<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
  <title>how to eat food</title>
  <id>http://www.howtoeatfood.com/tag/scale</id>
  <updated>2024-06-18T09:33:36-04:00</updated>
  <author>
    <name>how to eat food</name>
  </author>
  <entry>
    <title>What happens to latency if service time is cut in half | Hacker News</title>
    <link rel="alternate" href="https://news.ycombinator.com/item?id=40714544"/>
    <id>8f94acabb33e08d631d43b0d2329b384</id>
    <published>2024-06-18T09:33:36-04:00</published>
    <updated>2024-06-18T09:33:36-04:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">What happens to latency if service time is cut in half | Hacker News</summary>
    <content type="html"></content>
  </entry>
  <entry>
    <title>Queueing theory: an introduction for software development</title>
    <link rel="alternate" href="https://github.com/joelparkerhenderson/queueing-theory"/>
    <id>6ea9a96ea2944d585e22e3e06c6fbc10</id>
    <published>2024-06-18T09:30:28-04:00</published>
    <updated>2024-06-18T09:30:28-04:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">Queueing theory: an introduction for software development</summary>
    <content type="html"></content>
  </entry>
  <entry>
    <title>Random Slicing: Efficient and Scalable Data Placement for Large-Scale Storage Systems</title>
    <link rel="alternate" href="https://www.ssrc.ucsc.edu/media/pubs/8be9d858b294d9bf2a6a4ecdf092d9ba8813fbc4.pdf"/>
    <id>f00c309f6fcad15936c959ead840e532</id>
    <published>2022-04-26T11:25:28-04:00</published>
    <updated>2022-04-26T11:25:28-04:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">Random Slicing: Efficient and Scalable Data Placement for Large-Scale Storage Systems</summary>
    <content type="html"></content>
  </entry>
  <entry>
    <title>How Discord Stores Billions of Messages | by Stanislav Vishnevskiy | Discord Blog</title>
    <link rel="alternate" href="https://blog.discord.com/how-discord-stores-billions-of-messages-7fa6ec7ee4c7"/>
    <id>ae1b97bf33ba1f8e4cc28aa944e24094</id>
    <published>2021-08-24T15:01:44-04:00</published>
    <updated>2021-08-24T15:01:44-04:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">How Discord Stores Billions of Messages | by Stanislav Vishnevskiy | Discord Blog</summary>
    <content type="html"></content>
  </entry>
  <entry>
    <title>High Scalability - High Scalability</title>
    <link rel="alternate" href="http://highscalability.com/"/>
    <id>1cdc292df47e50ef5f260ca641de72c2</id>
    <published>2014-02-28T12:45:25-05:00</published>
    <updated>2014-02-28T12:45:25-05:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">High Scalability - High Scalability</summary>
    <content type="html"></content>
  </entry>
  <entry>
    <title>On Designing and Deploying Internet-Scale Services</title>
    <link rel="alternate" href="http://www.usenix.org/event/lisa07/tech/full_papers/hamilton/hamilton_html/"/>
    <id>efc0ba816f1b7b496ddf851fcbcdda19</id>
    <published>2011-08-01T19:32:23-04:00</published>
    <updated>2011-08-01T19:32:23-04:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">On Designing and Deploying Internet-Scale Services</summary>
    <content type="html"/>
  </entry>
  <entry>
    <title>High Scalability - High Scalability - 7 Lessons Learned While Building Reddit to 270 Million Page Views a Month</title>
    <link rel="alternate" href="http://highscalability.com/blog/2010/5/17/7-lessons-learned-while-building-reddit-to-270-million-page.html"/>
    <id>5544a3ede34babdc6b80bc2d2de60573</id>
    <published>2011-01-16T11:06:01-05:00</published>
    <updated>2011-01-16T11:06:01-05:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">High Scalability - High Scalability - 7 Lessons Learned While Building Reddit to 270 Million Page Views a Month</summary>
    <content type="html"/>
  </entry>
  <entry>
    <title>Brewer's CAP Theorem</title>
    <link rel="alternate" href="http://www.julianbrowne.com/article/viewer/brewers-cap-theorem"/>
    <id>8a249545e08b77329d43ec72cc4079ae</id>
    <published>2010-03-14T14:43:37-04:00</published>
    <updated>2010-03-14T14:43:37-04:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">Brewer's CAP Theorem</summary>
    <content type="html"/>
  </entry>
  <entry>
    <title>On Outsourcing «  Vijay Gill's Blog</title>
    <link rel="alternate" href="http://vijaygill.wordpress.com/2009/05/07/on-outsourcing/"/>
    <id>734c6b407d3327b2a2b6b121c2f6b53f</id>
    <published>2010-02-02T16:23:48-05:00</published>
