Fiware Action Cluster: Protecting User Data in the Smart City Scenario

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In this video from the Global Tech Jam 2018, Jose Gonzalez presents: Fiware Action Cluster. "The Fiware mission is to develop an open sustainable ecosystem around public, royalty-free and implementation-driven software platform standards that will ease the creation of Smart Applications in multiple sectors." Learn more: https://www.fiware.org/foundation/ and https://globaltechjam.com/2018-global-tech-jam-presentations/ and http://insideSmartCities.com Sign up for our insideBIGDATA Newsletter: http://insidebigdata.com/newsletter

Technology

FIWARE Action Cluster:
Protecting User Data in the Smart City scenario
Jose Gonzalez
FIWARE International Growth Manager
jgonzalez@interinnov.eu

FIWARE Service
2
Open Source Technology
Standard Interface (NGSI)

FIWARE Platform
3
Modular
Interoperable
Vertical
Markets
Open Source
Services
42

4
Action Cluster:
Green Route – Mexico City

Green Route
MOTIVATION
• Support the mobility of citizens in high
polluted cities, like Mexico City
• Improve quality of life and foster
environmental friendly behaviors
GOAL
• Help the final user determine the best
route to reach a destination
• Take into account the conditions and
external factors
5

6
No One Left Behind event, city
Overview
6

Trials
12
University
Campus
Public
Transport
• 30+ Routes
• 22 Geographical
Zones
• Smart Spots in 5+ Bus
Routes
• Environmental data
• User mobility
• Usage

Encryption in Smart Apps
• Data must be secured and encrypted to ensure privacy
– Routes
– Location
– Personal health data
• Developers require an encryption layer on their smart
apps
• Users demand a secure method to store and use their
data
14

NGSI Encryption
MOTIVATION
Provide a FIWARE service capable to encrypt sensitive
information shared and stored in NGSI format
15

NGSI Encryption
APPROACH
A step-by-step GUI to encrypt/decrypt data
16

NGSI Encryption
• Tied to available data models
– Weather
– Parking
– Waste Management
– Indicators
• API Form based on REST services
– Implementing a POST method with a predefined structure
– Encrypts attributes in a JSON file
• Anonymization techniques to preserve privacy while
using useful data for statistical analysis
17

NGSI Encryption
• Encryption method
– Base64. Encoding method for representing data using printable
characters
– Reverse. Encryption method based on string manipulation
• Attribute. Each corresponding attribute is listed and can be modified
• Encrypt checkbox. The user can select whether the attribute is
encrypted or not
• Encrypted. Represents the encrypted value of the corresponding
attribute
19

Jose Gonzalez
FIWARE International Growth Manager
jgonzalez@interinnov.eu

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Today Xilinx announced Versal Premium, the third series in the Versal ACAP portfolio. The Versal Premium series features highly integrated, networked and power-optimized cores and the industry’s highest bandwidth and compute density on an adaptable platform. Versal Premium is designed for the highest bandwidth networks operating in thermally and spatially constrained environments, as well as for cloud providers who need scalable, adaptable application acceleration. Versal is the industry’s first adaptive compute acceleration platform (ACAP), a revolutionary new category of heterogeneous compute devices with capabilities that far exceed those of conventional silicon architectures. Developed on TSMC’s 7-nanometer process technology, Versal Premium combines software programmability with dynamically configurable hardware acceleration and pre-engineered connectivity and security features to enable a faster time-to- market. The Versal Premium series delivers up to 3X higher throughput compared to current generation FPGAs, with built-in Ethernet, Interlaken, and cryptographic engines that enable fast and secure networks. The series doubles the compute density of currently deployed mainstream FPGAs and provides the adaptability to keep pace with increasingly diverse and evolving cloud and networking workloads. Learn more: https://insidehpc.com/2020/03/xilinx-announces-versal-premium-acap-for-network-and-cloud-acceleration/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Versal Premium ACAP for Network and Cloud Acceleration

inside-BigData.com

In this video from the Rice Oil & Gas Conference, Chin Fang from Zettar presents: Moving Massive Amounts of Data across Any Distance Efficiently. The objective of this talk is to present two on-going projects aiming at improving and ensuring highly efficient bulk transferring or streaming of massive amounts of data over digital connections across any distance. It examines the current state of the art, a few very common misconceptions, the differences among the three major type of data movement solutions, a current initiative attempting to improve the data movement efficiency from the ground up, and another multi-stage project that shows how to conduct long distance large scale data movement at speed and scale internationally. Both projects have real world motivations, e.g. the ambitious data transfer requirements of Linac Coherent Light Source II (LCLS-II) [1], a premier preparation project of the U.S. DOE Exascale Computing Initiative (ECI) [2]. Their immediate goals are described and explained, together with the solution used for each. Findings and early results are reported. Possible future works are outlined. Watch the video: https://wp.me/p3RLHQ-lBX Learn more: https://www.zettar.com/ and https://rice2020oghpc.rice.edu/program-2/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Zettar: Moving Massive Amounts of Data across Any Distance Efficiently

