Edge Computing in the Context of Open Manufacturing
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Trinity Iot Product Catalogue
IoT Devices TRINITY IOT PRODUCT CATALOGUE Teltonika Device Range 2021 TABLE OF CONTENTS 1 RUT950 27 TRB142 3 RUT955 29 TRB145 5 RUTX09 31 RUTX10 7 RUTX11 33 RUTX12 9 TRB141 35 RUTX08 11 RUT230 37 TRB255 13 RUT240 39 FMB920 15 RUT850 41 RUTXR1 17 RUT900 43 FM130 19 GH5200 45 BLUE SLIM ID 21 TRB245 47 BLUE COIN MAG 23 TSW100 49 BLUE COIN T 25 TRB140 PRODUCT SHEET / RUT950 ROUTER INTRODUCING RUT950 TRINITY APPROVED & SMART™ COMPATIBLE RUT950 is a highly reliable and secure LTE router for professional applications. Router delivers high performance, mission-critical cellular communication. RUT950 is equipped with connectivity redundancy through dual SIM failover. External antenna connectors make it possible to attach desired antennas and to easily find the best signal location. LTE LTE Cat4 Cat4 LTE Cat 4 with Dual SIM – significantly speeds up to 150 Mps reduce roaming costs WANLTE 4 LTEX failoverCat4 Cat4 Automatic switch to available 4x Ethernet ports backup connection with VLAN functionality LTE LTE Cat4 Cat4 Wireless Access Point Linux Powered with Hotspot functionality Simply order, and we’ll take care of the rest Source Import Test ICASA Management Onboarding 24/7 Platform Support www.trinity.co.za 1 PRODUCT SHEET / RUT950 ROUTER LAN Ethernet Ports WAN Ethernet Ports LTE antenna connectors Power socket WiFi antenna SIM card connectors slots Hardware Weight 256 g CPU Atheros Wasp, MIPS 74Kc, 550 MHz Memory 16 MBytes Flash, 128 MBytes DDR2 RAM Ethernet 4 x 10/100 Ethernet ports: 1 x WAN (configurable as LAN), 3 x LAN ports Power supply 9 -
Technical Proposal for One Day Workshop on Fog and Edge
1 Technical Proposal for One Day Workshop on Fog and Edge Computing for Beyond IoT Services and Opportunities IEEE 7th World Forum on Internet of Things New Orleans, Louisiana, USA Workshop Title: Fog and Edge Computing for 6G Networks/IoT Services and Opportunities 1. Preamble As we evolve toward the Internet of Things (IoT), our 5G/6G and future mobile networks must support a much wider range of applications, including vehicular networking, automated man- ufacturing, smart cities, drones, smart grids, e-health, and the many emerging AI-enabled applications such as Virtual Reality (VR) and Augmented Reality (AR). The cloud computing plus communication pipe model is no longer adequate for supporting these emerging appli- cations. Connecting every device directly to the cloud can often be impractical due to factors such as limited resources on the devices, software and management complexity, limited net- work agility and cognition, and system scalability. In such scenarios, users will desire local services. Future mobile networks will also require computing capabilities inside or close to the radio access networks (RANs) to enable advanced networking capabilities, such as estab- lishing radio connections more timely and adjusting radio channel coding dynamically in re- sponse to changing user needs and communication environments, and allow user applica- tions to be hosted in the RANs that are closer to the users. These and the many other new requirements call for a new computing paradigm – fog/edge computing and networking. Fog/Edge envisions an open and standards-based horizontal ar- chitecture for distributing functions (from computing to storage to control and to networking functions) closer to users, not just to any specific type of network edge device but anywhere along the cloud-to-thing continuum that can best meet user requirements. -
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IDZ DO PRZYK£ADOWY ROZDZIA£ SPIS TREFCI Wielka encyklopedia komputerów KATALOG KSI¥¯EK Autor: Alan Freedman KATALOG ONLINE T³umaczenie: Micha³ Dadan, Pawe³ Gonera, Pawe³ Koronkiewicz, Rados³aw Meryk, Piotr Pilch ZAMÓW DRUKOWANY KATALOG ISBN: 83-7361-136-3 Tytu³ orygina³u: ComputerDesktop Encyclopedia Format: B5, stron: 1118 TWÓJ KOSZYK DODAJ DO KOSZYKA Wspó³czesna informatyka to nie tylko komputery i oprogramowanie. To setki technologii, narzêdzi i urz¹dzeñ umo¿liwiaj¹cych wykorzystywanie komputerów CENNIK I INFORMACJE w ró¿nych dziedzinach ¿ycia, jak: poligrafia, projektowanie, tworzenie aplikacji, sieci komputerowe, gry, kinowe efekty specjalne i wiele innych. Rozwój technologii ZAMÓW INFORMACJE komputerowych, trwaj¹cy stosunkowo krótko, wniós³ do naszego ¿ycia wiele