Fog computing is a new networking paradigm that extends cloud computing to the edge of the network, enabling data processing to occur closer to sensors and devices. It involves using small computing devices with storage and networking capabilities at the edge of the network, rather than sending all data to the cloud. This allows for real-time response and processing of data from the billions of devices that will be connected as part of the Internet of Everything. Cisco researchers are developing the architecture for fog computing to help support the growth of smart grids, smart cities, and other applications requiring low latency processing of data from devices.
Good Tech: Can Technology Tackle Wicked Problems?Benjamin Tincq
As digital transformation and tech progress accelerates, it has never been easier to leveraging tech to solve complexe problems: from digital circular fabrication, to low-cost open source prosthetics, drone-based industrial reforestation or artificial intelligence to tackle unemployment. In this keynote, I presented a few areas where tech could help us build a better world, while suggesting some design principles to ensure long-term sustainability, mission alignment, fair value distribution.
Slides from a speech I gave at ColaborAmerica 2016 in Rio De Janeiro, on November 18th, 2016.
My slides (extended) from the plenary session: "Digital Economies: Reconfiguring uneven geographies" at the 4th Global Conference on Economic Geography (http://www.gceg2015.org/) in Oxford in Aug 2015.
Congresso Sociedade Brasileira de Computação CSBC2016 Porto Alegre (Brazil)
Workshop on Cloud Networks & Cloudscape Brazil
Sergio Takeo Kofuji, Assistant Professor at the University of São Paulo, Coordinator to FI WARE LAB in University of São Paulo, Brazil
The European Commission, in a recent communication (April 19th), has identified 5G and Internet of Things (IoT) amongst the ICT standardisation priorities for the Digital Single Market (DSM). This session will discuss the emergence of the mobile edge computing paradigm to reduce the latency for processing near the source large quantities of data and the need of the emerging 5G technology to satisfy the requirements of different verticals. Mobile Edge Clouds have the potential to provide an enormous amount of resources, but it raises several research challenges related to the resilience, security, data portability and usage due to the presence of multiple trusted domains, as well as energy consumption of battery powered devices. Large and centralized clouds have been deployed and have shown how this paradigm can greatly improve performance and flexibility while reducing costs. However, there are many issues requiring solutions that are user and context aware, dynamic, and with the capability to handle heterogeneous demands and systems. This is a challenge triggered by the Internet of Things (IoT) scenario, which strongly requires cloud-based solutions that can be dynamically located and managed, on demand and with self-organization capabilities to serve the purposes of different verticals.
Internet of Things (IoT) represents a remarkable transformation of the way in which our world will soon interact. Much like the World Wide Web connected computers to networks, and the next evolution connected people to the Internet and other people, IoT looks poised to interconnect devices, people, environments, virtual objects and machines in ways that only science fiction writers could have imagined.
In this presentation, Naveen introduces fog computing and how it can enable the functioning of IoT devices. Naveen's interest area lies in improving network security in IoT devices.
Good Tech: Can Technology Tackle Wicked Problems?Benjamin Tincq
As digital transformation and tech progress accelerates, it has never been easier to leveraging tech to solve complexe problems: from digital circular fabrication, to low-cost open source prosthetics, drone-based industrial reforestation or artificial intelligence to tackle unemployment. In this keynote, I presented a few areas where tech could help us build a better world, while suggesting some design principles to ensure long-term sustainability, mission alignment, fair value distribution.
Slides from a speech I gave at ColaborAmerica 2016 in Rio De Janeiro, on November 18th, 2016.
My slides (extended) from the plenary session: "Digital Economies: Reconfiguring uneven geographies" at the 4th Global Conference on Economic Geography (http://www.gceg2015.org/) in Oxford in Aug 2015.
