The paper Accelerating Performance Inference over Closed Systems by Asymptotic Methods has won the best paper award at ACM Sigmetrics’17. The paper presents novel formulas and computational algorithms for the normalizing constant of state probability of closed queueing network models. An extended abstract is available here.
Posts By: Giuliano Casale
Best student paper at IM 2017
The paper K. Molka, G. Casale, “Energy-efficient resource allocation and provisioning for in-memory database clusters” has won the best student paper award at IFIP/IEEE IM 2017! Congratulations to Karsten for a great job and his well-deserved achievement!
Paper accepted in IEEE CLOUD
The paper “How to Supercharge the Amazon T2: Observations and Suggestions” by Jiawei Wen, Lihua Ren, Feng Yan, Daniel J. Dubois, Giuliano Casale, and Evgenia Smirni has been accepted for IEEE CLOUD 2017. The paper proposes a methodology to increase the performance benefits of T2 instances on Amazon EC2.
Special Issue on IEEE TNSM
I am co-organizing a special issue on IEEE Transactions on Network and Service Management on Advances in Big Data Analytics for Management. This follows-up from a special issue on TNSM on the same topic that I co-organised in 2015. Paper submissions deadline: May 13, 2017.
VALUETOOLS 2017 PC chair
This year I am co-organiser (PC co-chair) for Valuetools 2017, the 11th EAI International Conference on Performance Evaluation Methodologies and Tools. The conference will have a submission deadline in July and will be hosted in Venice by the general chairs Andrea Marin and Benny Van Houdt. Consider submitting a contribution!
JMT 1.0.0 Released!
Download: http://sourceforge.net/projects/jmt/files/jmt/JMT-1.0.0/JMT-installer-1.0.0.jar/download JMT now supports simulation of generalized stochastic Petri nets and queueing Petri nets! Summary of changes – JSIMgraph, JSIMwiz: Petri net components: Place and Transition (see JMT user manual for more details) Added some examples of Petri nets and hybrid models in the JMT working folder Enabled group constraints in Finite Capacity Regions… Read more »
Paper accepted at Sigmetrics’17
My paper Accelerating Performance Inference over Closed Systems by Asymptotic Methods has been accepted for presentation at ACM Sigmetrics’17 as a full paper! The paper investigates the computation of likelihoods in closed multi-class queueing networks. Novel exact and asymptotic approximations for the normalizing constant of state probabilities are derived and shown to address computational limitations of prior art.
Paper accepted in IEEE TRel
The paper “LINE : A Scalable Tool for Evaluating Software Applications in Unreliable Environments“, co-authored by J.F.Peréz and G.Casale, has been accepted for inclusion in an upcoming issue of IEEE Transactions on Reliability! If you want to use the techniques presented in the paper, please download the latest release of the LINE tool.
Paper accepted at IFIP/IEEE IM’17
The paper “Energy-Efficient Resource Allocation and Provisioning for InMemory Database Clusters” coauthored by K. Molka and G. Casale has been accepted for IFIP/IEEE IM 2017! The paper looks at consolidaton of SAP HANA clusters and defines a mixed-integer nonlinear optimization problem for dealing with resource allocation and server assignment. The solution approach combines genetic algorithms… Read more »
Papers accepted at VALUETOOLS 2016
Our team is presenting this week two modelling papers at ICST VALUETOOLS 2016 in beautiful Taormina, Italy: A Queueing Network Model for Performance Prediction of Apache Cassandra, by Salvatore Dipietro, Giuliano Casale and Giuseppe Serazzi. This papers presents a simulation model for Cassandra and validates this model against an actual Cassandra deployment and an alternative implementation… Read more »