inside-BigData.com

In this deck from the Rice Oil & Gas Conference, Bradley McCredie from AMD presents: Scaling TCO in a Post Moore's Law Era. "While foundries bravely drive forward to overcome the technical and economic challenges posed by scaling to 5nm and beyond, Moore’s law alone can provide only a fraction of the performance / watt and performance / dollar gains needed to satisfy the demands of today’s high performance computing and artificial intelligence applications. To close the gap, multiple strategies are required. First, new levels of innovation and design efficiency will supplement technology gains to continue to deliver meaningful improvements in SoC performance. Second, heterogenous compute architectures will create x-factor increases of performance efficiency for the most critical applications. Finally, open software frameworks, APIs, and toolsets will enable broad ecosystems of application level innovation." Watch the video: Learn more: http://amd.com and https://rice2020oghpc.rice.edu/program-2/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Scaling TCO in a Post Moore's Era

inside-BigData.com

In this deck from the ECSS Symposium, Abe Stern from NVIDIA presents: CUDA-Python and RAPIDS for blazing fast scientific computing. "We will introduce Numba and RAPIDS for GPU programming in Python. Numba allows us to write just-in-time compiled CUDA code in Python, giving us easy access to the power of GPUs from a powerful high-level language. RAPIDS is a suite of tools with a Python interface for machine learning and dataframe operations. Together, Numba and RAPIDS represent a potent set of tools for rapid prototyping, development, and analysis for scientific computing. We will cover the basics of each library and go over simple examples to get users started. Finally, we will briefly highlight several other relevant libraries for GPU programming." Watch the video: https://wp.me/p3RLHQ-lvu Learn more: https://developer.nvidia.com/rapids and https://www.xsede.org/for-users/ecss/ecss-symposium Sign up for our insideHPC Newsletter: http://insidehp.com/newsletter

CUDA-Python and RAPIDS for blazing fast scientific computing

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In this deck from FOSDEM 2020, Colin Sauze from Aberystwyth University describes the development of a RaspberryPi cluster for teaching an introduction to HPC. "The motivation for this was to overcome four key problems faced by new HPC users: * The availability of a real HPC system and the effect running training courses can have on the real system, conversely the availability of spare resources on the real system can cause problems for the training course. * A fear of using a large and expensive HPC system for the first time and worries that doing something wrong might damage the system. * That HPC systems are very abstract systems sitting in data centres that users never see, it is difficult for them to understand exactly what it is they are using. * That new users fail to understand resource limitations, in part because of the vast resources in modern HPC systems a lot of mistakes can be made before running out of resources. A more resource constrained system makes it easier to understand this. The talk will also discuss some of the technical challenges in deploying an HPC environment to a Raspberry Pi and attempts to keep that environment as close to a "real" HPC as possible. The issue to trying to automate the installation process will also be covered." Learn more: https://github.com/colinsauze/pi_cluster and https://fosdem.org/2020/schedule/events/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Introducing HPC with a Raspberry Pi Cluster

inside-BigData.com

In this deck from ATPESC 2019, Ken Raffenetti from Argonne presents an overview of HPC interconnects. "The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two-week training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future." Watch the video: https://wp.me/p3RLHQ-luc Learn more: https://extremecomputingtraining.anl.gov/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Overview of HPC Interconnects

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1. FIWARE Action Cluster: Protecting User Data in the Smart City scenario Jose Gonzalez FIWARE International Growth Manager jgonzalez@interinnov.eu

2. WHAT IS FIWARE? 1

3. FIWARE Service 2 Open Source Technology Standard Interface (NGSI)

4. FIWARE Platform 3 Modular Interoperable Vertical Markets Open Source Services 42

5. 4 Action Cluster: Green Route – Mexico City

6. Green Route MOTIVATION • Support the mobility of citizens in high polluted cities, like Mexico City • Improve quality of life and foster environmental friendly behaviors GOAL • Help the final user determine the best route to reach a destination • Take into account the conditions and external factors 5

7. 6 No One Left Behind event, city Overview 6

8. Route Planning 7

9. Route Planning: Car + Bike 8

10. Health Profile 9

11. Health Profile 10

12. Stats 11

13. Trials 12 University Campus Public Transport • 30+ Routes • 22 Geographical Zones • Smart Spots in 5+ Bus Routes • Environmental data • User mobility • Usage

14. DATA ENCRYPTION 13

15. Encryption in Smart Apps • Data must be secured and encrypted to ensure privacy – Routes – Location – Personal health data • Developers require an encryption layer on their smart apps • Users demand a secure method to store and use their data 14

16. NGSI Encryption MOTIVATION Provide a FIWARE service capable to encrypt sensitive information shared and stored in NGSI format 15

17. NGSI Encryption APPROACH A step-by-step GUI to encrypt/decrypt data 16

18. NGSI Encryption • Tied to available data models – Weather – Parking – Waste Management – Indicators • API Form based on REST services – Implementing a POST method with a predefined structure – Encrypts attributes in a JSON file • Anonymization techniques to preserve privacy while using useful data for statistical analysis 17

19. NGSI Encryption 18

20. NGSI Encryption • Encryption method – Base64. Encoding method for representing data using printable characters – Reverse. Encryption method based on string manipulation • Attribute. Each corresponding attribute is listed and can be modified • Encrypt checkbox. The user can select whether the attribute is encrypted or not • Encrypted. Represents the encrypted value of the corresponding attribute 19

21. NGSI Encryption JSON generated 20

22. Jose Gonzalez FIWARE International Growth Manager jgonzalez@interinnov.eu

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