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Concurrent Wireless Cut-Through Forwarding: Ultra-Low Latency Multi-Hop Communication for the Internet of Things

Concurrent Wireless Cut-Through Forwarding: Ultra-Low Latenc...

引用

international conference on distributed computing in Sensor Systems (DCOSS)

作者： Nicolas Himmelmann Dingwen Yuan Lars Almon Matthias Hollick Secure Mobile Networking Lab TU Darmstadt Germany

ISBN: (数字)9781728143514

ISBN: (纸本)9781728198040

Achieving low latency remains a challenge in today's industrial Internet of Things (IoT) applications, particularly if operated over wireless multi-hop networks. One idea that can distinctly reduce the multi-hop latency is the so-called cut-through forwarding, i.e., a node starts relaying a packet after it has only received a fraction of it by leveraging two radios. This paper proposes the novel concurrent wireless cut-through (CWCT) protocol based on a prototype design which combines two off-the- shelf IoT devices. To improve reliability and eliminate routing overhead, CWCT applies concurrent transmission and Golay error correction coding. Evaluation on a controlled topology and on a medium-size testbed shows the large reduction in latency of CWCT compared to Glossy and the high synchronicity of concurrent transmission. To further improve packet reliability, we need to reduce the out-of-band leakage.

关键词： Wireless communication Protocols Reliability Interference IEEE 802.15 Standard Wireless sensor networks Throughput

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Securing distributed SDN Controller Network from Induced DoS Attacks 8

Securing Distributed SDN Controller Network from Induced DoS...

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8th IEEE international conference on Cloud computing in Emerging Markets, CCEM 2019

作者： Shravanya, G. Swati, N.H. Rustagi, Ram P. Sharma, Oshin Department of Computer Science and Engineering PES University Bengaluru India Department of Computer Science and Engineering KS Institute of Technology Bengaluru India

ISBN: (纸本)9781728163345

With the escalation in security breaches on organizations and institutions that store, maintain and work with critical data, there is a need for a security-enhancing and risk-mitigating solution that works on the fly and is feasible to implement. Software Defined Networks is a networking paradigm that makes the network agile by disaggregating hardware and software. SDN helps enhance security with the help of micro-segmentation. The controller maintains a central view of the network, and its ability to monitor and store network information helps optimize routing. The centralization nature of the controller makes it vulnerable to DoS attacks which can be catastrophic for network functioning. The objective of this paper is to secure the distributed SDN controller architecture against DoS attacks. The proposed architecture is robust, scalable, and uses Big Data techniques to process streams of network traffic in real-time and Machine Learning to detect and mitigate DoS attacks. © 2019 IEEE.

关键词： Denial-of-service attack

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Research on Data Protection Algorithm Based on Social Network

Research on Data Protection Algorithm Based on Social Networ...

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international conference on distributed computing Systems

作者： Yuanhu Yang Jing Hu Yusi Yang School of Computer and Information Engineering Hubei Normal University Huangshi China School of Computer Wuhan Qingchuan University Wuhan China Engineering College Nanjing Agricultural University Nanjing China

ISBN: (数字)9781728170022

ISBN: (纸本)9781728170039

In a social network, it needs to protect the network data effectively. To improve the security and privacy protection ability of the network data, a social network data protection algorithm is proposed based on dynamic cyclic encryption and link equilibrium configuration. The architecture model and routing control protocol of mobile social network are constructed. The mixed recommended values of user behavior attribution data of social network are calculated, and the data encryption in social network is realized by using sub-key random amplitude modulation method. The dynamic cyclic encryption algorithm is used to encrypt and transmit the data and the adaptive equalization scheduling of the data output of the social network is carried out by using the link equalization configuration method to improve the protection ability in the process of data transmission. The simulation results show that the proposed algorithm has good encryption ability, and the ability of data storage and transmission is improved.

关键词： Social networking (online) Heuristic algorithms Data protection Adaptive equalizers Dynamic scheduling Routing Encryption

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Twitter Sentiment Analysis During Unlock Period of COVID-19

Twitter Sentiment Analysis During Unlock Period of COVID-19

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international conference on Parallel distributed and Grid computing (PDGC)

作者： Swati Sharma Aryaman Sharma Jaypee Institute of Information Technology Noida Noida India Netaji Subhash Institute of Technology Delhi India

ISBN: (数字)9781728171326

ISBN: (纸本)9781728171333

The pandemic has hit the individuals at both personal, social and professional front triggering emotional crisis leading to stress, anxiety and other related problems. However, some countries are now easing down on restrictions by going from lock down to unlocking in a phased manner. As life springs back to action the sentiments and emotions of people are bound to change. It therefore becomes imperative to understand the emotions and sentiments of people after seven months of outbreak when the people are more informed about the nature of disease, steps for prevention and also have hope for a vaccine coming up in near future. The study analyses the sentiments of the people from the USA and India by text mining using R Studio. The study has various implications for academicians as it adds to the existing knowledge pool. The findings provide guidance to the policy makers to tailor their support policies in response to the emotional state of their people and also assists the marketers to tailor the communication strategies in the light of the emotional state of the target market.

