ARDAGNA, DANILO
 Distribuzione geografica
Continente #
NA - Nord America 15.081
EU - Europa 9.218
AS - Asia 6.599
SA - Sud America 1.187
AF - Africa 360
OC - Oceania 23
Continente sconosciuto - Info sul continente non disponibili 9
Totale 32.477
Nazione #
US - Stati Uniti d'America 13.936
RU - Federazione Russa 2.913
SG - Singapore 2.430
CN - Cina 1.682
IT - Italia 1.467
DE - Germania 1.379
GB - Regno Unito 1.114
CA - Canada 1.036
BR - Brasile 1.001
VN - Vietnam 765
FR - Francia 430
KR - Corea 362
UA - Ucraina 327
FI - Finlandia 289
JP - Giappone 276
SE - Svezia 267
HK - Hong Kong 256
ES - Italia 205
AT - Austria 204
NL - Olanda 173
MA - Marocco 157
IE - Irlanda 155
IN - India 138
ID - Indonesia 102
IR - Iran 85
PL - Polonia 77
MX - Messico 76
AR - Argentina 70
TW - Taiwan 70
CI - Costa d'Avorio 61
JO - Giordania 58
BD - Bangladesh 55
IQ - Iraq 53
TR - Turchia 44
BE - Belgio 43
ZA - Sudafrica 40
EC - Ecuador 33
PH - Filippine 29
PK - Pakistan 29
CH - Svizzera 26
SA - Arabia Saudita 23
GR - Grecia 21
KE - Kenya 21
AU - Australia 20
SI - Slovenia 20
UZ - Uzbekistan 20
VE - Venezuela 20
CO - Colombia 18
CL - Cile 17
AE - Emirati Arabi Uniti 16
CZ - Repubblica Ceca 16
TN - Tunisia 16
MY - Malesia 15
NP - Nepal 15
AL - Albania 12
CD - Congo 12
PY - Paraguay 12
TH - Thailandia 11
EG - Egitto 10
AZ - Azerbaigian 9
BG - Bulgaria 9
IL - Israele 9
LV - Lettonia 9
RO - Romania 9
LT - Lituania 8
KZ - Kazakistan 7
PA - Panama 7
PE - Perù 7
PT - Portogallo 7
UY - Uruguay 7
BJ - Benin 6
ET - Etiopia 6
EU - Europa 6
JM - Giamaica 6
DK - Danimarca 5
DZ - Algeria 5
HR - Croazia 5
HU - Ungheria 5
KG - Kirghizistan 5
LY - Libia 5
OM - Oman 5
AO - Angola 4
BB - Barbados 4
CR - Costa Rica 4
EE - Estonia 4
GE - Georgia 4
MK - Macedonia 4
QA - Qatar 4
RS - Serbia 4
SK - Slovacchia (Repubblica Slovacca) 4
DO - Repubblica Dominicana 3
KW - Kuwait 3
LK - Sri Lanka 3
NZ - Nuova Zelanda 3
SN - Senegal 3
TT - Trinidad e Tobago 3
AM - Armenia 2
BH - Bahrain 2
BO - Bolivia 2
BY - Bielorussia 2
Totale 32.437
Città #
Ashburn 1.758
Fairfield 1.195
Singapore 1.187
San Jose 1.092
Woodbridge 1.020
Montréal 804
Chandler 796
Munich 771
Houston 747
Ann Arbor 600
Mcallen 600
Wilmington 557
Seattle 512
Santa Clara 420
Moscow 416
Cambridge 415
Milan 400
Hefei 336
Seoul 334
Council Bluffs 293
The Dalles 285
Beijing 281
Tokyo 257
Dearborn 189
Boardman 188
Dallas 187
Hong Kong 181
Ho Chi Minh City 180
Jacksonville 180
Los Angeles 178
Lauterbourg 173
Vienna 173
Dublin 150
Hanoi 146
Lawrence 129
North Charleston 124
Helsinki 122
Ottawa 122
London 121
Málaga 112
New York 104
Medford 94
Buffalo 93
São Paulo 93
Dong Ket 91
Frankfurt am Main 91
Casablanca 85
Jakarta 77
Amsterdam 73
San Diego 69
Rome 68
Warsaw 62
Kenitra 61
Abidjan 57
Amman 57
Orem 54
Des Moines 53
Shanghai 50
Las Vegas 49
Redwood City 47
Taipei 44
Chicago 42
Guangzhou 41
Kent 41
Princeton 39
Düsseldorf 37
Lappeenranta 35
Brussels 34
Montreal 34
Denver 31
Paris 31
Phoenix 31
Brooklyn 29
Nuremberg 28
Norwalk 27
Johannesburg 25
Redmond 25
Haiphong 23
Columbus 22
Livorno 22
Toronto 22
Atlanta 20
Berlin 20
Mexico City 20
Nürnberg 20
Rio de Janeiro 20
Tehran 20
Redondo Beach 18
Tashkent 18
Turin 18
Nanjing 17
San Francisco 17
Stockholm 17
Baghdad 16
Boston 16
Da Nang 16
Hangzhou 16
Nairobi 16
Tianjin 16
Chang-hua 15
Totale 20.158
Nome #
Performance Degradation and Cost Impact Evaluation of Privacy Preserving Mechanisms in Big Data Systems 1.612
D-SPACE4Cloud: Towards Quality-Aware Data Intensive Applications in the Cloud 1.484
Analytical composite performance models for Big Data applications 508
Advancing Design and Runtime Management of AI Applications with AI-SPRINT 431
Fluid Petri Nets for the Performance Evaluation of MapReduce Applications 304
Issues in Handling Complex Data Structures with NoSQL Databases 289
Context-aware Data Quality Assessment for Big Data 283
BIGSEA: A Big Data analytics platform for public transportation information 275
