- TweetNLP — CMU open source natural language parsing tools for making sense of Tweets.
- Interview with Google X Life Science’s Head (Medium) — I will have been here two years this March. In nineteen months we have been able to hire more than a hundred scientists to work on this. We’ve been able to build customized labs and get the equipment to make nanoparticles and decorate them and functionalize them. We’ve been able to strike up collaborations with MIT and Stanford and Duke. We’ve been able to initiate protocols and partnerships with companies like Novartis. We’ve been able to initiate trials like the baseline trial. This would be a good decade somewhere else. The power of focus and money.
- Schooloscope Open Data Post-Mortem — The case of Schooloscope and the wider question of public access to school data challenges the belief that sunlight is the best disinfectant, that government transparency would always lead to better government, better results. It challenges the sentiments that see data as value-neutral and its representation as devoid of politics. In fact, access to school data exposes a sharp contrast between the private interest of the family (best education for my child) and the public interest of the government (best education for all citizens).
- M-Lab Observatory — explorable data on the data experience (RTT, upload speed, etc) across different ISPs in different geographies over time.
Range, power consumption, scalability, and bandwidth dominate technology decisions.
Three types of networking topologies are utilized in the Internet-of-Things: point-to-point, star, and mesh networking. To provide a way to explore the attributes and capabilities of each of these topologies, we defined a hypothetical (but realistic) application in the building monitoring and energy management space and methodically defined its networking requirements.
Let’s pull it all together to make a network selection for our building monitoring application. As described previously, the application will monitor, analyze, and optimize energy usage throughout the user’s properties. To accomplish this, monitoring and control points need to be deployed throughout each building, including occupancy and temperature sensors. Sensor data will be aggregated back to a central building automation panel located in each building. A continuous collection of data will provide a higher resolution of temperature and occupancy information, thus rendering better insight into HVAC performance and building utilization patterns. Comparison of energy utilization throughout the portfolio of properties allows lower performing buildings to be flagged.
A suitable network topology for building automation.
Editor’s note: this article is part of a series exploring the role of networking in the Internet of Things.
Today we are going to consider the attributes of wireless mesh networking, particularly in the context of our building monitoring and energy application.
A host of new mesh networking technologies came upon the scene in the mid-2000s through start-up ventures such as Millennial Net, Ember, Dust Networks, and others. The mesh network topology is ideally suited to provide broad area coverage for low-power, low-data rate applications found in application areas like industrial automation, home and commercial building automation, medical monitoring, and agriculture.
When to use a star network.
This article is part of a series exploring the role of networking in the Internet of Things.
In my previous post we evaluated a point-to-point networking technology, specifically Bluetooth, to determine its applicability to our building monitoring and energy application. In this post, we will evaluate the use of a star networking technology to meet our application needs.
A star network consists of one central hub that establishes a point-to-point network connection with all other nodes in the network (e.g. sensor nodes). This central hub acts as a common connection point for all nodes in the network. All peripheral nodes may therefore communicate with all others by transmitting to, and receiving from, the central hub only.
Today, Wi-Fi is by far the most commonly used wireless star topology. It is deployed widely throughout many environments, providing near ubiquitous internet access in facilities such as schools, campuses, office buildings, lodging, residential homes and so on. The term Wi-Fi is not a standard, but a term trademarked by The Wi-Fi Alliance and covering a number of IEEE 802.11 standards along with details of implementation.
As in past posts, let’s take a closer look at the technology and evaluate WI-Fi’s capabilities against the nine key application attributes that characterized our building monitoring and energy management application.
Toward unifying customer behavior and operations metrics.
For the last ten years I’ve had a foot in both the development and operations worlds. I stumbled into the world of IT operations as a result of having the most UNIX skills in the team shortly after starting at ThoughtWorks. I was fortunate enough to do so at a time when many of my ThoughtWorks colleagues and I where working on the ideas which were captured so well in Jez Humble and Dave Farley’s Continuous Delivery (Addison-Wesley).
During this time, our focus was on getting our application into production as quickly as possible. We were butting up against the limits of infrastructure automation and IaaS providers like Amazon were only in their earliest form.
Recently, I have spent time with operations teams who are most concerned with the longer-term challenges of looking after increasingly complex ecosystems of systems. Here the focus is on immediate feedback and knowing if they need to take action. At a certain scale, complex IT ecosystems can seem to exhibit emergent behavior, like an organism. The operations world has evolved a series of tools which allow these teams to see what’s happening *right now* so we can react, keep things running, and keep people happy.