关键词： Pandemics COVID-19 Blogs Social networking (online) Sentiment analysis Resilience Data mining

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Microscheduling and Randomization Strategies in distributed and Cloud computing

Microscheduling and Randomization Strategies in Distributed ...

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international Science and Technology conference (Modern networking Technologies) (MoNeTeC)

作者： Victor Toporkov Dmitry Yemelyanov National Research University “MPEI” Moscow Russia

ISBN: (数字)9781728182681

ISBN: (纸本)9781728182698

In this work, we study heuristic and randomized approaches for parallel jobs execution in high performance computing environments with heterogeneous resources. Traditional process of a job-flow scheduling implies many requirements for jobs execution criteria and priority and, thus, usually cannot be changed. However, special microscheduling heuristics may be used in such scenarios as a secondary optimization based on the primary scheduling procedure. Coordinated and randomized microscheduling approaches simulate different strategies for the whole job queue scheduling in order to select the most resource-efficient scenarios. Based on a conservative backfilling scheduling procedure we study how different resources allocation heuristics affect integral job-flow scheduling characteristics in a dedicated simulation environment.

关键词： Processor scheduling Resource management Optimization Computational modeling Job shop scheduling Biological system modeling Task analysis

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Hidden Markov Model Spectrum Predictor for Poisson distributed Traffic

Hidden Markov Model Spectrum Predictor for Poisson Distribut...

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IEEE international conference on Wireless and Mobile computing, networking And Communications (WiMob)

作者： Rodrigo F. Bezerra Jacir L. Bordim Marcus V. Lamar Marcos F. Caetano University of Brasília Brasília – DF Brazil

ISBN: (数字)9781728197227

ISBN: (纸本)9781728197234

Static spectrum allocation policies allied with the increasing demand for higher data rates stimulated the pursuit of alternative spectrum allocation strategies. In this context, Opportunistic Spectrum Access (OSA) has been considered an alternative to allow licensed portions of the spectrum to be shared with unlicensed users. OSA requires unlicensed users to identify unused portions of the spectrum for opportunistic access that minimizes possible interference with the licensed users. Accurate mechanisms to avoid interference and improve the spectrum usage is highly desirable. This work investigates the performance of a traditional Hidden Markov Model (HMM) predictor where the licensed traffic follows a Poisson distribution. The results show that, under the evaluated settings, traditional HMM predictor can improve spectrum usage up to 15% at the expense of a high rate (≈ 50%) of inaccurate forecasts of idle periods. Based on these results, this paper proposes two techniques to optimize prediction performance and reduce inaccurate forecasts rate. Using the proposed enhancements inaccurate forecasts rate was reduced to only 6%. An additional benefit was observed when reducing collision with the licensed user, that is an improvement in the amount of slots effectively used by the unlicensed users from 15% to 23%.

关键词： Hidden Markov models Training Sensors Wireless communication Mobile computing Predictive models Artificial neural networks

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HPC as a Service: A naive model 8

HPC as a Service: A naive model

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8th international conference on Information and Communication Technologies (ICICT)

作者： Imran, Hamza Ali Wazir, Saad Ikram, Ahmed Jamal Ikram, Ataul Aziz Ullah, Hanif Ehsan, Maryam FAST Natl Univ Comp & Emerging Sci EPIC Lab Islamabad Pakistan Riphah Int Univ Islamabad Pakistan Univ Gujrat Informat Technol Dept Gujrat Pakistan

