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A Game Theoretical Pricing Scheme for Vehicles in Vehicular Edge computing

A Game Theoretical Pricing Scheme for Vehicles in Vehicular ...

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international conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Chaogang Tang Chunsheng Zhu Huaming Wu Xianglin Wei Qing Li Joel J. P. C. Rodrigues School of Computer Science and Technology China University of Mining and Technology Xuzhou China Mine Digitization Engineering Research Center of the Ministry of Education China University of Mining and Technology Xuzhou China SUSTech Institute of Future Networks Southern University of Science and Technology Shenzhen China PCL Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China Center for Applied Mathematics Tianjin University Tianjin China The 63rd Research Institute National University of Defense Technology Changsha China The Hong Kong Polytechnic University Hong Kong Federal University of Piauí Teresina - Pi Brazil Instituto de Telecomunicações Portugal

ISBN: (数字)9781728199160

ISBN: (纸本)9781728192369

Vehicular edge computing (VEC) brings the computing resources to the edge of the networks and thus provisions better computing services to the vehicles in terms of response latency. Meanwhile, the edge server can earn their revenues by leasing the computing resources. However, a higher price does not always bring forth more benefits for the edge server in VEC, since it may discourage vehicles from renting more computing resources from VEC. To the best of our knowledge, few of previous works have focused on the real-time pricing problem for VEC. We investigate in this paper the pricing problem from the viewpoints of both vehicles and the edge server, so as to optimize the utility values and revenues of vehicles and the edge server, respectively. We resort to the Stackelberg game for modeling the interactions between vehicles and edge server, and a distributed algorithm for this pricing problem is proposed in the paper. Experimental results have displayed the efficiency and effectiveness of the proposed algorithm.

关键词： Computational modeling Pricing Games Sensors Servers distributed algorithms Edge computing

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A Literature Review On Sentiment Analysis Techniques Involving Social Media Platforms

A Literature Review On Sentiment Analysis Techniques Involvi...

引用

international conference on Parallel distributed and Grid computing (PDGC)

作者： Samarth Garg Divyansh Singh Panwar Aakansha Gupta Rahul Katarya Delhi Technological University Delhi India

ISBN: (数字)9781728171326

ISBN: (纸本)9781728171333

Sentiment analysis refers to the active field of Natural language processing that extracts the attitude and emotion of a human being. With the growth of social media, more people are using online platforms such as Twitter, Facebook, Y ouTube, etc. to express their opinions. Twitter is considered to be the purest platform to express one's views. Mostly all personalities from diverse backgrounds use twitter. Therefore, it becomes a need of the hour to study public opinion. This provides us valuable information and helps organizations and governments to contemplate mass public opinion and take better decisions accordingly. In this review paper, an extensive and exhaustive guide to the subfield of Natural language processing (NLP), focusing precisely on sentiment analysis on twitter dataset, has been presented. It highlights three main approaches to analyze the sentiment. We have summarized and compared the approaches on different metrics opted by various researchers in the field of sentiment analysis using the twitter dataset. With so much active work in this field, this review paper would assist all future researchers.

关键词： Social networking (online) Blogs Sentiment analysis Feature extraction Support vector machines Random forests Radio frequency

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Block-SDoTCloud: Enhancing Security of Cloud Storage through Blockchain-based SDN in IoT Network

Block-SDoTCloud: Enhancing Security of Cloud Storage through...

