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AGENDA

Days


Tracks

Monday, October 01, 2018
7:30am
Monday - 10/1/18
()
Registration & Breakfast
X-01
  
8:30am
Monday - 10/1/18
9:00am
Monday - 10/1/18
Research ()
Opening Remarks - IEEE Communications Society
R-00
Board Governor IEEE Communications Society
Tutorial Training ()
Fog Computing 101 - Introduction to Fog, Edge, and Mobile Edge Computing
TT-01
Senior Technical Lead and Platform Architect Cisco
  Research
  Tutorial Training
9:10am
Monday - 10/1/18
Research ()
Fog Computing for Robotics and Industrial Automation – The FORA Project
R-01
Associate Professor in Distributed Systems and Security and Professor in Computer Engineering DTU Compute, Technical University of Denmark and Centre for Applied Autonomous Sensor Systems, Örebro University
We are at the beginning of a new industrial revolution, Industry 4.0, which will only become a reality through the convergence of Operational and Information Technologies (OT & IT), and this convergence will be achieved through Fog Computing. In this talk, I will introduce the Fog computing paradigm from a particular perspective as the glue between IoT, Cloud, and Edge computing. Then, I will present the FORA (Fog Computing for Robotics and Industrial Automation) project, a H2020 European Training Network (ETN) that will fund and train 15 PhD candidates in the area of Fog Computing, during the period 2017-2021. Last but not least, I will focus on one of the key aspects of this “Fog revolution,” namely cybersecurity.
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  Research
9:40am
Monday - 10/1/18
Research ()
Fog Computing and Communications for QoE-Aware Multimedia Services
R-02
Professor National Taiwan University
  Research
10:00am
Monday - 10/1/18
Tutorial Training ()
Fog Computing 201 - Introduction to OpenFog Reference Architecture
TT-02
Senior Technical Lead and Platform Architect Cisco
  Tutorial Training
10:10am
Monday - 10/1/18
Research ()
Fog Computing as a Key Enabler of Smart/Autonomous Vehicles
R-03
Postdoctoral Research Scientist Princeton University
Fog computing enables on-time service delivery with high reliability while addressing several challenges associated with the use of cloud computing, such as network delay/failure or cost overheads of transmitting data to the cloud. Fog computing is a distributed horizontal architecture that exploits computational, storage, and networking resources along the cloud-to-thing continuum. In this presentation, I will discuss promising characteristic of fog computing that can revolutionize the vehicle industry. I will present how we have developed a fog-oriented application development framework for vehicles that integrates programmability, connectivity, and security into isolated vehicles. The proposed framework enables rapid development of new vehicular applications for already-in-market vehicles, significantly enhancing the vehicle security, passenger safety, and driving experience. It is formed around a security/privacy-friendly programmable fog node (known as SmartCore) and a middleware that enables developers to interact with the vehicle's built-in components in a safe and secure manner, preventing numerous potential threats against Internet-connected vehicles.
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  Research
11:00am
Monday - 10/1/18
Research ()
FogChain: Transforming Microgrid Management via Blockchain and Fog Computing
R-04
Associate Dean (Research) College of Engineering, Nanyang Technological University
  Research
11:30am
Monday - 10/1/18
Research ()
Fog-enabled Intelligent IoT Services
R-05
Professor, School of Information Science and Technology Co-Director, Shanghai Institute of Fog Computing Technology (SHIFT) ShanghaiTech University, China
Fog computing has recently attracted a lot of attention from communication, computing and control communities. Together with cloud computing, edge computing, and sea computing, the research and development of fog computing technologies aims at supporting future intelligent services and societies by providing multi-layer computing resources and a horizontal service architecture across a variety of IoT networks and applications. Specifically, fog computing enables on-site data processing, information retrieval, knowledge creation, performance optimization and real-time decisions in ambient service environments.
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Tutorial Training ()
Network, Messaging
TT-03
Sr Director Market Development for IIoT RTI
  Research
  Tutorial Training
12:00pm
Monday - 10/1/18
Research ()
Machine Learning in the Fog for Industrial IoT
R-06
CTO and Director of IoT and Embedded Engineering Software Design Solutions, Inc
