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distributed DNN Serving in the Network Data Plane 5

Distributed DNN Serving in the Network Data Plane

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5th international Workshop on P4 in Europe (EuroP4) Part of 18th international conference on Emerging Networking Experiments and technologies (ACM CoNEXT)

作者： Razavi, Kamran Karlos, George Nigade, Vinod Muhlhauser, Max Wang, Lin Tech Univ Darmstadt Darmstadt Germany Vrije Univ Amsterdam Amsterdam Netherlands

ISBN: (纸本)9781450399357

Programmable networks have received tremendous attention recently. Apart from exciting network innovations, in-network computing has been explored as a means to accelerate a variety of distributed systems concerns, by leveraging programmable network devices. In this paper, we extend in-network computing to an important class of applications called deep neural network (DNN) serving. In particular, we propose to run DNN inferences in the network data plane in a distributed fashion and make our programmable network a powerful accelerator for DNN serving. We demonstrate the feasibility of this idea through a case study with a real-world DNN on a typical data center network architecture.

关键词： programmable networks in-network computing DNN serving

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Lightweight distributed Ledger Technology and Consensus Algorithms for D2D Communication 4th

Lightweight Distributed Ledger Technology and Consensus Algo...

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4th international conference on Advanced Network technologies and Intelligent computing-ANTIC-Annual

作者： Kumari, Richa Singh, Kushall Pal Jangir, Sandeep Tyagi, Dinesh Kumar Battula, Ramesh Babu Malaviya Natl Inst Technol Jaipur Rajasthan India

ISBN: (纸本)9783031837821;9783031837838

Device-to-device (D2D) communication is an emerging technology in Beyond-5G (B5G) networks, offering seamless connections and energy-efficient communication. However, D2D communication faces significant security challenges, including data protection, user privacy, and efficient resource sharing and management. distributed ledger technology (DLT) has emerged as a promising solution to address these concerns by preserving anonymity, context privacy, and data secrecy in mobile D2D communications. Additionally, DLT incentivizes honest D2D users to share resources through reward mechanisms. this research paper presents the type of DLT and explains the benefits and application of DAG-based DLT in D2D communication. Furthermore, a comprehensive analysis and comparison of consensus algorithms is provided, along with the implementation of one DAG-based DLT tailored by the proof-of-context (PoC) and proof-of-equipment (PoE) consensus algorithms. the reputation score of D2D users is identified to enhance the efficiency and reliability of the D2D communication network.

关键词： B5G network D2D communication Blockchain DAG-based distributed Ledger Technology

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An Advanced Healthcare System Where internet of things meets Brain-Computer Interface using Event-Related Potential 23

An Advanced Healthcare System Where Internet of Things meets...

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24th international conference on distributed computing and Networking (ICDCN)

作者： Parui, Sricheta Samanta, Debasis Chakravorty, Nishant IIT Kharagpur ATDC Kharagpur W Bengal India IIT Kharagpur Dept CSE Kharagpur W Bengal India IIT Kharagpur SMST Kharagpur W Bengal India

ISBN: (纸本)9781450397964

To make the world more advanced we are trying to improve several things and one of them is the internet of things. the real-world object can be turned into an intelligent one by using this technology and nowadays it's collaborating with many other technologies to bring a smarter solution to any real-world problems. Brain-Computer Interface is another big buzzword in the research industry that drew attention by converting brain signals into a command through which the human mind can decode or encode any command. No need to say that both of the aforementioned technology has the power to change the world within seconds. It has been noticed that the interface between the two technology is complicated but possible. Any IoT device can receive any kind of neuro signal and decode them to receive any information and if this happens we may imply this technology for the advancement of healthcare. this study focuses on the improvement of the healthcare system through the collaboration of the Brain-Computer Interface and the internet of things in order to create a smart system such as locking the door, turning on the light, or an alarm system for an emergency call. In this regard, the visual P300 potential looks to be well-suited for controlling smart homes via BCI spellers. In a real smart home scenario, 10 participants with 5 neuro-degenerative illnesses and 5 normal people were employed. the user experience while doing BCI tasks was assessed by monitoring contemporaneous physiological signals. For offline and real-time processing modes, the average accuracy was 82.93% and 82.68% respectively. Our findings indicate that the IoT speed is sufficient for a BCI real-time system in the instance under consideration.

关键词： BCI IoT ERP P300 EEG ICA IT2FS

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Towards 5G, 6G and 7G Sustainable and Potential Applications Using Blockchain: Comparative Analysis and Prospective Challenges∗ 4

Towards 5G, 6G and 7G Sustainable and Potential Applications...