nowych O NOWOFCIACH mo¿liwoYci. „Wielka encyklopedia komputerów” to kompletne kompendium wiedzy na temat ZAMÓW CENNIK wspó³czesnej informatyki. Jest lektur¹ obowi¹zkow¹ dla ka¿dego, kto chce rozumieæ dynamiczny rozwój elektroniki i technologii informatycznych. Opisuje wszystkie zagadnienia zwi¹zane ze wspó³czesn¹ informatyk¹; przedstawia zarówno jej historiê, CZYTELNIA jak i trendy rozwoju. Zawiera informacje o firmach, których produkty zrewolucjonizowa³y FRAGMENTY KSI¥¯EK ONLINE wspó³czesny Ywiat, oraz opisy technologii, sprzêtu i oprogramowania. Ka¿dy, niezale¿nie od stopnia zaawansowania swojej wiedzy, znajdzie w niej wyczerpuj¹ce wyjaYnienia interesuj¹cych go terminów z ró¿nych bran¿ dzisiejszej informatyki. • Komunikacja pomiêdzy systemami informatycznymi i sieci komputerowe • Grafika komputerowa i technologie multimedialne • Internet, WWW, poczta elektroniczna, grupy dyskusyjne • Komputery osobiste — PC i Macintosh • Komputery typu mainframe i stacje robocze • Tworzenie oprogramowania i systemów komputerowych • Poligrafia i reklama • Komputerowe wspomaganie projektowania • Wirusy komputerowe Wydawnictwo Helion JeYli szukasz ]ród³a informacji o technologiach informatycznych, chcesz poznaæ ul. -
IOT-EDGE-SERVER BASED EMBEDDED SYSTEM for WIDE-RANGE HABITATS by Archit Gajjar, B.Tech. THESIS Presented to the Faculty of the U
IOT-EDGE-SERVER BASED EMBEDDED SYSTEM FOR WIDE-RANGE HABITATS by Archit Gajjar, B.Tech. THESIS Presented to the Faculty of The University of Houston-Clear Lake In Partial Fulfillment Of the Requirements For the Degree MASTER OF SCIENCE in Computer Engineering THE UNIVERSITY OF HOUSTON-CLEAR LAKE MAY, 2019 IOT-EDGE-SERVER BASED EMBEDDED SYSTEM FOR WIDE-RANGE HABITATS by Archit Gajjar APPROVED BY Xiaokun Yang, PhD, Chair Hakduran Koc, PhD, Committee Member Ishaq Unwala, PhD, Committee Member APPROVED/RECEIVED BY THE COLLEGE OF SCIENCE AND ENGINEERING: Said Bettayeb, PhD, Associate Dean Ju H. Kim, PhD, Dean Dedication I would like to dedicate this thesis to my parents, family members, roommates, and professors. I would never have made it here without all of you. Acknowledgments First and foremost, I am grateful to my advisor, Dr. Xiaokun Yang, for being friendly, caring, supportive, and help in numerous ways. Without his support, I could not have done what I was able to do. He was very generous in sharing his experiences on electrical and computer engineering, academic life and beyond. He is not only my adviser but also, a friend inspiring me for the rest of my life. Next, I would like to thank the members of my committee, Dr. Hakduran Koc and Dr. Ishaq Unwala for their support and suggestions in improving the quality of this dissertation. It is truly honored to have such great fantastic and knowledgeable professors serving as my committee members. I would also like to thank all the lab mates and members at the Integrated Cir- cut (IC) and Internet-of-Things (IoT) - IICOT Laboratory for creating an amazing working environment, and thank my friend, Yunxiang Zhang, for his assistance on work related to my research. -
The Drivers and Benefits of Edge Computing
The Drivers and Benefits of Edge Computing White Paper 226 Revision 0 by Steven Carlini Executive summary Internet use is trending towards bandwidth-intensive content and an increasing number of attached “things”. At the same time, mobile telecom networks and data networks are converging into a cloud computing architecture. To support needs today and tomorrow, computing power and storage is being inserted out on the network edge in order to lower data transport time and increase availability. Edge computing brings bandwidth-intensive content and latency-sensitive applications closer to the user or data source. This white paper explains the drivers of edge computing and explores the various types of edge computing available. RATE THIS PAPER by Schneider Electric White Papers are now part of the Schneider Electric white paper library produced by Schneider Electric’s Data Center Science Center [email protected] The Drivers and Benefits of Edge Computing Edge computing places data acquisition and control functions, storage of high bandwidth Edge content, and applications closer to the end user. It is inserted into a logical end point of a computing network (Internet or private network), as part of a larger cloud computing architecture. defined On-premise application Applications Service Edge Computing Figure 1 Applications Database Service IoT Basic diagram of cloud Applications Service computing with edge aggregation and control Edge Computing devices Cloud Applications Service Edge Computing High bandwidth content There are three primary applications of Edge Computing we will discuss in this white paper. 1. A tool to gather massive information from local “things” as an aggregation and control point. -
