Can we help AT&T solve its mobile data problem?
I'm in midtown Manhattan, connected to the Net over my hotel's slow but costly wi-fi connection. Normally when I'm traveling — at least here in the U.S. — I avoid lame hotel connections by using AT&T's cellular data system, usually through my iPhone's "personal hotspot."
But that doesn't work here, except in the wee hours, I assume because demand on the system is lower. But I don't know. Maybe you do. If so, perhaps this fodder will stoke the problem-solving fires:
PING google.com (188.8.131.52): 56 data bytes
64 bytes from 184.108.40.206: icmp_seq=0 ttl=51 time=101.064 ms
64 bytes from 220.127.116.11: icmp_seq=1 ttl=51 time=92.423 ms
Request timeout for icmp_seq 2
Request timeout for icmp_seq 32
64 bytes from 18.104.22.168: icmp_seq=2 ttl=51 time=31309.253 ms
64 bytes from 22.214.171.124: icmp_seq=3 ttl=51 time=30364.809 ms
64 bytes from 126.96.36.199: icmp_seq=5 ttl=51 time=28366.889 ms
64 bytes from 188.8.131.52: icmp_seq=7 ttl=51 time=26370.460 ms
64 bytes from 184.108.40.206: icmp_seq=10 ttl=51 time=23369.719 ms
64 bytes from 220.127.116.11: icmp_seq=12 ttl=51 time=21384.230 ms
64 bytes from 18.104.22.168: icmp_seq=14 ttl=51 time=19385.376 ms
64 bytes from 22.214.171.124: icmp_seq=4 ttl=51 time=29390.279 ms
64 bytes from 126.96.36.199: icmp_seq=6 ttl=51 time=27393.178 ms
64 bytes from 188.8.131.52: icmp_seq=9 ttl=51 time=24401.894 ms
64 bytes from 184.108.40.206: icmp_seq=11 ttl=51 time=22405.324 ms
64 bytes from 220.127.116.11: icmp_seq=13 ttl=51 time=20404.648 ms
64 bytes from 18.104.22.168: icmp_seq=15 ttl=51 time=18448.794 ms
64 bytes from 22.214.171.124: icmp_seq=34 ttl=51 time=453.465 ms
Request timeout for icmp_seq 47
Request timeout for icmp_seq 58
64 bytes from 126.96.36.199: icmp_seq=35 ttl=51 time=24054.439 ms
Request timeout for icmp_seq 60
Request timeout for icmp_seq 87
--- google.com ping statistics ---
89 packets transmitted, 17 packets received, 80.9% packet loss
round-trip min/avg/max/stddev = 92.423/20452.720/31309.253/10051.146 ms
There are two ways we can go with this information. One is to give crap to AT&T, or to me for using AT&T (and for using an iPhone... I also have an Android, btw & fwiw) — or to the futilities of trying to do anything serious over something so commercial and klugey as a cellular data system. The other is to help AT&T with a problem it clearly has, as technical folk. If we can.
That's the appeal here. What's going wrong? Inadequate provisioning of capacity? Bufferbloat? Something else?
There's another issue I want to explore with this exercise, and that's opening companies to help from the customer/user side. Companies like AT&T aren't set up for that. They're organized to heal themselves from the inside.This excludes more sources of help than it includes, especially when the problems are technical and there are technical people on the outside who have perspective and expertise, and can provide useful assistance.
It's easy to be cynical about the prospects of companies opening up to real outside help. It's harder to try breaking them open. But that's what I'm after in this case.
We've got a lot of technical readers here. Lots of those readers have mobile phones. Probably more than a few have the same problems (and not just with AT&T) that my phone is experiencing here. Why not help out?
Here's another factor to consider: it's still early. We've hardly begun to build out the infrastructure for what Bob Frankston calls "ambient connectivity." Chances are, once we have ambient connectivity, cellular telephony will not be what most of us are using at the lower layers of the stack. But we'll get to ambient connectivity (and nearer milestones) faster, methinks, if we help work kinks out of the systems we do have today, and mobile data over cellular connections is one of those systems.
Doc Searls is Senior Editor of Linux Journal
Practical Task Scheduling Deployment
July 20, 2016 12:00 pm CDT
One of the best things about the UNIX environment (aside from being stable and efficient) is the vast array of software tools available to help you do your job. Traditionally, a UNIX tool does only one thing, but does that one thing very well. For example, grep is very easy to use and can search vast amounts of data quickly. The find tool can find a particular file or files based on all kinds of criteria. It's pretty easy to string these tools together to build even more powerful tools, such as a tool that finds all of the .log files in the /home directory and searches each one for a particular entry. This erector-set mentality allows UNIX system administrators to seem to always have the right tool for the job.
Cron traditionally has been considered another such a tool for job scheduling, but is it enough? This webinar considers that very question. The first part builds on a previous Geek Guide, Beyond Cron, and briefly describes how to know when it might be time to consider upgrading your job scheduling infrastructure. The second part presents an actual planning and implementation framework.
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