Results from Retrofit for the Future.
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The document summarizes the results of a two-year Internet of Things project funded by TSB to monitor energy savings in 26 highly instrumented homes across the UK. Data was collected from the homes every minute via Wattbox devices and totaled over 800 million records over two years. A cloud-based solution was developed to compress, encrypt, transmit, process, and format the data for delivery to two separate databases. The solution successfully delivered over 70% of the data to the central database, and all 26 Wattbox properties were included upon completion of the monitoring period. Initial analysis of the data is now available online.
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We will then explore some of the applications and reasons that high-performance integrated device systems are choosing DDS, the Object Management Group (OMG) standard for Data Distribution Service middleware. Attendees will learn why DDS is the only technology that delivers the flexibility, reliability, and speed necessary to build complex real-time applications. We will examine why military systems, wind-turbine farms, advanced medical systems, asset-tracking systems and automotive test and safety systems choose to base their designs on DDS.
Speaker: Dr. Stan Schneider, Chief Executive Officer
What Are Science Clouds?
This is a talk I gave at Data Cloud 2013 on November 17, 2013 that was titled: "What is So Special About Science Clouds and Why Does It Matter? ."
Using the Open Science Data Cloud for Data Science Research
The Open Science Data Cloud is a petabyte scale science cloud for managing, analyzing, and sharing large datasets. We give an overview of the Open Science Data Cloud and how it can be used for data science research.
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This is a brief introduction to Snowflake Cloud Data Platform and our revolutionary architecture. It contains a discussion of some of our unique features along with some real world metrics from our global customer base.
Using Azure Databricks, Structured Streaming, and Deep Learning Pipelines to ...
Renewables AI is at the forefront of innovation in the solar energy market. As the name suggests, we use AI to make predictions on energy output from large portfolios of solar farms. This talk lays out the fundamental architecture, technology and approaches that make the platform work beginning with key features of the Azure Databricks cloud and how it works seamlessly with Azure Data Lake and Azure Event Hubs. There will be good coverage of ML and DL Pipelines and how they are used with image recognition and machine learning through Structured Streaming to make real-time decisions.
Key Takeaways: Prediction of next day irradiance and power ratios with real-time accuracies of 95% Structured streaming of IoT data from hundreds of thousands of inverters at 5 minute intervals Real-time joining of weather data and several other external datasets Use of Deep Learning Pipelines and advanced time series methods to predict 48 hours of future energy production Near-real time processing of image data at frequent intervals to predict cloud cover from onsite cameras and drones Analysis of data and preventative maintenance of fan failures in solar inverters
PLNOG 3: Tomasz Mikołajczyk - Data scalability. Why you should care?
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Why Gateways are Important in Your IoT Architecture
Constructing the IoT Solution. Learn why gateways are important to your IoT architecture and the components, requirements, benchmarks and benefits.
Io t world_2016_iot_smart_gateways_moe
Presentation at IoT World, May 2016 in Santa Clara, CA. Session "Manage your IoT Sensor Data at the Edge! Control your IoT sensor data at the most appropriate spot" (Thursday, 12 May 2016. IoT & the Cloud Track)
Webinar Slides: MySQL Data Protection: Medical SaaS Manages Sensitive HIPAA C...
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Modernizing Medicine, a Continent customer since 2012, is a large Florida-based SaaS provider dealing with sensitive (PHI) medical data. ModMed offers electronic health records keeping, practice management, revenue cycle management, and data analytics for thousands of doctors.
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AGENDA
- Continuent Introduction
- How to easily deploy MySQL Tungsten Clusters in AWS and recover from multi-zone/multi-region AWS outages
- Continuent Tungsten Solutions and Benefits
- Key Benefit Highlight: Continuous MySQL Operations with Data Protection
- Q&A
PRESENTER
Eero Teerikorpi - Founder and CEO, Continuent - is a 7-time serial entrepreneur who has more than 30 years of high-tech management and enterprise software experience. Eero has been in the MySQL marketplace virtually since day one, from the early 2000s. Eero has held top management positions at various cross-Atlantic entities (CEO at Alcom Corporation, President at Capslock, Executive Board Member at Esker S.A.) Eero started his career as a Product Manager at Apple Computer in Finland in the mid-80s. Eero also owns and manages a boutique NOET Vineyards producing high-quality dry-farmed Cabernet Sauvignon.
Eero is a former Navy officer and still an avid sailor on San Francisco Bay and around the world. Eero is a very active sportsman: a 4+ tennis player, a rookie golfer, a very careful mountain biker, and an experienced (40+ years) skier, both slalom and cross-country.
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This document provides an overview of the evolution of the internet and key technologies enabling it, including internet of things (IoT), 5G, cloud computing, data centers, and network virtualization. It discusses how IoT and cloud computing produce big data stored in data centers, and how 5G, data centers, and network virtualization technologies will act as the backbone for cloud services and IoT applications. It also outlines some of the applications, requirements, and trends related to these technologies.
Future Grid Overview 2018
Future Grid provides a data platform that can reduce data infrastructure costs by up to 90% and increase analytic performance by over 1000%. It eliminates complexity in data integration and management. The platform ingests data from sensors and devices, transforms and manages the data, and enables instant analysis upon data arrival. It has proven ability to manage billions of data points daily for utilities and provide real-time operational insights for tasks like voltage control and asset management. Customers can build real-time applications in weeks at a low cost using the platform's self-service capabilities.
