TY - GEN
T1 - Providing persistence for sensor data streams by remote WAL
AU - Kawashima, Hideyuki
AU - Imai, Michita
AU - Anzai, Yuichiro
PY - 2006
Y1 - 2006
N2 - Rapidly changing environments such as robots, sensor networks, or medical services are emerging. To deal with them, DBMS should persist sensor data streams instantaneously. To achieve the purpose, data persisting process must be accelerated. Though write ahead logging (WAL) acceleration is essential for the purpose, only a few researches are conducted. To accelerate data persisting process, this paper proposes remote WAL with asynchronous checkpointing technique. Furthermore this paper designs and implements it. To evaluate the technique, this paper conducts experiments on an object relational DBMS called KRAFT. The result of experiments shows that remote WAL overwhelms performance disk based WAL. As for throughput evaluation, best policy shows about 12 times better performance compared with disk based WAL. As for logging time, the policy shows lower than 1000 micro seconds which is the period of motor data acquisition on conventional robots.
AB - Rapidly changing environments such as robots, sensor networks, or medical services are emerging. To deal with them, DBMS should persist sensor data streams instantaneously. To achieve the purpose, data persisting process must be accelerated. Though write ahead logging (WAL) acceleration is essential for the purpose, only a few researches are conducted. To accelerate data persisting process, this paper proposes remote WAL with asynchronous checkpointing technique. Furthermore this paper designs and implements it. To evaluate the technique, this paper conducts experiments on an object relational DBMS called KRAFT. The result of experiments shows that remote WAL overwhelms performance disk based WAL. As for throughput evaluation, best policy shows about 12 times better performance compared with disk based WAL. As for logging time, the policy shows lower than 1000 micro seconds which is the period of motor data acquisition on conventional robots.
UR - http://www.scopus.com/inward/record.url?scp=33751378718&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33751378718&partnerID=8YFLogxK
U2 - 10.1007/11823728_50
DO - 10.1007/11823728_50
M3 - Conference contribution
AN - SCOPUS:33751378718
SN - 3540377360
SN - 9783540377368
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 524
EP - 533
BT - Data Warehousing and Knowledge Discovery - 8th International Conference, DaWaK 2006, Proceedings
PB - Springer Verlag
T2 - 8th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2006
Y2 - 4 September 2006 through 8 September 2006
ER -