Congresso Sociedade Brasileira de Computação CSBC2016 Porto Alegre (Brazil)
Workshop on Cloud Networks & Cloudscape Brazil
Sergio Takeo Kofuji, Assistant Professor at the University of São Paulo, Coordinator to FI WARE LAB in University of São Paulo, Brazil
The European Commission, in a recent communication (April 19th), has identified 5G and Internet of Things (IoT) amongst the ICT standardisation priorities for the Digital Single Market (DSM). This session will discuss the emergence of the mobile edge computing paradigm to reduce the latency for processing near the source large quantities of data and the need of the emerging 5G technology to satisfy the requirements of different verticals. Mobile Edge Clouds have the potential to provide an enormous amount of resources, but it raises several research challenges related to the resilience, security, data portability and usage due to the presence of multiple trusted domains, as well as energy consumption of battery powered devices. Large and centralized clouds have been deployed and have shown how this paradigm can greatly improve performance and flexibility while reducing costs. However, there are many issues requiring solutions that are user and context aware, dynamic, and with the capability to handle heterogeneous demands and systems. This is a challenge triggered by the Internet of Things (IoT) scenario, which strongly requires cloud-based solutions that can be dynamically located and managed, on demand and with self-organization capabilities to serve the purposes of different verticals.
Internet of Things (IoT) represents a remarkable transformation of the way in which our world will soon interact. Much like the World Wide Web connected computers to networks, and the next evolution connected people to the Internet and other people, IoT looks poised to interconnect devices, people, environments, virtual objects and machines in ways that only science fiction writers could have imagined.
In this presentation, Naveen introduces fog computing and how it can enable the functioning of IoT devices. Naveen's interest area lies in improving network security in IoT devices.
Fog computing or fog networking, also known as fogging, is an architecture that uses edge devices to carry out a substantial amount of computation, storage, and communication locally and routed over the internet backbone.
Topic: Moving from Cloud Computing to Fog Computing: How the “Internet of Things will Change the Way We Live and Work
Speaker: Jeff Hagins, Co-founder & CTO, SmartThings
Future Proof Your Network Today To Support IOT TomorrowTyrone Systems
The market will grow from 15.4 billion devices in 2015 to 75.4 billion in 2025. Despite this increase in data, and no matter what new IoT technology or application is announced, users’ expectations remain high — networks must be up and running constantly and bandwidth must always available. Are you ready for it?
How To Stay Covered in the Mobile Work DownpourCitrix Online
Once upon a time people went to the office five days a week. They commuted and were only able to complete their work at the office. Find out what happened when the digital rains arrived, empowering people to connect to their work from other locations.
In this webinar, Prescient’s President and CEO Toby Ward discusses the secrets to convincing senior executives about the value of an intranet redesign.
Fog computing or fog networking, also known as fogging, is an architecture that uses edge devices to carry out a substantial amount of computation, storage, and communication locally and routed over the internet backbone.
Topic: Moving from Cloud Computing to Fog Computing: How the “Internet of Things will Change the Way We Live and Work
Speaker: Jeff Hagins, Co-founder & CTO, SmartThings
Future Proof Your Network Today To Support IOT TomorrowTyrone Systems
The market will grow from 15.4 billion devices in 2015 to 75.4 billion in 2025. Despite this increase in data, and no matter what new IoT technology or application is announced, users’ expectations remain high — networks must be up and running constantly and bandwidth must always available. Are you ready for it?
How To Stay Covered in the Mobile Work DownpourCitrix Online
Once upon a time people went to the office five days a week. They commuted and were only able to complete their work at the office. Find out what happened when the digital rains arrived, empowering people to connect to their work from other locations.
In this webinar, Prescient’s President and CEO Toby Ward discusses the secrets to convincing senior executives about the value of an intranet redesign.
Fog Computing Reality Check: Real World Applications and ArchitecturesBiren Gandhi
Is Fog Computing just a buzz or a real business?
The IoT is flooded with a variety of platforms and solutions. Fog Computing has been notably appearing as an evolving term in the context of IoT software. There is skepticism that Fog Computing is just another buzzword destined to disappear in the dust of time. Get insight from concrete business cases in a variety of IoT verticals – Agriculture, Industrial Manufacturing, Transportation, Smart & Connected Communities etc. and learn how Fog Computing can play a substantial role in each one of these verticals. Develop a judicious point of view with respect to the future of Fog Computing through market research, technology disruption vectors and ROI use cases presented in this session.
IoT Microservices at the Edge with Eclipse ioFogKilton Hopkins
Learn how Eclipse ioFog open-source Fog Computing lets you create microservices for the Internet of Things and run them in any physical location you desire.
