a representational state transfer (REST) interface to parallelized reconstruction algorithms. In this contribution, we outline the improvements of the internal infrastructure of the IceCube realtime system that aims to streamline the internal handling of neutrino events, their distribution to the SkyDriver interface, the collection of the reconstruction results as well as their conversion into human- and machine-readable alerts to be publicly distributed through different alert networks. An approach for the long-term storage and cataloging of alert events according to findability, accessibility, interoperability and reusability (FAIR) principles is outlined. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： NASA

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A Constraint-Based Approach to Automatic Data Partitioning for distributed Memory Execution 19

A Constraint-Based Approach to Automatic Data Partitioning f...

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international conference for High Performance computing, networking, Storage and Analysis (SC)

作者： Lee, Wonchan Papadakis, Manolis Slaughter, Elliott Aiken, Alex Stanford Univ Stanford CA 94305 USA SLAC Natl Accelerator Lab Menlo Pk CA USA

ISBN: (数字)9781450362290

ISBN: (纸本)9781450362290

Although data partitioning is required to enable parallelism on distributed memory systems, data partitions are not first class objects in most distributed programming models. As a result, automatic parallelizers and application writers encode a particular partitioning strategy in the parallelized program, leading to a program not easily configured or composed with other parallel programs. We present a constraint-based approach to automatic data partitioning. By introducing abstractions for first-class data partitions, we express a space of correct partitioning strategies. Candidate partitions are characterized by partitioning constraints, which can be automatically inferred from data accesses in parallelizable loops. Constraints can be satisfied by synthesized partitioning code or user-provided partitions. We demonstrate that programs auto-parallelized in our approach are easily composed with manually parallelized parts and have scalability comparable to hand-optimized counterparts.

关键词： Auto-Parallelization Data Partitioning First-Class Data Partitions Partitioning Constraints

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Exploring the Galactic neutrino flux origins using IceCube datasets 38

Exploring the Galactic neutrino flux origins using IceCube d...

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38th international Cosmic Ray conference, ICRC 2023

Astrophysical neutrinos detected by the IceCube observatory can be of Galactic or extragalactic origin. The collective contribution of all the detected neutrinos allows us to measure the total diffuse neutrino Galactic and extragalactic signal. In this work, we describe a simulation package that makes use of this diffuse Galactic contribution information to simulate a population of Galactic sources distributed in a manner similar to our own galaxy. This is then compared with the sensitivities reported by different IceCube data samples to estimate the number of sources that IceCube can detect. We provide the results of the simulation that allows us to make statements about the nature of the sources contributing to the IceCube diffuse signal. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Galaxies

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The next generation neutrino telescope: IceCube-Gen2 38

The next generation neutrino telescope: IceCube-Gen2

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38th international Cosmic Ray conference, ICRC 2023

作者： Abbasi, R. Ackermann, M. Adams, J. Agarwalla, S.K. Aguilar, J.A. Ahlers, M. Alameddine, J.M. Amin, N.M. Andeen, K. Anton, G. Argüelles, C. Ashida, Y. Athanasiadou, S. Audehm, J. Axani, S.N. Bai, X. Balagopal, A.V. Baricevic, M. Barwick, S.W. Basu, V. Bay, R. Becker Tjus, J. Beise, J. Bellenghi, C. Benning, C. BenZvi, S. Berley, D. Bernardini, E. Besson, D.Z. Bishop, A. Blaufuss, E. Blot, S. Bohmer, M. Bontempo, F. Book, J.Y. Borowka, J. Boscolo Meneguolo, C. Böser, S. Botner, O. Böttcher, J. Bouma, S. Bourbeau, E. Braun, J. Brinson, B. Brostean-Kaiser, J. Burley, R.T. Busse, R.S. Butterfield, D. Campana, M.A. Carloni, K. Carnie-Bronca, E.G. Cataldo, M. Chattopadhyay, S. Chau, N. Chen, C. Chen, Z. Chirkin, D. Choi, S. Clark, B.A. Clark, R. Classen, L. Coleman, A. Collin, G.H. Conrad, J.M. Cowen, D.F. Dasgupta, B. Dave, P. Deaconu, C. De Clercq, C. De Kockere, S. DeLaunay, J.J. Delgado, D. Deng, S. Deoskar, K. Desai, A. Desiati, P. de Vries, K.D. de Wasseige, G. DeYoung, T. Diaz, A. Díaz-Vélez, J.C. Dittmer, M. Domi, A. Dujmovic, H. DuVernois, M.A. Ehrhardt, T. Eller, P. Ellinger, E. El Mentawi, S. Elsässer, D. Engel, R. Erpenbeck, H. Evans, J. Evans, J.J. Evenson, P.A. Fan, K.L. Fang, K. Farrag, K. Farrag, K. Fazely, A.R. Fedynitch, A. Feigl, N. Fiedlschuster, S. Finley, C. Fischer, L. Flaggs, B. Fox, D. Franckowiak, A. Fritz, A. Fujii, T. Fürst, P. Gallagher, J. Ganster, E. Garcia, A. Gerhardt, L. Gernhaeuser, R. Ghadimi, A. Giri, P. Glaser, C. Glauch, T. Glüsenkamp, T. Goehlke, N. Goswami, S. Grant, D. Gray, S.J. Gries, O. Griffin, S. Griswold, S. Guevel, D. Günther, C. Gutjahr, P. Haack, C. Haji Azim, T. Hallgren, A. Halliday, R. Hallmann, S. Halve, L. Halzen, F. Hamdaoui, H. Ha Minh, M. Hanson, K. Hardin, J. Harnisch, A.A. Hatch, P. Haugen, J. Haungs, A. Heinen, D. Helbing, K. Hellrung, J. Hendricks, B. Henningsen, F. Henrichs, J. Heuermann, L. Heyer, N. Hickford, S. Hidvegi, A. Hignight, J. Hill, C. III. Physikalisches Institut RWTH Aachen University AachenD-52056 Germany Department of Physics University of Adelaide Adelaide5005 Australia Dept. of Physics and Astronomy University of Alaska Anchorage 3211 Providence Dr. AnchorageAK99508 United States Dept. of Physics University of Texas at Arlington 502 Yates St. Science Hall Rm 108 Box 19059 ArlingtonTX76019 United States CTSPS Clark-Atlanta University AtlantaGA30314 United States School of Physics Center for Relativistic Astrophysics Georgia Institute of Technology AtlantaGA30332 United States Dept. of Physics Southern University Baton RougeLA70813 United States Dept. of Physics University of California BerkeleyCA94720 United States Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Institut für Physik Humboldt-Universität zu Berlin BerlinD-12489 Germany Fakultät für Physik & Astronomie Ruhr-Universität Bochum BochumD-44780 Germany Université Libre de Bruxelles Science Faculty CP230 BrusselsB-1050 Belgium Dienst ELEM BrusselsB-1050 Belgium Department of Physics Laboratory for Particle Physics and Cosmology Harvard University CambridgeMA02138 United States Dept. of Physics Massachusetts Institute of Technology CambridgeMA02139 United States Dept. of Physics The International Center for Hadron Astrophysics Chiba University Chiba263-8522 Japan Department of Physics Loyola University Chicago ChicagoIL60660 United States Dept. of Astronomy and Astrophysics University of Chicago ChicagoIL60637 United States Dept. of Physics University of Chicago ChicagoIL60637 United States Enrico Fermi Institute University of Chicago ChicagoIL60637 United States Kavli Institute for Cosmological Physics University of Chicago ChicagoIL60637 United States Dept. of Physics and Astronomy University of Canterbury Private Bag 4800 Christchurch New Zealand Dept. of Physics University of Maryland College ParkMD20742 United States Dept. of Astronomy Ohio Sta

