|By Michael Bushong||
|March 10, 2014 11:30 AM EDT||
Google’s pursuit of self-driving cars has been well documented over the years. The promise of fleets of self-driving vehicles that could potentially make driving safer while simultaneously shortening commute times makes it one of the most attractive futures technologies around. But where would self-driving cars be adopted first?
While there will certainly be some people with deep pockets in Silicon Valley who will want to be early adopters, commuter driving is not likely the place where this catches on first. A few self-driving cars on the freeway will not change the commute times in a meaningful way because they would be minorities amidst a sea of normal cars operating by the same people who have made commuting a nightmare up until this point. With commute times unchanged, it means that individuals would still have the same commute. The only difference is that they could text or read or do whatever while they sit in stop-and-go traffic.
Broader adoption will be led by use cases where the technology eliminates a problem.
To see Plexxi’s integration with OpenDaylight, tune into the March 14 live demonstration on SDNCentral. For full details, check out the event registration page.
Most of the cargo that moves within US borders is still transported by truck. These trucks operate under strict federal regulations that given how many hours drivers can man the wheel in any one day. This means that the distance that goods can move is dependent on the number of hours and the conditions on the road. What would happen if one of those constraints was lifted? Self-driving trucks would allow shipping companies to keep their goods on the move for a much longer period of time each day.
One scenario that could play out would be drivers riding along in the cab while the trucks negotiate major highways. There will still be a need for the actual drivers – filling gas, maintenance, unmapped roads, unusual traffic conditions, and so on. Plus, adoption is not going to start with completely driverless vehicles; a hybrid approach with someone present would make the transition easier.
But which companies push this first? Amazon is an interesting match.
Amazon’s business is retail, but they are really a giant logistics company. Their skills are in managing their supply chain. They have mastered the art of maintaining warehouses using advanced technologies like the Kiva Systems robots.
But despite all their prowess, it’s tough to compete with the same-day availability that local stores offer. Sure, Amazon has spun up same-day delivery services in a handful of markets, but these will be very limited by proximity to the goods being shipped. In essence, if people live within range of an existing warehouse, they can get same-day service.
To expand the service to more goods and geographies, Amazon could build out more warehouses. But the retail market exists on razor-thin margins. Building out a bunch of infrastructure to support same-day delivery might not be an economically viable model. But what would happen if Amazon could extend its warehouse capacity to where it was needed in a model that was more dynamic and elastic?
Self-driving trucks might make it possible to essentially provide rolling micro-warehouses stocked with goods based on trending demand. You wouldn’t pack the trucks with every good, but you might be able to stock them with basic staples that map to historic demand for certain areas. The trucks would be dispatched from their super-regional warehouses and then distribute en route to the next warehouse. There is still a last-mile problem; you wouldn’t use huge semis to deliver goods to individual homes. But Amazon could continue to use existing distribution channels. That said, it wouldn’t be a stretch to extend the self-driving car model to smaller delivery trucks as well, giving Amazon complete ownership over the delivery process.
So how does this relate to networking?
Networking has similar requirements around capacity. Where Amazon builds general warehouse capacity, most networks build out similar aggregate capacity. Without knowing what the traffic load will be or where it will manifest, both Amazon and network architectures provide high amounts of centralized capacity from which they serve their users.
However, Amazon’s problem is not solving its aggregate warehouse capacity problem. Instead, Amazon needs to provide capacity in much smaller sizes but in the locations that capacity is required. Similarly, solving the aggregate network capacity problem is interesting, but it is perhaps more meaningful to be able to provide smaller amounts of capacity where and when it is needed.
The question is how do you provide the required fluidity of capacity?
We have trained our industry for the past few years to think about applications as portable. Accordingly, we have spent a lot of time focused on how to make the network adjust to moving application workloads. But it’s not just the compute workloads that need to be portable. The networking workloads have a similar requirement. But how do you make capacity fluid when everything is statically wired?
Maybe that’s a problem worth solving too.
[Today’s fun fact: Men can read smaller print than women; women can hear better than men. I don’t know about other guys, but my wife certainly hears everything I say under my breath.]
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.
Jul. 23, 2016 11:00 AM EDT Reads: 1,795
So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, provided tips on how to be successful in large scale machine learning...
Jul. 23, 2016 11:00 AM EDT Reads: 1,114
What does it look like when you have access to cloud infrastructure and platform under the same roof? Let’s talk about the different layers of Technology as a Service: who cares, what runs where, and how does it all fit together. In his session at 18th Cloud Expo, Phil Jackson, Lead Technology Evangelist at SoftLayer, an IBM company, spoke about the picture being painted by IBM Cloud and how the tools being crafted can help fill the gaps in your IT infrastructure.
Jul. 23, 2016 10:45 AM EDT Reads: 1,947
"delaPlex is a software development company. We do team-based outsourcing development," explained Mark Rivers, COO and Co-founder of delaPlex Software, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Jul. 23, 2016 10:00 AM EDT Reads: 1,880
"C2M is our digital transformation and IoT platform. We've had C2M on the market for almost three years now and it has a comprehensive set of functionalities that it brings to the market," explained Mahesh Ramu, Vice President, IoT Strategy and Operations at Plasma, in this SYS-CON.tv interview at @ThingsExpo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Jul. 23, 2016 10:00 AM EDT Reads: 1,026
Traditional IT, great for stable systems of record, is struggling to cope with newer, agile systems of engagement requirements coming straight from the business. In his session at 18th Cloud Expo, William Morrish, General Manager of Product Sales at Interoute, outlined ways of exploiting new architectures to enable both systems and building them to support your existing platforms, with an eye for the future. Technologies such as Docker and the hyper-convergence of computing, networking and sto...
