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Synergy between SSM and SAFE in sensor network information processing

Synergy between SSM and SAFE in sensor network information p...

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IEEE international conference on Industrial Informatics (INDIN)

作者： S. Sinha Z. Chaczko Engineering Faculty University of Technology Sydney Australia

With the onset of the internet the perception of computing systems in general has revolutionised. Areas of research have migrated from developing nodes to building networks - thus requiring the need for a variety of information processing techniques, such as clustering, classification, dependency modelling and others. However, the applications of sensor networks are yet to evolve in such proportions. Some of the primary constraints being the resources available in an embedded environment, the need to dynamically configure services to carry out a variety of tasks, communication interfaces and sensing and monitoring techniques. This paper discusses a holonic analysis to aid in mitigating ill-structured and often problematic situations that are often characterized by uncertainty in reasoning and the varying nature of relationships with associated elements. The proposed methodology is a synergy between the classic model derived from soft systems methodology (SSM) and the model of systemic analysis through familiar entities (SAFE). Development of an intelligent security system (ISS) has been considered to be an ideal test-bed for this synergy to go through the phases of problem definition and exploration, development of conceptual models and generation of insight to stimulate acceptable and feasible changes. The technical aspect of this system encompasses the mode of query processing and surveillance through a structured sensor network set up with the aid of distributed services and network protocols.

关键词： Information processing internet Monitoring Uncertainty Intelligent systems Security System testing Query processing Surveillance Sensor systems

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A Comparison of Various Task Scheduling Algorithm Using Cloudsim

A Comparison of Various Task Scheduling Algorithm Using Clou...

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Electrical Power Engineering, Communication and computing technology(ODICON), Odisha international conference on

作者： Padmaja Patel K. Murali Gopal Nimai Charn Patel Binod Kumar Sahu Department of CSE GIET University Gunupur Department of CDS SOA Deemed to be University Bhubaneswer Department of Electrical and Electronics Engineering NIT Sikkim Sikkim India Department of Electrical Engineering Sikhsa ‘O’ Anusandhan University Bhubaneswar India

ISBN: (数字)9798350354379

ISBN: (纸本)9798350354386

The term “cloud computing” refers to a large-scale, cost-effective distributed clustered computing paradigm in which users can access virtualize, platforms, manage scalable storage,computing power, and services as needed, via the internet. Through the use of hardware, systems software, and the internet, it offers applications as a service for data centres, that offer resources as a service. The job scheduling issue is a significant and challenging task in cloud computing. The primary goal of cloud computing service providers is to figure out how to utilise resources in the cloud effectively and earn profit as much as possible. High energy consumption results in significant operational costs, which lower cloud providers' profit margins, as well as high CO 2 emissions, which are unfriendly to the environment. Therefore, to reduce the negative effects of cloud computing on the environment, energy-efficient solutions are required. Because of this, the simulation tools are essential for both evaluating the functioning of the cloud and advancing cloud computing for the advancement of greener IT. The performance of the min-min, max-min, and suffrage scheduling algorithms are examined in this article, and CloudSim is used to provide a green approach for sustainable IT development.

关键词： Cloud computing Power engineering Energy consumption Scheduling algorithms Green products Minimax techniques Air pollution Hardware Energy efficiency System software

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Cloud distributed Optimal Control of ESS-PV Residential Inverters

Cloud Distributed Optimal Control of ESS-PV Residential Inve...

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Power Systems and Electrical technology (PSET), IEEE international conference on

作者： Byungchul Kim Eyad H. Abed Department of Electrical and Computer Engineering University of Maryland College Park USA

ISBN: (数字)9798350353204

ISBN: (纸本)9798350353211

Perfect power flow methods can be employed to choose which inverters will supply and determine their optimal real and reactive power settings based on financial goals. Utilizing advanced semidefinite relaxation make possible to work out with lessen calculation loads. Reflecting on the complex power inculcation originated by strong robustness and the high resilience of ESS-PV inverter, the steady state voltage security area (SSVSA) for inverter is created. The voltage expedition indicator for inverter is suggested to measure the voltage security limit between the security range and operation state. The suggested scheme balances beneficially to large distribution networks.

关键词： Cloud computing Voltage measurement Simulation Energy internet Inverters Robustness Steady-state Security Energy management systems Voltage control

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A Game Theoretic Approach for Modeling Composite Network-Cloud Service

A Game Theoretic Approach for Modeling Composite Network-Clo...

