A revolution is going on at the Edge of the Network.
Why Edge is important?
How Edge Computing is shaping the way we do IoT, AR/VR, Big Data, Machine Learning and Analytics applications.
What are the important problems and who’s problem is this?
What solutions Industry is looking into right now?
This review of the "Industry report by SDxCentral" summarizes what is going on in the Industry.
Dynamic workload migration over optical backbone network to minimize data cen...Sabidur Rahman
Full paper: http://ieeexplore.ieee.org/abstract/document/7996505/
As more organizations rapidly adopt cloud services, energy consumption in data centers (DCs) is increasing such that today Information and Communication Technology (ICT) has become a major consumer of energy. A large portion of ICT energy consumption is used to power servers running in DCs and the network they use to communicate. In this study, we consider that, often, energy cost at a particular DC is related to the electricity price regulated by Independent System Operators / Regional Transmission Organizations (ISOs/RTOs). As these prices vary in time and depend on the geographical locations of the DCs, recent studies have shown that the spatio-temporal variations of electricity price can be exploited to reduce electricity cost. While most prior works consider a quasi-static scenario with known workload patterns, our study proposes a dynamic workload-aware algorithm that exploits the spatio-temporal variations of electricity costs with the goal to minimize the energy cost in ICT. Our algorithm uses dynamic request rerouting and live virtual machine (VM) migration to move workloads to DCs with lower electricity cost. We consider VM migration cost (including electricity cost at optical backbone network nodes), bandwidth constraints for migration, VM consolidation, constraints from Service Level Agreement (SLA), and administrative overhead of VM migration. Our simulation studies show that the proposed algorithm reduces operational cost and improves energy efficiency of data centers significantly.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/08/productizing-edge-ai-across-applications-and-verticals-case-study-and-insights-a-presentation-from-hailo-and-nec/
Orr Danon, CEO of Hailo, and Tsvi Lev, Managing Director of the NEC Research Center Israel and Corporate Vice President of NEC, co-present the “What We Need to Transform Lives and Industries with On-Device AI, Cloud and 5G” tutorial at the May 2021 Embedded Vision Summit.
As edge AI is growing across different markets and entering more products, discussions about realizing product and application goals are growing in importance. This presentation explores how product and application goals are being met in real-world applications by examining case studies from customers who have leveraged Hailo’s processors to perform high-performance AI inferencing at the edge.
The main case study discussed is NEC’s video analytics platform, which targets smart city, security and other use cases. For this, Hailo’s Orr Danon is joined by a guest speaker, Tsvi Lev, Managing Director of NEC Research Center Israel and an NEC Vice President. Following the case study, Danon and Lev conclude by highlighting key insights learned and offer a glimpse into future deployments.
Application developers are key to the success of an edge compute strategy. They are the backbone for any digital ecosystem and their requirements drive the platform architecture. Edge computing is no different. In this talk, we will focus on some key requirements, challenges and possible solutions for a developer centric architecture for multi-access edge computing including abstraction of the service provider’s network complexity, low footprint cloud native builder models, micro-services, hardware abstractions, intelligence layers and massive monitoring of application instances.
About the speaker: Shamik Mishra is currently Assistant Vice President (AVP), Technology and Innovation at Aricent. He is a practice leader for new product architectures. He has extensive experience and contributions in software development in cloud, wireless technologies, edge computing and platform software. His research interests are Network Function Virtualization (NFV), Cloud and edge computing and Machine Learning (ML). He has spoken in several conferences and his work is regularly covered in the media. Shamik has a bachelor’s and a master’s degree from Indian Institute of Technology (IIT) Kharagpur, India.
The Open Network Automation Platform (ONAP) is a leading Linux Foundation Networking open source project that provides fully automated orchestration and lifecycle management of NFV, SDN, analytics and edge computing services. While ONAP can be used for any network service, it is particularly beneficial for 5G and edge computing use cases. In this talk you will learn:
* What is ONAP
* What use cases does ONAP support
* What are the 5G/edge computing workload automation requirements
* How does ONAP support these requirements
* How can you get involved
IoT Meets the Cloud: The Origins of Edge ComputingMaria Gorlatova
History of edge computing: IoT meets the cloud. Lecture delivered as part of Duke University Electrical and Computer Engineering / Computer Science Special Topics course on Edge Computing designed and developed by the instructor.
