Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Everand Logo

Welcome to Everand!

  • Discover millions of ebooks, audiobooks, and so much more with a free trial

    From $11.99/month after trial. Cancel anytime.

    Edge Computing for Data Processing
    Edge Computing for Data Processing
    Edge Computing for Data Processing
    Ebook139 pages1 hour

    Edge Computing for Data Processing

    By Sam Campbell

    ()

    Read preview

    About this ebook

    "Edge Computing: Unleashing the Power of Distributed Data Processing" provides a comprehensive exploration of the rapidly evolving field of edge computing. From its historical roots to its current applications across various industries, this book delves into the architectures, frameworks, and technologies that make edge computing a transformative force in the digital landscape.

    Readers will gain insights into the challenges and solutions associated with edge computing, along with practical strategies for implementation. Through real-world use cases, the book demonstrates how edge computing is reshaping industries such as healthcare, manufacturing, and transportation.

    With a focus on the future, the book explores emerging technologies, ethical considerations, and the social and economic impact of edge computing. Whether you're a technology enthusiast, industry professional, or decision-maker, this book serves as a valuable guide to understanding and harnessing the potential of edge computing for data processing in the modern era.

     

    LanguageEnglish
    PublisherMjPublishing4972
    Release dateDec 2, 2024
    ISBN9798230673972
    Edge Computing for Data Processing

    Read more from Sam Campbell

    Related to Edge Computing for Data Processing

    Related ebooks

    Programming For You

    View More
    View More

    Related podcast episodes

    Related articles

    • UNLIMITED

      Edge Computing and 5G

      Jun 1, 2022

      Edge Computing and 5G
      5 min read

    • UNLIMITED

      Editor’s Note

      Jun 1, 2022

      Dear Readers, Edge computing is a form of computing which takes place on-site or close to a specific data source. This process reduces the necessity for data to be processed in a distant data centre. Edge computing, a modern distributed information t

      1 min read

    • UNLIMITED

      Edge Computing In Europe: A Key Driver Of Business Innovation

      Jan 26, 2024

      1 83% of our survey respondents believe that edge computing will be essential to remaining competitive in the future but only 65% are using edge today. 2 Super Integrators — edge adopters that tie edge to business in transformation adoption — compris

      8 min read

    • UNLIMITED

      Make Time For Tech

      Aug 29, 2019

      Make Time For Tech
      4 min read

    • UNLIMITED

      Making The Most Of The Cloud

      Jul 8, 2021

      Making The Most Of The Cloud
      6 min read

    • UNLIMITED

      What Is A SmartCity?

      Jun 1, 2021

      A smart city is not just a widespread and hyped-up concept among people. Many metro cities around the world are using digital technologies to make their services better for citizens. There are interconnected services provided by local governance; Rad

      3 min read

    • UNLIMITED

      The Digital Replica

      May 27, 2022

      The Digital Replica
      6 min read

    • UNLIMITED

      Data Centre BOOM

      Dec 10, 2020

      Data Centre BOOM
      6 min read

    • UNLIMITED

      Blue Chaos

      Aug 2, 2024

      Blue Chaos
      3 min read

    • UNLIMITED

      Smart Homes

      Mar 17, 2021

      Smart Homes
      3 min read

    • UNLIMITED

      Caution: Tech At Work

      Dec 25, 2018

      Caution: Tech At Work
      3 min read

    • UNLIMITED

      Buildings In A Changing World

      Mar 28, 2019

      Buildings In A Changing World
      4 min read

    • UNLIMITED

      Technology Revolution

      Mar 28, 2019

      Technology Revolution
      8 min read

    • UNLIMITED

      Facilities Systems

      Oct 21, 2018

      Facilities Systems
      5 min read

    • UNLIMITED

      Business In The Cloud

      Oct 1, 2020

      Business In The Cloud
      7 min read

    • UNLIMITED

      The Highly Connected World Of Iot

      Jul 21, 2021

      The Highly Connected World Of Iot
      4 min read

    • UNLIMITED

      Chips Run The World

      Oct 21, 2022

      On what do the Chinese Communist Party, US Republicans, US Democrats and the European Union all agree? The strategic importance of semiconductors. The US Congress has just signed the Chips Act, a $52bn package to support investment in semiconductors.

      5 min read

    Related categories

    Reviews for Edge Computing for Data Processing

    0 ratings

    0 ratings0 reviews

    What did you think?

    Tap to rate

    Review must be at least 10 words

      Book preview

      Edge Computing for Data Processing - Sam Campbell

      1. Introduction

      1.1 Definition and Evolution of Edge Computing

      Edge computing is a paradigm in computing that brings computational power and data storage closer to the location where it is needed, reducing latency and enhancing the efficiency of data processing. In traditional cloud computing models, data is sent to centralized data centers for processing, which can result in delays due to the physical distance between the data source and the processing center. Edge computing, on the other hand, pushes computation closer to the data source, often at the edge of the network, such as IoT (Internet of Things) devices, sensors, and local servers.

      The evolution of edge computing can be traced back to the increasing demands for real-time processing and low-latency applications. As the number of connected devices and sensors surged, traditional cloud infrastructure struggled to handle the sheer volume of data generated at the network's edge. Edge computing emerged as a solution to address these challenges, allowing for faster decision-making and more efficient use of network resources.