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Sustainable Technologies for Industry 4.0 (STI), international conference on

作者： Anichur Rahman Md. Jahidul Islam Md. Saikat Islam Khan Sumaiya Kabir Ahmed Iqbal Pritom Md. Razaul Karim National Institute of Textile Engineering and Research (NITER) Green University of Bangladesh Mawlana Bhashani Science and Technology University

ISBN: (数字)9781665404891

ISBN: (纸本)9781665404907

Software Defined networking (SDN) and Blockchain (BC) are the most recent research trends in emerging technology. These technologies have currently been used in the IoT networking environment for various purposes, such as protection, stability, scalability, confidentiality, and so on. Such techniques can be used in this regard to effectively provide security, privacy, and confidentiality to cloud storage. In this paper, the authors proposed Block-SDoTCloud architecture to significantly enhance security within the cloud storage network. In order to give the cloud storage environment the requisite facilities, two leading technologies, i.e., SDN and Blockchain were applied. The centralized SDN controller provided the proposed model with tremendous reliability, versatility, and load balancing in one side while on the other hand, a distributed Blockchain created a deep trust between the transaction levels resulting into effective protection for the presented scheme. The efficiency of the proposed architecture is justified through close observation of simulation with a careful selection of relevant parameters.

关键词： Cloud computing Blockchain Computer architecture Stability analysis Security Software defined networking Load modeling

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Performance Analysis of Simulation System Based on Particle Swarm Optimization and distributed Genetic Algorithm for WMNs Considering Different Distributions of Mesh Clients 12th

Performance Analysis of Simulation System Based on Particle ...

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12th international conference on Innovative Mobile and Internet Services in Ubiquitous computing (IMIS)

作者： Barolli, Admir Sakamoto, Shinji Barolli, Leonard Takizawa, Makoto Aleksander Moisiu Univ Durres Dept Informat Technol L1 Rruga & Currilave Durres Albania Seikei Univ Dept Comp & Informat Sci 3-3-1 Kichij Kitamachi Musashino Tokyo 1808633 Japan Fukuoka Inst Technol Dept Informat & Commun Engn Higashi Ku 3-30-1 Wajiro Higashi Fukuoka 8110295 Japan Hosei Univ Fac Sci & Engn Dept Adv Sci Kajino Machi Koganei Tokyo 1848584 Japan

ISBN: (纸本)9783319935546;9783319935539

The Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they have many advantages such as low cost and increased high speed wireless Internet connectivity. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system, called WMN-PSO, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. In this paper, we implement a hybrid simulation system based on PSO and distributed GA (DGA), calledWMN-PSODGA. We analyze the performance of WMN-PSODGA by computer simulations considering different client distributions. Simulation results show that the WMN-PSODGA has good performance when the client distribution is Normal compared with the case of Exponential distribution.

关键词： Genetic algorithms

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A Blockchain-based Decentralized Data Sharing Infrastructure for Off-grid networking

A Blockchain-based Decentralized Data Sharing Infrastructure...

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IEEE international conference on Blockchain and Cryptocurrency (ICBC)

作者： Harris Niavis Nikolaos Papadis Venu Reddy Hanumantha Rao Leandros Tassiulas Yale University New Haven USA Tata Consultancy Services Clive IA USA Tata Consultancy Services Naperville IL USA

ISBN: (数字)9781728166803

ISBN: (纸本)9781728166810

Off-grid networks are recently emerging as a solution to connect the unconnected or provide alternative services to networks of possibly untrusted participants. The systems currently used, however, exhibit limitations due to their centralized nature and thus prove inadequate to secure trust. Blockchain technology can be the tool that will enable trust and transparency in such networks. In this paper, we introduce a platform for secure and privacy-respecting decentralized data sharing among untrusted participants in off-grid networks. The proposed architecture realizes this goal via the integration of existing blockchain frameworks (Hyperledger Fabric, Indy, Aries) with an off-grid network device and a distributed file system. We evaluate the proposed platform through experiments and show results for its throughput and latency, which indicate its adequate performance for supporting off-grid decentralized applications.

关键词： Fabrics Peer-to-peer computing distributed databases Internet Performance evaluation

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distributed Many-to-Many Protein Sequence Alignment using Sparse Matrices 20

Distributed Many-to-Many Protein Sequence Alignment using Sp...

