Welcome!

Linux Containers Authors: Liz McMillan, Elizabeth White, Akhil Sahai, Pat Romanski, Shelly Palmer

Related Topics: @ThingsExpo, Java IoT, Mobile IoT, Linux Containers, Agile Computing, @BigDataExpo

@ThingsExpo: Article

Microsoft Product Mapping for the Internet of Things

The market potential for IoT is in the trillions of dollars globally per year and growing

As suggested by numerous reports and white papers by both big players and analysts, the market potential for IoT is in the trillions of dollars globally per year and growing. Microsoft has rightly adopted the enablement of IoT with appropriate platform and tools. The Microsoft Azure Intelligent Systems Service helps enterprises embrace the Internet of Things (IoT) by securely connecting, managing and capturing machine-generated data from a variety of sensors and devices. While some of these services are still under limited public preview gaining appropriate expertise will help in meeting the challenges faced by new era of Ambient Intelligence.

Microsoft's Big Push on Machine Learning
The next big thing in computing is derived out of using Machine Learning techniques. Microsoft has come up with some important announcements recently.

The following announcements were made by Microsoft CEO in a recent customer event in San Francisco on April 15.

  • Limited public preview of the Microsoft Azure Intelligent Systems Service. This new Azure service helps customers embrace the Internet of Things and securely connect to, manage and capture machine-generated data from sensors and devices, regardless of operating system.
  • Launch of SQL Server 2014. The latest version of the world's most widely deployed database delivers real-time performance with built-in in-memory technology and public cloud scale and disaster recovery with Microsoft Azure.

While these services are still under public beta and will take mainstream in a short while from now, the following reference architecture will help to make best use of them in the era of internet of things.

Reference Architecture for Internet of Things Intelligence
The following diagram shows a vendor agonistic view of an Intelligent Insight Enabler for Internet Of Things.

Event Producer
This layer represents the raw devices like sensors, machine sources which can generate massive quantities of events. By classical definition events does not mean anything disruptive or useful information always, most of the times they may be just raw messages which will not provide any meaning unless viewed within a context. This layer typically presents at , Ón Premise' mainly in plant floor, hospitals or even in homes.

Event Preprocessor
Events do get generated in massive quantities and most times event information is repetitive and not useful and hence event preprocessing layer will be useful to filter the duplicate and unwanted events and consider relevant events for further processing. Also events do get more significance if they are semantically enriched with context. While a more advanced form of semantic enrichment can happen in the next layer (Event Intelligence Processor), but basic semantic enrichment about the event like, it's location, relationship with other objects of interest will happen in this layer.

Event Intelligence Processor
This is the most important layer in the whole eco system and it typically present in cloud, given its needs to scale rapidly and handle massive quantities of data. It can typically utilize two kinds of processing to produce the intelligence from raw data.

  • In Memory Processor: In memory analytical engine for real time analytics needs.
  • Massively Parallel Processor: Batch engine to analyse even large quantities of data in near real time basis.

Intelligence processor will utilize second level of semantic enrichment which will further annotate the events beyond what is done by the pre processor. Enrichment at this stage will take care correlation among events from disparate sources. Finally the machine learning engine will utilize the past data conditions of the events and come up predictive outcomes which is the ultimate goal of the engine.

Event Insights Consumer
As evident from the name, Intelligence extracted by the Intelligence Processor' will be consumed by this layer using rich visualization features across multiple channels. This layer will also facilitate end user specific views, drill down and other dynamic filtering of intelligence output. It is quite possible that a IoT device could be a consumer of the machine intelligence generated, so that the preventive maintenance of the device can be taken care.

Microsoft Product Mapping For Internet Of things Ambient Intelligence
The following diagram shows the product mapping aligned with Microsoft vision of Internet of Things and associated Ambient Intelligence which can be drawn out of it. The product mapping boxes have been aligned with reference architecture so that a one to one mapping between the building blocks and associated products can be realized.

The following are the brief descriptions of the product mapping and their fitment , a detailed explanation about these products can be obtained from Microsoft web site and documentation.

Event Producer
The Windows Embedded family of operating systems and tools extends the power of Windows and Microsoft technologies, allowing you to create powerful, connected, industry devices and intelligent systems that can transform your business.

