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 (2x1018 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…
Tags: Big Data, core, Data Gravity, Eclipse, edge, Enescu, ETL, Fog computing, IEEE, internet of things, IoT, krikkit, M2M, Moore, Nielsen, Open data, open source, virtualization
Cisco IT supports all its services with a global service management and delivery team. I am the service owner for the IT UC and video team; we own the strategy, planning and delivery of voice and video services throughout the Cisco enterprise. Read More »
Tags: cisco rms, coc-unified-communications, CUCM, jabber, lifecycle, management, monitor, phone, rms, UC, UCS, unified communications, updates, virtualization, voip
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
By Jim O’Leary, Senior Mobile Solutions Marketing Manager
So last week I attended the mobile industry’s World Cup or Super Bowl, the 2014 Mobile World Congress in Barcelona, Spain. The GSMA has just reported that more than 85,000 visitors from 201 countries attended the 2014 MWC attended the 4 day event, setting another new record. Every mobile operator, systems integrator, software and hardware vendor that touched the mobile industry was there. People were everywhere and all I can say was wow….
MWC Hot Topics that companies presented were on monetization, virtualization, and supersizing network components. With all of the hundreds of customers that I had the chance to speak with, virtualization and orchestration were really key areas for them. They came into our booth to speak with us, often confused as to them it seemed every vendor in attendance spoke about virtualization or orchestration, which often led operators to think that any vendor can do it. As many operators that have been evaluating this space for a while have found is that animated slides are easy to do but orchestrating and virtualizing a network is not. If you take a product that was just and “okay product”, then virtualize it, then you have a “virtualized okay product” and sometimes still tied to proprietary hardware.
According to Akshay Sharma, research director at Gartner, the Network Function Virtualization (NFV) market is Read More »
Tags: GGSN, LTE, quantum, Quantum vPC, Service Provider, StarOS, virtualization, Virtualized packet core, vPC
On February 18, Cisco announced the evolution of service provider (SP) networks. It is probably a good idea to step back, just a little, and explain how Cisco sees the challenges ahead and how we intend to continue to provide our mobile service provider customers with the strongest portfolio of solutions in the industry. That’s the reason I am writing this blog post. In it, I hope to share with you some of our learnings from the past year and also, explain a little bit about the rationale for our announcement.
We are virtualizing our entire SP portfolio. The year 2013 is one where the concept of “Network Function Virtualization” (NfV) caught the industry by storm. In NfV, virtualized network functions are software appliances executing on virtual machines delivered in a telco cloud environment. In a nutshell, NfV is attractive to our customers because it allows them to clearly delineate the respective values of software, hardware and professional services for total solution integration. Practices based on data center techniques promise to reduce the cost of operating the network and simplify work processes through the agility we are seeing today in the cloud environment. And none of this evolution will compromise the ability of service providers to deploy multi-vendor solutions though it is fair to state, procurement practices will need to re-align to this brave new world. For example, rather than procure integrated network functions to be assembled into a network, service providers may have to separate out layers Read More »
Tags: dpi, Gi-LAN, network function virtualization, NFV, RAN, SDN, Service Provider, virtualization