Edge-To-Business Value Chain Delivery Via Elastic Telemetry of Cyber-Physical Systems
Edge-to-Business Value Chain Delivery via Elastic Telemetry of Cyber-Physical Systems DISSERTATION zur Erlangung des akademischen Grades Doktor der Technischen Wissenschaften eingereicht von Soheil Qanbari Matrikelnummer 1129801 an der Fakultät für Informatik der Technischen Universität Wien Betreuung: Univ.Prof. Dr. Schahram Dustdar Diese Dissertation haben begutachtet: Prof. Dr. Schahram Dustdar Prof. Dr. Frank Leymann Wien, 2. Dezember 2015 Soheil Qanbari Technische Universität Wien A-1040 Wien Karlsplatz 13 Tel. +43-1-58801-0 www.tuwien.ac.at Edge-to-Business Value Chain Delivery via Elastic Telemetry of Cyber-Physical Systems DISSERTATION submitted in partial fulfillment of the requirements for the degree of Doktor der Technischen Wissenschaften by Soheil Qanbari Registration Number 1129801 to the Faculty of Informatics at the Vienna University of Technology Advisor: Univ.Prof. Dr. Schahram Dustdar The dissertation has been reviewed by: Prof. Dr. Schahram Dustdar Prof. Dr. Frank Leymann Vienna, 2nd December, 2015 Soheil Qanbari Technische Universität Wien A-1040 Wien Karlsplatz 13 Tel. +43-1-58801-0 www.tuwien.ac.at Erklärung zur Verfassung der Arbeit Soheil Qanbari Schwemmgasse 2/3/55A, 1020 Wien, Austria Hiermit erkläre ich, dass ich diese Arbeit selbständig verfasst habe, dass ich die verwen- deten Quellen und Hilfsmittel vollständig angegeben habe und dass ich die Stellen der Arbeit – einschließlich Tabellen, Karten und Abbildungen –, die anderen Werken oder dem Internet im Wortlaut oder dem Sinn nach entnommen sind, auf jeden Fall unter Angabe der Quelle als Entlehnung kenntlich gemacht habe. Wien, 2. Dezember 2015 Soheil Qanbari v Danksagung “Betrachte den Menschen als ein Bergwerk, reich an Edelsteinen von unschätzbarem Wert. -
A 2021 Perspective on Edge Computing
White paper Scientific Community A 2021 perspective on edge computing Thought Leadership 02 Executive summary Edge computing continues to be a major IT trend in 2021. This paper provides a review on the state-of-the-art and today’s edge computing practices, specifically focusing on the software tools that enable execution of workloads at the edge. Our intention is to introduce the different scenarios for edge computing and analyze the software available. We have provided a review of the existing development frameworks for each type of IoT edge device, as well as the open source frameworks and toolsets that enable the development of IoT edge services and applications. Additionally, we explore key issues for the future development of edge services, such as the operation of services at the edge and the status of edge standardization efforts. Finally, we provide our view on the complexity that edge computing brings to the IT landscape and outline our perspective on how edge computing may evolve. A 2021 perspective on edge computing 03 Introduction The emergence of edge computing is linked to the need to process data close to data generation sources in IoT devices. According to the latest estimates, we could see more than 75.44 billion IoT devices by 20251 — a 5X increase since 2015. In this context, the challenge is not simply managing IoT devices but more importantly, how to cope with the volume of data and content that connected devices will produce. In today’s prevailing IoT architecture, sensor data is transmitted over a wide area network to be centralized, processed and analyzed — which creates an additional supply of enriched data. -
The Edge Computing Advantage