Architectural Design of Cloud Applications: a Performance-aware Cost Minimization Approach. IEEE Transactions on Cloud Computing 275
The RISPOSTA procedure for the collection, storage and analysis of high quality, consistent and reliable damage data in the aftermath of floods 265
Pareto-Optimal Progressive Neural Architecture Search 257
A Hierarchical Receding Horizon Algorithm for QoS-driven control of Multi-IaaS Applications 254
A Combined Analytical Modeling Machine Learning Approach for Performance Prediction of MapReduce Jobs in Hadoop Clusters 250
Performance Prediction of Deep Learning Applications Training in GPU as a Service Systems 247
Gray-Box Models for Performance Assessment of Spark Applications 246
Modeling performance of Hadoop applications: A journey from queueing networks to stochastic well formed nets 244
A QoS-based Selection Approach of Autonomic Grid Services 241
Rethinking the use of models in software architecture 241
Palladio Optimization Suite: QoS Optimization for Component-based Cloud Applications 241
Bayesian optimization with machine learning for big data applications in the cloud 236
A Model-Driven DevOps Framework for QoS-Aware Cloud Applications 235
Performance Prediction of Cloud-Based Big Data Applications 233
Development of Services for Mobile Information Systems 232
A Game-Theoretic Approach for Runtime Capacity Allocation in MapReduce 230
Implementing tools to meet the Floods Directive requirements: a “procedure” to collect, store and manage damage data in the aftermath of flood events 229
FIGARO: reinForcement learnInG mAnagement acRoss the computing cOntinuum 228
A Random Greedy based Design Time Tool for AI Applications Component Placement and Resource Selection in Computing Continua 226
Impianti informatici: Tecnologie ed applicazioni 225
A Game Theoretic Formulation of the Service Provisioning Problem in Cloud Systems 224
Optimal Map Reduce Job Capacity Allocation in Cloud Systems. 223
Experiences and challenges in building a data intensive system for data migration 222
Generalized Nash Equilibria for the Service Provisioning Problem in Multi-Cloud Systems 219
D-SPACE4Cloud: A Design Tool for Big Data Applications 219
Optimizing on-demand GPUs in the Cloud for Deep Learning Applications Training 219
Predicting the Performance of Big Data Applications on the Cloud 218
E-Services 216
A cost-oriented approach for infrastructural design 213
A Cost-oriented tool to support server consolidation 211
Fluid petri nets for the performance evaluation of mapreduce and spark applications 211
A Path Relinking Method for the Joint Online Scheduling and Capacity Allocation of DL Training Workloads in GPU as a Service Systems 209
A Joint Benchmark-Analytic Approach For Design-Time Assessment of Multi-Cloud Applications 209
An Efficient Neural Architecture Search Model for Medical Image Classification 207
A Cost-Oriented Approach for the Design of IT Architectures 204
A Mixed Integer Linear Programming Optimization Approach for Multi-Cloud Capacity Allocation 204
Machine Learning for Performance Prediction of Spark Cloud Applications 203
A Hybrid Approach for Multi-Attribute QoS Optimisation in Component-Based Software Systems 200
Energy-aware joint management of networks and Cloud infrastructures 200
Runtime Management of Artificial Intelligence Applications for Smart Eyewears 199
A Multi-model Optimization Framework for the Model Driven Design of Cloud Applications 199
LIGATE - LIgand Generator and portable drug discovery platform AT Exascale 195
Optimal capacity allocation for executing mapreduce jobs in cloud systems 192
Enterprise applications cloud rightsizing through a joint benchmarking and optimization approach 192
A broker for selecting and provisioning high quality syndicated data 192
SPACE4Cloud: a DevOps environment for multi-cloud applications 190
A framework for joint resource allocation of MapReduce and web service applications in a shared cloud cluster 190
Hierarchical Scheduling in on-demand GPU-as-a-Service Systems 190