    <updated>2010-02-02T16:23:48-05:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">On Outsourcing «  Vijay Gill's Blog</summary>
    <content type="html">Ben Black said it much better than I could: “in summary, and not restricted to networking, if scale is central to your business, don’t outsource it.”</content>
  </entry>
  <entry>
    <title>Facebook | Needle in a haystack: efficient storage of billions of photos</title>
    <link rel="alternate" href="http://www.facebook.com/note.php?note_id=76191543919&amp;ref=mf"/>
    <id>52549233ca2bc14f5cac5a54f6791c09</id>
    <published>2009-10-03T15:00:35-04:00</published>
    <updated>2009-10-03T15:00:35-04:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">Facebook | Needle in a haystack: efficient storage of billions of photos</summary>
    <content type="html"/>
  </entry>
  <entry>
    <title>Perspectives - Facebook: Needle in a Haystack: Efficient Storage of Billions of Photos</title>
    <link rel="alternate" href="http://perspectives.mvdirona.com/CommentView,guid,67ceda4a-8a58-4e99-b180-e42245b7ee9c.aspx"/>
    <id>b9e6b32d06623bf830e069ba8089cb1f</id>
    <published>2009-10-03T15:00:02-04:00</published>
    <updated>2009-10-03T15:00:02-04:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">Perspectives - Facebook: Needle in a Haystack: Efficient Storage of Billions of Photos</summary>
    <content type="html"/>
  </entry>
  <entry>
    <title>A practical scalable distributed B-tree</title>
    <link rel="alternate" href="http://www.hpl.hp.com/techreports/2007/HPL-2007-193.pdf"/>
    <id>41b9ee2d840ad00f2256bbfbfdbb7553</id>
    <published>2009-09-16T23:07:47-04:00</published>
    <updated>2009-09-16T23:07:47-04:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">A practical scalable distributed B-tree</summary>
    <content type="html"/>
  </entry>
  <entry>
    <title>Bigdata</title>
    <link rel="alternate" href="http://www.systap.com/bigdata.htm"/>
    <id>d4fb35bc7e0be93d2f964eaabc180a87</id>
    <published>2009-04-26T13:19:54-04:00</published>
    <updated>2009-04-26T13:19:54-04:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">Bigdata</summary>
    <content type="html">Bigdata was designed from the ground up as a distributed database architecture optimized for very high aggregate IO rates</content>
  </entry>
  <entry>
    <title>Amazon's Dynamo - All Things Distributed</title>
    <link rel="alternate" href="http://www.allthingsdistributed.com/2007/10/amazons_dynamo.html"/>
    <id>e34d323d0008e00fa4848330fcccb488</id>
    <published>2009-03-08T10:56:22-04:00</published>
    <updated>2009-03-08T10:56:22-04:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">Amazon's Dynamo - All Things Distributed</summary>
    <content type="html">This paper described Dynamo, a highly available and scalable data store, used for storing state of a number of core services of Amazon.com’s e-commerce platform</content>
  </entry>
  <entry>
    <title>Eventually Consistent - Revisited - All Things Distributed</title>
    <link rel="alternate" href="http://www.allthingsdistributed.com/2008/12/eventually_consistent.html"/>
    <id>8737cb5473f142f185d6a5b79c88a0fa</id>
    <published>2009-03-07T11:43:06-05:00</published>
    <updated>2009-03-07T11:43:06-05:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">Eventually Consistent - Revisited - All Things Distributed</summary>
    <content type="html">Building reliable distributed systems at a worldwide scale demands trade-offs between consistency and availability.</content>
  </entry>
  <entry>
    <title>Anti-RDBMS: A list of distributed key-value stores | Richard Jones, Esq.</title>
    <link rel="alternate" href="http://www.metabrew.com/article/anti-rdbms-a-list-of-distributed-key-value-stores/"/>
    <id>0e02ac501e456169ae41e26a559c040e</id>
    <published>2009-03-03T10:26:04-05:00</published>
    <updated>2009-03-03T10:26:04-05:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">Anti-RDBMS: A list of distributed key-value stores | Richard Jones, Esq.</summary>
    <content type="html"/>
  </entry>
  <entry>
    <title>On Why I Don't Like Auto-Scaling in the Cloud - O'Reilly Broadcast</title>
    <link rel="alternate" href="http://broadcast.oreilly.com/2008/12/why-i-dont-like-cloud-auto-scaling.html"/>
    <id>6e140a4357b3a9c21e45755d68a6422f</id>
    <published>2008-12-07T10:05:52-05:00</published>
    <updated>2008-12-07T10:05:52-05:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">On Why I Don't Like Auto-Scaling in the Cloud - O'Reilly Broadcast</summary>