Dynamic workload migration over optical backbone network to minimize data cen...Sabidur Rahman
Full paper: http://ieeexplore.ieee.org/abstract/document/7996505/
As more organizations rapidly adopt cloud services, energy consumption in data centers (DCs) is increasing such that today Information and Communication Technology (ICT) has become a major consumer of energy. A large portion of ICT energy consumption is used to power servers running in DCs and the network they use to communicate. In this study, we consider that, often, energy cost at a particular DC is related to the electricity price regulated by Independent System Operators / Regional Transmission Organizations (ISOs/RTOs). As these prices vary in time and depend on the geographical locations of the DCs, recent studies have shown that the spatio-temporal variations of electricity price can be exploited to reduce electricity cost. While most prior works consider a quasi-static scenario with known workload patterns, our study proposes a dynamic workload-aware algorithm that exploits the spatio-temporal variations of electricity costs with the goal to minimize the energy cost in ICT. Our algorithm uses dynamic request rerouting and live virtual machine (VM) migration to move workloads to DCs with lower electricity cost. We consider VM migration cost (including electricity cost at optical backbone network nodes), bandwidth constraints for migration, VM consolidation, constraints from Service Level Agreement (SLA), and administrative overhead of VM migration. Our simulation studies show that the proposed algorithm reduces operational cost and improves energy efficiency of data centers significantly.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/08/productizing-edge-ai-across-applications-and-verticals-case-study-and-insights-a-presentation-from-hailo-and-nec/
Orr Danon, CEO of Hailo, and Tsvi Lev, Managing Director of the NEC Research Center Israel and Corporate Vice President of NEC, co-present the “What We Need to Transform Lives and Industries with On-Device AI, Cloud and 5G” tutorial at the May 2021 Embedded Vision Summit.
As edge AI is growing across different markets and entering more products, discussions about realizing product and application goals are growing in importance. This presentation explores how product and application goals are being met in real-world applications by examining case studies from customers who have leveraged Hailo’s processors to perform high-performance AI inferencing at the edge.
The main case study discussed is NEC’s video analytics platform, which targets smart city, security and other use cases. For this, Hailo’s Orr Danon is joined by a guest speaker, Tsvi Lev, Managing Director of NEC Research Center Israel and an NEC Vice President. Following the case study, Danon and Lev conclude by highlighting key insights learned and offer a glimpse into future deployments.
Application developers are key to the success of an edge compute strategy. They are the backbone for any digital ecosystem and their requirements drive the platform architecture. Edge computing is no different. In this talk, we will focus on some key requirements, challenges and possible solutions for a developer centric architecture for multi-access edge computing including abstraction of the service provider’s network complexity, low footprint cloud native builder models, micro-services, hardware abstractions, intelligence layers and massive monitoring of application instances.
About the speaker: Shamik Mishra is currently Assistant Vice President (AVP), Technology and Innovation at Aricent. He is a practice leader for new product architectures. He has extensive experience and contributions in software development in cloud, wireless technologies, edge computing and platform software. His research interests are Network Function Virtualization (NFV), Cloud and edge computing and Machine Learning (ML). He has spoken in several conferences and his work is regularly covered in the media. Shamik has a bachelor’s and a master’s degree from Indian Institute of Technology (IIT) Kharagpur, India.
The Open Network Automation Platform (ONAP) is a leading Linux Foundation Networking open source project that provides fully automated orchestration and lifecycle management of NFV, SDN, analytics and edge computing services. While ONAP can be used for any network service, it is particularly beneficial for 5G and edge computing use cases. In this talk you will learn:
* What is ONAP
* What use cases does ONAP support
* What are the 5G/edge computing workload automation requirements
* How does ONAP support these requirements
* How can you get involved
IoT Meets the Cloud: The Origins of Edge ComputingMaria Gorlatova
History of edge computing: IoT meets the cloud. Lecture delivered as part of Duke University Electrical and Computer Engineering / Computer Science Special Topics course on Edge Computing designed and developed by the instructor.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/07/5g-and-ai-transforming-the-next-generation-of-robotics-a-presentation-from-qualcomm/
Kishore Chakravadhanula, Staff Product Manager at Qualcomm, presents the “5G and AI Transforming the Next Generation of Robotics” tutorial at the May 2021 Embedded Vision Summit.
Bringing together the transformative power of 5G and AI technologies is essential to driving the next generation of high-compute, low-power robots and drones for consumer, enterprise and industrial sectors. In this session, Chakravadhanula discusses how scaling 5G and AI will help solve a diverse set of robotics challenges—from enabling high-accuracy AI inferencing and superior power efficiency to enhanced security and connectivity.
Chakravadhanula explains why these advances are key to enabling the robotics ecosystem and accelerating growth in segments from automated guided vehicles, autonomous mobile robots, delivery robots and drones to inventory, industrial, and collaborative robots. Additionally, he highlights recent use cases including how our AI and computer vision technologies are enabling autonomous flight on Mars and enabling your home vacuum robot to map rooms and avoid obstacles.
Mobile edge computing an important step to a virtual world!Sophia Lorenn
Mobile Edge Computing is now known as Multi-access edge computing. It is an ETSI defined network architecture concept. Multi-Access Edge computing cloud computing activates computing of traffic and services from a centralized cloud to the edge of the network and closer to the customer.