Jul. 23, 2016 09:45 AM EDT Reads: 948
Whether your IoT service is connecting cars, homes, appliances, wearable, cameras or other devices, one question hangs in the balance – how do you actually make money from this service? The ability to turn your IoT service into profit requires the ability to create a monetization strategy that is flexible, scalable and working for you in real-time. It must be a transparent, smoothly implemented strategy that all stakeholders – from customers to the board – will be able to understand and comprehe...
Jul. 23, 2016 09:45 AM EDT Reads: 1,719
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.
Jul. 23, 2016 09:15 AM EDT Reads: 1,000
The cloud market growth today is largely in public clouds. While there is a lot of spend in IT departments in virtualization, these aren’t yet translating into a true “cloud” experience within the enterprise. What is stopping the growth of the “private cloud” market? In his general session at 18th Cloud Expo, Nara Rajagopalan, CEO of Accelerite, explored the challenges in deploying, managing, and getting adoption for a private cloud within an enterprise. What are the key differences between wh...
Jul. 23, 2016 09:00 AM EDT Reads: 1,912
It’s 2016: buildings are smart, connected and the IoT is fundamentally altering how control and operating systems work and speak to each other. Platforms across the enterprise are networked via inexpensive sensors to collect massive amounts of data for analytics, information management, and insights that can be used to continuously improve operations. In his session at @ThingsExpo, Brian Chemel, Co-Founder and CTO of Digital Lumens, will explore: The benefits sensor-networked systems bring to ...
Jul. 23, 2016 08:15 AM EDT Reads: 1,431
Large scale deployments present unique planning challenges, system commissioning hurdles between IT and OT and demand careful system hand-off orchestration. In his session at @ThingsExpo, Jeff Smith, Senior Director and a founding member of Incenergy, will discuss some of the key tactics to ensure delivery success based on his experience of the last two years deploying Industrial IoT systems across four continents.
Jul. 23, 2016 08:00 AM EDT Reads: 1,387
Much of IT terminology is often misused and misapplied. Modernization and transformation are two such terms. They are often used interchangeably even though they mean different things and have very different connotations. Indeed, it is somewhat safe to assume that in IT any transformative effort is likely to also have a modernizing effect, and thus, we can see these as levels of improvement efforts. However, many businesses are being led to believe if they don’t transform now they risk becoming ...
Jul. 23, 2016 08:00 AM EDT Reads: 1,044
SYS-CON Events announced today the Enterprise IoT Bootcamp, being held November 1-2, 2016, in conjunction with 19th Cloud Expo | @ThingsExpo at the Santa Clara Convention Center in Santa Clara, CA. Combined with real-world scenarios and use cases, the Enterprise IoT Bootcamp is not just based on presentations but with hands-on demos and detailed walkthroughs. We will introduce you to a variety of real world use cases prototyped using Arduino, Raspberry Pi, BeagleBone, Spark, and Intel Edison. Y...
Jul. 23, 2016 08:00 AM EDT Reads: 1,233
Identity is in everything and customers are looking to their providers to ensure the security of their identities, transactions and data. With the increased reliance on cloud-based services, service providers must build security and trust into their offerings, adding value to customers and improving the user experience. Making identity, security and privacy easy for customers provides a unique advantage over the competition.
Jul. 23, 2016 07:45 AM EDT Reads: 951
SYS-CON Events announced today that Venafi, the Immune System for the Internet™ and the leading provider of Next Generation Trust Protection, will exhibit at @DevOpsSummit at 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Venafi is the Immune System for the Internet™ that protects the foundation of all cybersecurity – cryptographic keys and digital certificates – so they can’t be misused by bad guys in attacks...
Jul. 23, 2016 07:45 AM EDT Reads: 1,043
Jul. 23, 2016 07:30 AM EDT Reads: 2,010
"There's a growing demand from users for things to be faster. When you think about all the transactions or interactions users will have with your product and everything that is between those transactions and interactions - what drives us at Catchpoint Systems is the idea to measure that and to analyze it," explained Leo Vasiliou, Director of Web Performance Engineering at Catchpoint Systems, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York Ci...
Jul. 23, 2016 07:15 AM EDT Reads: 1,835
"Tintri was started in 2008 with the express purpose of building a storage appliance that is ideal for virtualized environments. We support a lot of different hypervisor platforms from VMware to OpenStack to Hyper-V," explained Dan Florea, Director of Product Management at Tintri, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Jul. 23, 2016 07:15 AM EDT Reads: 1,769
For basic one-to-one voice or video calling solutions, WebRTC has proven to be a very powerful technology. Although WebRTC’s core functionality is to provide secure, real-time p2p media streaming, leveraging native platform features and server-side components brings up new communication capabilities for web and native mobile applications, allowing for advanced multi-user use cases such as video broadcasting, conferencing, and media recording.
Jul. 23, 2016 06:45 AM EDT Reads: 570
IoT generates lots of temporal data. But how do you unlock its value? You need to discover patterns that are repeatable in vast quantities of data, understand their meaning, and implement scalable monitoring across multiple data streams in order to monetize the discoveries and insights. Motif discovery and deep learning platforms are emerging to visualize sensor data, to search for patterns and to build application that can monitor real time streams efficiently. In his session at @ThingsExpo, ...
Jul. 23, 2016 06:30 AM EDT Reads: 643