Improving Web Siste Performance Using Edge Services in Fog Computing Architec...Jiang Zhu
We consider web optimization within Fog Computing context. We apply existing methods for web optimization in a novel manner, such that these methods can be combined with unique knowledge that is only available at the edge (Fog) nodes. More dynamic adaptation to the user’s conditions (eg. network status and device’s computing load) can also be accomplished with network edge specific knowledge. As a result, a user’s webpage rendering performance is improved beyond that achieved by simply applying those methods at the webserver or CDNs.
Cutting edge cloud technologies: 5G, Cloud and IoT, Fog computingEUBrasilCloudFORUM .
Congresso Sociedade Brasileira de Computação CSBC2016 Porto Alegre (Brazil)
Workshop on Cloud Networks & Cloudscape Brazil
Andrea Bondavalli, Professor of Computer Science at the University of Florence, Italy
Cutting edge cloud technologies: 5G, Cloud and IoT, Fog computing
Fog computing is a model in which data, processing and applications are concentrated in devices at the network edge rather than existing almost entirely in the cloud.
Fog Computing is a paradigm that extends Cloud Computing and services to the edge of the network, similar to Cloud, Fog provides data, compute, storage, and application services to end-users.
An increasing number of Consumer and Internet Internet of Things applications require some form of edge computing characterised by low latency, peer-to-peer communication, and mobility. Fog computing has recently emerged as the paradigm to address the needs of edge computing in IoT applications. Fog computing complements Cloud computing to allow the design and implementation of IoT systems that scale better, are more reactive and in which local communication and decision is enabled whenever possible.
This presentation introduces the key concepts behind Fog Computing, compare and contrast it with Cloud Computing and explain how the VORTEX platform enables Fog computing architectures.
The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
Fog Computing – between IoT Devices and The Cloud presentation covers following topics:
- Edge, Fog, Mist & Cloud Computing
- Fog domains and fog federation, wireless sensor networks, - multi-layer IoT architecture
- Fog computing standards and specifications
- Practical use-case scenarios & advantages of fog
- Fog analytics and intelligence on the edge
- Technologies for distributed asynchronous event processing - and analytics in real time
- Lambda architecture – Spark, Storm, Kafka, Apex, Beam, Spring - Reactor & WebFlux
- Eclipse IoT platform
The proliferation of Internet of Things (IoT) and the success of rich cloud services have pushed the horizon of a new computing paradigm, edge computing, which calls for processing the data at the edge of the network. Edge computing has the potential to address the concerns of response time requirement, battery life constraint, bandwidth cost saving, as well as data safety and privacy. In this paper, we introduce the definition of edge computing, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative edge to materialize the concept of edge computing. Finally, we present several challenges and opportunities in the field of edge computing, and hope this paper will gain attention from the community and inspire more research in this direction.
Edge computing refers to the enabling technologies allowing computation to be performed at the edge of the network, on downstream data on behalf of cloud services and upstream data on behalf of IoT services. Here we define “edge” as any computing and network resources along the path between data sources and cloud data centers. For example, a smart phone is the edge between body things and cloud, a gateway in a smart home is the edge between home things and cloud, a micro data center and a cloudlet is the edge between a mobile device and cloud. The rationale of edge computing is that computing should happen at the proximity of data sources. From our point of view, edge computing is interchangeable with fog computing, but edge computing focus more toward the things side, while fog computing focus more on the infrastructure side. Edge computing could have as big an impact on our society as has the cloud computing.
RPA - The new era of robotics and beyondRaymond Koh
To understand robotics, let us take a brief look back at the beginnings and the progress made over
the past 60 years (see diagram, “Robotics timeline”).
Constellation’s technology will enable the advancement of the digital revolution by creating an ecosystem facilitating decentralized applications throughout a scalable distributed network. Constellation acts as a centerpiece framework that other applications can integrate with, without giving away data security and application dependency. Furthermore, our goal is to leverage existing technologies in distributed computing, big data and machine learning that are widely used among developer communities, and apply them to a decentralized distributed network.
https://runfrictionless.com/b2b-white-paper-service/
The cloud is revolutionising how business is done nowadays as BYOD, remote working, mobility and security are becoming increasingly important.
In this presentation, we look at how technology has evolved over the years and how businesses can make the most of these changes.
With the invention of new Li-fi technology, you will soon find light bulbs of your car, light lamps in your room, lights in subway, flashlight of your mobile and any other light source are providing you internet access at very high speed.Li-fi technology is the another milestone in the history of information technology. You have got the idea that Li-Fi Technology is something light. Yes, Li-fi technology or light-fidelity technology transmits data wirelessly at high speeds with the use of light emitting diodes.