The IceCube Neutrino Observatory, a cubic-kilometer-scale neutrino detector at the geographic South Pole, has reached a number of milestones in the field of neutrino astrophysics: the discovery of a high-energy astrophysical neutrino flux, the temporal and directional correlation of neutrinos with a flaring blazar, and a steady emission of neutrinos from the direction of an active galaxy of a Seyfert II type and the Milky Way. The next generation neutrino telescope, IceCube-Gen2, currently under development, will consist of three essential components: an array of about 10,000 optical sensors, embedded within approximately 8 cubic kilometers of ice, for detecting neutrinos with energies of TeV and above, with a sensitivity five times greater than that of IceCube;a surface array with scintillation panels and radio antennas targeting air showers;and buried radio antennas distributed over an area of more than 400 square kilometers to significantly enhance the sensitivity of detecting neutrino sources beyond EeV. This contribution describes the design and status of IceCube-Gen2 and discusses the expected sensitivity from the simulations of the optical, surface, and radio components. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Telescopes

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Entropy based mitigation of distributed-Denial-of-Service (DDoS) attack on Control Plane in Software-Defined-Network (SDN) 10

Entropy based mitigation of Distributed-Denial-of-Service (D...

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10th international conference on computing, Communication and networking Technologies (ICCCNT)

作者： Yadav, Sanjay Kumar Suguna, P. Velusamy, R. Leela Natl Inst Technol Comp Sci & Engn Tiruchirappalli 620015 India

ISBN: (纸本)9781538659069

SDN is new networking concept which has revolutionized the network architecture in recent years. It decouples control plane from data plane. Architectural change provides re- programmability and centralized control management of the network. At the same time it also increases the complexity of underlying physical infrastructure of the network. Unfortunately, the centralized control of the network introduces new vulnerabilities and attacks. Attackers can exploit the limitation of centralized control by DDoS attack on control plane. The entire network can be compromised by DDoS attack. Based on packet entropy, a solution for mitigation of DDoS attack provided in the proposed scheme.

关键词： SDN Data plane Control plane Centralized control DDoS Attack Vulnerabilities Mitigation Entropy

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Enabling Real-time Communications and Services in Heterogeneous Networks of Drones and Vehicles 15

Enabling Real-time Communications and Services in Heterogene...

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15th international conference on Wireless and Mobile computing, networking and Communications (WiMob)

作者： Radenkovic, Milena Vu San Ha Huynh John, Robert Manzoni, Pietro Univ Nottingham Nottingham NG8 1BB England Univ Politecn Valencia Camino Vera S-N E-46022 Valencia Spain

ISBN: (纸本)9781728133164

This paper describes the deployment of the Mobile Opportunistic Disconnection-Tolerant Networks and Systems platform in heterogeneous real-world scenarios. Our aim is to prototype and test fully-distributed multi-layer complex DTN forwarding and processing algorithms in different real-time dynamic topologies with varying mobility, network resources and data workload (publish-subscribe) patterns. In this work, we describe two different real-world contexts of mobile heterogeneous sensing and query in disconnection-prone environments: 1) networked drones and vehicles for agricultural monitoring applications and 2) vehicles and drone communications for smart city applications in urban environments. We discuss the performance characteristics of different mobile disconnection prone communication protocols and dynamic architectures across a range of criteria.

关键词： Disconnection tolerant networking mobile ad hoc networks prototypes wireless sensor networks

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