Industrial systems have unique requirements and constraints that impact the design of IoT solutions for industrial use. Industrial equipment has a long lifetime, measured often in decades, and existing legacy edge sensors that are suitable for harsh environments. Situated between the legacy Edge and the to-far-away Cloud, the Fog provides a suitable location for localized processing, including some types of Machine Learning. The Fog is near to the edge data sources, but with enough power, bandwidth, and local context to make Fog processing more capable than simple Edge processing. Ed will discuss how Fog processing is particularly suited to Industrial IoT, and how the techniques in Machine Learning can be partitioned into Cloud and Fog components. He will discuss best practices in Industrial IoT development and case studies of successful deployments.
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  Research
12:30pm
Monday - 10/1/18
Research ()
Towards Intelligence on the Edge: Restructuring Computing to Enable the Next Generation of the IoT
R-07
Assistant Professor of Electrical and Computer Engineering Duke University
  Research
1:00pm
Monday - 10/1/18
2:00pm
Monday - 10/1/18
Research ()
OmniEyes: a Fog-based AI Platform for Interconnected Mobile Cameras
R-08
Professor Graduate Institute of Communication Engineering, National Taiwan University
Tutorial Training ()
Security in Fog
TT-04
Associate Professor National Chiao Tung University
  Research
  Tutorial Training
2:30pm
Monday - 10/1/18
Research ()
The Future Power-Edge Platform for the Smart Grid
R-09
Professor University of Electronic Science and Technology of China
The smart grid is the choice to integrate green power resources into the energy distribution system, control power usage, and balance energy load. The smart meters, monitors and sensors are employed to responsible for two-way flows of electricity information to monitor and manage the electricity consumption. In a large smart grid, such devices and nodes produce tremendous amount of data that are hard to process, analyze and store even with cloud computing due to real-time response and privacy requirements. The data in the smart grid system needs to be processed at shorter response time, more efficient processing and smaller network pressure. Comparing with the cloud computing, fog/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 talk, a fog/edge computing based smart grid model are introduced, which related to the power metering system, microgird system and monitoring system. Several applications and services based on this model are going to illustrate. The security challenges for this model will be given. Several solutions for those challenges are going to be presented, which include the real-time protection measure, lightweight encryption and authentication method. Especially, an end-to-end physical characteristic security mechanism can be implemented due to one hop distance under the fog/edge computing based smart grid model. Finally, the power fog/edge platform will be illustrated.
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  Research
3:00pm
Monday - 10/1/18
Research ()
Infrastructure-as-a-Service (IaaS): When Cloud meets Edge to Provide Brokerage Services
R-10
Professor Singapore University of Technology and Design
By acquiring cloud-like capacities at the edge of wireless networks, fog computing is expected to further improve user experience. In this talk, we formulate a hybrid fog-cloud computing system where an fog device with limited local resources can rent more from a cloud node and perform resource allocation to minimize total long-term cost. The resource procurement and allocation decisions depend not only on the cloud’s multiple rental options but also on the fog’s local processing cost and capacity. We first propose an offline algorithm whose decisions are made with full information of future demand. Then, an online strategy is proposed in which the fog node makes irrevocable decisions in each timeslot without future information of demand. Numerical results acquired with Google cluster-usage traces indicate that the cost of the fog node can be remarkably reduced by using the aforementioned algorithms.
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  Research
3:30pm
Monday - 10/1/18
Tutorial Training ()
SW Infrastructure Orchestration & Manageability
TT-05
  Tutorial Training
3:50pm
Monday - 10/1/18
Research ()
Computing Forecast: Cloudy with Widespread Fog and Mist Days Ahead
R-11
Senior Security Technical Lead for Cloud Computing National Institute of Standards and Technology (NIST) Computer Security Division
  Research
4:20pm
Monday - 10/1/18
Research ()
A Proximity-based Mobile Fog / Edge Computing Platform
R-12
CEO & Co-Founder Smartiply Inc.
Rapid growth in connected devices and video content consumption puts additional strain on the network and cloud resources, negatively impacting the customer experience. With an abundance of computing resources available at the network-edge, specifically the end-user edge devices, there is a significant opportunity for innovative cloud-dependent and cloud-less applications that can be enabled that have never been imagined before. Smartiply has developed and launched a proximity-based platform to seize this opportunity and become a pioneer in this space.
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  Research
5:00-7:00pm
Monday - 10/1/18
()
Opening Networking Reception in Expo Hall
X-04
  