Digital Networks & Platform Business Models (Masterclass)Benjamin Tincq
Slides from a Masterclass I did at WeFab in São Paulo, for business executives and entrepreneurs:
1) Introduction
2) The Long Tail of Production
3) Uberization? No: Platform Economy
4) Open, Collaborative & Decentralized
5) Exercise: The Platform Design Toolkit
Small, Dumb, ¬¬Cheap, and Copious – the Future of the Internet of Things,
Abstract
Over the next decade, billions of interconnected devices will be monitoring and responding to transportation systems, factories, farms, forests, utilities, soil and weather conditions, oceans, and other resources.
The unique characteristic that the majority of these otherwise incredibly diverse Internet of Things (IOT) devices will share is that they will be too small, too dumb, too cheap, and too copious to use traditional networking protocols such as IPv6.
For the same reasons, this tidal wave of IOT devices cannot be controlled by existing operational techniques and tools. Instead, lessons from Nature’s massive scale will guide a new architecture for the IOT.
Taking cues from Nature, and in collaboration with our OEM licensees, MeshDynamics is extending concepts outlined in the book “Rethinking the Internet of Things” to real-world problems of supporting “smart: secure and scalable” IOT Machine-to-Machine (M2M) communities at the edge.
Simple devices, speaking simply
Today companies view the IOT as an extension of current networking protocols and practices. But those on the front lines of the Industrial Internet of Things are seeing problems already:
“While much of the ink spilled today is about evolutionary improvements using modern IT technologies to address traditional operational technology concerns, the real business impact will be to expand our horizon of addressable concerns. Traditional operational technology has focused on process correctness and safety; traditional IT has focused on time to market and, as a recent concern, security. Both disciplines have developed in a world of relative scarcity, with perhaps hundreds of devices interconnected to perform specific tasks. The future, however, points toward billions of devices and tasks that change by the millisecond under autonomous control, and are so distributed they cannot be tracked by any individual. Our existing processes for ensuring safety, security and management break down when faced with such scale. Stimulating the redevelopment of our technologies for this new world is a focal point for the Industrial Internet Consortium.”
Mary Barnsdale article about Fog Computing for Cisco
1. Fog Computing - CEC - Cisco Confidential
http://wwwin.cisco.com/tech/innovation/fog/index.shtml[2/8/2014 2:52:06 PM]
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Unleashing Innovation: The
Enterprise Networking Group
Innovation Fund
These innovators have their sights set "low" – on an emerging networking
paradigm that echoes cloud computing but is "much closer to the ground,"
according to Flavio Bonomi. (Clockwise from upper left: Flavio, Jiang Zhu,
Don Banks, and Rodolfo Milito.)
About Fog Computing The Fog Four Resources & Related Sites
Watch the video: Cisco fellow Flavio
Bonomi shares his passion of fog
computing and explains the importance of
this trend as the Internet of Everything is
realized
"The Internet of Everything is changing
how we interact with the real world.
Things that were totally disconnected
from the Internet before, such as cars,
are now merging onto it."
Fog Computing: The Platform That Could Launch A Trillion Objects
As the Internet of Everything heats up, Cisco engineers propose a new networking paradigm for the edge of the
network
Early on November 3, 2007, heavy fog caused a traffic pile-up that eventually
included 108 passenger vehicles and 18 big-rig trucks on a busy highway in
California's San Joaquin Valley.
Fog may provide life-sustaining moisture for California's ancient sequoia trees, but
it has been the bane of transportation ever since the first stage coaches began
clattering up and down the Golden State in the mid-1800s.
Some 150 years later, a new kind of fog emanating out of Silicon Valley could
make traffic pile-ups worldwide a thing of the past.
Fog computing (also known as distributed field area networking) would use small
devices, each with some computing, storage, and networking capability, at the very
edge of the network. Each tiny, hardened "data center in a box" could process
certain transactions locally – which would be faster and more efficient than
sending them to the cloud and back. When the truck ahead of you brakes unexpectedly, you want your car's sensors to get
that information from the other vehicle instantly. And some data – such as available parking spaces at the mall – might
have no lasting value and never need to go to the cloud at all.
