# HG changeset patch # User Nobuyasu Oshiro # Date 1392731651 -32400 # Node ID 7a4d101fd4521ee9c4b1e7758dab69134c171136 # Parent ac4ffd6c59de64075ef53c93755ef2d58cb9b857 Modified abstract diff -r ac4ffd6c59de -r 7a4d101fd452 paper/abstract_eng.tex --- a/paper/abstract_eng.tex Tue Feb 18 17:52:54 2014 +0900 +++ b/paper/abstract_eng.tex Tue Feb 18 22:54:11 2014 +0900 @@ -1,23 +1,18 @@ \begin{abstract_eng} -Smartphone and tablet pc are widely used, thereby users of the Web services is increasing. -It has caused the webserver is down. -Therefore, scalability is important software factor today. +Users of the Wev services is increasing by the diffusion of smartphone and tablet pc. +However it caused the webserver down. +Therefore, scalability is the important software factor for Web services today. Scalability in distributed system is able to increase performance linearly when just added new node to system. -In order to make provide scalability to Web services, database must have scalability. +In order to provide scalability to Web services, database must have scalability. -We are designing and developing a database Jungle for study of scalable database. -It is use non-destructive tree structure. -Non-destructive tree structure is not the destruction of data. -Editing of data is done creating by new tree. +For study of scalable database, we are designing and developing a database Jungle which has non-destructive tree structure. +Non-destructive tree structure dose not destruct the data when data editing by creating new tree. -Jungle was designed as a distributed database. -But data distribution and persistent has not yet been implemented in the Jungle. - -In this paper, we develope persistent and distributed database on jungle. -Distributed data on Jungle is developing using parallel distributed framework Alice. -We implemented distributed on Jungle and confirmed with our cluster system that data is distributed between the server node. +In this paper, we implemented persistent and distributed database on jungle. +Distributed data on Jungle is developed by using Alice which is parallel distributed framework. +We confirm the data distribution between the server nodes on Jungle with our cluster system. Also, we developed simple bulletinboard system with Jungle and key-value store database Cassandra. -We compared Jungle and Cassandra using simple bulletinboard. -As a result, we got better performance then Cassandra. +We compared response time of Jungle and Cassandra using simple bulletinboard. +As a result, Jungle got better performance than Cassandra. \end{abstract_eng} diff -r ac4ffd6c59de -r 7a4d101fd452 paper/gnuplot/distributed/distributed_read_bench.pdf Binary file paper/gnuplot/distributed/distributed_read_bench.pdf has changed diff -r ac4ffd6c59de -r 7a4d101fd452 paper/gnuplot/distributed/distributed_write_bench.pdf Binary file paper/gnuplot/distributed/distributed_write_bench.pdf has changed diff -r ac4ffd6c59de -r 7a4d101fd452 paper/master_paper.pdf Binary file paper/master_paper.pdf has changed