Paper accepted at Sigmetrics’17

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Jan 052017
 

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

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Dec 132016
 

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

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Nov 112016
 

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 and a modified best-fit-decreasing heuristic for finding a near-optimal solution.

Papers accepted at VALUETOOLS 2016

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Oct 252016
 

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 running on ScyllaDB.
  • Performance Prediction for Burstable Cloud Resources, by Daniel Dubois and Giuliano Casale. This tool paper presents a software for analyzing the performance of burstable cloud instances, such a micro VMs.

Congratulations to Daniel and Salvatore!

Paper accepted in ACM TOMACS

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Feb 212016
 

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.

Best paper award at IEEE ICCAC

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Sep 262015
 

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 used to model the risk of loss of virtual machines due to spot price fluctuations. A heuristic is proposed to quickly find a good local optimum to the deployment model.

An open dataset for this paper is available on Zenodo.

Accepted paper at CNSM 2015

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Aug 132015
 

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 HANA. Simulation is shown to be surprisingly accurate against several performance metrics such as response times, server utilization, energy consumption and memory usage.

Accepted Paper at CAC 2015

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Jul 152015
 

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.