The Edge Computing Advantage An Industrial Internet Consortium White Paper Version 1.0 2019-10-24 - 1 - The Edge Computing Advantage Computing at the edge has grown steadily over the past decade, driven by the need to extend the technologies used in data centers to support cloud computing closer to things in the physical world. This is a key factor in accelerating the development of the internet of things (IoT). But, as is often the case with new technology, there is an abundance of overlapping terminology that obfuscates what the fundamentals are and how they relate to one another. We aim here to demystify edge computing, discuss its benefits, explain how it works, how it is realized and the future opportunities and challenges it presents. BUSINESS BENEFITS OF EDGE COMPUTING Cloud computing in data centers offers flexibility and scale to enterprises. We can extend those benefits towards “things” in the real world, towards the edge. We accrue business benefits by connecting things and isolated systems to the internet, but there are risks that should be balanced against them. Disciplined security of the whole system is needed to make it trustworthy. The flexibility to decide where to perform computation on data improves performance and reduces costs. Sensors are generally limited in terms of what they can do, while computing in data centers induces bandwidth costs as data is transmitted to them. Computing in the edge enables collecting data from multiple sources, fusing and abstracting it as needed, and computing on it right there. For example, the data from a surveillance camera can be abstracted into geometric features and eventually a face. -
Resource Management in Fog/Edge Computing: a Survey Cheol-Ho Hong and Blesson Varghese
Resource Management in Fog/Edge Computing: A Survey Cheol-Ho Hong and Blesson Varghese Abstract—Contrary to using distant and centralized cloud data center resources, employing decentralized resources at the edge of a network for processing data closer to user devices, such as smartphones and tablets, is an upcoming computing paradigm, referred to as fog/edge computing. Fog/edge resources Cloud Data Center are typically resource-constrained, heterogeneous, and dynamic compared to the cloud, thereby making resource management an important challenge that needs to be addressed. This article re- views publications as early as 1991, with 85% of the publications between 2013–2018, to identify and classify the architectures, in- frastructure, and underlying algorithms for managing resources in fog/edge computing. Fog/Edge Nodes I. INTRODUCTION Accessing remote computing resources offered by cloud data centers has become the de facto model for most Internet- based applications. Typically, data generated by user devices User Devices such as smartphones and wearables, or sensors in a smart city /Sensors or factory are all transferred to geographically distant clouds to be processed and stored. This computing model is not practical Fig. 1. A fog/edge computing model comprising the cloud, resources at the for the future because it is likely to increase communication edge of the network, and end-user devices or sensors latencies when billions of devices are connected to the In- ternet [1]. Applications will be adversely impacted because of the increase in communication latencies, thereby degrading the Contrary to cloud resources, the resources at the edge are: overall Quality-of-Service (QoS) and Quality-of-Experience (i) resource constrained - limited computational resources (QoE). -
Why Organizations Are Betting on Edge Computing
Research Insights Why organizations are betting on edge computing Insights from the edge How IBM can help Clients need strategies and operating plans to harness the game-changing potential of real-time actionable insights, apply predictive and learning analytics to workflows and assets, and enable their digital transformations. Edge computing with AI is creating the potential to enable new markets and grow new revenue streams. We see this rapidly evolving competence pushing the boundaries of what is possible for in-the-moment human and machine collaboration—a new workflow partnership. IBM’s Intelligent Connected Operations offer integrated services, software, and edge computing solutions. Connect with us to navigate this dynamic, rapidly changing landscape and apply the computing power of AI on the edge to integrate end-to-end processes. For more information visit ibm.com/ services/process/iot-consulting By Skip Snyder, Rob High, Karen Butner, and Anthony Marshall Key takeaways Living on the edge Power of edge While edge computing has been on the IT and operations radar for some time, it has now moved into the corporate Edge computing brings computation, data mainstream. According to Network World, edge will be storage, and power closer to the point of part of almost every industry.1 Rollout of 5G will only action or event, reducing response time increase demand and need. In the different normal of a COVID-19 world, edge computing’s significance and and saving bandwidth. Its revolutionary potential are more important than ever. capabilities coupled with artificial A combination of edge computing and industrial Internet intelligence (AI) enable interpretation of Things (IoT) devices enables smarter supply chains, of data patterns, learning, and decisions better equipping them to handle disruption of all kinds. -