    <content type="html"/>
  </entry>
  <entry>
    <title>Greenplum MapReduce - the Ubiquity of SQL with the Programming Model of MapReduce</title>
    <link rel="alternate" href="http://www.greenplum.com/resources/mapreduce/"/>
    <id>980a2ab0bff3cd87ed3332ba9066ff62</id>
    <published>2008-08-27T09:23:15-04:00</published>
    <updated>2008-08-27T09:23:15-04:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">Greenplum MapReduce - the Ubiquity of SQL with the Programming Model of MapReduce</summary>
    <content type="html"/>
  </entry>
  <entry>
    <title>Handling Flash Crowds from your Garage</title>
    <link rel="alternate" href="http://www.usenix.org/events/usenix08/tech/full_papers/elson/elson_html/index.html"/>
    <id>41862c4e960954c5f2df5683b3e6088d</id>
    <published>2008-07-08T09:28:05-04:00</published>
    <updated>2008-07-08T09:28:05-04:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">Handling Flash Crowds from your Garage</summary>
    <content type="html">We analyze the design space of building a load-balanced system in the context of garage innovation</content>
  </entry>
  <entry>
    <title>Violin Scalable Memory - Home</title>
    <link rel="alternate" href="http://www.violin-memory.com/"/>
    <id>c3544e9a55f2bcd08d105f04d6ab3e99</id>
    <published>2008-04-22T20:04:18-04:00</published>
    <updated>2008-04-22T20:04:18-04:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">Violin Scalable Memory - Home</summary>
    <content type="html">The Violin 1010 is the industry's first Memory Appliance, capable of supporting both Scalable Memory (DRAM) or High Performance Storage (NAND Flash) or a mixture of the two. The first release of the Violin 1010 supports 504GB of DRAM in a 2U chassis. 

</content>
  </entry>
  <entry>
    <title>Scalability of web applications - slideshows</title>
    <link rel="alternate" href="http://www.slideshare.net/group/webapps-scalability/slideshows"/>
    <id>5d53daaa579925cea71204a90fdc342e</id>
    <published>2008-03-08T14:17:01-05:00</published>
    <updated>2008-03-08T14:17:01-05:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">Scalability of web applications - slideshows</summary>
    <content type="html"/>
  </entry>
  <entry>
    <title>Hypertable: An Open Source, High Performance, Scalable Database</title>
    <link rel="alternate" href="http://hypertable.org/"/>
    <id>dfb7e0be515b2695d45da6736d17f01d</id>
    <published>2008-02-09T10:57:52-05:00</published>
    <updated>2008-02-09T10:57:52-05:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">Hypertable: An Open Source, High Performance, Scalable Database</summary>
    <content type="html"/>
  </entry>
  <entry>
    <title>A Massively Multithreaded Packet Processor (NP2: Workshop on Network Processors)</title>
    <link rel="alternate" href="http://www.zytek.com/~melvin/melvin-np2a.pdf"/>
    <id>f7e3917d10daf2239afdb27ec1133ffd</id>
    <published>2008-02-03T15:44:01-05:00</published>
    <updated>2008-02-03T15:44:01-05:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">A Massively Multithreaded Packet Processor (NP2: Workshop on Network Processors)</summary>
    <content type="html">This paper introduces a new packet processor designed for stateful networking applications.
We have extensively studied a number of applications in terms of their requirements for MIPS and REAPS.
</content>
  </entry>
  <entry>
    <title>Welcome to Hadoop!</title>
    <link rel="alternate" href="http://hadoop.apache.org/core/"/>
    <id>1b905455d3337d7fc5d75d0be973d50f</id>
    <published>2008-02-02T13:05:01-05:00</published>
    <updated>2008-02-02T13:05:01-05:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">Welcome to Hadoop!</summary>
    <content type="html">Hadoop is a software platform that lets one easily write and run applications that process vast amounts of data.
Hadoop implements MapReduce, using the Hadoop Distributed File System.
</content>
  </entry>
  <entry>
    <title>Wide Awake Developers: Architecting for Latency</title>
    <link rel="alternate" href="http://www.michaelnygard.com/blog/2007/11/architecting_for_latency.html"/>
    <id>1848d8c9583fffa023cbb6109be36b09</id>
    <published>2007-11-14T23:28:11-05:00</published>
    <updated>2007-11-14T23:28:11-05:00</updated>
    <author>
      <name>jaw</name>
    </author>
    <summary type="html">Wide Awake Developers: Architecting for Latency</summary>
    <content type="html"/>
  </entry>
</feed>