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Sentiment Analysis and Deep Learning (ICSADL), international conference on

作者： J John Shiny Department of Information Technology Velammal College of Engineering and Technology Madurai India

ISBN: (数字)9798350396157

ISBN: (纸本)9798350396164

Traditional way of computing required only stand-alone systems and applications. As time passed on, the amount of computing raised such that form the distributed platform for system and applications. That paved the way for distributed computing. Nowadays we talk about grid and cloud. Cloud computing is a model of computing in which the IT resources required by the end users are provided without any disruption and they are contented. The benefit of using cloud computing is to offer requested services of customer without any delay or interruption. This could be achieved by having good network services. The network which forms the backbone of the connectivity can be virtualized so that it leads to a novel epoch of integrating cloud computing and networking resources using Service Oriented Architecture paradigm. This article describes about a review of different systems that support network virtualization. This study lists out the challenges that are faced while converging cloud and network services. This study also proposes a theoretical model which involves game theory, that helps in realizing this convergence thus laying a foundation for upcoming generation internet. The game theory involves Nash Equilibrium in finding the best Infrastructure provider and Network Service Provider. Also, the best strategy among them is found for the user. Network calculus is extended to involve cloud service along with network services that helps in evaluating the composite service's performance.

关键词： Cloud computing Sentiment analysis Computational modeling Games Standardization Hardware Calculus

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An Innovative Smart and Sustainable Low-cost Irrigation System for Smallholder Farmers' Communities

An Innovative Smart and Sustainable Low-cost Irrigation Syst...

引用

international conference on Embedded & distributed Systems (EDiS)

作者： Amine Dahane Rabaie Benameur Bouabdellah Kechar Research Laboratory in Industrial Computing and Networks University of Oran 1 Oran Algeria

ISBN: (数字)9798350397543

ISBN: (纸本)9798350397550

The agricultural sector has several difficulties today in ensuring the safety of the food supply. However, the internet of Things (IoT) has recently come to light as a promising remedy with several cutting-edge uses in smart farming. The study presents the design and development of a low-cost and full-featured fog-IoT/AI system. The system has been created using open-source platforms that monitor agro-field data in real-time. However, the smallholder community is hesitant to adopt technology-based solutions. The PRIMA INTEL-IRRIS project aims to make digital and smart agricultural technologies more appealing and available to these communities by advancing the idea of intelligent irrigation “in-the-box” This study explains a low-cost fog-IoT/AI system of version 1.0 fully targeted toward smallholder farmer communities (SFCs) and how it may provide the notion of intelligent irrigation “in-the-box” concept.

关键词： Smart agriculture Irrigation Real-time systems Safety internet of Things Monitoring

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Implementing Blockchain and Smart Encryption for Immutable Purchase and Generates Digital Ownership Certificates

Implementing Blockchain and Smart Encryption for Immutable P...

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Artificial Intelligence For internet of Things (AIIoT), international conference on

作者： Arshdeep Singh Sodhi Sanjana Das Sathyapriya Loganathan Department of Computing Technologies School of Computing SRM Institute of Science and Technology Kattankulathur Chennai India

ISBN: (数字)9798350372120

ISBN: (纸本)9798350372137

Blockchain functions as a decentralized and distributed ledger technology, ensuring the secure recording and verification of transactions across a network of computers. It tackles trust, transparency, and resistance to tampering in conventional centralized systems by creating a clear and unalterable transaction record, eliminating the necessity for a central authority. Addressing trust-related challenges in transactions, Blockchain eliminates intermediaries, diminishes fraud risks through cryptographic security, and boosts transparency by establishing an immutable shared transaction history. The proposed system, built on a blockchain foundation, aims to securely and efficiently store purchase details by utilizing a duplicated and distributed digital ledger of transaction records across all participant computers in the network. Key features such as immutability, enhanced security through smart contracts and encryption, digital ownership certificates for authenticity verification, and a user-friendly search function contribute to the secure storage of purchase details. This innovative system extends the transformative impact of blockchain to the insurance industry, providing a decentralized alternative to counter centralization, inefficiency, and high costs. The result obtained enabling direct transactions between users and eliminating intermediaries, the system reduces frictional costs and enhances trust and transparency in insurance practices. This groundbreaking approach signifies a shift towards a more secure, efficient, and transparent future for both purchase record management and insurance processes, leveraging the full potential of blockchain technology.

关键词： Computers Resistance Costs Smart contracts Insurance Prototypes Blockchains

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Performance Measurements of Narrowband-IoT Network in Emulated and Field Testbeds

Performance Measurements of Narrowband-IoT Network in Emulat...

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IEEE international conference on Intelligent Data Acquisition and Advanced computing Systems

作者： Jubin Sebastian E Axel Sikora Institute of Reliable Embedded Systems and Communication Electronics (ivESK) Offenburg University of Applied Sciences

ISBN: (纸本)9781728140704

Narrowband IoT (NB-IoT) as a radio access technology for the cellular internet of Things (cIoT) is getting more traction due to attractive system parameters, new proposals in the 3rd Generation Partnership Project (3GPP) Release 14 for reduced power consumption and ongoing world-wide deployment. As per 3GPP, the low-power and wide-area use cases in 5G specification will be addressed by the early NB-IoT and Long-Term Evolution for Machines (LTE-M) based technologies. Since these cIoT networks will operate in a spatially distributed environment, there are various challenges to be addressed for tests and measurements of these networks. To meet these requirements, unified emulated and field testbeds for NB-IoT-networks were developed and used for extensive performance measurements. This paper analyses the results of these measurements with regard to RF coverage, signal quality, latency, and protocol consistency.