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4th international conference on computing, Mathematics and Engineering technologies, iCoMET 2023

作者： Iftikhar, Umna Anwer, Misbah Butt, Ramzan Ahmed, Ghufran Karachi Institute of Economics and Technology College of Computing and Information Sciences Karachi Pakistan National University of Computer and Emerging Sciences - Fast Department of Computer Science Karachi Pakistan

ISBN: (纸本)9798350335316

the internet of things (IoT) turns pervasive computing into a reality of connected everything. IoT connects billions of devices for rapid information sharing, specifically in 5G and 6G but it creates significant issues in privacy, transparency, and security. Blockchain has proved to be adaptive and useful for many applications, including those in the automobile sector. the aim of Industry 4.0 is to improve performance while sustaining quality under cost. the paper presents the existing survey of 5G, 6G, and 7G along with blockchain. the study proposes the architecture of 6G and an overview of the challenges and possible applications of blockchain using 5G, 6G, and 7G © 2023 IEEE.

关键词： internet of things

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Computation Offloading for Industrial internet of things: A Cooperative Approach 19

Computation Offloading for Industrial Internet of Things: A ...

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19th IEEE international Wireless Communications and Mobile computing (IEEE IWCMC)

作者： Chouikhi, Samira Esseghir, Moez Merghem-Boulahia, Leila Univ Technol Troyes Comp Sci & Digital Soc LIST3N Lab Troyes France

ISBN: (纸本)9798350333398

the term "Industrial internet of things" (IIoT) was created to describe a specific area of the internet of things (IoT) that integrates Information and Communication technologies (ICT) like cloud/edge computing, wireless sensor/actuator networks, connected objects, etc. to enable and accelerate the development of industry 4.0. Industry standards for IoT device connectivity and operation set it apart. A few of the properties of Industrial IoT include its high levels of resilience, communication availability, enormous data collecting, security, accuracy, automation, and interoperability. IIoT is also used for complicated task delegation, data-driven decision-making, and remote control of equipment. the IIoT applications also have various levels of criticality and quality of service requirements. Hence, it is very challenging to respect the specificity of each application and guarantee the required QoS. In this paper, we offload computationally demanding tasks to edge and cloud servers with stronger computational capabilities. Our suggested model tries to maximize the number of tasks completed before their tolerant deadlines while minimizing each IIoT device's energy consumption. Furthermore, we introduce a distributed cooperative game that enables each device to choose whether to offload its tasks or locally execute them based on task completion and energy consumption. We demonstrate the existence of the Nash equilibrium by demonstrating that the proposed game is a weighted potential game. We also propose a practical implementation of the game using a distributed mechanism. Finally, we evaluate the proposal using simulation to show the benefits of computation offloading in terms of latency and energy consumption.

关键词： Computation offloading cloud-edge computing Industrial internet of things game theory cooperative game

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Emerging technologies of Industry 4.0: Challenges and Opportunities 5

Emerging Technologies of Industry 4.0: Challenges and Opport...

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5th international conference on Artificial Intelligence, Big Data, computing and Data Communication Systems (ICABCD)

作者： Okwu, Modestus O. Tartibu, Lagouge K. Maware, Catherine Enarevba, Dolor Roy Afenogho, Justice O. Essien, Aniekan Univ Johannesburg Dept Mech & Ind Engn Tech Johannesburg South Africa Univ Kentucky Inst Res Technol Dept IR4TD Ctr Mfg Bd 220D Lexington KY 40506 USA Oregon State Univ Coll Engn Corvallis OR USA Fed Univ Petr Resources Effurun Dept Mech Engn Delta Nigeria Univ Glasgow James Watt Sch Engn James Watt South Bldg Glasgow Lanark Scotland

ISBN: (数字)9781665484220

ISBN: (纸本)9781665484220

Industry 4.0 is beyond change and transformation but a comprehensive revolution that accelerates scientific and technological progress, which has led to great functionality of emerging technologies in which the artificial intelligence (AI), internet of things (IoT) and other supporting technologies serve as backbones for upgrading industrial chains. these have gained popularity over the years and known for far-reaching transformation, especially where complex systems`are involved. they are known for synchronization and speed in the new digitalization era and globalized milieu. However, developing countries are still besieged in terms of meeting up with the current technologies. this article is an exposition to the emerging technologies of the fourth industrial revolution. the first section of this study gives a brief overview of Industry 4.0. Secondly, the emerging technologies of Industry 4.0 are further discussed, which include the internet of things, blockchain, Fifth Generation Wireless Communications technologies (5G), 3D Printing, biometrics, Virtual and Augmented Reality, Big data, Cloud computing, Biometrics, Nanotechnology, biotechnology, smart factory, and others are discussed. Finally, the challenges and opportunities of the industry 4.0 technologies are discussed. the findings of this review would be beneficial to strategic, and operational experts in industries, academia, stakeholders and government. Electronic document is a "live" template and already defines the components of your paper [title, text, heads, etc.] in its style sheet.

关键词： fourth industrial revolution (4IR) internet of things (IOT) smart machines globalization artificial intelligence

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internet of things in health care system: Cloud computing Review 5

Internet of things in health care system: Cloud Computing Re...

