Edge Analytics

Edge Analytics PDF Author: Ripon Patgiri
Publisher: Springer Nature
ISBN: 9811900191
Category : Technology & Engineering
Languages : en
Pages : 720

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Book Description
This book constitutes refereed proceedings of the 26th annual International Conference on Advanced Computing and Communications (ADCOM 2020). ADCOM, the flagship Systems Conference of the ACCS, is a major annual international meeting that draws leading scientists and researchers in computational and communications engineering from across industry and academia. The proceedings highlight the growing importance of large-scale systems engineering and discuss leading-edge research and trends. The main theme of ADCOM 2020 is Edge Analytics. The book includes novel contributions and latest developments from researchers across industry and academia who are working in security, privacy, and data analytics from both technological and social perspectives. The book serves as a valuable reference resource for academics and researchers across the globe.

Edge Analytics

Edge Analytics PDF Author: Ripon Patgiri
Publisher: Springer Nature
ISBN: 9811900191
Category : Technology & Engineering
Languages : en
Pages : 720

Get Book Here

Book Description
This book constitutes refereed proceedings of the 26th annual International Conference on Advanced Computing and Communications (ADCOM 2020). ADCOM, the flagship Systems Conference of the ACCS, is a major annual international meeting that draws leading scientists and researchers in computational and communications engineering from across industry and academia. The proceedings highlight the growing importance of large-scale systems engineering and discuss leading-edge research and trends. The main theme of ADCOM 2020 is Edge Analytics. The book includes novel contributions and latest developments from researchers across industry and academia who are working in security, privacy, and data analytics from both technological and social perspectives. The book serves as a valuable reference resource for academics and researchers across the globe.

The Analytics Edge

The Analytics Edge PDF Author: Dimitris Bertsimas
Publisher:
ISBN: 9780989910897
Category : Computer simulation
Languages : en
Pages : 462

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Book Description
"Provides a unified, insightful, modern, and entertaining treatment of analytics. The book covers the science of using data to build models, improve decisions, and ultimately add value to institutions and individuals"--Back cover.

Role of Edge Analytics in Sustainable Smart City Development

Role of Edge Analytics in Sustainable Smart City Development PDF Author: G. R. Kanagachidambaresan
Publisher: John Wiley & Sons
ISBN: 1119681308
Category : Computers
Languages : en
Pages : 352

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Book Description
Efficient Single Board Computers (SBCs) and advanced VLSI systems have resulted in edge analytics and faster decision making. The QoS parameters like energy, delay, reliability, security, and throughput should be improved on seeking better intelligent expert systems. The resource constraints in the Edge devices, challenges the researchers to meet the required QoS. Since these devices and components work in a remote unattended environment, an optimum methodology to improve its lifetime has become mandatory. Continuous monitoring of events is mandatory to avoid tragic situations; it can only be enabled by providing high QoS. The applications of IoT in digital twin development, health care, traffic analysis, home surveillance, intelligent agriculture monitoring, defense and all common day to day activities have resulted in pioneering embedded devices, which can offer high computational facility without much latency and delay. The book address industrial problems in designing expert system and IoT applications. It provides novel survey and case study report on recent industrial approach towards Smart City development.

Cases on Edge Computing and Analytics

Cases on Edge Computing and Analytics PDF Author: Ambika, Paranthaman
Publisher: IGI Global
ISBN: 1799848744
Category : Computers
Languages : en
Pages : 327

