Welcome!

Related Topics: @ThingsExpo, Mobile IoT, Microsoft Cloud, @CloudExpo, @DXWorldExpo, @DevOpsSummit

@ThingsExpo: Article

The Rise of Things

The screens in our lives will slowly start to take a back seat to a model of computing that operates off the context we generate

End-user computing devices have followed a trajectory of faster, smaller, and cheaper for several decades: adding better connectivity, more natural interfaces, but largely remaining a device with a screen and human input device. This model is breaking down as computation and connectivity collide with ordinary real-world things. These things often have existing physical methods of interacting with them that we culturally don't want to change or no interface at all.

I've been involved with devices for much of my professional career, starting with television set top boxes at Microsoft for the better part of a decade, then working in mobile as part of the Android team at Google, and most recently in the Internet of Things at Nest Labs before rejoining Microsoft as part of our platform strategy team. In my current role, one of my focus areas has been to think about so called Internet of Things and what that means for the industry, for Microsoft, and for enterprises and consumers.

It's clear to me that the future of computing lies in these things. The screens in our lives will slowly start to take a back seat to a model of computing that operates off of the context that we generate. In this sense, computing will take a much more active role in our lives but at the same time much more invisible. That said there are substantial challenges in getting from where we are today to this future, and I thought I'd survey those problems and potential solutions.

Connectivity
In the broader Internet, we've started to think about connectivity as a given. The pervasiveness of networks and the consolidation of the industry around cellular standards like LTE and wireless standards like 802.11 mean that, for our computing devices, we are almost always connected and the design of applications has shifted from primarily offline to primarily online to match this.

One of the key challenges in the Internet of Things is that it doesn't fit cleanly into this. The existing set of wireless and cellular standards are wholly unsuited for long longevity battery use - they are designed for devices, like our computer or phone, that are always or frequently connected to a power plug.

A door lock is a good example of a real-world device. It isn't connected to a power plug. While one solution could be to change or charge the batteries in your door lock once a month so that it can use Wi-Fi, when you step back and realize that there are hundreds of these devices in the home, it's clear that this would quickly limit our desire to manage more than a handful of these in our houses.

Rethinking then how we connect these devices is one of the key challenges facing the industry. There are a number of efforts to solve this, including new protocols like Zigbee, but the most promising of these are the efforts to create highly efficient variants of existing protocols like 802.11 with 802.11ah or Bluetooth with Bluetooth Low Energy (now branded Bluetooth Smart). These technologies hold the promise to overcome rapid power consumption in these devices.

In many ways, Bluetooth Smart is already here. As part of the Bluetooth 4.0 spec, it has piggybacked its way into many of the latest Bluetooth chipsets and from a software platform perspective (Windows 8, iOS, and Android platforms all include support for it). Given this, it is starting to become prevalent with the latest wave of devices. It also promises multi-year battery life levels of efficiency and provides an abstraction mechanism for exposing data and control through its characteristics and services. I wouldn't be surprised to see Bluetooth Smart move front and center in 2014 as it gains critical mass as a key way of bridging to these real-world things.

Applications
The simplicity of these devices implies that what it means to be an application will also change. In this world, applications shift from being something with a user interface that runs on our devices and backed by the cloud to a model where an application analyzes the context provided by potentially a large number of these devices. The application will begin to present itself less on a screen and more in the state changes in the real world. These applications will not run on any one of these devices but between them.

Message Based
One potential model for this that we are experimenting with at Microsoft is a messaging-based approach. You can conceptually think about this as "Twitter for devices" where devices and applications communicate using messages through a message broker. The schema for these messages is well known among the principals in the system, enabling applications and devices to communicate that otherwise have no knowledge of each other.

This is a key advantage because devices in this new world are shifting from being consumption and creation devices to devices that provide context and control. A messaging-based approach allows you to leverage the message stream from one of these devices for multiple applications without correspondingly taxing this device with multiple requests for state. For example, a proximity sensor in your office hallway provides very interesting context for a security application for the building but is equally interesting to an application that uses them to make dynamic climate control decisions. A messaging model enables this with one set of state. It also provides a clean archiving and auditing model, enabling you to look back over this data two years later, for instance, when you want to build an occupancy model for your building across all of its proximity sensors.