In this deck, Greg Wahl from Advantech presents: Transforming Private 5G Networks.
Advantech Networks & Communications Group is driving innovation in next-generation network solutions with their High Performance Servers. We provide business critical hardware to the world's leading telecom and networking equipment manufacturers with both standard and customized products. Our High Performance Servers are highly configurable platforms designed to balance the best in x86 server-class processing performance with maximum I/O and offload density. The systems are cost effective, highly available and optimized to meet next generation networking and media processing needs.
“Advantech’s Networks and Communication Group has been both an innovator and trusted enabling partner in the telecommunications and network security markets for over a decade, designing and manufacturing products for OEMs that accelerate their network platform evolution and time to market.” Said Advantech Vice President of Networks & Communications Group, Ween Niu. “In the new IP Infrastructure era, we will be expanding our expertise in Software Defined Networking (SDN) and Network Function Virtualization (NFV), two of the essential conduits to 5G infrastructure agility making networks easier to install, secure, automate and manage in a cloud-based infrastructure.”
In addition to innovation in air interface technologies and architecture extensions, 5G will also need a new generation of network computing platforms to run the emerging software defined infrastructure, one that provides greater topology flexibility, essential to deliver on the promises of high availability, high coverage, low latency and high bandwidth connections. This will open up new parallel industry opportunities through dedicated 5G network slices reserved for specific industries dedicated to video traffic, augmented reality, IoT, connected cars etc. 5G unlocks many new doors and one of the keys to its enablement lies in the elasticity and flexibility of the underlying infrastructure.
Advantech’s corporate vision is to enable an intelligent planet. The company is a global leader in the fields of IoT intelligent systems and embedded platforms. To embrace the trends of IoT, big data, and artificial intelligence, Advantech promotes IoT hardware and software solutions with the Edge Intelligence WISE-PaaS core to assist business partners and clients in connecting their industrial chains. Advantech is also working with business partners to co-create business ecosystems that accelerate the goal of industrial intelligence."
Watch the video: https://wp.me/p3RLHQ-lPQ
* Company website: https://www.advantech.com/
* Solution page: https://www2.advantech.com/nc/newsletter/NCG/SKY/benefits.html
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
JCConf 2017 - Next Generation of Cloud Computing: Edge Computing and Apache E...Joseph Kuo
Cloud computing has been developed more than one decade and still keeps growing and growing. At the present time when we enjoy the huge benefits it brings to us, we are also aware of its deficiency that we have to enhance, especially for applications running against IoT. This session is to present the next generation of cloud computing: Edge Computing. We will introduce you what Edge Computing is, why we need it, and how it works with current cloud computing services. Furthermore, when we get involved into edge computing, we need a tool to help us to analysis real-time and continuous data streams generated by devices, equipment and systems on IoT. Therefore we will also present Apache Edgent, a programming model and micro-kernel style run-time, and show you how it works in conjunction with centralized analytic systems and provides efficient and timely analytic across the whole IoT ecosystem.
https://cyberjos.blog/java/seminar/jcconf-2017-next-generation-of-cloud-computing-edge-computing-and-apache-edgent/
Edge IoT is a technology Witekio believes in. It is now reaching an inflexion point. The need for responsiveness, local computing capacity (especially for data crunching, AI and machine learning), security, IoT bandwidth makes this«trend » relevant to face B2B and industrial challenges.
This presentation highlights the progress made in SDN/NFV in the past year. In terms of technology we have started to talk about use cases that require much deeper integration with existing network infrastructure. New revenues are increasingly becoming the dominant business rationale for adopting SDN and NFV – a shift from a CAPEX/OPEX driven focus last year. More importantly, we are evaluating the operational impacts of the migration and this is widely expected to be the long tail of this network evolution journey.
Edge Computing Platforms and Protocols - Ph.D. thesisNitinder Mohan
Introductory presentation for Ph.D. thesis of Nitinder Mohan titled "Edge Computing Platforms and Protocols". The defense took place at the University of Helsinki, Finland on 8th November 2019.
The video of the presentation is available at https://youtu.be/dDVZozTwreE
The thesis can be found on https://helda.helsinki.fi/handle/10138/306041
De-fogging Edge Computing: Ecosystem, Use-cases, and OpportunitiesMichelle Holley
This presentation is intended to provide clarity around Edge Computing by providing an overview of the edge computing ecosystem and providing context of it’s possibilities through a discussion around use-cases and highlighting opportunities for developers, enterprises, and large companies. We will focus more on practical implications of Edge Computing on business and consumer ecosystems rather than implementations.