关键词： NB-IoT Cellular IoT Test and measurements 5G IoT LPWAN Access to technology Testing and Measurement Power consumption 3GPP system parameter measurement result Performance metrics Long Term Evolution

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A Hybrid Optical Burst/Circuit Switched Ingress Edge Router for Grid-enabled Optical Networks

A Hybrid Optical Burst/Circuit Switched Ingress Edge Router ...

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international conference on Broadband Networks (BroadNets)

作者： Georgios Zervas Reza Nejabati Dimitra Simeonidou Anna Tzanakaki Siamak Azodolmolky Ioannis Tomkos Department of Electronic Systems Engineering University of Essex Colchester UK Athens Information Technology Center Athens Greece

This paper presents a novel hybrid optical burst/circuit switched (OBCS) ingress edge router solution towards ubiquitous photonic Grid networking. It is based on the deployment of Grid application-aware packet classification and burst aggregation algorithms as well as agile and intelligent optical resource allocation. The proposed solution utilises a generic and highly scalable multi-dimension classification mechanism able to provide wire-speed classification at high bit rates up to 40 Gbps. The mechanism is responsible for per application switching (OBS/OCS) service selection and Grid Differentiated Service (GridDiffServ) provisioning. A CoS-Traffic-Time-LEngth-Service-oriented aSembly (COST 2 LESS) algorithm has been proposed to smooth the incoming Grid traffic and provide some CoS differentiation and initial results are presented. An agile optical data transmission mechanism has been also implemented to map Grid traffic asynchronously into optical bursts or wavelength channels (data plane) based on user/application-specific requirements. Furthermore an optical burst Ethernet switched (OBES) transport mechanism has been implemented to transport out-of- band control plane signalling information.

关键词： Optical fiber networks Switching circuits Bandwidth Biomedical optical imaging Optical buffering Grid computing Optical control Computer networks distributed computing Telecommunication traffic

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A distributed Stream Data Processing Platform Design and Implementation in Smart Cities

A Distributed Stream Data Processing Platform Design and Imp...

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IEEE international conference on Electronic Information and Communication technology (ICEICT)

作者： Qinglong Dai Jin Qian Beijing Union University Beijing P. R. China Dareway Software Co.ltd Jinan Shandong P. R. China

ISBN: (数字)9781728190457

ISBN: (纸本)9781728190464

The existence of bounded data and unbounded data gives a great challenge for data processing in smart cities. The wide application of the internet of things (IoT) makes the data amount rapidly increase. This leads to further raise the requirement for data processing in smart cities, especially the demand for low latency and abundant data in real-time video services. To solve this problem, a Flink based framework with smart city adaption is proposed. A mathematical model for data processing in smart cities is formulated. Through this model's solution, the path with the minimum resource occupancy ratio (ROR) is obtained. The superiority and feasibility of our work are validated via numerical simulation and prototype implementation, respectively.

关键词： Smart cities Streaming media Data processing Numerical simulation Real-time systems Mathematical model internet of Things

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Multi-agent Reinforcement Learning for Live Video Streaming in Vehicular Networks

Multi-agent Reinforcement Learning for Live Video Streaming ...

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Digital Society and Intelligent Systems (DSInS), international conference on

作者： Meiting Wu Kangli Zhao Xiaowei Lei Penglin Dai School of Computing and Artificial Intelligence Southwest Jiaotong University Chengdu China College of Computer Science and Technology Aba Teachers University Sichuan China Chongqing Prescholl Education College Chongqing China

Live Video Streaming (LVS) services are critical in supporting real-time applications in internet of Vehicles (IoV) by transmitting real-time generated video content from streaming server to mobile vehicles. However, due to restricted spectrum resources and high mobility of vehicles, LVS suffers from notable performance degradation. Accordingly, our paper investigates the problem of LVS-IoV by synthesizing multicasting and Scalable Video Coding (SVC)-based encoding techniques with the goal of maximizing Quality of Experience (QoE). We resolve the LVS-IoV by decoupling it into three sub-problems: vehicle grouping, quality selection, and resource allocation. Firstly, we propose a K-means-based mechanism for vehicle grouping that considers the geographical distribution and dynamic channels of vehicles. Secondly, we develop the Value Decomposition Network for quality selection which obtains the optimal reward with fast convergence via global value function decomposition and centralized training followed by distributed execution. Lastly, we propose a sub-gradient algorithm to achieve optimal resource allocation within a few iteration steps. We build simulation model and perform extensive evaluation, which demonstrates its superiority compared to other competitive methods.

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