The Great IT Migration
Shaun Walsh, senior vice president of marketing and corporate development, speaks on this topic at SNW Europe on 10/29/13:
IT is migrating to a new model of computing and business alignment that is not just about the cloud, not just about bring your own device (BYOD), but a new way of thinking about how the building blocks of IT are developed, purchased and assembled to achieve business goals. We will explore the great migrations in the IT world, starting with the new IT strategy (hybrid everywhere), expanding users’ expectations (going beyond instantaneous), new technology models (software defined computing), defining new core building blocks, (everything has to be a platform) and how selling to IT will change (re-definable value vs. ROI positioning). During this presentation, we will look beyond the hype curve and buzzword compliance to identify the most influential IT migrations that will change the way we work, partner and profit for the next decade.
Microsoft's project natick(underwater datacentre)
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Dosenet_Report
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Virtual Design Master Challenge 1 - Joe
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MIG 5th Data Centre Summit 2016 PTS Presentation v1
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Tsinghua University: Two Exemplary Applications in China
In this talk, we will share the experiences of applying Cassandra with two real customers in China. In the first use case, we deployed Cassandra at Sany Group, a leading company of Machinery manufacturing, to manage the sensor data generated by construction machinery. By designing a specific schema and optimizing the write process, we successfully managed over 1.5 billion historical data records and achieved the online write throughput of 10k write operations per second with 5 servers. MapReduce is also used on Cassandra for valued-added services, e.g. operations management, machine failure prediction, and abnormal behavior mining. In the second use case, Cassandra is deployed in the China Meteorological Administration to manage the Meteorological data. We design a hybrid schema to support both slice query and time window based query efficiently. Also, we explored the optimized compaction and deletion strategy for meteorological data in this case.
Using Graph Databases in Real-Time to Solve Resource Authorization at Telenor...
Sebastian talks about how they use neo4j to protect data in business critical services running in production. The talk covers both high-level architecture, and detailed technical considerations.
Using Graph Databases in Real-Time to Solve Resource Authorization at Telenor...
Learn how Telenor uses Neo4j to protect data in business critical services running in production. Sebastian will discuss lessons learned both with technology and our experience after running it in production for half a year, backing many of our mission critical services.
CDP_2(1).pptx
Data centers are large physical facilities that house servers, networking equipment, and other infrastructure to deliver computing resources and services. They provide utilities like power, cooling, security and shelter. Typical data centers range from 500-5000 square meters and consume 1-20 MW of power on average. Modern cloud-based data centers are designed with multiple regions and availability zones to provide redundancy and prevent failures across entire regions. They use software-defined infrastructure to dynamically allocate resources based on workload demands and improve utilization of servers. Managing the scale and complexity of data centers remains an ongoing challenge due to their growth and the massive amounts of data generated each day.
Similar to Results from Retrofit for the Future. (20)
Using the Open Science Data Cloud for Data Science Research
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PLNOG 3: Tomasz Mikołajczyk - Data scalability. Why you should care?
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MIG 5th Data Centre Summit 2016 PTS Presentation v1
MIG 5th Data Centre Summit 2016 PTS Presentation v1
Tsinghua University: Two Exemplary Applications in China
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Results from Retrofit for the Future.
- 1. Results of our TSB funded IoT project
- 2. About Me John Nunn Tortrix Ltd Solutions Architect / Managing Director john@tortrix.net @johnnunn tortrixltd
- 3. Our Clients
- 4. Our Projects Retrofit for the Future Internet of Things Convergence
- 5. Retrofit for the Future Lead: Wattbox Ltd 2 year monitoring project Compare & Contrast energy saving building improvements 26 Highly Instrumented Homes across the UK Data to be imported into central database EMBED. Average of 30 different data points per property Data captured every minute 26x30x(60x24) = 1,123,200 data points per day or nearly 820 million data records in two years
- 6. Challenges Data needed to be supplied to two locations: EMBED (AMEE) – for the EST Oswald Consultancy – for in depth analysis A large amount of data (5 million data points per day), we were also going to be managing the entire fleet of Wattbox devices (over 100). Widely spaced locations (UK wide) Unreliable connectivity (mostly 3G)
- 7. 1. Data is compressed on the Wattbox and transmitted across the internet in an encrypted format to the Tortrix cloud service. 2. The Tortrix Service receives the data, decrypts the transmission and uncompressed the data. 3. The Tortrix Cloud service processes the data and transforms it into the correct formats for both the EMBED Database and Oswald Consultancy’s analysis System, removing unnecessary data points. 4. The newly formatted data is transmitted to the EMBED database by the Tortrix Service. 5. The correctly formatted data is transmitted to the Oswald Consultancy analysis system by the Tortrix Service. Solution
- 8. Use of Cloud Large Volume of data 5 million data points per day 3.6 billion data points in 2 years High Availability Elastic computing power High usage 1am – 4am Low usage 5am – 12pm Windows Azure hosted Web service for Data Import from Wattbox. SQL Azure database for received data. Windows Azure based service for processing the data and sending to embed & Oswald Consultancy. Widows Azure hosted Web Site for configuration and management of Wattboxes.
- 9. Results The monitoring period has come to an end. Currently only 37 properties in the database. All 26 Wattbox based properties included (100%). >70% of the data stored in embed came via our solution. First analysis available http://www.retrofitanalysis.org/
- 10. Questions?
Editor's Notes
- Retrofit for the Future catalysed the retrofit of over 100 homes across the UK, with an ambition of achieving an 80% reduction in the in-use CO2 emissions of each property. Coordinated by theTechnology Strategy Board , the Retrofit for the Future competition encouraged collaboration between housing providers, designers, contractors and researchers, and has helped to stimulate new business opportunities in the retrofit market.