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Supercomputing conference

作者： Oguz Selvitopi Saliya Ekanayake Giulia Guidi Georgios A. Pavlopoulos Ariful Azad Aydın Buluç Computational Research Division Lawrence Berkeley National Laboratory USA Microsoft Corporation USA University of California Berkeley USA BSRC “Alexander Fleming” 34 Fleming Street Institute for Fundamental Biomedical Research Vari Greece Indiana University USA

ISBN: (数字)9781728199986

ISBN: (纸本)9781728199993

Identifying similar protein sequences is a core step in many computational biology pipelines such as detection of homologous protein sequences, generation of similarity protein graphs for downstream analysis, functional annotation, and gene location. Performance and scalability of protein similarity search have proven to be a bottleneck in many bioinformatics pipelines due to increase in cheap and abundant sequencing data. This work presents a new distributed-memory software PASTIS. PASTIS relies on sparse matrix computations for efficient identification of possibly similar proteins. We use distributed sparse matrices for scalability and show that the sparse matrix infrastructure is a great fit for protein similarity search when coupled with a fully-distributed dictionary of sequences that allow remote sequence requests to be fulfilled. Our algorithm incorporates the unique bias in amino acid sequence substitution in search without altering basic sparse matrix model, and in turn, achieves ideal scaling up to millions of protein sequences.

关键词： Scalability Pipelines Memory management Protein sequence Supercomputers Software Sparse matrices

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16th IFIP WG 10.3 international conference on Network and Parallel computing, NPC 2019

16th IFIP WG 10.3 International Conference on Network and Pa...

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16th IFIP WG 10.3 international conference on Network and Parallel computing, NPC 2019

ISBN: (纸本)9783030307080

The proceedings contain 37 papers. The special focus in this conference is on international conference on Network and Parallel computing, NPC 2019. The topics include: High Performance DDoS Attack Detection System Based on Distribution Statistics;DDP-B: A distributed Dynamic Parallel Framework for Meta-genomics Binary Similarity;Optimal Resource Allocation Through Joint VM Selection and Placement in Private Clouds;a Parallel Multi-keyword Top-k Search Scheme over Encrypted Cloud Data;N-Docker: A NVM-HDD Hybrid Docker Storage Framework to Improve Docker Performance;MMSR: A Multi-model Super Resolution Framework;HiPower: A High-Performance RDMA Acceleration Solution for distributed Transaction Processing;LDAPRoam: A Generic Solution for Both Web-Based and Non-Web-Based Federate Access;characterizing Perception Module Performance and Robustness in Production-Scale Autonomous Driving System;Game-Based Multi-MD with QoS Computation Offloading for Mobile Edge computing of Limited Computation Capacity;Spindle: A Write-Optimized NVM Cache for Journaling File System;two-Erasure Codes from 3-Plexes;deep Fusion: A Software Scheduling Method for Memory Access Optimization;optimizing Data Placement on Hierarchical Storage Architecture via Machine Learning;i/O Optimizations Based on Workload Characteristics for Parallel File Systems;Energy Consumption of IT System in Cloud Data Center: Architecture, Factors and Prediction;Efficient Processing of Convolutional Neural Networks on SW26010;ADMMLIB: A Library of Communication-Efficient AD-ADMM for distributed Machine Learning;energy-Aware Resource Scheduling with Fault-Tolerance in Edge computing;DIN: A Bio-Inspired distributed Intelligence networking;KLSAT: An Application Mapping Algorithm Based on Kernighan–Lin Partition and Simulated Annealing for a Specific WK-Recursive NoC Architecture;A DAG Refactor Based Automatic Execution Optimization Mechanism for Spark.

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CRED: Credibility-Enabled Social Network Based Q&A System for Assessing Answers Correctness

CRED: Credibility-Enabled Social Network Based Q&A System fo...