At the same time, those of us who spend time thinking about how to quickly and effectively release our applications have become preoccupied with wanting to know if that software does what our customers want once it gets released. The Lean Startup movement has shown us the importance of putting our software in front of our customers, then working out how they actually use it so we can determine what to do next. In this world, I was struck by the shortcomings of the tools in this space. Commonly used web analytics tools, for example, might only help me understand tomorrow how my customers used my site today.
Bluetooth networking within the Internet of Things
This article is part of a series exploring the role of networking in the Internet of Things.
Previously, we set out to choose the wireless technology standard that best fits the needs of our hypothetical building monitoring and energy application. Going forward, we will look at candidate technologies within all three networking topologies discussed earlier: point-to-point, star, and mesh. We’ll start with Bluetooth, the focus of this post.
Bluetooth is the most common wireless point-to-point networking standard, designed for exchanging data over short distances. It was developed to replace the cables connecting portable and/or fixed devices.
Today, Bluetooth is well suited for relatively simple applications where two devices need to connect with minimal configuration setup, like a button press, as in a cell phone headset. The technology is used to transfer information between two devices that are near each other in low-bandwidth situations such as with tablets, media players, robotics systems, handheld and console gaming equipment, and some high-definition headsets, modems, and watches.
When considering Bluetooth for use in our building application, we must consider the capabilities of the technology and compare these capabilities to the nine application attributes outlined in my previous post. Let’s take a closer look at Bluetooth across these eight key attributes.
Brace yourself: Address exhaustion is coming
IPv6 is the global warming of the computer industry, an impending disaster that most folks don’t seem to be taking as seriously as they should be. We’re well into the exhaustion phase of the IPv4 address space, but most ISPs are still dragging their heels on supplying the wider protocol to the end user.
Android Malware Numbers, Open Networking Hardware, Winning with Data, and DIY Pollution Sensor
- Android Malware Numbers — (Quartz) less than an estimated 0.001% of app installations on Android are able to evade the system’s multi-layered defenses and cause harm to users, based on Google’s analysis of 1.5B downloads and installs.
- Facebook Operations Chief Reveals Open Networking Plan — long interview about OCP’s network project. The specification that we are working on is essentially a switch that behaves like compute. It starts up, it has a BIOS environment to do its diagnostics and testing, and then it will look for an executable and go find an operating system. You point it to an operating system and that tells it how it will behave and what it is going to run. In that model, you can run traditional network operating systems, or you can run Linux-style implementations, you can run OpenFlow if you want. And on top of that, you can build your protocol sets and applications.
- How Red Bull Dominates F1 (Quartz) — answer: data, and lots of it.
- Ground-Level Air Pollution Sensor (Make) — neat sensor project from Make.
DEFCON Doco, Global-Scale Networks, Media Goblin, and TCP/IP Legos
- DEFCON Documentary — free download, I’m looking forward to watching it on the flight back to NZ.
- Global-Scale Systems — botnets as example of the scale of networks and systems we’ll have to build but don’t have experience in.
- MediaGoblin — GNU project to build a decentralized alternative to Flickr, YouTube, SoundCloud, etc.
- Teaching TCP/IP Headers with Legos — genius. (via BoingBoing)
Transit and Peering, Quick Web Interfaces, Open Source Licensing, and RC Roach
- Why YouTube Buffers (ArsTechnica) — When asked if ISPs are degrading Netflix and YouTube traffic to steer users toward their own video services, Crawford told Ars that “the very powerful eyeball networks in the US (and particularly Comcast and Time Warner Cable) have ample incentive and ability to protect the IP services in which they have economic interests. Their real goal, however, is simpler and richer. They have enormous incentives to build a moat around their high-speed data networks and charge for entry because data is a very high-margin (north of 95 percent for the cable companies), addictive, utility product over which they have local monopoly control. They have told Wall Street they will do this. Yes, charging for entry serves the same purposes as discrimination in favor of their own VOD [video-on-demand], but it is a richer and blunter proposition for them.”
- Ink — MIT-licensed interface kit for quick development of web interfaces, simple to use and expand on.
- Licensing in a Post-Copyright World — This article is opening up a bit of the history of Open Source software licensing, how it seems to change and what we could do to improve it. Caught my eye: Oracle that relicensed Berkeley DB from BSD to APGLv3 [… effectively changing] the effective license for 106 other packages to AGPLv3 as well.
- RC Cockroaches (Vine) — video from Dale Dougherty of Backyard Brains Bluetooth RoboRoach. (via Dale Dougherty)