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Self-Management of Applications and Systems to Optimize Energy in Data Centers Nathuji, R., & Schwan, K. (2007). VirtualPower: coordinated power management in virtualized enterprise systems. Proceedings of the 21st ACM Symposium on Operating Systems Principles (SOSP), 41(6), 265-278. Retrieved from http://por- Raghavendra, R., Ranganathan, P., Talwar, V., Wang, Z., & Zhu, X. (2008). No " Power " Strug- gles: Coordinated Multi-level Power Management for the Data Center. Proceedings of the 13th inter- national conference on Architectural support for programming languages and operating systems, 43(3), 48-59. Retrieved from http://portal.acm. org/citation.cfm?id=1346281.1346289 Soundararajan, V., & Anderson, J. M. (2010). The impact of management operations on the virtual- ized datacenter. Proceedings of the 37th annual international symposium on Computer architec- ture ISCA, 326. Retrieved from http://portal.acm. KEY TERMS AND DEFINITIONS Autonomic Computing: A concept that refers to computer systems equipped with self- management mechanisms. Constraint Programming: Programming par- adigm in which the variables and the relationships among them are defined in terms of constraints. Energy Efficiency: A metric defined in terms of amount work compared to the energy consumed. Performance: A metric defined in terms of amount of work performed compared to the time and resource consumed. Quality of Service: A set of quantitative and qualitative properties of a system necessary to achieve both the required functionality of the application and user satisfaction. Utility Computing: A model based on service provisioning in which computing resources are made available to customers as needed.