Speaker: Faraz Hoodbhoy, Director Outreach Ecosystem & Innovation, AT&T
According to a new Gartner report1, “Around 10% of enterprise-generated data is created and processed outside a traditional centralized data center or cloud. By 2022, Gartner predicts this
figure will reach 75%”. In addition to hosting new 5G era services, the other major network operator driver for edge compute and edge clouds is deploying virtualized network infrastructure, replacing many dedicated hardware-based elements with virtual network functions (VNFs) running on general purpose edge compute. Even portions of access networks are being virtualized, and many of these functions need to be deployed close to end users. The combination of these infrastructure and applications drivers is a major reason that so much of 5G era network transformation resolves around edge cloud distribution.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/07/5g-and-ai-transforming-the-next-generation-of-robotics-a-presentation-from-qualcomm/
Kishore Chakravadhanula, Staff Product Manager at Qualcomm, presents the “5G and AI Transforming the Next Generation of Robotics” tutorial at the May 2021 Embedded Vision Summit.
Bringing together the transformative power of 5G and AI technologies is essential to driving the next generation of high-compute, low-power robots and drones for consumer, enterprise and industrial sectors. In this session, Chakravadhanula discusses how scaling 5G and AI will help solve a diverse set of robotics challenges—from enabling high-accuracy AI inferencing and superior power efficiency to enhanced security and connectivity.
Chakravadhanula explains why these advances are key to enabling the robotics ecosystem and accelerating growth in segments from automated guided vehicles, autonomous mobile robots, delivery robots and drones to inventory, industrial, and collaborative robots. Additionally, he highlights recent use cases including how our AI and computer vision technologies are enabling autonomous flight on Mars and enabling your home vacuum robot to map rooms and avoid obstacles.
Mobile edge computing an important step to a virtual world!Sophia Lorenn
Mobile Edge Computing is now known as Multi-access edge computing. It is an ETSI defined network architecture concept. Multi-Access Edge computing cloud computing activates computing of traffic and services from a centralized cloud to the edge of the network and closer to the customer.
In this deck, Greg Wahl from Advantech presents: Transforming Private 5G Networks.
Advantech Networks & Communications Group is driving innovation in next-generation network solutions with their High Performance Servers. We provide business critical hardware to the world's leading telecom and networking equipment manufacturers with both standard and customized products. Our High Performance Servers are highly configurable platforms designed to balance the best in x86 server-class processing performance with maximum I/O and offload density. The systems are cost effective, highly available and optimized to meet next generation networking and media processing needs.
“Advantech’s Networks and Communication Group has been both an innovator and trusted enabling partner in the telecommunications and network security markets for over a decade, designing and manufacturing products for OEMs that accelerate their network platform evolution and time to market.” Said Advantech Vice President of Networks & Communications Group, Ween Niu. “In the new IP Infrastructure era, we will be expanding our expertise in Software Defined Networking (SDN) and Network Function Virtualization (NFV), two of the essential conduits to 5G infrastructure agility making networks easier to install, secure, automate and manage in a cloud-based infrastructure.”
In addition to innovation in air interface technologies and architecture extensions, 5G will also need a new generation of network computing platforms to run the emerging software defined infrastructure, one that provides greater topology flexibility, essential to deliver on the promises of high availability, high coverage, low latency and high bandwidth connections. This will open up new parallel industry opportunities through dedicated 5G network slices reserved for specific industries dedicated to video traffic, augmented reality, IoT, connected cars etc. 5G unlocks many new doors and one of the keys to its enablement lies in the elasticity and flexibility of the underlying infrastructure.
Advantech’s corporate vision is to enable an intelligent planet. The company is a global leader in the fields of IoT intelligent systems and embedded platforms. To embrace the trends of IoT, big data, and artificial intelligence, Advantech promotes IoT hardware and software solutions with the Edge Intelligence WISE-PaaS core to assist business partners and clients in connecting their industrial chains. Advantech is also working with business partners to co-create business ecosystems that accelerate the goal of industrial intelligence."
Watch the video: https://wp.me/p3RLHQ-lPQ
* Company website: https://www.advantech.com/
* Solution page: https://www2.advantech.com/nc/newsletter/NCG/SKY/benefits.html
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
JCConf 2017 - Next Generation of Cloud Computing: Edge Computing and Apache E...Joseph Kuo
Cloud computing has been developed more than one decade and still keeps growing and growing. At the present time when we enjoy the huge benefits it brings to us, we are also aware of its deficiency that we have to enhance, especially for applications running against IoT. This session is to present the next generation of cloud computing: Edge Computing. We will introduce you what Edge Computing is, why we need it, and how it works with current cloud computing services. Furthermore, when we get involved into edge computing, we need a tool to help us to analysis real-time and continuous data streams generated by devices, equipment and systems on IoT. Therefore we will also present Apache Edgent, a programming model and micro-kernel style run-time, and show you how it works in conjunction with centralized analytic systems and provides efficient and timely analytic across the whole IoT ecosystem.
https://cyberjos.blog/java/seminar/jcconf-2017-next-generation-of-cloud-computing-edge-computing-and-apache-edgent/
Edge IoT is a technology Witekio believes in. It is now reaching an inflexion point. The need for responsiveness, local computing capacity (especially for data crunching, AI and machine learning), security, IoT bandwidth makes this«trend » relevant to face B2B and industrial challenges.