Edgeiot: Mobile Edge Computing for Internet of Things Xiang Sun, Student Member, IEEE, and Nirwan Ansari, Fellow, IEEE
1 EdgeIoT: Mobile Edge Computing for Internet of Things Xiang Sun, Student Member, IEEE, and Nirwan Ansari, Fellow, IEEE Abstract—In order to overcome the scalability problem of the big IoT data generated from the distributed IoT devices the traditional Internet of Things (IoT) architecture (i.e., data are transmitted to the remote cloud, a smart ”brain” for streams generated from the distributed IoT devices are trans- processing the big data, via the Internet in the traditional mitted to the remote cloud via the Internet for further analysis), this article proposes a novel mobile edge computing for the IoT architecture [4], [5], as shown in Fig. 1. However, the IoT architecture, i.e., edgeIoT, to handle the data streams at Internet is not scalable and efficient enough to handle the big the mobile edge. Specifically, each BS is connected to a fog IoT data. Meanwhile, transferring the big data is expensive, node, which provides computing resources locally. On the top consuming a huge amount of bandwidth, energy and time. of the fog nodes, the Software Defined Networking (SDN) based Second, since the big IoT data streams are transmitted to cellular core is designed to facilitate the packet forwarding among fog nodes. Meanwhile, we propose a hierarchical fog computing the cloud in high volume and fast velocity, it is necessary to architecture in each fog node to provide flexible IoT services design an efficient data processing architecture to explore the while maintaining user privacy, i.e., each user’s IoT devices are valuable information in real-time. Third, user privacy remains associated with a proxy Virtual Machine (VM) (located in a a challenging unsolved issue, i.e., in order to obtain services fog node), which collects, classifies, and analyzes the devices’ and benefits, the users should share their sensed data with raw data streams, converts them into metadata, and transmits the metadata to the corresponding application VMs (which are IoT service providers and these sensed data may contain the owned by IoT service providers). -
Opportunities and Use Cases for Edge Computing in the Iot
Opportunities and Use Cases for EDGE COMPUTING IN THE IoT 2018 Opportunities and Use Cases for Edge Computing in the IoT About the GSMA The GSMA represents the interests of mobile operators worldwide, uniting more than 750 operators with over 350 companies in the broader mobile ecosystem, including handset and device makers, software companies, equipment providers and internet companies, as well as organisations in adjacent industry sectors. The GSMA also produces the industry-leading MWC events held annually in Barcelona, Los Angeles and Shanghai, as well as the Mobile 360 Series of regional conferences. For more information, please visit the GSMA corporate website at www.gsma.com. Follow the GSMA on Twitter: @GSMA. About the GSMA Internet of Things Programme The GSMA’s Internet of Things Programme is an industry initiative focused on: \ COVERAGE of machine friendly, cost effective networks to deliver global and universal benefits \ CapaBILitY to capture higher value services beyond connectivity, at scale \ CYBERSECURITY to enable a trusted IoT where security is embedded from the beginning, at every stage of the IoT value chain developing key enablers, facilitating industry collaboration and supporting network optimisation, the Internet of Things Programme is enabling consumers and businesses to harness a host of rich new services, connected by intelligent and secure mobile networks. Visit gsma.com/iot to find out more. OPPORTUNITIES AND USE CASES FOR EDGE COMPUTING IN THE IoT Opportunities and Use Cases for Edge Computing in the IoT 1. Executive Summary Edge computing for the Internet of Things (IoT) allows IoT deployments to be enhanced through data processing closer to the end device.