2015 International Conference on Cloud and Autonomic Computing (ICCAC) (2015)
Boston, MA, USA
Sept. 21, 2015 to Sept. 25, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICCAC.2015.13
Cloud data centers commonly use virtualization technologies to provision compute capacity with a level of indirection between virtual machines and physical resources. In this paper we explore the use of that level of indirection as a means for autonomic data center configuration optimization and propose a sensor-actuator model to capture optimization-relevant relationships between data center events, monitored metrics (sensors data), and management actions (actuators). The model characterizes a wide spectrum of actions to help identify the suitability of different actions in specific situations, and outlines what (and how often) data needs to be monitored to capture, classify, and respond to events that affect the performance of data center operations.
Virtual machining, Monitoring, Optimization, Power demand, Resource management, Data models, Actuators
Jakub Krzywda, Per-Olov Ostberg, Erik Elmroth, "A Sensor-Actuator Model for Data Center Optimization", 2015 International Conference on Cloud and Autonomic Computing (ICCAC), vol. 00, no. , pp. 192-195, 2015, doi:10.1109/ICCAC.2015.13