Our paper Maximum Likelihood Estimation of Closed Queueing Network Demands from Queue Length Data;, co-authored by W. Wang, G. Casale, A. Kattepur and M. Nambiar has received the best paper award at ICPE2016, the IEEE International Conference on Performance Engineering! The paper proposes maximum likelihood (ML) estimators for service demands in closed queueing networks with… Read more »
Our paper “A Bayesian Approach to Parameter Inference in Queueing Networks” coauthored by Weikun Wang, Giuliano Casale and Charles Sutton has been accepted for publication in ACM Transactions on Computer Modeling and Simulation (TOMACS). This is the journal extension of our MASCOTS’13 paper.
Our paper Autonomic Provisioning and Application Mapping on Spot Cloud Resources;, co-authored by D. Dubois and G. Casale, has received the best paper award at ICCAC2015, the IEEE International Conference on Cloud and Autonomic Computing! The paper proposes a deployment model for cloud applications based on the notion of random environment. The random environment is… Read more »
Our paper “Less can be More: micro-Managing VMs in Amazon EC2” by Jiawei Wen, Lei Lu, Giuliano Casale, Evgenia Smirni has won the best paper award at IEEE CLOUD 2015!
The paper “Experiments or Simulation? A Characterization of Evaluation Methods for In-Memory Databases” by Karsten Molka and Giuliano Casale has been accepted for full paper presentation at IFIP/IEEE CNSM 2015. The paper compares the applicability of response surface methods and queueing network simulation in performance assessment of in-memory databases, based on an extensive experimental study on SAP… Read more »
The paper “Autonomic Provisioning and Application Mapping on Spot Cloud Resources” by Daniel Dubois and Giuliano Casale has been accepted for publication at the IEEE International Conference on Cloud and Autonomic Computing (ICCAC 2015) to be held in Boston, September 21-25, 2015.
The paper “QD-AMVA: Evaluating Systems with Queue-Dependent Service Requirements” co-authored by Giuliano Casale, Juan F. Perez, and Weikun Wang has been accepted for presentation at IFIP Performance 2015. The conference will take place in Sydney, 19-21 October 2015. The paper derives a variant of the Bard-Schweitzer approximate mean value analysis algorithm for queuing networks with state-dependent… Read more »
Our paper J.Wen, L.Lu, G.Casale, E.Smirni “Less can be More: micro-Managing VMs in Amazon EC2” has been accepted for IEEE CLOUD 2015. The paper presents a performance characterization of t1.micro VMs on Amazon EC2. The paper also examines the cost-performance trade-offs of t1.micro and proposes an algorithm for managing long running applications in spite of capacity stealing by the… Read more »