This presentation highlights the progress made in SDN/NFV in the past year. In terms of technology we have started to talk about use cases that require much deeper integration with existing network infrastructure. New revenues are increasingly becoming the dominant business rationale for adopting SDN and NFV – a shift from a CAPEX/OPEX driven focus last year. More importantly, we are evaluating the operational impacts of the migration and this is widely expected to be the long tail of this network evolution journey.
Edge Computing Platforms and Protocols - Ph.D. thesisNitinder Mohan
Introductory presentation for Ph.D. thesis of Nitinder Mohan titled "Edge Computing Platforms and Protocols". The defense took place at the University of Helsinki, Finland on 8th November 2019.
The video of the presentation is available at https://youtu.be/dDVZozTwreE
The thesis can be found on https://helda.helsinki.fi/handle/10138/306041
De-fogging Edge Computing: Ecosystem, Use-cases, and OpportunitiesMichelle Holley
This presentation is intended to provide clarity around Edge Computing by providing an overview of the edge computing ecosystem and providing context of it’s possibilities through a discussion around use-cases and highlighting opportunities for developers, enterprises, and large companies. We will focus more on practical implications of Edge Computing on business and consumer ecosystems rather than implementations.
Speaker: Faraz Hoodbhoy, Director Outreach Ecosystem & Innovation, AT&T
According to a new Gartner report1, “Around 10% of enterprise-generated data is created and processed outside a traditional centralized data center or cloud. By 2022, Gartner predicts this
figure will reach 75%”. In addition to hosting new 5G era services, the other major network operator driver for edge compute and edge clouds is deploying virtualized network infrastructure, replacing many dedicated hardware-based elements with virtual network functions (VNFs) running on general purpose edge compute. Even portions of access networks are being virtualized, and many of these functions need to be deployed close to end users. The combination of these infrastructure and applications drivers is a major reason that so much of 5G era network transformation resolves around edge cloud distribution.
Ericsson Technology Review: Creating the next-generation edge-cloud ecosystemEricsson
The surge in data volume that will come from the massive number of devices enabled by 5G has made edge computing more important than ever before. Beyond its abilities to reduce network traffic and improve user experience, edge computing will also play a critical role in enabling use cases for ultra-reliable low-latency communication in industrial manufacturing and a variety of other sectors.
This Ericsson Technology Review article explores the topic of how to deliver distributed edge computing solutions that can host different kinds of platforms and applications and provide a high level of flexibility for application developers. Rather than building a new application ecosystem and platform, we strongly recommend reusing industrialized and proven capabilities, utilizing the momentum created with Cloud Native Computing Foundation, and ensuring backward compatibility.
All the details of Fog Computing is discussed in this PPT, its better to get knowledge about this ppt,All the details of applications and examples are covered..
Getting to the Edge – Exploring 4G/5G Cloud-RAN Deployable SolutionsRadisys Corporation
View these slides, presented by Prakash Siva, VP, Technology & Strategy, hosted by Intel Network Builders, around the subject of Mobile Edge Computing.
Walking through the fog (computing) - Keynote talk at Italian Networking Work...FBK CREATE-NET
"Walking through the fog (computing): trends, use-cases and open issues"
Despite its huge success in many IT-enabled application scenarios, cloud computing has demonstrated some intrinsic limitations that may severely limit its adoption in several contexts where constraints like e.g. preserving data locally, ensuring real-time reactivity or guaranteeing operation continuity despite lack of Internet connectivity (or a combination of them) are mandatory. These distinguishing requirements fostered an increased interest toward computing approaches that inherit the flexibility and adaptability of the cloud paradigm, while acting in proximity of a specific scenario. As a consequence, the emergence of this “proximity computing” approach has exploded into a plethora of architectural solutions (and novel terms) like fog computing, edge computing, dew computing, mist computing but also cloudlets, mobile cloud computing, mobile edge computing (and probably few others I may not be aware of…). The talk will initially make an attempt to introduce some clarity among these “foggy” definitions by proposing a taxonomy whose aim is to help identifying their peculiarities as well as their overlaps. Afterwards, the most important components of a generalized proximity computing architecture will be explained, followed by the description of few research works and use cases investigated within our Center and based on this emerging paradigm. An overview of open issues and interesting research directions will conclude the talk.
5G and edge computing - CORAL perspectiveRichard Scott
Charles Turyagyenda from InterDigital Europe Ltd presented an overview of the opportunities and technical aspects of 5G edge computing at the first of Digital Catapult Centre Brighton's 5G workshops. These workshops were designed to raised awareness of the opportunities and features of 5G within small digital businesses, as well as identifying potential use cases to be take forward to be explored within the National 5G testbed for digital businesses in Brighton.
