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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the professor, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information on professor
ProfessorArdagna Danilo
QualificationAssociate professor
Belonging DepartmentDipartimento di Elettronica, Informazione e Bioingegneria
Scientific-Disciplinary SectorING-INF/05 - Information Processing Systems
Curriculum VitaeDownload CV (349.37Kb - 08/01/2019)
OrcIDhttps://orcid.org/0000-0003-4224-927X

Contacts
Professor's office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Elettronica e Informazione - Via Golgi 423574--ThursdayFrom 16:30
To 18:30
35143574It is possible to schedule a meeting by email in a different day of the week/time of the day.
E-maildanilo.ardagna@polimi.it
Professor's personal websitehttp://home.dei.polimi.it/ardagna/index.html

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2019 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
BIGSEA: A Big Data analytics platform for public transportation information (Show >>)
Analytical composite performance models for Big Data applications (Show >>)
Conference proceedings
Gray-Box Models for Performance Assessment of Spark Applications (Show >>)
Machine Learning for Performance Prediction of Spark Cloud Applications (Show >>)


List of publications and reserach products for the year 2018 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Enterprise applications cloud rightsizing through a joint benchmarking and optimization approach (Show >>)
Context-aware Data Quality Assessment for Big Data (Show >>)
A framework for joint resource allocation of MapReduce and web service applications in a shared cloud cluster (Show >>)
Conference proceedings
Performance Degradation and Cost Impact Evaluation of Privacy Preserving Mechanisms in Big Data Systems (Show >>)
Performance Prediction of Cloud-Based Big Data Applications (Show >>)
Performance Prediction of GPU-based Deep Learning Applications (Show >>)


List of publications and reserach products for the year 2017 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Experiences and challenges in building a data intensive system for data migration (Show >>)
Fluid petri nets for the performance evaluation of mapreduce and spark applications (Show >>)
The Economics of the Cloud (Show >>)
Conference proceedings
Fluid Petri Nets for the Performance Evaluation of MapReduce Applications (Show >>)
A Game-Theoretic Approach for Runtime Capacity Allocation in MapReduce (Show >>)


List of publications and reserach products for the year 2016 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
A Mixed Integer Linear Programming Optimization Approach for Multi-Cloud Capacity Allocation (Show >>)
Service provisioning problem in cloud and multi-cloud systems (Show >>)
Contributions on scientific books
Stage Aware Performance Modeling of DAG Based in Memory Analytic Platforms (Show >>)
Conference proceedings
Palladio Optimization Suite: QoS Optimization for Component-based Cloud Applications (Show >>)
A Model-Driven DevOps Framework for QoS-Aware Cloud Applications (Show >>)
D-SPACE4Cloud: A Design Tool for Big Data Applications (Show >>)
Modeling performance of Hadoop applications: A journey from queueing networks to stochastic well formed nets (Show >>)
A Combined Analytical Modeling Machine Learning Approach for Performance Prediction of MapReduce Jobs in Hadoop Clusters (Show >>)


List of publications and reserach products for the year 2015 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Optimal Map Reduce Job Capacity Allocation in Cloud Systems. (Show >>)
Generalized Nash Equilibria for the Service Provisioning Problem in Multi-Cloud Systems (Show >>)
Conference proceedings
Optimal capacity allocation for executing mapreduce jobs in cloud systems (Show >>)
A receding horizon approach for the runtime management of IaaS cloud systems (Show >>)
Game-Theoretic Approach to Joint Admission Control and Capacity Allocation for MapReduce (Show >>)
SPACE4Cloud: a DevOps environment for multi-cloud applications (Show >>)
A Joint Benchmark-Analytic Approach For Design-Time Assessment of Multi-Cloud Applications (Show >>)
DICE: Quality-Driven Development of Data-Intensive Cloud Applications (Show >>)
manifesti v. 3.1.3 / 3.1.3
Area Servizi ICT
18/10/2019