Tuesday, October 02, 2018
7:30am
Tuesday - 10/2/18
()
Registration & Breakfast
X-05
  
8:30am
Tuesday - 10/2/18
Keynote Presentation ()
Welcome to Fog World Congress Opening Keynote: Fog - The Future of AI/IoT/5G
GS-01
Helder Antunes Sr. Director of Corporate Strategic Innovation Group Cisco
  Keynote Presentation
8:45am
Tuesday - 10/2/18
Keynote Presentation ()
This is Fog
K-01
Mung Chiang Dean of the College of Engineering Purdue University
  Keynote Presentation
9:15am
Tuesday - 10/2/18
Keynote Presentation ()
Fog: The Disruption Within, and Ahead
K-02
Ashish Nadkarni Group Vice President IDC
  Keynote Presentation
10:15am
Tuesday - 10/2/18
Keynote Presentation ()
Fog and Autonomous Vehicles
K-03
  Keynote Presentation
11:00am-2:00pm
Tuesday - 10/2/18
  
11:00am
Tuesday - 10/2/18
Industry Track ()
Accelerating Autonomy with Fog Computing
IN-01
CEO Real-Time Innovations (RTI)
In the last century, transportation, medical, power and industrial systems were built from individual devices, some smart, but working independently. The smart machine era will change all that. Over the next few years, the amazing advancement in computing power and networking will transform every industry on the planet. Individual smart devices will merge into fog-computing autonomous systems. All these applications must connect "functional" artificial intelligence to real-time networking. That drives new unique computing requirements. Most importantly, autonomous systems must work as decoupled applications but still intimately share information. This talk will examine the new “data-centric” fog architectures that balance these demands, thus accelerating autonomous designs. This talk will highlight early autonomy applications across several industries from energy microgrids to the retrofit architecture for the Grand Coulee Dam, the largest power plant on the continent, to healthcare to automotive.
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Innovation Track ()
The Fog is the new AI Infrastructure
IV-01
Director of IoT Business Development Microsoft
Advances in AI are already demonstrating the potential to augment what humans are capable of, and they are already fundamentally changing our lives in ways we couldn’t have imagined even five years ago. As AI becomes a critical part of mainstream products, services and other innovations the deployment of these technologies becomes critical. Fog Computing is a deployment model for AI that is already revolutionizing the way that we think about the intelligent edge. In this session we will explore how Fog Computing is delivering on AI’s promise in terms of rapid deployment and scaling as well as enabling new scenarios impossible with the Edge and Cloud paradigms.
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Technology Track ()
Introductory Overview of Fog Computing Architecture
T-01
Senior Principal Engineer/System Architect Arm Senior Technical Lead and Platform Architect Cisco Associate Professor National Chiao Tung University
This session provides an overview of the elements of the open and interoperable fog computing architecture: Security, Scalability, Open, Autonomy, RAS (Reliability, Availability, Serviceability), Agility, Hierarchy, and Programmability.
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  Industry Track
  Innovation Track
  Technology Track
11:45am
Tuesday - 10/2/18
Industry Track ()
Use Cases of Fog Computing (Automotive, Supply Chain, Manufacturing)
IN-02
Staff Engineer and Technical leader VMware VP of Product Management Nebbiolo Technologies
This session features use case presentations on automotive, supply chain management, manufacturing in fog environments.
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Innovation Track ()
Smart Fog In the Digital Workplace
IV-02
Founder & CEO Integrative Technologies LLC
The growth of IoT, cloud computing, changing work styles, and digital work processes have resulted in the growth of the Digital Workplace. The Digital Workplace is an interactive environment, in contrast with the traditional office, which was a passive container of human and physical assets. In order for the Digital Workplace to be effective, it needs to be fully-connected, with a galaxy of sensors, edge processors, and intelligent network connections. Multiple systems must be integrated, including mobile devices, environmental systems, and security infrastructure. This session will discuss the major trends and implications of the Smart Workplace. Given the multi-billion dollar combination of commercial real estate and technologies involved, anyone interested in the Fog movement should consider this major emerging market for Fog technologies and approaches.
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Technology Track ()
Managing the Fog Environment for Optimal Performance
T-02
Director of IoT Standards Vmware
  Industry Track
  Innovation Track
  Technology Track
12:30pm
Tuesday - 10/2/18
1:30pm
Tuesday - 10/2/18
Industry Track ()
Machine Learning in Fog Environments
IN-03
Chief Technology Officer FogHorn Systems
Fog computing brings a groundbreaking dimension to Industrial IoT by embedding edge intelligence locally, as close to the source of streaming sensor data as possible. This session will discuss how processing data at the edge can help with machine learning and AI capabilities in order to maximize real time insights and rapidly implement machine learning models to adjust to constantly changing operating conditions.
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Innovation Track ()
Session Details in Development
IV-03
Technology Track ()
Blockchain in Fog Environments
T-03
Editor-in-chief RTInsights Co-Founder and VP of Engineering Xage Security Head of Technology JDA Labs Sr Director, Smart Software Center of Excellence Flex
Blockchain provides a security foundation that is autonomous, real-time, decentralized, zero-touch deployable, and adaptive - in short, that works well with fog. As a distributed platform itself, blockchain can be used for decentralized data storage and access control. By enforcing immutable records and sharing security data across all the nodes in its network, blockchain technology is tamper-proof and redundant. Through a process of continual reconciliation, autonomous consensus between fog nodes on a blockchain-protected security fabric secures the network when new or intermittently connected devices join it. The devices identify and isolate rogue devices and applications infected with malware. This self-healing capability delivers the data integrity and redundancy that the industrial IoT needs to thrive. Additionally, through this consensus, the more fog nodes added, the stronger the fabric gets, ensuring the secure storage, transmission, and analysis of data on a fog computing network. This panel will discuss blockchain-protected security technology as a novel approach to enable IIoT adoption and the best practices for implementation.
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  Industry Track
  Innovation Track
  Technology Track
2:15pm
Tuesday - 10/2/18
Industry Track ()
Streaming Fog: Two Case Studies using 5G and Fog for Real-time Video
IN-04
Director, IoT and Embedded Arm Head of the SONM development team SONM
At today’s sporting events, fans are demanding high-quality, real-time video on their smartphones and tablets. Events can take place in a stadium, across multiple venues (like the Olympics) or outdoors. Even outdoor events vary—from a fixed track to races that start in one location and end many kilometers – even days – away. Throughout these areas, broadcasters use High-Definition (HD) cameras to live stream coverage. These cameras generate massive amounts of video data. Fog computing keeps the video processing local, eliminating latency and congestion issues and eliminating the need to provision expensive backhaul links. With fog, processed and filtered video can be sent to the cloud for long-term storage. This session will feature an in depth case study of this use case AND Fog computing is used in video rendering on demand, focusing on a use case of a mining company.
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Innovation Track ()
Accelerating Mobile AI R&D
IV-04
Software Engineer, Machine Learning Google Brain
This session will highlight the latest research technologies and tools to use to deploy and accelerate Machine Learning on the edge.
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Technology Track ()
Standards in Fog Computing
T-04
Associate Professor National Chiao Tung University Board Governor IEEE Communications Society
In June 2018, IEEE issued the first standard for fog computing, p1934, based on the OpenFog Reference Architecture. This session will provide details on that standard and next steps in standards for fog computing.
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  Industry Track
  Innovation Track
  Technology Track
3:00pm
Tuesday - 10/2/18
()
Networking Refreshment Break
X-08
  
