ACM Transactions on Autonomous and Adaptive Systems (TAAS): Volume 12 Issue 4, January 2018
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Online applications that serve global workload have become a norm and those applications are experiencing not only temporal but also spatial workload variations. In addition, more applications are hosting their backend tiers separately for benefits such as ease of management. To provision for such applications, traditional elasticity approaches that only ...
Distributed clouds, database elasticity, model-based provisioning
ICAC '15: Proceedings of the 2015 IEEE International Conference on Autonomic Computing
Publisher: IEEE Computer Society
Motivated by the emergence of distributed clouds, we argue for the need for geo-elastic provisioning of application replicas to effectively handle temporal and spatial workload fluctuations seen by such applications. We present DB Scale, a system that tracks geographic variations in the workload to dynamically provision database replicas at different ...
Distributed Clouds, Database Elasticity