"Fog is an expansion of the cloud paradigm," says Cisco Fellow Flavio Bonomi, who leads the Advanced Architecture and
Research team. "It's similar to cloud but closer to the ground. Fog computing architecture extends the cloud out into the real
world, the physical world of things."
Fog computing would support sensors (which typically measure, detect, and collect data) and actuators – which are devices
that can perform a physical action such as closing a valve, moving the arms of a robot, or exercising the brakes in a car.
Fog could also take a burden off the network. As 50 billion objects become
connected worldwide by 2020, it will not make sense to handle everything in the
cloud. Distributed apps and edge-computing devices need distributed resources.
Fog brings computers to the data. Low-power devices, close to the edge of the
network, can deliver real-time response.
Smart grid is a good example. "You cannot drive the smart grid from the cloud.
You need to be able to react at the periphery, quickly," Flavio says.
Fog could also handle critical data in places where access to the cloud is difficult, slow, or expensive. On a deep-sea oil
rig, the fog device would monitor vital sensors in real time but transmit only select or aggregated data over the satellite
connection.
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2. Fog Computing - CEC - Cisco Confidential
http://wwwin.cisco.com/tech/innovation/fog/index.shtml[2/8/2014 2:52:06 PM]
"This is the beginning of an incredible
30- to 40-year process and build-out.
Cisco can be a major contributor to an
enormous transition. If we don't,
others will – and they will be the future
winners in IT."
Fog may seem intuitively obvious to some but it's extremely disruptive to traditional networking. Distinguished Engineer Don
Banks is working with the fog team to develop the architecture for fog computing, and he says that introducing a new
networking paradigm is the biggest challenge.
"Unlike routers or switches, fog computing devices are multi-use," Don says. "They provide computing, storage, and
networking in one device. And they're multi-tenant, which means that one device could support several different
organizations and companies. That requires a highly virtualized and secure system architecture."
According to Technical Leader Jiang Zhu, whose expertise is distributed
computing, "The edge of the network is a different landscape. The environment
changes dynamically. Users come and go, and there are big peaks and valleys in
demand. And there are all kinds of devices, using many operating systems and
computing architectures."
As Big Data and the Internet of Everything pick up steam, the complexities will be
compounded. That's why Jiang's role is called "orchestration." The conductor behind the scenes, he is developing policy-
based orchestration systems and a common interface so that all devices speak a common language and the large-scale
distribution of applications and services at the edge of the network is possible.
At first, specialized devices might be needed for data from some proprietary industry networks. Eventually, all networks are
likely to migrate to IP because it is less expensive and lets companies take advantage of the Internet of Everything.
Technical Leader Rodolfo Milito, one of Cisco's thought leaders in fog computing, has developed compelling use cases for
the oil and gas industry, healthcare, retail, transportation, Smart and Connected Communities, and Smart Grid. In the future,
he says, multiple homes in a neighborhood might even share a small "edge data center."
"The Internet of Everything is changing how we interact with the real world," Rodolfo says. "Things that were totally
disconnected from the Internet before, such as cars, are now merging onto it. But as we go from one billion endpoints to
one trillion endpoints worldwide, that creates not only a real scalability problem but the challenge of dealing with complex
clusters of endpoints – what we call 'rich systems' – in addition to individual endpoints. Fog's hardware infrastructure and
software platform helps solve that."
In addition to Don, Flavio, Jiang, and Rodolfo, the fog initiative benefits from the contributions of many members of
Advanced Architecture and Research and beyond, including Chuck Byers, David Maluf, Xiaoqing Zhu, Hao Hu, Mythili
Prabhu, Preethi Natarajan, Sateesh Addepalli, Mario Nemirovsky, Yuval Bachar, and others. Thanks to the Tech Fund, the
team has also added Marcelo Yannuzzi, Xavi Masip, and Rene Serral-Gracia in Barcelona, who are working on advanced
applications demos.
The Internet of Everything is a potentially huge market transition, and fog computing is a platform that will enable it.
"This is an amazing, amazing time," Flavio says. "This is the beginning of an incredible 30- to 40-year process and build-
out. Cisco can be a major contributor to an enormous transition. If we don't, others will – and they will be the future winners
in IT."
Cisco Systems, Inc. Cisco Confidential
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