3:30pm
Tuesday - 10/2/18
Industry Track ()
How Smart Cities are Using Fog Computing to Improve City Services and Public Safety
IN-05
This session will feature how the city of Nice and city of Barcelona use fog computing to improve city services, improve public safety and decrease operational costs by using real-time information for improved operations.
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Innovation Track ()
Fog-Based 6G Research for Next Generation IoT Services and Opportunities
IV-05
Chair Professor and an IEEE Life Fellow National Chiao Tung University in Taiwan
Fog computing and networking will be a key pillar for current 5G engineering practices and future 6G research for next generation IoT & AI services and opportunities. This talk will discuss the latest research on 6G, based on fog computing models.
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Technology Track ()
How Fog Computing Eliminates the Challenges of DevOps
T-05
Ph.D., CEO & Co-Founder ActiveAether
This session will cover how fog computing architecture can make life easier for software developers and specifically DevOps engineers, eliminating challenges of deploying to traditional cloud computing infrastructure – like instance provisioning, load balancing and scaling, server maintenance, preparing for instance failure and more. It will walk through step-by-step what is different for developers deploying to fog architecture, what services and applications are particularly well-suited to fog, and how fog’s dynamic provisioning capabilities provide additional cost efficiency.
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  Industry Track
  Innovation Track
  Technology Track
4:15pm
Tuesday - 10/2/18
Industry Track ()
Session Details in Development
IN-06
Innovation Track ()
AI Taxonomy and AI at the Edge! What is it? Why is it important? How will it be done? Who is doing it?
IV-06
Technology Track ()
At the Edge of Analytics: Using Fog Technology for Real-time Analytics
T-06
CTO SWIM.AI Director of Strategic Planning Toshiba Memory America, Inc Director & head of IOT Product Management Teradata Labs
Real-time decisions and responses, privacy considerations and communication costs are causing a shift from the cloud to fog. This panel will discuss how to use streaming analytics techniques closer to where data is generated, for continuous input processing and on-time output delivery, in order to comply with the timing requirements of real-time response.
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  Industry Track
  Innovation Track
  Technology Track
5:00-7:00pm
Tuesday - 10/2/18
()
Expo Hall Open - Networking Reception for All Attendees
X-10
  
