From cc4b04b216320786bdcb949e5dfdaad5e4b73f5a Mon Sep 17 00:00:00 2001
From: Matei Alexandru Zaharia <matei@apache.org>
Date: Thu, 10 Oct 2013 04:50:39 +0000
Subject: Update research paper links

---
 research.md | 11 ++++++-----
 1 file changed, 6 insertions(+), 5 deletions(-)

(limited to 'research.md')

diff --git a/research.md b/research.md
index 96c9a24ac..858acbc31 100644
--- a/research.md
+++ b/research.md
@@ -9,7 +9,7 @@ navigation:
 <h2>Spark Research</h2>
 
 <p>
-Spark started as a research project at UC Berkeley in the <a href="https://amplab.cs.berkeley.edu">AMPLab</a>, which focuses on big data analytics.
+Apache Spark started as a research project at UC Berkeley in the <a href="https://amplab.cs.berkeley.edu">AMPLab</a>, which focuses on big data analytics.
 </p>
 
 <p class="noskip">
@@ -19,7 +19,7 @@ Our goal was to design a programming model that supports a much wider class of a
 <ul>
   <li><em>Iterative algorithms</em>, including many machine learning algorithms and graph algorithms like PageRank.</li>
   <li><em>Interactive data mining</em>, where a user would like to load data into RAM across a cluster and query it repeatedly.</li>
-  <li><em>OLAP reports</em> that run multiple aggregation queries on the same data.</li>
+  <li><em>Streaming applications</em> that maintain aggregate state over time.</li>
 </ul>
 
 <p>
@@ -34,7 +34,10 @@ Spark offers an abstraction called <a href="http://www.cs.berkeley.edu/~matei/pa
 
 <ul>
   <li>
-    <a href="http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-214.pdf">Shark: SQL and Rich Analytics at Scale</a>. Reynold Xin, Joshua Rosen, Matei Zaharia, Michael J. Franklin, Scott Shenker, Ion Stoica. <em>Technical Report UCB/EECS-2012-214</em>. November 2012.
+    <a href="http://www.cs.berkeley.edu/~matei/papers/2013/sosp_spark_streaming.pdf">Discretized Streams: Fault-Tolerant Streaming Computation at Scale</a>. Matei Zaharia, Tathagata Das, Haoyuan Li, Timothy Hunter, Scott Shenker, Ion Stoica. <em>SOSP 2013</em>. November 2013.
+  </li>
+  <li>
+    <a href="http://www.cs.berkeley.edu/~matei/papers/2013/sigmod_shark.pdf">Shark: SQL and Rich Analytics at Scale</a>. Reynold Xin, Joshua Rosen, Matei Zaharia, Michael J. Franklin, Scott Shenker, Ion Stoica. <em>SIGMOD 2013</em>. June 2013.
   </li>
   <li>
     <a href="http://www.cs.berkeley.edu/~matei/papers/2012/hotcloud_spark_streaming.pdf">Discretized Streams: An Efficient and Fault-Tolerant Model for Stream Processing on Large Clusters</a>.  Matei Zaharia, Tathagata Das, Haoyuan Li, Scott Shenker, Ion Stoica. <em>HotCloud 2012</em>. June 2012.
@@ -45,8 +48,6 @@ Spark offers an abstraction called <a href="http://www.cs.berkeley.edu/~matei/pa
   <li>
     <a href="http://www.cs.berkeley.edu/~matei/papers/2012/nsdi_spark.pdf">Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing</a>.  Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael J. Franklin, Scott Shenker, Ion Stoica. <em>NSDI 2012</em>. April 2012. <b>Best Paper Award</b> and <b>Honorable Mention for Community Award</b>.
   </li>
-  <li>
-    <a href="http://www.cs.berkeley.edu/~matei/papers/2011/tr_spark.pdf">Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing</a>.  Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael J. Franklin, Scott Shenker, Ion Stoica. <em>Technical Report UCB/EECS-2011-82</em>.  July 2011.</li>
   <li>
     <a href="http://www.cs.berkeley.edu/~matei/papers/2010/hotcloud_spark.pdf">Spark: Cluster Computing with Working Sets</a>. Matei Zaharia, Mosharaf Chowdhury, Michael J. Franklin, Scott Shenker, Ion Stoica. <em>HotCloud 2010</em>. June 2010.
   </li>
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