Honolulu, HI, USA USA
June 24, 2012 to June 29, 2012
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CLOUD.2012.12
Enterprise clouds today support an on demand resource allocation model and can provide resources requested by applications in a near online manner using virtual machine resizing or cloning. However, in order to take advantage of an on demand resource model, enterprise applications need to be automatically scaled in a way that makes the most efficient use of resources. In this work, we present the SmartScale automated scaling framework. SmartScale uses a combination of vertical (adding more resources to existing VM instances) and horizontal (adding more VM instances) scaling to ensure that the application is scaled in a manner that optimizes both resource usage and the reconfiguration cost incurred due to scaling. The SmartScale methodology is proactive and ensures that the application converges quickly to the desired scaling level even when the workload intensity changes significantly. We evaluate SmartScale using real production traces on Olio, an emerging cloud benchmark, running on a ???-based cloud testbed. We present both theoretical and experimental evidence that comprehensively establish the effectiveness of SmartScale.
Servers, Throughput, Virtual machining, Resource management, Load modeling, Hardware, Cloud computing, enterprise clouds, Vertical Scaling, Horizontal Scaling, data-center reconfiguration, Olio
Sourav Dutta, Sankalp Gera, Akshat Verma, Balaji Viswanathan, "SmartScale: Automatic Application Scaling in Enterprise Clouds", CLOUD, 2012, 2013 IEEE Sixth International Conference on Cloud Computing, 2013 IEEE Sixth International Conference on Cloud Computing 2012, pp. 221-228, doi:10.1109/CLOUD.2012.12