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Book Description
Edge computing and analytics are fascinating the whole world of computing. Industry and business are keenly embracing this sound concept to develop customer-centric solutions by enhancing their operations, offerings, and outputs. There is a bevy of advancements in this domain that came with the arrival of IoT devices. The seamless convergence of microservices and serverless computing creates vast opportunities. With the help of IoT devices and these other developments, there has become a deep interest in business automation and additional improvisations in edge computing. With the steady growth of edge devices and applications of IoT fog/edge computing and analytics, there are also distinct challenges and threats. Research has been keenly focused on identifying and understanding these issues and shortcomings to bring viable solution approaches and algorithms. Cases on Edge Computing and Analytics describes the latest innovations, improvements, and transformations happening with edge devices and computing. It addresses the key concerns of the edge computing paradigm, how they are processed, and the various technologies and tools empowering edge computing and analytics. While highlighting topics within edge computing such as the key drivers for implementation, computing capabilities, security considerations, and use-cases, this book is ideal for IT industry professionals and project managers, computer scientists, computer engineers, and practitioners, stakeholders, researchers, academicians, and students looking for research on the latest trends and transitions in edge computing.

Integrating AI in IoT Analytics on the Cloud for Healthcare Applications

Integrating AI in IoT Analytics on the Cloud for Healthcare Applications PDF Author: Jeya Mala, D.
Publisher: IGI Global
ISBN: 1799891348
Category : Computers
Languages : en
Pages : 312

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Book Description
Internet of things (IoT) applications employed for healthcare generate a huge amount of data that needs to be analyzed to produce the expected reports. To accomplish this task, a cloud-based analytical solution is ideal in order to generate faster reports in comparison to the traditional way. Given the current state of the world in which every day IoT devices are developed to provide healthcare solutions, it is essential to consider the mechanisms used to collect and analyze the data to provide thorough reports. Integrating AI in IoT Analytics on the Cloud for Healthcare Applications applies artificial intelligence (AI) in edge analytics for healthcare applications, analyzes the impact of tools and techniques in edge analytics for healthcare, and discusses security solutions for edge analytics in healthcare IoT. Covering topics such as data analytics and next generation healthcare systems, it is ideal for researchers, academicians, technologists, IT specialists, data scientists, healthcare industries, IoT developers, data security analysts, educators, and students.

Role of Edge Analytics in Sustainable Smart City Development

Role of Edge Analytics in Sustainable Smart City Development PDF Author: G. R. Kanagachidambaresan
Publisher: John Wiley & Sons
ISBN: 1119681286
Category : Computers
Languages : en
Pages : 352

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Book Description
Efficient Single Board Computers (SBCs) and advanced VLSI systems have resulted in edge analytics and faster decision making. The QoS parameters like energy, delay, reliability, security, and throughput should be improved on seeking better intelligent expert systems. The resource constraints in the Edge devices, challenges the researchers to meet the required QoS. Since these devices and components work in a remote unattended environment, an optimum methodology to improve its lifetime has become mandatory. Continuous monitoring of events is mandatory to avoid tragic situations; it can only be enabled by providing high QoS. The applications of IoT in digital twin development, health care, traffic analysis, home surveillance, intelligent agriculture monitoring, defense and all common day to day activities have resulted in pioneering embedded devices, which can offer high computational facility without much latency and delay. The book address industrial problems in designing expert system and IoT applications. It provides novel survey and case study report on recent industrial approach towards Smart City development.

Edge Learning for Distributed Big Data Analytics

Edge Learning for Distributed Big Data Analytics PDF Author: Song Guo
Publisher: Cambridge University Press
ISBN: 1108832377
Category : Computers
Languages : en
Pages : 231

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Book Description
Introduces fundamental theory, basic and advanced algorithms, and system design issues. Essential reading for experienced researchers and developers, or for those who are just entering the field.