ISBN: (纸本)9781728123349

Applications like Big Data, Machine Learning, Deep Learning and even other Engineering and Scientific research requires a lot of computing power;making High-Performance computing (HPC) an important field. But access to Supercomputers is out of range from the majority. Nowadays Supercomputers are actually clusters of computers usually made-up of commodity hardware. Such clusters are called Beowulf Clusters. The history of which goes back to 1994 when NASA built a Supercomputer by creating a cluster of commodity hardware. In recent times a lot of effort has been done in making HPC Clusters of even single board computers (SBCs). Although the creation of clusters of commodity hardware is possible but is a cumbersome task. Moreover, the maintenance of such systems is also difficult and requires special expertise and time. The concept of cloud is to provide on-demand resources that can be services, platform or even infrastructure and this is done by sharing a big resource pool. Cloud computing has resolved problems like maintenance of hardware and requirement of having expertise in networking etc. An effort is made of bringing concepts from cloud computing to HPC in order to get benefits of cloud. The main target is to create a system which can develop a capability of providing computing power as a service which to further be referred to as Supercomputer as a service. A prototype was made using Raspberry Pi (RPi) 3B and 3B+ Single Board Computers. The reason for using RPi boards was increasing popularity of ARM processors in the field of HPC

关键词： High Performance computing Single Board Computers Raspberry Pi Portable Cluster Educational Arm-based micro-cluster Cloud computing HPCaaS Message Passing Interface MPI4py Parallel & distributed computing

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A Multi-Vehicle Cooperative Routing Method Based on Evolutionary Game Theory

A Multi-Vehicle Cooperative Routing Method Based on Evolutio...

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IEEE Intelligent Transportation Systems conference (IEEE-ITSC)

作者： Lu, Jiawei Li, Jinglin Yuan, Quan Chen, Bo Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China

ISBN: (纸本)9781538670248

Increasing number of vehicles is making congestion problem become more and more deteriorate. This problem could be alleviated by route planning which guides vehicles to routes with small traffic flows to get the shortest travel time. However, the existing route planning algorithms mostly focus on one single vehicle and overlook the coordination among vehicles. If all vehicles follow the same routing recommendation, a large traffic volume will flow into the same route and cause congestion on that route. That makes the routing method ineffective. To resolve this problem, a distributed cooperative routing algorithm (DCR) based on evolutionary game theory is proposed to coordinate vehicles. This method runs on roadside units (RSUs) with combination of edge computing and edge intelligence. A road network is built to evaluate the performance of proposed algorithm. The experiment results show that the proposed DCR algorithm balances the distribution of traffic flow and in the same time makes the total travel time from origin to destination smaller.

关键词： distributed control cooperative route planning evolutionary game theory

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Proceedings - 2019 IEEE 25th international conference on Embedded and Real-Time computing Systems and Applications, RTCSA 2019

Proceedings - 2019 IEEE 25th International Conference on Emb...

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25th IEEE international conference on Embedded and Real-Time computing Systems and Applications, RTCSA 2019

ISBN: (纸本)9781728131979

The proceedings contain 25 papers. The topics discussed include: stack memory requirements of AUTOSAR/OSEK-compliant scheduling policies;automatic generation of hierarchical contracts for resilience in cyber-physical systems;managing industrial communication delays with software-defined networking;code generation for multi-phase tasks on a multi-core distributed memory platform;EDF-based mixed-criticality scheduling with graceful degradation by bounded lateness;scheduling shared data acquisition for real-time decision making;temporal and spatial routing for large scale safe and connected UAS traffic management in urban areas;and an environmental-adaptive Wi-Fi localization approach with low start-up cost for the exhibition industry.

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Automated Multi-Swarm networking with Open Baton NFV MANO Framework 24th

Automated Multi-Swarm Networking with Open Baton NFV MANO Fr...

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international European conference on Parallel and distributed computing (Euro-Par)

作者： Shin, Jun-Sik de Brito, Mathias Santos Magedanz, Thomas Kim, JongWon Gwangju Inst Sci & Technol GIST EECS Gwangju South Korea Fraunhofer FOKUS NGNI Berlin Germany Univ Estadual Santa Cruz DCET Ilheus BA Brazil

ISBN: (纸本)9783030105495;9783030105488

Container-based Network Functions Virtualization (NFV) and multi-site/multi-cluster service orchestration are a critical topic in the field of ICT infrastructure. Academia, Industry and Open Source projects are actively working on the technology. With the trends, Open Baton, an implementation of the ETSI NFV MANO Reference Architecture, started efforts to orchestrate network services over multiple Docker Swarm clusters. To achieve that, Open Baton would require an additional feature to configure an overlay networking over multiple swarm clusters, since Docker Swarm does not support multi-cluster service. In this paper, we discuss our design and implementation of the Multi-Swarm networking Helper in Open Baton, which configures an L2 overlay networking over multiple Docker Swarm clusters by leveraging on a third-party Docker networking driver.

关键词： Multi-cluster networking Container networking Service orchestration with NFV MANO

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