Workshop on Internet of Things (IoT) using
Raspberry Pi virtual machines (VMs)
Saturday 30 January 2021 ** 12:30 pm – 3:30 pm ET
The CCWC 2021 IoT Workshop will be presented by Dr. Phillip Bradford (University of Connecticut, Stamford, USA).
This workshop is designed using Raspberry Pi virtual machines (VMs) - there is no need for you to buy or have an actual Raspberry Pi!
You will learn how to run basic Raspberry Pi VMs.
You will learn how to build blockchain-related systems using Raspberry Pi VMs
You will learn how two Raspberry Pi VMs can build basic synchronized clockchains.
(Note: Clockchains are not blockchains, but they have a good deal of the features of blockchains.)
Those who are interested to participate, MUST register (see below) and then review the following videos and documents as preparation before taking the workshop. The Virtual Environment software download and setup can take at least 2-4 hours depending on your internet connection and expertise!
- Workshop Flyer can be found HERE
READ THIS FIRST - Workshop Goals and Background HERE
- PRE-WORKSHOP – MacOS
- PART 1- PRE-WORKSHOP (MacOS)
- Part 1 MacOS Approx Storage + Time
- Part 1 MacOS Install BREW
- Part 1 MacOS Install QEMU
- Part 1 MacOS QEMU Install-SLIDES
- Part 1 MacOS QEMU
- PART 2- PRE-WORKSHOP (MacOS)
- PRE-WORKSHOP - Windows
- PART 1- PRE-WORKSHOP (Windows)
|IEEE Student Member||$50|
All fees are in US Dollars and include all applicable taxes.
## The first 50 IEEE Student Member registrations are being provided as an IEEE Student Member Benefit by an IEEE Region 1 (Northeastern US) and IEM/UEM Grant ##
To register for the workshop click Here
|Full Paper Submission:||30th December 2020|
|Acceptance Notification:||10th January 2021|
|Final Paper Submission:||24th January 2021|
|Early Bird Registration:||17th January 2021|
|Presentation Submission:||20th January 2021|
|Conference:||27th - 30th January 2021|
• Conference Proceedings will be submitted for publication at IEEE Xplore Digital Library.
• Best Paper Award will be given for each track
• Conference Record No- 51732