The Hedge 27: New directions in network and computing systems
On this episode of the Hedge, Micah Beck joins us to discuss a paper he wrote recently considering a new model of compute, storage, and networking. Micah Beck is Associate Professor in computer science at the University of Tennessee, Knoxville, where he researches and publishes in the area of networking technologies, including the hourglass model and the end-to-end principle.
Enterprise and Service Provider—Once more into the Windmill
There is no enterprise, there is no service provider—there are problems, and there are solutions. I’m certain everyone reading this blog, or listening to my podcasts, or listening to a presentation I’ve given, or following along in some live training or book I’ve created, has heard me say this. I’m also certain almost everyone has heard the objections to my argument—that hyperscaler’s problems are not your problems, the technologies and solutions providers user are fundamentally different than what enterprises require.
Let me try to recap some of the arguments I’ve heard used against my assertion.
The Hedge 26: Jason Gooley and CHINOG
CHINOG is a regional network operators group that meets in Chicago once a year. For this episode of the Hedge, Jason Gooley joins us to talk about the origins of CHINOG, the challenges involved in running a small conference, some tips for those who would like to start a conference of this kind, and thoughts on the importance of community in the network engineering world.
The Art and Necessity of Refocusing
Staring at the white line is fun at first, then mesmerizing, then it is frightening… then finally it is just plain dull. But let’s talk about the terrifying bit because it’s the scary stage that makes us all reject change out of fear for the future. And, trust me, a kid sitting in a car with no doors staring down at the white line while his uncle drives 60 miles-per-hour is going to be frightened from time to time.
The Hedge 25: Building the Next Generation of Network Engineer
If there is one thing I notice when I look around at the IETF—and many other places where I meet a lot of network operations and engineering folk—it’s that we all seem to be getting a bit older. This should lead us to an obvious question—what are we doing about bringing up a new generation of network engineers? David Huberman joins Tom Ammon and I to discuss this interesting question. David i s involved in a number of community-based efforts to train next generation network engineers, some of which he discusses in his excellent article at the APNIC blog.
Whither Cyber-Insurance?
Will cyber-insurance exist as a “separate thing” in the future? The authors largely answer in the negative. The pressures of “race to the bottom,” providing maximal coverage with minimal costs (which they attribute to the structure of the cyber-insurance market), combined with lack of regulatory clarity and inaccurate measurements, will probably end up causing cyber-insurance to “fold into” other kinds of insurance.
The Hedge 24: Single Source of Truth
Tim Schreyack recently presented at NANOG on the topic of building a single source of truth for network automation. Tim joins Tom and Russ in a wide-ranging discussion about single sources of truth, changing the way we see the network, and the changing skills of network engineers.
Ironies of Automation
This is the first of the ironies of automation Lisanne Bainbridge discusses—and this is the irony I’d like to explore. The irony she is articulating is this: the less you work on a system, the less likely you are to be able to control that system efficiently. Once a system is automated, however, you will not work on the system on a regular basis, but you will be required to take control of the system when the automated controller fails in some way. Ironically, in situations where the automated controller fails, the amount of control required to make things right again will be greater than in normal operation.
In the case of machine operation, it turns out that the human operator is required to control the machine in just the situations where the least amount of experience is available. This is analogous to the automated warehouse in which automated systems are used to stack and sort material. When the automated systems break down, there is absolutely no way for the humans involved to figure out why things are stacked the way they are, nor how to sort things out to get things running again.
The Hedge 23: The MOPS Working Group
The IETF works on many things beyond IP and routing—the Media Operations (MOPS) working group is gathering input on media-related operational issues and practices, including “proposed technologies related to the deployment, engineering, and operation of media streaming and manipulation protocols and procedures in the global Internet (inter-domain) and within-domain networking.” Leslie Daigle and Eric Vyncke, the co-chairs of the MOPS working group, join Alvaro Retana and Russ White to discuss the work they are doing.
Knowing How Things Work
Simon Weckhert recently hacked Google Maps into guiding drivers around a street through a rather simple mechanism: he placed 95 cellphones, all connected to Google Maps, in a little wagon and walked down the street with the wagon in tow. Maps saw this group of cell phones as a very congested street—95 cars cannot even physically fit into the street he was walking down—and guided other drivers around the area. The idea is novel, and the result rather funny, but it also illustrates a weakness in our “modern scientific mindset” that often bleeds over into network engineering.
The basic problem is this: we assume users will use things the way we intend them to. This never works out in the real world, because users are going to use wrenches as hammers, cell phones as if they were high-end cameras, and many other things in ways they were never intended. To make matters worse, users often “infer” the way something works, and adapt their actions to get what they want based on their inference. For instance, everyone who drives “reverse-engineers” the road in their head, thinking about what the maximum safe speed might be, etc. Social media users do the same thing when posting or reading through their timeline, causing people to create novel and interesting ideas about how these things work that have no bearing on reality.