Revision: 19891
          http://sourceforge.net/p/gate/code/19891
Author:   adamfunk
Date:     2016-12-22 11:40:42 +0000 (Thu, 22 Dec 2016)
Log Message:
-----------
minor corrections

Modified Paths:
--------------
    userguide/trunk/cloud.tex

Modified: userguide/trunk/cloud.tex
===================================================================
--- userguide/trunk/cloud.tex   2016-12-22 02:22:31 UTC (rev 19890)
+++ userguide/trunk/cloud.tex   2016-12-22 11:40:42 UTC (rev 19891)
@@ -27,32 +27,31 @@
 
 \begin{itemize}
 \item {\bf zero fixed costs}: you don't buy software licences or server 
hardware, just
-  pay for the compute time that you use
+  pay for the compute time that you use.
 \item {\bf near zero startup time}: in a matter of minutes you can specify, 
provision
-  and deploy the type of computation that used to take months of planning
-\item {\bf easy in, easy out}: if you try it and don't like it, go elsewhere! 
you can
-  even take the software with you, it's all open source
+  and deploy the type of computation that used to take months of planning.
+\item {\bf easy in, easy out}: if you try it and don't like it, go elsewhere! 
You can
+  even take the software with you; it's all open-source.
 \item {\bf someone else takes the admin load}:
   - \htlink{http://gate.ac.uk/}{the GATE team} from the 
     \htlink{http://www.shef.ac.uk/}{University of Sheffield} make sure you're 
running the best of breed
-    technology for text, search and semantics
+    technology for text, search and semantics.
 \item cloud providers' data center managers (we use 
     \htlink{http://aws.amazon.com/}{Amazon Inc.}) make sure the hardware and 
operating platform for your work
-    is scaleable, reliable and cheap
+    is scaleable, reliable and cheap.
 \end{itemize}
 
 \htlink{http://gate.ac.uk}{GATE} is (and always will be) free, but machine 
time,
-training, dedicated support and bespoke development is not. Using GATECloud
+training, dedicated support and bespoke development is not. Using GATE Cloud
 you can rent cloud time to process large batches of documents on vast server
 farms, or academic clusters. You can push a terabyte of annotated data into an
 index server and replicate the data across the world. Or just purchase
 training services and support for the various tools in the
 \htlink{http://gate.ac.uk/family/}{GATE family}.
-
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \sect[sec:family:cloud-services]{GATE Cloud services: an overview}
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
+%
 GATE Cloud offers several types of services:
 \begin{itemize}
 \item Pre-packaged annotation pipelines such as ANNIE or TwitIE.  Individual
@@ -72,17 +71,15 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \sect[sec:family:cloud-competitors]{Comparison with other systems}
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
 There are several other text-analysis-as-a-service systems out there 
 that do some of what we do. Here are some differences:
-
+%
 \begin{itemize}
-\item We're the only {\bf open source} solution.
+\item We're the only {\bf open-source} solution.
 \item We're the only {\bf customisable solution} we support a
-  bring-your-own-annotator option --
-  a GATE pipeline -- as well as pre-packaged entity annotation services
-  like other systems.
-\item We're the only {\bf end-to-end full lifecycle} solution. We don't just do
+  bring-your-own-annotator option -- a GATE pipeline -- as well as pre-packaged
+  entity annotation services like other systems.
+\item We're the only {\bf end-to-end full-lifecycle} solution. We don't just do
   entity extraction -- we do data preparation, inter-annotator agreement,
   quality assurance and control, data visualisation, indexing and search of
   full text/annotation graph/ontology/instance store, etc. etc. etc.
@@ -95,7 +92,7 @@
 \item {\bf Speed}: other systems price per document (we price on processing 
time) --
   this makes it impossible to compare like with like (do you really want to
   compare the processing of individual tweets against 200 page technical
-  reports?!). GATECloud is also {\bf heavily optimised for high volumes} -- if 
you
+  reports?!). GATE Cloud is also {\bf heavily optimised for high volumes} -- 
if you
   want to do low volumes, you can do them on your netbook.
 \item {\bf Community}: we've been here for more than 15 years, and our 
community of
   {\bf developers, users, third party suppliers} and so on is second to none.
@@ -120,15 +117,15 @@
 Once registered and logged in you can browse through the shop 
 and decided on the services you wish to purchase.
 