We are inviting small digital businesses to get in contact to discuss how they might exploit the 5G testbed. If you are interested in how you might do so please email digicatbrighton@wiredsussex.com
Whitepaper: Mobile Networks in a smart digital future - deploying a platform ...Petr Nemec
The Internet of Things poses particular challenges on the mobile networks of the future - this Whitepaper gives an outlook on what CSPs need to consider when choosing a viable upgrade path and migration strategy towards meeting IoT and NB-IoT (narrow band IoT) requirements.
What Is Edge Computing? Everything You Need to KnowDigital Carbon
Edge computing is transforming the way we process and utilize data in the era of 5G. This groundbreaking technology is redefining the rules for businesses by bringing computing resources closer to the data source, reducing latency, and enabling real-time decision-making.
Edge computing allows data produced by internet of things (IoT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds.
Doing this computing closer to the edge of the network lets organizations analyze important data in near real-time – a need of organizations across many industries, including manufacturing, health care, telecommunications and finance.Edge computing deployments are ideal in a variety of circumstances. One is when IoT devices have poor connectivity and it’s not efficient for IoT devices to be constantly connected to a central cloud.
Other use cases have to do with latency-sensitive processing of information. Edge computing reduces latency because data does not have to traverse over a network to a data center or cloud for processing. This is ideal for situations where latencies of milliseconds can be untenable, such as in financial services or manufacturing.
Blockchain technology and its’ usecases in computer networksSabidur Rahman
Originated in the domain of cryptocurrency and FinTech, Blockchain has been disrupting many industries. This presentation discusses how trusted communication technology introduced by Blockchain can be useful for emerging computer communications scenarios such as IoT, Smart City, and Vehicular Networks.
Benefits of SDN is coming to transport network. But, transport network poses more challenges with heterogeneous, vendor-specific technologies. This opens up interesting research directions as well!
5 g and beyond! IEEE ICC 2018 keynotes reviewedSabidur Rahman
IEEE ICC is the flagship conference of IEEE communication society. This year (2018), the keynotes from industry leaders shows vision on how 5G is going to change and expand the industry dramatically.
Understanding mobile service usage and user behavior pattern for mec resource...Sabidur Rahman
Zettabytes of data is collected every minute (which qualifies as Big Data) on mobile service usage and network status from all over the network. But the data was not actionable because Network being static hardware and lack of proper orchestration/management . With the moving trend towards Virtualization of Network and Mobile Edge Computing, we see a future where collected data can lead to actionable Resource Management.
The Internet of Things (IoT) comes with great possibilities as well as major security and privacy issues. Although digital forensics has long been studied in both academia and industry, mobility forensics is relatively new and unexplored. Mobility forensics deals with tools and techniques that work towards forensically sound recovery of data and evidence from mobile devices [1]. In this paper, we explore mobility forensics in the context of IoT. This paper discusses the data collection and classification process from IoT smart home devices in details. It also contains attack scenario based analysis of collected data and a proposed mobility forensics model that fits into such scenarios.
Cite: K. M. S. Rahman, M. Bishop, and A. Holt, “Internet of Things Mobility Forensics,” INSuRE Conference, 2016.
Network tomography to enhance the performance of software defined network mon...Sabidur Rahman
Monitoring and management of SDN is a challenging and active field of research. In this project, we have used Network Tomography techniques to enhance performance of SDN monitoring and management.
Approximation techniques used for general purpose algorithmsSabidur Rahman
Survey on approximation techniques used for general purpose algorithms, data parallel applications ans solid-state memories. It is interesting to see how approximation algorithms can contribute to solve real-life problems with better efficiency and lower cost!
Questions? krahman@ucdavis.edu.
"A Worst-Case Worm" by Nicholas Weaver and Vern Paxson is an interesting paper. This shows how we can model the cost of such attacks in terms of real money.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
The affect of service quality and online reviews on customer loyalty in the E...
Innovations in Edge Computing and MEC
1. Innovations in Edge Computing and MEC
Latest in Multi-access Edge Computing, Fog Computing, Distributed Clouds
Sabidur Rahman
Netlab, UC Davis
Email: krahman@ucdavis.edu
http://www.linkedin.com/in/kmsabidurrahman/
Review of Industry Report by
2. Agenda
• Introduction to Edge Computing and MEC
• Why Cloud is not enough?
• Edge computing usecases: operator and 3-rd party applications
• MEC Infrastructure Ecosystem (Hardware and Software)
• Barriers to Adoption
• Edge Computing and MEC Products
Review of Industry report by SDxCentral:
https://www.sdxcentral.com/reports/mec-edge-computing-download-2017/
3. Introduction
• 5G is enabling new applications for enterprises and consumers including
▪ augmented reality
▪ virtual reality
▪ IoT
▪ autonomous vehicles and more!