引用

5th international conference on Engineering Technology and its Applications, IICETA 2022

作者： Jassim, Dhuha Ajil Hreshee, Saad Saffah Babylon University Electrical Department Babylon Iraq

ISBN: (纸本)9781665472159

internet of things (IoT) offers a seamless platform to connect people and objects to one another for enriching and making our lives easier. this vision carries us from compute-based centralized schemes to a more distributed environment offering a vast amount of applications such as smart wearables, smart home, smart mobility, and smart cities. management of huge amount data such as reports and images of every person leads to increase the human efforts and security risks. therefore, security should be at the staple of outlook in IoT elucidations. In this paper, we present review on the cloud based computing in the healthcare environment, we classified the previous work based on their functionality and design architecture. © 2022 IEEE.

关键词： internet of things

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Edge computing and distributed Ledger Technology for the Industrial IoT 11

Edge Computing and Distributed Ledger Technology for the Ind...

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11th IEEE international conference on Intelligent computing and Information Systems, ICICIS 2023

作者： Abo-Soliman, Mohamed Ahmed Shabaan, Eman Al-Qutt, Mirvat Emara, Kareem Ain Shams University Computer Systems Department Cairo Egypt

ISBN: (纸本)9798350322101

the tremendous increase in implementing IoT devices for critical infrastructures yells for higher performance and robust protection. Traditional cloud based IoT architecture is unsuitable for delay-sensitive or real-time applications and lacks the robust security needed by industrial systems. thus, new technologies are introduced to endorse the industry's digital transformation. Edge computing greatly satisfies required performance while distributed Ledger Technology (DLT) mitigates potential data compromises. this work proposes an integrated four layers architecture based on Edge computing and DLT that provides efficient computing, security, and scalability. Edge computing handles transmission delay and scalability issues, while DLT handles data validation and trust. A lightweight DLT model is introduced to enable faster data commitment and better networking. the model incorporates two main features: a new grouping technique that enables network segmentation reducing network complexity. the second technique dynamically optimizes resource-utilization by adjusting DLT requirements according to the hardware capabilities of each participating node. © 2023 IEEE.

关键词： internet of things

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SMART UTIL: Utility Bill Management and Usage Analysis for Sustainable Lifestyle 5

SMART UTIL: Utility Bill Management and Usage Analysis for S...

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5th international conference on Advancements in computing, ICAC 2023

作者： Rajapaksha, Sandaruwan Perera, Lihini Amanda, Nethmi Liyanage, Mihiranga Samarakoon, Uthpala Amarasena, Nelum Sri Lanka Institute of Information Technology Faculty of Computing Malabe Sri Lanka

ISBN: (纸本)9798350358131

In light of the escalating demand for efficient resource management and user empowerment, this research project addresses a pressing challenge in Sri Lanka by harnessing the potential of mobile and IoT technologies. the primary objective is to develop a smartphone application that revolutionizes user experience and consumer control across diverse businesses. By seamlessly integrating real-time data collection through energy monitoring sensors and Arduino micro controllers, the app encourages energy-saving behaviors among users. A user-friendly interface provides easy access to consumption patterns, empowering homeowners to monitor daily water usage, detect leaks, and receive alerts for anomalous trends using strategically positioned water flow sensors. the software not only offers personalized recommendations for minimizing data consumption but also introduces a Data Pool feature that facilitates the purchase and sale of unused data, thereby addressing underutilized data bundles. Employing advanced machine learning algorithms, the application anticipates users' future data requirements, optimizing data utilization. Moreover, the software assists in effective financial management by categorizing monthly expenditures, issuing real-time alerts, and enabling automated payment mechanisms to prevent late fees. By fostering efficient resource management, this project aspires to empower users with the tools for sustainable and responsible resource utilization, transcending traditional boundaries. © 2023 IEEE.

关键词： internet of things

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Enhancing the QoS in Intelligent 5G Enabled IoT using Novel Convolutional Neural Network and Blockchain-Empowered Security Framework 15

Enhancing the QoS in Intelligent 5G Enabled IoT using Novel ...

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15th international conference on computing Communication and Networking technologies, ICCCNT 2024

作者： Darshini, Jeya Nagaraju, V. Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Dept of Cse Chennai India

ISBN: (纸本)9798350370249

this study aims to enhance the Quality of Service (QoS) in 5G- empowered intelligent internet of things (IoT) networks by deploying Convolutional Neural Networks (CNNs) compared with Dense Deep Neural Networks (DDNNs). the study utilized a total sample size of 5840 collected from Kaggle repository. With a G Power having 80% value of α being 0.05% and β value 0.02% and a 95% confidence interval, the algorithms have been split into two groups of 20 iterations, with 10 iterations per group. Group 1 consists of Novel Convolutional Neural Networks and Group 2 consists of Dense Deep Neural Networks. the Dense Deep Neural Network's accuracy is 75.13% compared to 81.27% using a convolutional neural network. this study has found that statistically there is no statistical significance variation among the study groups over a difference of 0.405 (P>0.05). this study thus confirms that using CNN provides better accuracy in QoS than deep reinforcement. © 2024 IEEE.

关键词： 5G-Enabled internet of things Blockchain Framework Dense Deep Neural Network Intrusion Detection Network Infrastructure Novel Convolutional Neural Network

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