Event Preprocessor
Microsoft StreamInsightTM is a powerful platform that you can use to develop and deploy complex event processing (CEP) applications. Its high-throughput stream processing architecture and the Microsoft .NET Framework-based development platform enable you to quickly implement robust and highly efficient event processing applications.

Event Intelligence Processor
SQL Server 2014 delivers mission critical performance across all workloads with in-memory built in, faster insights from any data with familiar tools. It's In Memory analytics can process billion of rows in seconds as per Microsoft data sheet.

HDInsight is a Hadoop-based service from Microsoft that brings a 100 percent Apache Hadoop solution to the cloud. A modern, cloud-based data platform that manages data of any type, whether structured or unstructured, and of any size, HDInsight makes it possible for you to gain the full value of big data.

Polybase is a integration technology between structured data stored in SQL Server and Unstructured data stored in HDinsight HDFS. The Analytics Platform System brings Microsoft's massively parallel processing (MPP) data warehouse technology-the SQL Server Parallel Data Warehouse (PDW)-together with HDInsight, Microsoft's 100% Apache Hadoop distribution, and delivers it as a turnkey appliance. To integrate data from SQL Server PDW with data from Hadoop, APS offers the PolyBase data querying technology.

Though the Polybase technology is part of a platform appliance, it is expected that in a Hybrid Cloud scenario enterprises can always make use of it and this may technology may also be available as part of Azure later.

SQL Server Analysis Services is probably most important part of this whole solution. It is often under looked from its capabilities perspective. However it has got very important algorithms to provide the required Machine Learning Capabilities for Internet Of things domain. The following are the important algorithms that will play a major role in machine learning.

Event Insights Consumer
Microsoft Power BI for Office 365 is a collection of features and services that enable you to visualize data, share discoveries, and collaborate in intuitive new ways. Microsoft Power BI for Office 365 provides an organization-wide self-service business intelligence (BI) infrastructure, and brings Excel workbook sharing, online collaboration, and IT infrastructure together into a holistic offering.

 

Summary
As suggested by numerous reports and white papers by both big players and analysts, the market potential for IoT is in the trillions of dollars globally per year and growing. Microsoft has rightly adopted the enablement of IoT with appropriate platform and tools. The Microsoft Azure Intelligent Systems Service helps enterprises embrace the Internet of Things (IoT) by securely connecting, managing and capturing machine-generated data from a variety of sensors and devices. While some of these services are still under limited public preview gaining appropriate expertise will help in meeting the challenges faced by new era of Ambient Intelligence.

More Stories By Srinivasan Sundara Rajan

Highly passionate about utilizing Digital Technologies to enable next generation enterprise. Believes in enterprise transformation through the Natives (Cloud Native & Mobile Native).

