Utility functions in autonomic systems Export

@proceedings{citeulike:335609, abstract = {Utility functions provide a natural and advantageous framework for achieving self-optimization in distributed autonomic computing systems. We present a distributed architecture, implemented in a realistic prototype data center, that demonstrates how utility functions can enable a collection of autonomic elements to continually optimize the use of computational resources in a dynamic, heterogeneous environment. Broadly, the architecture is a two-level structure of independent autonomic elements that supports flexibility, modularity, and self-management. Individual autonomic elements manage application resource usage to optimize local service-level utility functions, and a global arbiter allocates resources among application environments based on resource-level utility functions obtained from the managers of the applications. We present empirical data that demonstrate the effectiveness of our utility function scheme in handling realistic, fluctuating Web-based transactional workloads running on a Linux cluster.}, author = {Walsh, W. E. and Tesauro, G. and Kephart, J. O. and Das, R.}, citeulike-article-id = {335609}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ICAC.2004.1301349}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1301349}, doi = {10.1109/ICAC.2004.1301349}, journal = {Autonomic Computing, 2004. Proceedings. International Conference on}, keywords = {adaptive, autonomic, metrics, utility}, pages = {70--77}, posted-at = {2008-05-18 10:52:50}, priority = {2}, title = {Utility functions in autonomic systems}, url = {http://dx.doi.org/10.1109/ICAC.2004.1301349}, year = {2004} }

TY - CONF ID - citeulike:335609 L3 - citeulike-article-id:335609 N2 - Utility functions provide a natural and advantageous framework for achieving self-optimization in distributed autonomic computing systems. We present a distributed architecture, implemented in a realistic prototype data center, that demonstrates how utility functions can enable a collection of autonomic elements to continually optimize the use of computational resources in a dynamic, heterogeneous environment. Broadly, the architecture is a two-level structure of independent autonomic elements that supports flexibility, modularity, and self-management. Individual autonomic elements manage application resource usage to optimize local service-level utility functions, and a global arbiter allocates resources among application environments based on resource-level utility functions obtained from the managers of the applications. We present empirical data that demonstrate the effectiveness of our utility function scheme in handling realistic, fluctuating Web-based transactional workloads running on a Linux cluster. JF - Autonomic Computing, 2004. Proceedings. International Conference on EP - 77 TI - Utility functions in autonomic systems SP - 70 KW - adaptive KW - autonomic KW - metrics KW - utility AU - Walsh, WE AU - Tesauro, G AU - Kephart, JO AU - Das, R PY - 2004/// UR - http://dx.doi.org/10.1109/ICAC.2004.1301349 ER -