• Communications service providers (CSPs) worldwide have recognized need for compute,
storage and networking infrastructure to be placed close to the locations where these
applications are consumed
• The benefits of MEC and Edge Computing
▪ reduced latency,
▪ improved throughput,
▪ better security and isolation,
▪ data reduction
▪ context- and location-awareness
4. Definition of MEC
• Multi-access Edge Computing
(MEC), or simply edge
computing, is the application
of cloud architecture
principles to compute,
storage and networking
infrastructure close to the
user, at the edge of a
network.
• Edge computing is typically
located at the access point,
one hop away from the user.
• Fog computing is a superset
of edge computing, and
essentially includes everything
that is not a cloud.
Radio Area Network (RAN) for LTE/5G
Radio Network Controller (RNC) for WiFi
Cable Modem Termination System (CMTS) for cable
PON OLT for fiber
5. Why cloud computing is not adequate for all
requirements?
1. Latency: Edge can provide latency in milliseconds (compare CDNs in 50-150ms range)
2. High throughput: Throughput available to the user from the edge, served via cached or locally
generated content
3. Data reduction: By running applications such as data analytics at the edge, operators and
application vendors can substantially cut down the amount of data that has to be sent upstream ->
cost reduction
4. Context awareness: Edge has access to radio network, user and location information that is
provided by RAN. This information can be used by edge applications
5. Security: CSPs can protect their networks against attacks from user equipment (UE) or customer
premise equipment (CPE) using edge security applications
6. Isolation: A number of environments are not always connected to the Internet over high speed
links. An edge cloud is able to provide services during periods of degraded or lost connections ->
disaster resilience
7. Operator Applications
• Analytics: Edge collects a large amount of data about users, network conditions, local
context, consumer behavior etc. that can be invaluable to automation, big data
applications, machine learning etc.
• Compliance: ranges from copyright enforcement to geographical data placement.
Copyright enforcement comes in play during concerts, plays, sports events etc. where an
audience member does not have the rights to transmit the event video via their cell
phone. An edge application could either disable the upstream transmission completely or
reduce the resolution to make the transmission compliant.
• Security: Edge computing allows for applications such as DDOS and cyber security to
prevent these types of attacks, and moves the security perimeter closer to the source.
• NFV: Network Functional Virtualization (NFV) is not an edge application, strictly speaking.
However, access virtual network functions (VNFs) such as vRAN, C-RAN, vCMTS, vOLT
need to run at the same location as edge computing.
9. 3-rd Party Applications
• Real-time
▪ Increasing number of applications are real-time in nature and cannot tolerate latency
more than in the order of 10’s of milliseconds.
▪ Applications are also sensitive to jitter (the variation in latency).
▪ AR/VR, connected cars, tactile internet, Industry 4.0 and smart cities.
• Immersive
▪ Bandwidth available from the MEC to the UE/CPE will create a wide range of new
immersive applications.
▪ Premium HD, 360° and 4K video can be cached and optimized at the edge.
▪ Network level metrics (round-trip-delay, packet loss, etc.) can improve by 30-60%.
10. Cost reduction
▪ Video surveillance, face recognition, vehicle number plate recognition, IoT gateway, big-data analytics.
▪ For example, in video surveillance, it would be exorbitantly expensive to send all video feeds from all
cameras to the cloud. Instead, Edge can perform motion detection and threat recognition to send only
relevant frames to the cloud.
▪ In an IoT gateway, where even though the bandwidth may not be high, sending billions of events to the cloud
would be expensive and inefficient vs. handling them at the edge with an IoT gateway.
3-rd Party Applications
11. • Self-contained
▪ Cruise ships, planes, mines, farms, oil rigs, trains, pipelines, wind farms, solar power plants, electric
grids etc.
▪ Flights offering movies over WiFi is an early example of this use case. Data from these locations could
ultimately be synchronized with the cloud when connectivity is available, e.g. when a ship docks or a
plane lands.
▪ Stadiums, concerts, airports, places of worship, universities and smart buildings where the edge can
offer local services. For example, an edge application could allow stadium viewers to watch a game
from numerous perspectives and offer them personalized high-definition content without burdening
upstream/backhaul bandwidth. It would be impractical to do this from the cloud.
• Private (Enterprise usecases)
▪ If an enterprise wants to provide connectivity directly from the RAN to the enterprise for security
reasons, the edge provides an excellent platform.
▪ The edge, especially when it includes vCPE, is also an excellent location to provide branch connectivity
and other enterprise services.
▪ Privacy may also be addressed by other third-party applications such as medical applications that need
to anonymize personal health information (PHI) before sending it to the cloud.