@ThingsExpo Stories
SYS-CON Events has announced today that Roger Strukhoff has been named conference chair of Cloud Expo and @ThingsExpo 2016 Silicon Valley. The 19th Cloud Expo and 6th @ThingsExpo will take place on November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. "The Internet of Things brings trillions of dollars of opportunity to developers and enterprise IT, no matter how you measure it," stated Roger Strukhoff. "More importantly, it leverages the power of devices and the Interne...
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to imp...
In addition to all the benefits, IoT is also bringing new kind of customer experience challenges - cars that unlock themselves, thermostats turning houses into saunas and baby video monitors broadcasting over the internet. This list can only increase because while IoT services should be intuitive and simple to use, the delivery ecosystem is a myriad of potential problems as IoT explodes complexity. So finding a performance issue is like finding the proverbial needle in the haystack.
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform. In his session at @ThingsExpo, Craig Sproule, CEO of Metavine, demonstrated how to move beyond today's coding paradigm and shared the must-have mindsets for removing complexity from the develo...
SYS-CON Events announced today that MangoApps will exhibit at the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. MangoApps provides modern company intranets and team collaboration software, allowing workers to stay connected and productive from anywhere in the world and from any device.
The IETF draft standard for M2M certificates is a security solution specifically designed for the demanding needs of IoT/M2M applications. In his session at @ThingsExpo, Brian Romansky, VP of Strategic Technology at TrustPoint Innovation, explained how M2M certificates can efficiently enable confidentiality, integrity, and authenticity on highly constrained devices.
SYS-CON Events announced today that LeaseWeb USA, a cloud Infrastructure-as-a-Service (IaaS) provider, will exhibit at the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. LeaseWeb is one of the world's largest hosting brands. The company helps customers define, develop and deploy IT infrastructure tailored to their exact business needs, by combining various kinds cloud solutions.
Early adopters of IoT viewed it mainly as a different term for machine-to-machine connectivity or M2M. This is understandable since a prerequisite for any IoT solution is the ability to collect and aggregate device data, which is most often presented in a dashboard. The problem is that viewing data in a dashboard requires a human to interpret the results and take manual action, which doesn’t scale to the needs of IoT.
Internet of @ThingsExpo has announced today that Chris Matthieu has been named tech chair of Internet of @ThingsExpo 2016 Silicon Valley. The 6thInternet of @ThingsExpo will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
When people aren’t talking about VMs and containers, they’re talking about serverless architecture. Serverless is about no maintenance. It means you are not worried about low-level infrastructural and operational details. An event-driven serverless platform is a great use case for IoT. In his session at @ThingsExpo, Animesh Singh, an STSM and Lead for IBM Cloud Platform and Infrastructure, will detail how to build a distributed serverless, polyglot, microservices framework using open source tec...
“delaPlex Software provides software outsourcing services. We have a hybrid model where we have onshore developers and project managers that we can place anywhere in the U.S. or in Europe,” explained Manish Sachdeva, CEO at delaPlex Software, in this SYS-CON.tv interview at @ThingsExpo, held June 7-9, 2016, at the Javits Center in New York City, NY.
"My role is working with customers, helping them go through this digital transformation. I spend a lot of time talking to banks, big industries, manufacturers working through how they are integrating and transforming their IT platforms and moving them forward," explained William Morrish, General Manager Product Sales at Interoute, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
A critical component of any IoT project is what to do with all the data being generated. This data needs to be captured, processed, structured, and stored in a way to facilitate different kinds of queries. Traditional data warehouse and analytical systems are mature technologies that can be used to handle certain kinds of queries, but they are not always well suited to many problems, particularly when there is a need for real-time insights.
The 19th International Cloud Expo has announced that its Call for Papers is open. Cloud Expo, to be held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, brings together Cloud Computing, Big Data, Internet of Things, DevOps, Digital Transformation, Microservices and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding business opportuni...
IoT is rapidly changing the way enterprises are using data to improve business decision-making. In order to derive business value, organizations must unlock insights from the data gathered and then act on these. In their session at @ThingsExpo, Eric Hoffman, Vice President at EastBanc Technologies, and Peter Shashkin, Head of Development Department at EastBanc Technologies, discussed how one organization leveraged IoT, cloud technology and data analysis to improve customer experiences and effi...
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform and how we integrate our thinking to solve complicated problems. In his session at 19th Cloud Expo, Craig Sproule, CEO of Metavine, will demonstrate how to move beyond today's coding paradigm ...
Big Data engines are powering a lot of service businesses right now. Data is collected from users from wearable technologies, web behaviors, purchase behavior as well as several arbitrary data points we’d never think of. The demand for faster and bigger engines to crunch and serve up the data to services is growing exponentially. You see a LOT of correlation between “Cloud” and “Big Data” but on Big Data and “Hybrid,” where hybrid hosting is the sanest approach to the Big Data Infrastructure pro...
From wearable activity trackers to fantasy e-sports, data and technology are transforming the way athletes train for the game and fans engage with their teams. In his session at @ThingsExpo, will present key data findings from leading sports organizations San Francisco 49ers, Orlando Magic NBA team. By utilizing data analytics these sports orgs have recognized new revenue streams, doubled its fan base and streamlined costs at its stadiums. John Paul is the CEO and Founder of VenueNext. Prior ...
The Quantified Economy represents the total global addressable market (TAM) for IoT that, according to a recent IDC report, will grow to an unprecedented $1.3 trillion by 2019. With this the third wave of the Internet-global proliferation of connected devices, appliances and sensors is poised to take off in 2016. In his session at @ThingsExpo, David McLauchlan, CEO and co-founder of Buddy Platform, discussed how the ability to access and analyze the massive volume of streaming data from millio...
Internet of @ThingsExpo, taking place November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with the 19th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world and ThingsExpo Silicon Valley Call for Papers is now open.