TY - GEN
T1 - CLAMS
T2 - 11th IEEE International Conference on Services Computing, SCC 2014
AU - Alhamazani, Khalid
AU - Ranjan, Rajiv
AU - Mitra, Karan
AU - Jayaraman, Prem Prakash
AU - Huang, Zhiqiang
AU - Wang, Lizhe
AU - Rabhi, Fethi
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/10/17
Y1 - 2014/10/17
N2 - Cloud computing provides on-demand access to affordable hardware (e.g., multi-core CPUs, GPUs, disks, and networking equipment) and software (e.g., databases, application servers, data processing frameworks, etc.) platforms. Application services hosted on single/multiple cloud provider platforms have diverse characteristics that require extensive monitoring mechanisms to aid in controlling run-time quality of service (e.g., access latency and number of requests being served per second, etc.). To provide essential real-time information for effective and efficient cloud application quality of service (QoS) monitoring, in this paper we propose, develop and validate CLAMS-Cross-Layer Multi-Cloud Application Monitoring-as-a-Service Framework. The proposed framework is capable of: (a) performing QoS monitoring of application components (e.g., database, web server, application server, etc.) that may be deployed across multiple cloud platforms (e.g., Amazon and Azure), and (b) giving visibility into the QoS of individual application component, which is something not supported by current monitoring services and techniques.
AB - Cloud computing provides on-demand access to affordable hardware (e.g., multi-core CPUs, GPUs, disks, and networking equipment) and software (e.g., databases, application servers, data processing frameworks, etc.) platforms. Application services hosted on single/multiple cloud provider platforms have diverse characteristics that require extensive monitoring mechanisms to aid in controlling run-time quality of service (e.g., access latency and number of requests being served per second, etc.). To provide essential real-time information for effective and efficient cloud application quality of service (QoS) monitoring, in this paper we propose, develop and validate CLAMS-Cross-Layer Multi-Cloud Application Monitoring-as-a-Service Framework. The proposed framework is capable of: (a) performing QoS monitoring of application components (e.g., database, web server, application server, etc.) that may be deployed across multiple cloud platforms (e.g., Amazon and Azure), and (b) giving visibility into the QoS of individual application component, which is something not supported by current monitoring services and techniques.
KW - Cloud computing
KW - Cross-layer monitoring
KW - Multi-clouds
KW - QoS
UR - http://www.scopus.com/inward/record.url?scp=84919668719&partnerID=8YFLogxK
U2 - 10.1109/SCC.2014.45
DO - 10.1109/SCC.2014.45
M3 - Conference contribution
T3 - Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014
SP - 283
EP - 290
BT - Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014
A2 - Ferrari, Elena
A2 - Kaliappa, Ravindran
A2 - Hung, Patrick C.K.
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 June 2014 through 2 July 2014
ER -