Management
The quantity and sensitivity of these devices will also mean that we need to rethink how we manage them and their data streams.

We currently manage an increasingly large number of computing devices in our lives, and while application stores have made it easier for us to install and upgrade applications and operating systems, we still spend a significant amount of time managing our devices.

As we increase the number of devices by an order of magnitude, we won't be able to provide this same level of love and care for every device in our lives. These devices are going to need to be largely autonomous. One of the core challenges of Internet of Things will be building the infrastructure to enable this level of autonomy.

Highly Distributed
Our current conception of devices working with services is largely a two-tier model. For many applications that require precise control, the 200ms latency involved in doing a round-trip from a home in Oklahoma to a data center in Virginia where multiple devices' message streams are combined may be too much. This means that applications that require this level of low latency will need to execute much closer to the edge. That said, there are many applications that will require the computational capacity and flexibility that only a larger public or private cloud data center can provide. One of the key challenges we face is providing a single abstraction for developers such that both these classes of application use the same interfaces and the infrastructure is smart enough to satisfy them transparently.

The data streams involved in the Internet of Things are also typically highly sensitive, either in the context that they provide on us or the sensitivity of the equipment that they control. One of the things we must demand as individuals and enterprises is control on what set of data we send to a centralized public cloud versus retain within systems under our control.

I believe these factors will drive a distributed approach to the Internet of Things, where applications move to the data instead the current direction of all of our data moving to the applications in the public cloud. At Microsoft we are currently experimenting with this hybrid approach, where there are several hierarchical tiers of increasing computation and storage as you go toward the cloud. Applications and data in this model flow between these tiers to the appropriate level that balances computational, latency, and privacy concerns. This distributed approach is also another key reason that an immutable messaging-based approach makes sense - it enables you to replicate these message streams between these tiers in the system while applying permission-based controls to filter them down to the messages you are comfortable sharing with another application or computational tier.

Big Data
One thing that is clear is that the volume of data that is generated from these much more numerous devices will be staggering. For example, capturing all of the data from a single car's lifetime in an enterprise fleet requires upwards of 100GB on a relatively spacious once-a-second resolution. For an enterprise like Avis, which has on the order of 150,000 cars, this means managing nearly 15PB of information over the lifetime of one generation of cars.

As an industry we have established batch algorithms and platforms like map/reduce and Hadoop and newer near real-time platforms like Storm to process these large streams of information - but these still require substantial data science and DevOps investments to operate, which put them out of the reach of smaller organizations. A key challenge is making it easier to run data pipelines that operate on the context these devices generate and building abstractions that make them easier to develop for and to use with existing information worker tools.

First Steps
We are at the very beginning of this transformation and are all still trying to get our heads around the right model that solves the problems in this space. Although I've posed a number of potential solutions in this post, you should take these more as strawmen to start a discussion than any concrete recommendation. I'd love to talk with you if working on any problems in this space - feel free to reach out to me at [email protected] or @timpark on Twitter.

More Stories By Tim Park

Tim Park is Director, Platform Strategy at Microsoft. He helps to set the direction of Microsoft platforms internally with a focus on the startup and open source communities. He has over 15 years of application development experience across client and server from work at Microsoft and two startups (WebTV Networks and Nest Labs).

As global advocate for the startup and open source community within Microsoft, Park evangelizes the product needs of startups and open source communities within Microsoft across client and cloud and help these communities understand what Microsoft has to offer them in terms of platforms, programs, and partnerships