      Over time, edge computing has evolved to accommodate a wide range of use cases and industries. It is now integral to the development of smart cities, autonomous vehicles, industrial automation, healthcare applications, and more. The architecture of edge computing has also adapted to incorporate various technologies, including edge servers, fog computing, and distributed computing models. This evolution has enabled organizations to harness the benefits of both centralized cloud resources and decentralized edge resources to create a more flexible and responsive computing environment.

      The definition and evolution of edge computing reflect the ongoing need for efficient and real-time data processing in our increasingly connected and data-driven world. The continual advancements in technology, coupled with the proliferation of IoT devices and emerging applications, contribute to the ongoing evolution of edge computing as a crucial component of modern computing infrastructure.

      1.2 Importance of Edge Computing in the Digital Age

      In the digital age, where data is generated at an unprecedented rate and real-time processing is paramount, the importance of edge computing has become increasingly evident. Edge computing addresses the limitations of traditional cloud-centric models by bringing computation and storage closer to the point of data generation. This proximity reduces latency, enhances responsiveness, and allows for quicker decision-making, critical factors in the success of various applications and services.

      One key area where edge computing plays a pivotal role is in the Internet of Things (IoT). The proliferation of connected devices, sensors, and smart technologies demands a computing infrastructure that can handle the massive influx of data at the edge of the network. Edge computing enables IoT devices to process data locally, reducing the need to send vast amounts of information to centralized cloud servers. This not only alleviates network congestion but also conserves bandwidth and ensures real-time responsiveness, making it indispensable for applications such as smart homes, industrial IoT, and autonomous vehicles.

      Moreover, edge computing is instrumental in supporting mission-critical applications across various industries. In healthcare, for instance, the ability to process patient data in real-time at the edge facilitates timely decision-making and enhances patient care. In manufacturing, edge computing can optimize production processes by analyzing data locally, improving efficiency, and reducing downtime. The importance of edge computing is also evident in the development of smart cities, where it enables real-time monitoring of traffic, energy consumption, and other critical infrastructure elements.

      Furthermore, the increased focus on data privacy and security has amplified the significance of edge computing. By processing sensitive data locally rather than transmitting it to distant cloud servers, organizations can mitigate potential security risks and adhere to regulatory compliance standards more effectively. This decentralization of computing resources enhances overall system resilience and minimizes the impact of potential network failures.

      The importance of edge computing in the digital age lies in its ability to address the evolving demands of real-time processing, reduce latency, and enhance the efficiency and security of various applications across diverse industries. As technology continues to advance, the role of edge computing is likely to expand, shaping the future of a more responsive and decentralized computing landscape.

      2. Foundations of Edge Computing

      2.1 Key Concepts and Components

      Key Concepts and Components of Edge Computing:

      Edge Devices:

      These are the devices at the edge of the network, such as sensors, IoT devices, smartphones, and local servers, responsible for generating data. Edge devices play a crucial role in the initial data processing and filtering before transmitting relevant information to central data centers.

      Edge Servers:

      Edge servers are located closer to the edge devices and are responsible for processing and analyzing data locally. These servers help reduce latency and improve response times by handling computations closer to the data source.

      Fog Computing:

      Fog computing is an extension of edge computing that involves the deployment of computing resources in the vicinity of the edge, typically in the network's intermediate layer. It aims to address the limitations of edge devices by providing additional processing power and storage.

      Distributed Computing:

      Edge computing leverages a distributed computing model where tasks are divided and processed across multiple edge devices and servers. This approach enhances scalability and ensures that computing resources are utilized efficiently.

      Real-time Processing:

      The emphasis on real-time processing is a fundamental concept in edge computing. By handling data locally, edge devices and servers can analyze information in real-time, enabling quicker decision-making and improved responsiveness for applications such as industrial automation, autonomous vehicles, and healthcare monitoring.

      Latency Reduction:

      Edge computing addresses the issue of latency by minimizing the distance between data generation and processing. This reduction in latency is critical for applications that require immediate responses, such as augmented reality, virtual reality, and mission-critical systems.

      Decentralized Architecture:

      Unlike traditional cloud computing, which relies on centralized data centers, edge computing follows a decentralized architecture. This distribution of computing resources enhances reliability, reduces the risk of network failures, and provides better fault tolerance.

      Security at the Edge:

      Edge computing introduces new challenges and considerations for security. With data processing occurring at the edge, there is a need for robust security measures to protect against potential vulnerabilities. Encryption, secure authentication, and other cybersecurity practices are crucial components.

      Data Governance and Compliance:

      Edge computing requires careful consideration of data governance and compliance, especially as data is processed and stored closer to its source. Organizations need to ensure that they adhere to relevant data protection regulations and industry standards.

      Hybrid Cloud and Edge Integration:

      Many organizations adopt a hybrid approach, integrating both cloud and edge computing to leverage the strengths of each. This integration allows for seamless data flow between edge devices and central cloud services, offering flexibility and scalability.

      Understanding these key concepts and components is essential for organizations looking to harness the benefits of edge computing in the digital age. As technology continues to advance, the landscape of edge computing is likely to evolve, presenting new opportunities and challenges.

      2.2 Historical Perspective

      The historical perspective of edge computing can be traced back to the early development of computer networking and the evolution of distributed computing models. While the term "edge

      Enjoying the preview?
      Page 1 of 1