Edge Computing

Edge Computing PDF Author: K. Anitha Kumari
Publisher: CRC Press
ISBN: 1000483592
Category : Computers
Languages : en
Pages : 181

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Book Description
This reference text presents the state-of-the-art in edge computing, its primitives, devices and simulators, applications, and healthcare-based case studies. The text provides integration of blockchain with edge computing systems and integration of edge with Internet of Things (IoT) and cloud computing. It will facilitate readers to setup edge-based environment and work with edge analytics. It covers important topics, including cluster computing, fog computing, networking architecture, edge computing simulators, edge analytics, privacy-preserving schemes, edge computing with blockchain, autonomous vehicles, and cross-domain authentication. Aimed at senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and information technology, this text: Discusses edge data storage security with case studies and blockchain integration with the edge computing system Covers theoretical methods with the help of applications, use cases, case studies, and examples Provides healthcare real-time case studies elaborated by utilizing the virtues of homomorphic encryption Discusses real-time interfaces, devices, and simulators in detail

Cutting-edge Marketing Analytics

Cutting-edge Marketing Analytics PDF Author: Rajkumar Venkatesan
Publisher: Pearson Education
ISBN: 0133552527
Category : Business & Economics
Languages : en
Pages : 321

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Book Description
Master practical strategic marketing analysis through real-life case studies and hands-on examples. In Cutting Edge Marketing Analytics, three pioneering experts integrate all three core areas of marketing analytics: statistical analysis, experiments, and managerial intuition. They fully detail a best-practice marketing analytics methodology, augmenting it with case studies that illustrate the quantitative and data analysis tools you'll need to allocate resources, define optimal marketing mixes; perform effective analysis of customers and digital marketing campaigns, and create high-value dashboards and metrics. For each marketing problem, the authors help you: Identify the right data and analytics techniques Conduct the analysis and obtain insights from it Outline what-if scenarios and define optimal solutions Connect your insights to strategic decision-making Each chapter contains technical notes, statistical knowledge, case studies, and real data you can use to perform the analysis yourself. As you proceed, you'll gain an in-depth understanding of: The real value of marketing analytics How to integrate quantitative analysis with managerial sensibility How to apply linear regression, logistic regression, cluster analysis, and Anova models The crucial role of careful experimental design For all marketing professionals specializing in marketing analytics and/or business intelligence; and for students and faculty in all graduate-level business courses covering Marketing Analytics, Marketing Effectiveness, or Marketing Metrics

Applied Edge AI

Applied Edge AI PDF Author: Pethuru Raj
Publisher: CRC Press
ISBN: 1000552691
Category : Computers
Languages : en
Pages : 329

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Book Description
The strategically sound combination of edge computing and artificial intelligence (AI) results in a series of distinct innovations and disruptions enabling worldwide enterprises to visualize and realize next-generation software products, solutions and services. Businesses, individuals, and innovators are all set to embrace and experience the sophisticated capabilities of Edge AI. With the faster maturity and stability of Edge AI technologies and tools, the world is destined to have a dazzling array of edge-native, people-centric, event-driven, real-time, service-oriented, process-aware, and insights-filled services. Further on, business workloads and IT services will become competent and cognitive with state-of-the-art Edge AI infrastructure modules, AI algorithms and models, enabling frameworks, integrated platforms, accelerators, high-performance processors, etc. The Edge AI paradigm will help enterprises evolve into real-time and intelligent digital organizations. Applied Edge AI: Concepts, Platforms, and Industry Use Cases focuses on the technologies, processes, systems, and applications that are driving this evolution. It examines the implementation technologies; the products, processes, platforms, patterns, and practices; and use cases. AI-enabled chips are exclusively used in edge devices to accelerate intelligent processing at the edge. This book examines AI toolkits and platforms for facilitating edge intelligence. It also covers chips, algorithms, and tools to implement Edge AI, as well as use cases. FEATURES The opportunities and benefits of intelligent edge computing Edge architecture and infrastructure AI-enhanced analytics in an edge environment Encryption for securing information An Edge AI system programmed with Tiny Machine learning algorithms for decision making An improved edge paradigm for addressing the big data movement in IoT implementations by integrating AI and caching to the edge Ambient intelligence in healthcare services and in development of consumer electronic systems Smart manufacturing of unmanned aerial vehicles (UAVs) AI, edge computing, and blockchain in systems for environmental protection Case studies presenting the potential of leveraging AI in 5G wireless communication