TY - JOUR
T1 - JTangCMS
T2 - An efficient monitoring system for cloud platforms
AU - Lu, Xingjian
AU - Yin, Jianwei
AU - Xiong, Neal N.
AU - Deng, Shuiguang
AU - He, Gaoqi
AU - Yu, Huiqun
N1 - Publisher Copyright:
© 2016 Elsevier Inc.
PY - 2016/11/20
Y1 - 2016/11/20
N2 - Cloud computing has attracted increasing interest in industry and academia. However, due to the constantly expanding scale of cloud platforms, the monitoring of clouds encounters a number of critical challenges related to flexibility, scalability, efficiency, and performance. In this paper, we present JTang Cloud Monitoring System (JTangCMS), an efficient monitoring system for cloud platforms. Our contributions cover the collection, delivery, and processing of monitoring data. For data collection, a flexible and scalable agent is implemented with pluggable monitoring components to collect runtime information from different entities. For data delivery, an efficient and robust data dissemination framework is implemented to transmit the runtime information reliably with high throughput and low latency, based on the Data Distribution Service (DDS). For data processing, a cloud action platform is developed to support cloud management decision-making, based on complex event processing (CEP). Finally, detailed experimental evaluations show the feasibility and efficiency of JTangCMS.
AB - Cloud computing has attracted increasing interest in industry and academia. However, due to the constantly expanding scale of cloud platforms, the monitoring of clouds encounters a number of critical challenges related to flexibility, scalability, efficiency, and performance. In this paper, we present JTang Cloud Monitoring System (JTangCMS), an efficient monitoring system for cloud platforms. Our contributions cover the collection, delivery, and processing of monitoring data. For data collection, a flexible and scalable agent is implemented with pluggable monitoring components to collect runtime information from different entities. For data delivery, an efficient and robust data dissemination framework is implemented to transmit the runtime information reliably with high throughput and low latency, based on the Data Distribution Service (DDS). For data processing, a cloud action platform is developed to support cloud management decision-making, based on complex event processing (CEP). Finally, detailed experimental evaluations show the feasibility and efficiency of JTangCMS.
KW - Cloud monitoring
KW - Complex event processing
KW - Data distribution service
UR - https://www.scopus.com/pages/publications/84981275205
U2 - 10.1016/j.ins.2016.06.009
DO - 10.1016/j.ins.2016.06.009
M3 - 文章
AN - SCOPUS:84981275205
SN - 0020-0255
VL - 370-371
SP - 402
EP - 423
JO - Information Sciences
JF - Information Sciences
ER -