TY - GEN
T1 - Acceleration of analysis processing on decentralized performance profiling system using virtual machines
AU - Yamamoto, Masao
AU - Nakashima, Kohta
AU - Yamauchi, Toshihiro
AU - Nagoya, Akira
AU - Taniguchi, Hideo
PY - 2018/12/26
Y1 - 2018/12/26
N2 - To detect the performance anomaly of a computer, as a structure for continuous performance profiling, decentralization of the performance profiling system using virtual machines has been proposed. Moreover, there have already been evaluation results reported regarding overhead, including data storing, and data sampling stall time. On the other hand, for continuous performance profiling, the continuous processing of performance profiling is needed, including not only data sampling and data storing but also analysis processing. Therefore, first, this paper describes a relationship condition among data sampling time, data storing time, and analysis processing time as the necessary condition for continuous performance profiling on a decentralized performance profiling system. Second, in order to satisfy the relationship condition, we propose a concurrent operation technique as the acceleration method of analysis processing for a decentralized performance profiling system. Finally, this paper presents quantitative evaluations of the proposed method, including the case of a multi-VMM environment.
AB - To detect the performance anomaly of a computer, as a structure for continuous performance profiling, decentralization of the performance profiling system using virtual machines has been proposed. Moreover, there have already been evaluation results reported regarding overhead, including data storing, and data sampling stall time. On the other hand, for continuous performance profiling, the continuous processing of performance profiling is needed, including not only data sampling and data storing but also analysis processing. Therefore, first, this paper describes a relationship condition among data sampling time, data storing time, and analysis processing time as the necessary condition for continuous performance profiling on a decentralized performance profiling system. Second, in order to satisfy the relationship condition, we propose a concurrent operation technique as the acceleration method of analysis processing for a decentralized performance profiling system. Finally, this paper presents quantitative evaluations of the proposed method, including the case of a multi-VMM environment.
KW - Analysis Processing
KW - Concurrent Operation
KW - Decentralization
KW - Performance Profiling
KW - Virtual Machine
UR - http://www.scopus.com/inward/record.url?scp=85061454245&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061454245&partnerID=8YFLogxK
U2 - 10.1109/CANDARW.2018.00035
DO - 10.1109/CANDARW.2018.00035
M3 - Conference contribution
AN - SCOPUS:85061454245
T3 - Proceedings - 2018 6th International Symposium on Computing and Networking Workshops, CANDARW 2018
SP - 152
EP - 158
BT - Proceedings - 2018 6th International Symposium on Computing and Networking Workshops, CANDARW 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Symposium on Computing and Networking Workshops, CANDARW 2018
Y2 - 27 November 2018 through 30 November 2018
ER -