Wednesday, October 03, 2018
8:00am
Wednesday - 10/3/18
8:30am
Wednesday - 10/3/18
Keynote Presentation ()
Fog Robotics
K-04
Flavio Bonomi Founder and CEO Nebbiolo Technologies, Inc.
  Keynote Presentation
9:00am
Wednesday - 10/3/18
Keynote Presentation ()
Monetizing Fog: Building a Dynamic Marketplace for Computing Resources
K-05
Robert Macinnis Ph.D., CEO & Co-Founder ActiveAether
  Keynote Presentation
9:30am
Wednesday - 10/3/18
Keynote Presentation ()
Fog Computing and AI
K-06
Edy Liongosari Chief Research Scientist Accenture Labs
  Keynote Presentation
10:15am
Wednesday - 10/3/18
Keynote Presentation ()
Edge-Fog
K-07
Rhonda Dirvin Director, IoT and Embedded Arm
Liam Quinn Chief Technology Officer, Sr. Vice President, Sr Fellow Dell
Peggy Smedley (Moderator) Editorial Director Connected World
  Keynote Presentation
11:00am-2:00pm
Wednesday - 10/3/18
  
11:00am
Wednesday - 10/3/18
Industry Track ()
From the Plant Floor to Board Room: Industrial Control Systems & IIoT Cybersecurity
IN-07
This panel of security experts will discuss how fog and edge systems can help protect manufacturing environments, from legacy to the latest equipment.
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Innovation Track ()
Fog/Edge in the World of 5G
IV-07
Distinguished Engineer Cisco
The Network Infrastructure will experience a major transformation with 5G and in return will open the door for new innovations in content delivery and network Fog/Edge orchestration. In this session we will look at various technologies for orchestration and management of Fog/Edge nodes for enabling successful 5G ecosystem deployments and the next generation network infrastructure.
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Technology Track ()
Network Challenges in Fog Environments
T-07
  Industry Track
  Innovation Track
  Technology Track
11:45am
Wednesday - 10/3/18
Industry Track ()
Session Details in Development
IN-08
Innovation Track ()
The Social Impact of Emerging IoT/Fog/AI on Society
IV-08
Director Strategy and Planning, Chief Privacy Office, Security & Trust Organization Cisco Director, Technology Ethics Santa Clara University CEO Ashwin Krishnan Researcher Warwick Business School Professor of Strategic Management & Head of Strategy and International Business Group Warwick Business School Corporate Responsibility & Human Rights Manager Intel
“AI is far more dangerous than nukes”, claims Elon Musk. So, what happens when AI starts to converge with other emerging technologies such as IoT, Fog, AR/VR, blockchain, and 5G? What does it mean to prepare and be prepared for both risks and opportunities? On the other hand, cities face the daunting challenge of figuring out how to serve 60-70% of the world’s ~10B population by 2050. There is strong consensus that cities, supported by companies, will need to rethink how they procure, manage, utilize and secure smart devices and services to scale delivery of transportation, energy, healthcare, education and environmental sustainability systems. So far, a convergent set of technologies starting with big data and cloud computing followed by AI, IoT, Fog, blockchain and 5G are shaping the landscape of smart city concepts. Yet, as cities and citizens rush to evaluate and adopt these technologies to address their challenges, it is also important to examine the broader plausible social impact and implications of such technologies, whether they be negative as well as positive, in a holistic way. For example, for autonomous driving, who gets to decide what the car’s algorithm decides in a life-death situation? Who gets to decide who owns and controls the massive amount of passenger data being created within and around an autonomous car (25x more per day than mobile phones)? Who is responsible for securing an autonomous car from hacking and who is liable if it does? In short, how might we proactively promote the benefits of these technologies as well as mitigate their risks? In this panel, we will explore latest thinking around these and other hot topics and trends.
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Technology Track ()
New Fog-based Approaches to Secure the Internet of Things
T-08
Director of IoT, CTO Group Cisco
IoT security and scalability are two of the main issues in IoT deployments. Today there are approximately 8.2 billion IoT devices connected to the Internet. By the year 2020 this number is forecast to grow to 25 billion IoT devices, and by 2025 IoT forecasts are expected to reach between 75 and 100 billion [source: IHS, IDC, Nokia]. Device security is the top concern across all IoT markets; consumers, small & medium businesses, enterprises, and the industrial sector. In particular, Distributed Denial of Service (DDoS) attacks have increased in pace over the last few years. These attacks have specifically leveraged non-secure IoT devices – examples of these attacks are Petya, Mirai, and Wannacry. The trends are for increased occurrences and sizes of DDoS attacks as there is an upsurge of IoT things connecting to the Internet.