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IEEE conference on Wireless Communications and networking

作者： Imad Ali Ronald Y. Chang Cheng-Hsin Hsu Taiwan International Graduate Program in Social Networks and Human-Centered Computing Institute of Information Science Academia Sinica Taipei Taiwan Research Center for Information Technology Innovation Academia Sinica Taipei Taiwan Department of Computer Science National Tsing Hua University Hsinchu Taiwan

ISBN: (数字)9781728131061

ISBN: (纸本)9781728131078

In a question & answer (Q& A) system, credible users provide answers of higher correctness. However, in a distributed social network based Q& A (SNQ& A) system, an asker does not know a k-hop answerer's credibility, thus making it difficult for the asker to assess the answer correctness. Therefore, a credibility-enabled distributed SNQ& A system is crucial for determining the correctness of the answers. To this end, we propose CRED, a credibility-enabled distributed SNQ& A system, which facilitates each user to assess the correctness of the provided answers. CRED utilizes subjective logic to build interestwise friend-to-friend credibility opinions under uncertainties. The developed opinions are then accumulated by CRED to get each user's aggregated credibility opinion, which may reflect the user's real credibility. CRED forwards a question to users with highest credibility beliefs in the question interest category. Our evaluation results show that, on average, CRED accomplishes higher success ratio, higher answer correctness, and lower answer uncertainty by 12.1%, 16.4%, and 22.2%, respectively, as compared to the best-performing baseline systems.

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Workshop 16: SNACS Scalable Networks for Advanced computing Systems

Workshop 16: SNACS Scalable Networks for Advanced Computing ...

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IEEE international Symposium on Parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： İlkay Altintas Dorian Arnold Martin Schulz Matthew G. F. Dosanjh Ryan E. Grant Taylor Groves San Diego Supercomputing Center Emory University Technical University of Munich Sandia National Laboratories Lawrence Berkeley National Laboratory

ISBN: (数字)9781728174457

ISBN: (纸本)9781728174570

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. The Workshop on Scalable Networks for Advanced computing Systems is a venue for discussions in the networks community that encompasses the full networks stack, ranging from high-level tools and interfaces, down to low-level hardware. The goal of this workshop is to bring together researchers to present research on the next-generation of large scale interconnects for scientific applications. In particular, our aim is to provide a venue for discussion of the full network stack from user level interfaces (i.e., MPI, PGAS) to the hardware level (i.e., network offload, hardware support for active messages, routing protocols). Workshop topics include: networks for exascale systems, networks for multi-facility workflows, new communication models and architectures for large scale systems, and network interface and hardware co-design.

关键词： Hardware distributed processing Distance measurement Tools Next generation networking

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A distributed Control System for Software Defined Wireless Sensor Networks through Containerisation

A Distributed Control System for Software Defined Wireless S...

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2019 international Multidisciplinary Information Technology and Engineering conference, IMITEC 2019

作者： Kobo, Hlabishi I. Abu-Mahfouz, Adnan M. Council for Scientific and Industrial Research Next Generation Enterprises and Institutions Pretoria South Africa Tshwane University of Technology Department of Electrical Engineering Pretoria0001 South Africa

ISBN: (纸本)9781728100401

Software-Defined networking and Network Function Virtualisation are gaining much prominence in the technological space. Major technologies are built on their principles. As their impact permeates, many architectural designs in networking, computing and storage have to be rethought because this affects the conventional way of running and deploying applications. The urge to save costs in this rapidly changing technological era, have operators continually searching for better methods. This paper extends the work previously conducted on Fragmentation-based distributed control system for Software-Defined Wireless Sensor Networks (SDWSN). The system entails a two-level architecture comprising local controllers and a global controller to overcome the geographical space between the infrastructure elements and the controller. This was in response for a better control system for SDWSNs, given their distinct nature. The paper explores different methods of infrastructure deployment for this model, contrasting virtual machines (VMs) and containers. The design of the Fragmentation model is such that the local controllers are lean and inexpensive. The evaluation shows that software containers are faster and more efficient as compared to the VMs and the infrastructure deployment method do contribute to the efficiency of the model. © 2019 IEEE.

关键词： Wireless sensor networks

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