comparison paper/abstract_eng.tex @ 65:27d920592c13

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author Nobuyasu Oshiro <dimolto@cr.ie.u-ryukyu.ac.jp>
date Sat, 01 Feb 2014 17:08:52 +0900
parents 67880a2ca650
children 108b6336395d
comparison
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64:c06ec0269eba 65:27d920592c13
1 \begin{abstract_eng} 1 \begin{abstract_eng}
2 Smartphone and tablet pc are widely used, thereby Web services that handle large amounts of data are emerging. 2 Smartphone and tablet pc are widely used, thereby Web services that handle large amounts of data are emerging.
3 It has caused the webserver is down. 3 It has caused the webserver is down.
4 Therefore, scalability is important software factor today. 4 Therefore, scalability is important software factor today.
5 Scalability in distributed system is able to increase performance linearly when just added new node to system. 5 Scalability in distributed system is able to increase performance linearly when just added new node to system.
6 In order to make provide scalability, we considered design of architecture. 6 In order to make provide scalability to Web services, database must have scalability.
7 7
8 We are developing a database Jungle. 8 We are designing and developing a database Jungle for study of scalable database.
9 It is use non-destructive tree structure. 9 It is use non-destructive tree structure.
10 Non-destructive tree structure is not the destruction of data. 10 Non-destructive tree structure is not the destruction of data.
11 Editing of data is done creating by new tree. 11 Editing of data is done creating by new tree.
12
12 Jungle was designed as a distributed database. 13 Jungle was designed as a distributed database.
13 But data distribution and persistent has not yet been implemented in the Jungle. 14 But data distribution and persistent has not yet been implemented in the Jungle.
14 15
15 In this paper, we develop distributed database on jungle for pursuit architecture with scalability. 16 In this paper, we develope persistent and distributed database on jungle.
16 Distributed data on Jungle is developing using parallel distributed framework Alice. 17 Distributed data on Jungle is developing using parallel distributed framework Alice.
17 As a result, we confirmed that data is distributed between the server node. 18 We implemented distributed on Jungle and confirmed with our cluster system that data is distributed between the server node.
19 Also, we developed simple bulletinboard system with Jungle and key-value store database Cassandra.
20 We compared Jungle and Cassandra using simple bulletinboard.
21 As a result, we got better performance then Cassandra.
18 22
19 \end{abstract_eng} 23 \end{abstract_eng}