The Internet of Everything (IoE) describes machine-to-machine (M2M) compute entities that track and measure real-time data that can be used to build out a data history for analytics that could be used to optimize the quality of life. The opportunity is represented by devices used in a person’s everyday life that are connected to the Internet, have the ability to learn a person’s consumption behavior, and embody the goal to improve the efficacy of services and goods delivery and consumption. Cisco Systems CEO John Chambers says that the Internet of Everything could be a $19 trillion opportunity. 1 Read More »
According to the GSMA estimates for Machine-To-Machine (M2M), ten countries account for 70% of all M2M connections as of year-end 2013, comprising China, the US, Japan, Brazil, France, Italy, the UK, Russia, Germany and South Africa.
So what is the problem? Well as you can see the people of Japan will take and use their mobile devices anywhere and at any time. The country is geographically dispersed, and earthquakes occur all of the time (mostly very small). All along the amount of mobile traffic is growing at an astounding rate with no signs of slowing down, with the M2M industry just beginning. So what is an operator like NTT Docomo supposed to do?
What’s the solution? NTT Docomo has Read More »
Tags: Catalyst 4900, Cisco Prime Fulfillment, Cisco Quantum™ Virtualized Packet Core, EPC, esp, evolved services platform, IOT Cloud Connect, Jim O’Leary, LTE, M2M, QvPC, Service Provider, UCS, Virtualized packet core, vni
Wow how time flies, three months ago there was snow and cold weather in Boston but at the same time it was quite hot at the 2014 MWC. Hot from all of the discussions on Network Functions Virtualization (NFV) and Orchestration were on everyone’s minds, as both mobile operators and vendors try to answer the question “How to handle Machine-to-Machine (M2M), Internet-Of-Things (IOT) and the 50 Billion new devices by 2020”.
Fast forward to today and NFV & Orchestration Proof Of Concepts (POC) are being requested by or being inserted in every mobile operators network. Many of whom will be publically launching in specific application areas like M2M soon, and several operators are evaluating insertion into their main network sooner than expected.
Cisco Quantum™ Virtualized Packet Core (Quantum vPC), the industry’s most complete, fully virtualized EPC (Evolved Packet Core) that Read More »
A consequence of the Moore Nielsen prediction is the phenomenon known as Data Gravity: big data is hard to move around, much easier for the smaller applications to come to it. Consider this: it took mankind over 2000 years to produce 2 Exabytes (2×1018 bytes) of data until 2012; now we produce this much in a day! The rate will go up from here. With data production far exceeding the capacity of the Network, particularly at the Edge, there is only one way to cope, which I call the three mega trends in networking and (big) data in Cloud computing scaled to IoT, or as some say, Fog computing:
- Dramatic growth in the applications specialized and optimized for analytics at the Edge: Big Data is hard to move around (data gravity), cannot move data fast enough to the analytics, therefore we need to move the analytics to the data. This will cause a dramatic growth in applications, specialized and optimized for analytics at the edge. Yes, our devices have gotten smarter, yes P2P traffic has become largest portion of Internet traffic, and yes M2M has arrived as the Internet of Things, there is no way to make progress but making the devices smarter, safer and, of course, better connected.
- Dramatic growth in the computational complexity to ETL (extract-transform-load) essential data from the Edge to be data-warehoused at the Core: Currently most open standards and open source efforts are buying us some time to squeeze as much information in as little time as possible via limited connection paths to billions of devices and soon enough we will realize there is a much more pragmatic approach to all of this. A jet engine produces more than 20 Terabytes of data for an hour of flight. Imagine what computational complexity we already have that boils that down to routing and maintenance decisions in such complex machines. Imagine the consequences of ignoring such capability, which can already be made available at rather trivial costs.
- The drive to instrument the data to be “open” rather than “closed”, with all the information we create, and all of its associated ownership and security concerns addressed: Open Data challenges have already surfaced, there comes a time when we begin to realize that an Open Data interface and guarantees about its availability and privacy need to be made and enforced. This is what drives the essential tie today between Public, Private and Hybrid cloud adoption (nearly one third each) and with the ever-growing amount of data at the Edge, the issue of who “owns” it and how is access “controlled” to it, become ever more relevant and important. At the end of the day, the producer/owner of the data must be in charge of its destiny, not some gatekeeper or web farm. This should not be any different that the very same rules that govern open source or open standards.
Last week I addressed these topics at the IEEE Cloud event at Boston University with wonderful colleagues from BU, Cambridge, Carnegie Mellon, MIT, Stanford and other researchers, plus of course, industry colleagues and all the popular, commercial web farms today. I was pleasantly surprised to see not just that the first two are top-of-mind already, but that the third one has emerged and is actually recognized. We have just started to sense the importance of this third wave, with huge implications in Cloud compute. My thanks to Azer Bestavros and Orran Krieger (Boston University), Mahadev Satyanarayanan (Carnegie Mellon University) and Michael Stonebraker (MIT) for the outstanding drive and leadership in addressing these challenges. I found Project Olive intriguing. We are happy to co-sponsor the BU Public Cloud Project, and most importantly, as we just wrapped up EclipseCon 2014 this week, very happy to see we are already walking the talk with Project Krikkit in Eclipse M2M. I made a personal prediction last week: just as most Cloud turned out to be Open Source, IoT software will all be Open Source. Eventually. The hard part is the Data, or should I say, Data Gravity…
March is a rather event-laden month for Open Source and Open Standards in networking: the 89th IETF, EclipseCon 2014, RSA 2014, the Open Networking Summit, the IEEE International Conference on Cloud (where I’ll be talking about the role of Open Source as we morph the Cloud down to Fog computing) and my favorite, the one and only Open Source Think Tank where this year we dive into the not-so-small world (there is plenty of room at the bottom!) of machine-to-machine (m2m) and Open Source, that some call the Internet of Everything.
There is a lot more to March Madness, of course, in the case of Open Source, a good time to celebrate the 1st anniversary of “Meet Me on the Equinox“, the fleeting moment where daylight conquered the night the day that project Daylight became Open Daylight. As I reflect on how quickly it started and grew from the hearts and minds of folks more interested in writing code than talking about standards, I think about how much the Network, previously dominated, as it should, by Open Standards, is now beginning to run with Open Source, as it should. We captured that dialog with our partners and friends at the Linux Foundation in this webcast I hope you’ll enjoy. I hope you’ll join us in this month in one of these neat places.
As Open Source has become dominant in just about everything, Virtualization, Cloud, Mobility, Security, Social Networking, Big Data, the Internet of Things, the Internet of Everything, you name it, we get asked how do we get the balance right? How does one work with the rigidity of Open Standards and the fluidity of Open Source, particularly in the Network? There is only one answer, think of it as the Yang of Open Standards, the Yin of Open Source, they need each other, they can not function without the other, particularly in the Network. Open Source is just the other side, the wild side!
Tags: Big Data, cloud, Eclipse, Fog, IEEE, ietf, internet of things, IoE, IoT, Linux, Linux Foundation, M2M, network, Open Daylight, open source, open standards, social networking, virtualization, Yin Yang