From 40bff24fc2e2da57f382e4f49a5ffb7c826bbcfb Mon Sep 17 00:00:00 2001
From: Douglas Rumbaugh <dbr4@psu.edu>
Date: Tue, 13 May 2025 17:29:40 -0400
Subject: Updates

---
 chapters/sigmod23/extensions.tex | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'chapters/sigmod23/extensions.tex')

diff --git a/chapters/sigmod23/extensions.tex b/chapters/sigmod23/extensions.tex
index 06d55a5..3a3cba3 100644
--- a/chapters/sigmod23/extensions.tex
+++ b/chapters/sigmod23/extensions.tex
@@ -9,7 +9,7 @@ concurrency and external data structures.
 \subsection{External Data Structures}
 \label{ssec:ext-external}
 
-Our dynamization techniques can easily accomodate external data structures
+Our dynamization techniques can easily accommodate external data structures
 as well as in-memory ones. To demonstrate this, we have implemented
 a dynamized version of an external ISAM tree for use in answering IRS
 queries. The mutable buffer remains an unsorted array in memory, however
@@ -46,7 +46,7 @@ file or a Spark RDD, and a centralized control node can manage the
 mutable buffer. Flushing this buffer would create a new file/RDD, and
 reconstructions could likewise be performed by creating new immutable
 structures through the merging of existing ones, using the same basic
-scheme as has already been discussed in this chapter.  Using thes tools,
+scheme as has already been discussed in this chapter.  Using these tools,
 SSIs over datasets that exceed the capacity of a single node could be
 supported. Such distributed SSIs do exist, such as the RDD-based sampling
 structure using in XDB~\cite{li19}.
-- 
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