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.
Posts By: Giuliano Casale
After a 36-months research effort, the MODAClouds Project has now successfully concluded with the release of Multi-Cloud DevOps Toolbox and the creation of the MODAClouds MultiClouds Alliance. See the official announcement.
After a long wait of more than a year and a half, in which the JMT teams at Politecnico di Milano and Imperial College London worked a lot on improving the tool, Java Modelling Tools version 0.9.2 has now been finally released! A list of new features and changes from the previous release is available… Read more »
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 »
I am co-organizing a special issue on IEEE Transactions on Network and Service Management on Big Data Analytics for Management. Paper submissions deadline: November 15, 2015.
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 new release (v 0.7) of LINE, our layered queueing network solver, provides initial support for the performance evaluation of BPMN collaboration diagrams. LINE reads the BPMN model in the standard BPMN XML format, augmented with timing information, and analyzes it by means of a model-to-model transformation to LQN models. We also added scripts to read PMIF models.
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 »