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  Industry Track
  Innovation Track
  Technology Track
12:30pm
Wednesday - 10/3/18
1:30pm
Wednesday - 10/3/18
Industry Track ()
Session Details in Development
IN-09
Innovation Track ()
Session Details in Development
IV-09
Technology Track ()
Accelerating Fog Design: Tips to Get Started
T-09
Senior Technical Lead and Platform Architect Cisco
As fog moves from architecture to implementation, there is a need for practical advice on how to design and deploy fog networks and elements. This talk is a rapid how-to session of many practical tips and tricks to help accelerate fog deployment. Each of the topics will be given enough time to ensure the audience has an understanding of the challenges involved in fog design, and provide techniques and alternatives that can be helpful to address them. Topic areas include: Vertical markets, Applications/Use cases, Architecture, Partitioning, Component level, Node level, Network Level, Capacity/Performance/Reliability/Scalability, Installation, Operation/Management, Ecosystem, Time, and Economics.
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  Industry Track
  Innovation Track
  Technology Track
2:15pm
Wednesday - 10/3/18
Industry Track ()
Drones, Radio Frequency and Edge Computing: Autonomy in the Field
IN-10
Chief Marketing Officer FreeWave Technologies
In this session will view multiple use cases of drones in factory automation, remote monitoring, video streaming and command and control. Drones offer reliable, resilient data transfer, not only to the central data repository, be it the cloud or a data center, but also across the sensor network on-premise. It will include: How the use of radio frequency technology on the factory floor connects machine-to-machine communication on the production line to optimize operations, reduce labor time, and predict maintenance needs; How remote monitoring of assets in an oil field, agriculture field or environmental monitoring station can accurately and reliably transmit key data and analytics for real-time reporting, proactive maintenance and command and control; How the use of video streaming with drones monitors high security borders, remote locations or agricultural fields in real-time, with the power of edge computing for facial recognition and mission-critical decisions.
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Innovation Track ()
Using Fog to Enable AI at the Edge
IV-10
Senior Vice President of Devices Product Marketing and Management Western Digital
There are billions of computers all around us, many of which function at a mere fraction of their computational capacity. Fog computing offers an architecture that can leverage those untapped resources to run software services that used to be run only in the cloud. As a result, we can source processing power for today’s traffic-heavy tech like IoT, AI, Machine Learning and more on computers that are better suited than cloud in terms of geography, speed, and scalability, reducing the distance data has to travel and the overall strain on a network, and eliminating single points of failure. However, building a fog computing architecture that involves computing resources owned by different parties would be impossible without a marketplace. This session will talk about a blockchain-based payment mechanism with a fog computing architecture, called the FogCoin Marketplace, which performs two essential functions: a) incentivizing computer owners to make resources available to the network by paying them and b) routing demand for processing power to appropriate computers, based on criteria that includes price in addition to geography, availability and more.
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Technology Track ()
Session Details in Development
T-10
  Industry Track
  Innovation Track
  Technology Track
3:00pm
Wednesday - 10/3/18
General Session ()
Fog Tank
GS-02
Director, Technology & Business Enablement Toshiba Digital Solutions Co. Toshiba America Research Institution Managing Director, Venture Capital and Corporate Business Development GE Digital Partner BGV
  General Session
4:30pm
Wednesday - 10/3/18
()
Conference Concludes
X-14
  

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