-The shop does not handle money but works instead with vouchers bought from the 
+The shop does not handle money but works instead with vouchers bought from the
 
\htlink{http://onlineshop.shef.ac.uk/browse/product.asp?catid=25\&modid=1\&compid=1}
-{University of Sheffield's on-line shop}. Vouchers are available in multiples 
of \textsterling 5, 
-the amount you need to purchase will depend upon the services you wish to use. 
-Once you are ready to buy time on GATE Cloud create an account with the 
-University shop and then buy the appropriate amount credit vouchers. Be sure 
to use 
-the same email address when buying vouchers as when registering for a GATE 
Cloud 
-account so that credit you purchase can automatically be added to your GATE 
Cloud 
-account.
+{University of Sheffield's on-line shop}. Vouchers are available in multiples 
of
+\textsterling 5; the amount you need to purchase will depend upon the services
+you wish to use.  Once you are ready to buy time on GATE Cloud create an 
account
+with the University shop and then buy the appropriate amount credit vouchers. 
Be
+sure to use the same email address when buying vouchers as when registering for
+a GATE Cloud account so that credit you purchase can automatically be added to
+your GATE Cloud account.
 
 Once you have enough credit you can click through to the checkout where you 
can review 
 your basket before finalizing your order.
@@ -167,12 +164,11 @@
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 GATE Cloud annotation jobs provide a way to quickly process large numbers of
 documents using a GATE application, with the results exported to files in GATE
-XML, JSON or \htlink{http://www.xces.org}{XCES} format and/or sent to a
-\htlink{http://gate.ac.uk/family/mimir.html}{Mimir} server for indexing.  
-Annotation jobs are
-optimized for the processing of large batches of documents (tens of thousands
-or more) rather than processing a small number of documents on the fly (GATE 
-Developer is best suited for the latter).
+XML, JSON, or \htlink{http://www.xces.org}{XCES} format, and/or sent to a
+\htlink{http://gate.ac.uk/family/mimir.html}{M\'{i}mir} server for indexing.
+Annotation jobs are optimized for the processing of large batches of documents
+(tens of thousands or more) rather than processing a small number of documents
+on the fly (GATE Developer is best suited for the latter).
 
 To submit an annotation job you first choose which GATE application you want to
 run.  GATE Cloud provides some standard pre-packaged applications 
@@ -312,13 +308,13 @@
 
 \subsubsection{Hardware and software}
 
-GATE Cloud annotation jobs are executed on virtual 64-bit (x86\_64) Linux
-servers in the cloud, specifically Ubuntu 14.10 (Trusty Tahr).  The GATE
+GATE Cloud annotation jobs are executed on virtual 64-bit (x86\_64) GNU/Linux
+servers in the cloud, specifically Ubuntu 14.04 LTS (Trusty Tahr).  The GATE
 application is run using the open-source GCP tool\footnote{Source code is
-available in the subversion repository at\\
-{\tt http://svn.code.sf.net/p/gate/code/gcp/trunk}} on Oracle Java 8
-(currently 1.8.0\_71).  The current offering uses the Amazon EC2 cloud, and 
runs jobs on
-their 'm3.xlarge' machines which provide 4 virtual CPU cores and 15GB of
+  available in the subversion repository at\\
+  {\tt http://svn.code.sf.net/p/gate/code/gcp/trunk}} on Oracle Java 8
+(currently 1.8.0\_71).  The current offering uses the Amazon EC2 cloud, and 
runs
+jobs on their 'm3.xlarge' machines which provide 4 virtual CPU cores and 15GB 
of
 memory, of which 13GB is available to the GCP process.
 
 The jobs are run using GATE Embedded version 8.3, and your application must use

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