13548
Evolution of the Netflix API
Ben Christensen describes how the Netflix API evolved from a typical one-size-fits-all RESTful API designed to support public developers into a web service platform optimized to handle the diversity and variability of each device and user experience. The talk will also address the challenges involving operations, deployment, performance, fault-tolerance, and rate of innovation at massive scale.
netflix  video 
3 days ago
apenwarr/netselect
A parallelizing combination of ping/traceroute
tools  networking 
13 days ago
HCF: Soundtrack - SuperMusicVision
COMPLETE HALT and CATCH FIRE SOUNDTRACK
hacf  tv  music 
20 days ago
Passive TCP Performance Analysis
             In the last two decades the Internet has changed a lot in terms of its bandwidth, types of applications and number of users, however, what has not changed is the fact that TCP is still the most popular transport protocol, accounting for more than 80% of the Internet traffic. Given TCP's wide-spread usage, its performance fundamentally impacts the performance of Internet transfers. Packet losses are known to affect TCP performance by impacting two important aspects of TCP - reliable delivery and congestion control. However, what is not well understood is exactly how much they affect TCP performance. The extent to which losses affect TCP performance depends on how well TCP deals with these losses. Current analysis techniques for TCP lack the level of details or accuracy required to illuminate the above issues. To achieve the required level of details and accuracy, We have developed a new analysis tool and have used it to study two different interactions between TCP and losses -- (i) TCP's efficiency in detecting packet losses when they occur and (ii) TCP's efficiency in avoiding losses when possible. We describe both our methodology and analysis below.
net  tcp 
april 2014
Big Data Benchmark
Several analytic frameworks have been announced in the last year. Among them are inexpensive data-warehousing solutions based on traditional Massively Parallel Processor (MPP) architectures (Redshift), systems which impose MPP-like execution engines on top of Hadoop (Impala, HAWQ) and systems which optimize MapReduce to improve performance on analytical workloads (Shark, Stinger/Tez). This benchmark provides quantitative and qualitative comparisons of five systems. It is entirely hosted on EC2 and can be reproduced directly from your computer.
db 
april 2014
« earlier      
2006 2007 2008 2009 2010 2011 academia ai album algorithms america animals animation api apple apps architecture archive art article audio awesome batman beer bestof blog book books brain business children christianity cl cli cogsci comedy comics conference cooking crime criticism cs culture dance data db death del.icio.us design dessert dev diy documentary economics editors education election elisp emacs email eola ethics events experimental extensions filetype:jpg filetype:pdf film firefox flash florida food friends future gadget games gender git go gogk12 google grant_morrison hci health hiphop history humor ideas illustration image indie interesting interview java javascript journalism kids language latex lib library life linguistics linux lisp lists literature live magazine maps math media media:document media:image medicine metadata metal mobile money mozdev mp3 music news nlp nyc odd opinion orlando oss osx paper parenting parsing pdf people perl philosophy photo photography photos physics plt poetry politics presentation process productivity profile programming psychology publishing python radio rdf reading readinglist recipes ref reference religion research restaurants review satire scaling scheme science scifi search security sf shopping social society sports tech text theology theory tips toread trailer travel tutorial tv typography ucf ui unix usa via:dontsave via:kottke video viz web webapps webdev wiki windows wishlist writing xml youtube zymurgy

Copy this bookmark:



description:


tags: