Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Monitoring path discovery for supporting indirect monitoring of cloud services
AU - Zhang, H.
AU - Manzoor, S.
AU - Suri, Neeraj
AU - J., Li
AU - A., Chandra
AU - T., Guo
AU - Y., Cai
PY - 2018/4/17
Y1 - 2018/4/17
N2 - Cloud monitoring is an established support mechanism for securing Cloud services. Over the last few years, various Cloud monitoring mechanisms have been proposed with different level of monitoring efficacy. To achieve effective monitoring, the monitoring mechanism is required to address the basic challenge that the information of the target-to-monitor may be inaccessible due to (i) access controls, (ii) privacy protection, or (iii) technical difficulties. Therefore, the indirect monitoring mechanism is particularly proposed for addressing the challenge. Specifically, the indirect mechanism makes inferences about the inaccessible information of monitoring targets with the help of the 'monitoring path' that contains a special set of accessible monitoring data underpinning the inference task. However, the process to effectively discover the monitoring path is an open issue. To address this problem, we present our preliminary studies in this paper. Firstly, we review existing work and reveal the limitations for discovering monitoring paths. Secondly, we analyze real cases to provide insights for designing monitoring paths. Finally, we propose a framework and planned research tasks for developing a novel monitoring path discovery mechanism that facilitates performing indirect Cloud monitoring as the expected contribution of our research. © 2018 IEEE.
AB - Cloud monitoring is an established support mechanism for securing Cloud services. Over the last few years, various Cloud monitoring mechanisms have been proposed with different level of monitoring efficacy. To achieve effective monitoring, the monitoring mechanism is required to address the basic challenge that the information of the target-to-monitor may be inaccessible due to (i) access controls, (ii) privacy protection, or (iii) technical difficulties. Therefore, the indirect monitoring mechanism is particularly proposed for addressing the challenge. Specifically, the indirect mechanism makes inferences about the inaccessible information of monitoring targets with the help of the 'monitoring path' that contains a special set of accessible monitoring data underpinning the inference task. However, the process to effectively discover the monitoring path is an open issue. To address this problem, we present our preliminary studies in this paper. Firstly, we review existing work and reveal the limitations for discovering monitoring paths. Secondly, we analyze real cases to provide insights for designing monitoring paths. Finally, we propose a framework and planned research tasks for developing a novel monitoring path discovery mechanism that facilitates performing indirect Cloud monitoring as the expected contribution of our research. © 2018 IEEE.
KW - Cloud
KW - Indirect monitoring
KW - Monitoring
KW - Path discovery
KW - Clouds
KW - Distributed database systems
KW - Web services
KW - Cloud monitoring
KW - Cloud services
KW - Monitoring mechanisms
KW - Privacy protection
KW - Real case
KW - Support mechanism
KW - Technical difficulties
U2 - 10.1109/IC2E.2018.00055
DO - 10.1109/IC2E.2018.00055
M3 - Conference contribution/Paper
SN - 9781538650097
SP - 274
EP - 277
BT - 2018 IEEE International Conference on Cloud Engineering (IC2E)
PB - IEEE
ER -