3-rd Party Applications
12. Key Edge Computing and MEC Usecases
52% of the survey participants were technology vendors; 22% telecommunications service providers, 14% other, 8% enterprises and 4% cloud service providers
14. Edge Computing and MEC Infrastructure
Ecosystem
• Hardware
▪ Universal customer premises equipment (uCPE): With VNFs and edge services running at a
customer premise, devices such as uCPE, that offer a certain amount of compute, possibly
storage and different network connections are likely to get popular.
▪ Edge compute nodes: A new breed of ruggedized servers and server chambers are emerging
that will be co-located with the radio e.g. eNodeB.
▪ Servers optimized for the central office: Several vendors are targeting a CORD or virtual
central office (VCO) with optimized servers (see OCP below).
▪ Micro data centers and Micro-Modular data center: A smart city could require a location
next to a highway as the edge; examples such as these will require micro datacenters (<
100kW, < 20 racks) in a wide range of locations.
▪ Data plane acceleration: Edge will have to be extremely efficient given the fixed and limited
amount of real-estate available. For this reason, data plane acceleration ranging from
SmartNICs, GPGPU for machine learning and FPGA accelerators will gain popularity.
15. Edge Computing and MEC Infrastructure
Ecosystem
• Software
▪ Analytics software: Given the hierarchical and autonomous architecture of the edge, a
variety of analytics solutions will be required all the way from the edge to a central location
▪ Management and orchestration: Comprehensive management and orchestration solutions
will be required to manage a very large number of edge compute instances. If these locations
need NFV as well, an interesting trend to watch might be the convergence of edge application
management and orchestration with ETSI NFV MANO (management and orchestration)
platforms
▪ Security: We expect a variety of security software solutions to emerge
▪ Edge node software: Software that powers clouds may be too heavy for the edge. We expect
innovations that will extract maximum efficiency out of the edge platform
▪ Application hierarchy management: Applications will span multiple tiers, all the way from
on-premise to the cloud. Application developers will need tools to distribute their application
across different locations based on latency, performance, cost and other parameters
16. Edge Computing and MEC Products
• Intel
▪ Intel Network Edge Virtualization (NEV) SDK is the first kit of its kind to provide an NFV platform targeted
for Mobile-Edge Computing application and services
▪ NEV SDK includes an Intel Atom or Intel Xeon processor-based server that is fully configurable with real
time virtualization software
▪ Intel’s Edge Computing reference libraries for directing radio traffic information to the virtual machines
• Nokia
▪ Nokia Multi-access Edge Computing (MEC) platform takes full advantage of the telco cloud, enabling new
possibilities to serve the operator’s radio network and to coexist with our other VNFs
• Vasona
▪ The software-based architecture enables MEC deployments
▪ Provides APIs to let third-party application developers access RAN characteristics and traffic functions,
such as details about real-time cell congestion conditions for MEC deployments that span IoT, streaming
video and more
17. Edge Computing and MEC Products
• Ericsson
▪ Ericsson SSR 8000 family of Smart Services Routers, provides operators with a highly scalable, consolidated
platform that offers services for both fixed and mobile network infrastructure
▪ It offers services such as IP/MPLS edge routing and Evolved Packet Gateway functionalities
• HPE
▪ HPE Intelligent Edgeline portfolio enables organizations to extract business value from the massive
amounts of data produced in a plant, branch office, retail outlet, or Internet of Things (IoT) edge
▪ Edgeline EL1000 provides edge compute, precision data capture and control, data center-class security,
device and systems management, and large storage capabilities in one converged box
• Huawei
▪ Huawei CloudEdge is a mobile broadband (MBB) solution developed based on Network Functions
Virtualization (NFV), service oriented architecture (SOA), and cloud architecture
18. Edge Computing and MEC Products
• Dell EMC
▪ micro Modular Data Centers (MDCs) for service providers who want to enable edge computing
▪ Dell EMC micro MDCs are small, nimble datacenters that are pre-integrated with compute, storage,
networking, power & cooling and even IoT gateways
▪ Dell EMC micro MDCs can be placed virtually anywhere in the world to speed the analysis of local data
while providing rapid installation and quick time to value
• Saguna
▪ The Open-RAN product is a SW solution which is optimized for High performance and low latency.
▪ a 1RU entry level server, 20Gbps throughput, less then 400 microseconds latency
▪ A full Mobile Edge Platform manager to dynamically automate the whole lifecycle management of the
deployed applications
• ASOCA
▪ The vBS transforms all layers and functions of the traditional base-station from proprietary hardware to
software virtualized on standard COTS servers
▪ An open and interoperable platform that allows for dynamic and automated capacity allocation, capacity
additions via software configuration and a 5G -ready platform
19. Summary
• Cloud is not adequate for many existing and emerging applications
• Adoption towards MEC (architecture, monetarization, hardware,
software) is not figured out yet
• MEC provides more data to be analyzed, more decisions to be made
and new research problems to be solved