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


Latest Stories
22nd International Cloud Expo, taking place June 5-7, 2018, at the Javits Center in New York City, NY, and co-located with the 1st DXWorld Expo will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud ...
@DevOpsSummit at Cloud Expo, taking place November 12-13 in New York City, NY, is co-located with 22nd international CloudEXPO | first international DXWorldEXPO and will feature technical sessions from a rock star conference faculty and the leading industry players in the world.
Without lifecycle traceability and visibility across the tool chain, stakeholders from Planning-to-Ops have limited insight and answers to who, what, when, why and how across the DevOps lifecycle. This impacts the ability to deliver high quality software at the needed velocity to drive positive business outcomes. In his general session at @DevOpsSummit at 19th Cloud Expo, Eric Robertson, General Manager at CollabNet, will discuss how customers are able to achieve a level of transparency that e...
"DivvyCloud as a company set out to help customers automate solutions to the most common cloud problems," noted Jeremy Snyder, VP of Business Development at DivvyCloud, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
More and more brands have jumped on the IoT bandwagon. We have an excess of wearables – activity trackers, smartwatches, smart glasses and sneakers, and more that track seemingly endless datapoints. However, most consumers have no idea what “IoT” means. Creating more wearables that track data shouldn't be the aim of brands; delivering meaningful, tangible relevance to their users should be. We're in a period in which the IoT pendulum is still swinging. Initially, it swung toward "smart for smart...
"We were founded in 2003 and the way we were founded was about good backup and good disaster recovery for our clients, and for the last 20 years we've been pretty consistent with that," noted Marc Malafronte, Territory Manager at StorageCraft, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
As data explodes in quantity, importance and from new sources, the need for managing and protecting data residing across physical, virtual, and cloud environments grow with it. Managing data includes protecting it, indexing and classifying it for true, long-term management, compliance and E-Discovery. Commvault can ensure this with a single pane of glass solution – whether in a private cloud, a Service Provider delivered public cloud or a hybrid cloud environment – across the heterogeneous enter...
We all know that end users experience the internet primarily with mobile devices. From an app development perspective, we know that successfully responding to the needs of mobile customers depends on rapid DevOps – failing fast, in short, until the right solution evolves in your customers' relationship to your business. Whether you’re decomposing an SOA monolith, or developing a new application cloud natively, it’s not a question of using microservices - not doing so will be a path to eventual ...
We all know that end users experience the internet primarily with mobile devices. From an app development perspective, we know that successfully responding to the needs of mobile customers depends on rapid DevOps – failing fast, in short, until the right solution evolves in your customers' relationship to your business. Whether you’re decomposing an SOA monolith, or developing a new application cloud natively, it’s not a question of using microservices - not doing so will be a path to eventual ...
DXWorldEXPO LLC announced today that ICC-USA, a computer systems integrator and server manufacturing company focused on developing products and product appliances, will exhibit at the 22nd International CloudEXPO | DXWorldEXPO. DXWordEXPO New York 2018, colocated with CloudEXPO New York 2018 will be held November 11-13, 2018, in New York City. ICC is a computer systems integrator and server manufacturing company focused on developing products and product appliances to meet a wide range of ...
We all know that end users experience the Internet primarily with mobile devices. From an app development perspective, we know that successfully responding to the needs of mobile customers depends on rapid DevOps – failing fast, in short, until the right solution evolves in your customers' relationship to your business. Whether you’re decomposing an SOA monolith, or developing a new application cloud natively, it’s not a question of using microservices – not doing so will be a path to eventual b...
Sanjeev Sharma Joins November 11-13, 2018 @DevOpsSummit at @CloudEXPO New York Faculty. Sanjeev Sharma is an internationally known DevOps and Cloud Transformation thought leader, technology executive, and author. Sanjeev's industry experience includes tenures as CTO, Technical Sales leader, and Cloud Architect leader. As an IBM Distinguished Engineer, Sanjeev is recognized at the highest levels of IBM's core of technical leaders.
Michael Maximilien, better known as max or Dr. Max, is a computer scientist with IBM. At IBM Research Triangle Park, he was a principal engineer for the worldwide industry point-of-sale standard: JavaPOS. At IBM Research, some highlights include pioneering research on semantic Web services, mashups, and cloud computing, and platform-as-a-service. He joined the IBM Cloud Labs in 2014 and works closely with Pivotal Inc., to help make the Cloud Found the best PaaS.
Headquartered in Plainsboro, NJ, Synametrics Technologies has provided IT professionals and computer systems developers since 1997. Based on the success of their initial product offerings (WinSQL and DeltaCopy), the company continues to create and hone innovative products that help its customers get more from their computer applications, databases and infrastructure. To date, over one million users around the world have chosen Synametrics solutions to help power their accelerated business or per...
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.