A multi-model algorithm for the cost-oriented design of Internet-based systems 187
Autonomic Management of Cloud Service Centers with Availability Guarantees 186
A Multi-Model Algorithm for the cost-oriented design of the Information Technology Infrastructure 185
Evolutionary Design of Information Systems Architectures 184
SLA Based Profit Optimization in Multi-tier Systems 183
Adaptive Service Composition in Flexible Processes 181
A Service-Based Framework for Flexible Business Processes 181
SPACE4AI-D: A Design-Time Tool for AI Applications Resource Selection in Computing Continua 179
Optimizing Quality-Aware Big Data Applications in the Cloud 178
Stage Aware Performance Modeling of DAG Based in Memory Analytic Platforms 176
Optimizing Service Selection and Allocation in Situational Computing Applications 176
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS 172
The MAIS Approach to Web Service Design 171
An approach for the Development of Portable Applications on PaaS Clouds 170
A Stochastic Approach for Scheduling AI Training Jobs in GPU-based Systems 169
A Hierarchical Approach for the Resource Management of Very Large Cloud Platforms 168
Performance Models for Distributed Deep Learning Training Jobs on Ray 167
A Distributed Information System to Coordinate and Support Business Process Execution in a Cluster of Firms 167
An optimization framework for the capacity allocation and admission control of MapReduce jobs in cloud systems 165
Optimal Resource Allocation of Cloud-Based Spark Applications 164
A Hybrid Approach to QoS Evaluation 161
POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique 160
Towards Multi-Clouds engineering 159
Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach 157
Quality-of-service in cloud computing: modeling techniques and their applications 157
Infrastructure and Design for flexibility and adaptivity 156
Efficient parameter tuning for a structure-based virtual screening HPC application 156
Scheduling Deep Learning Jobs Training in the Cloud: Comparing Multiple Approaches 155
Active Energy-Aware Management of Business-Process Based Applications 155
Poli-RISPOSTA Mobile App 155
“WS-DIAMOND Web Services – DIAgnosability, MONitoring and Diagnosis” 155
Generalized Nash Equilibria for the Service Provisioning Problem in Multi-Cloud Systems 152
PAK-MAN: Enhancing Parallel Bayesian Optimization of Cloud and HPC Systems via Machine Learning 151
Performance Prediction for Data-driven Workflows on Apache Spark 151
SPACE4AI-R: a Runtime Management Tool for AI Applications Component Placement and Resource Scaling in Computing Continua 151
AI-SPRINT: Design and Runtime Framework for Accelerating the Development of AI Applications in the Computing Continuum 150
Designing and Rightsizing the Information System Architecture 150
A receding horizon approach for the runtime management of IaaS cloud systems 150
A Randomized Greedy Method for AI Applications Component Placement and Resource Selection in Computing Continua 150
PAWS: a framework for processes with adaptive web services 149
OSCAR-P and aMLLibrary: Performance Profiling and Prediction of Computing Continua Applications 147
A Hybrid Machine Learning Approach for Performance Modeling of Cloud-Based Big Data Applications 147
A Stackelberg Game approach for Managing AI Sensing Tasks in Mobile Crowdsensing 147
DICE: Quality-Driven Development of Data-Intensive Cloud Applications 147
Totale 22.968
Categoria #
all - tutte 81.870
article - articoli 29.990
book - libri 811
conference - conferenze 43.732
curatela - curatele 1.169
other - altro 0
patent - brevetti 669
selected - selezionate 0
volume - volumi 5.122
Totale 163.363


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021730 0 0 0 0 0 0 0 0 0 214 191 325
2021/20221.461 81 179 95 66 180 81 91 96 119 112 144 217
2022/20231.857 196 200 75 205 197 222 18 141 287 153 81 82
2023/20241.141 75 164 56 74 128 135 80 57 31 105 62 174
2024/20253.977 43 60 109 113 511 264 195 308 577 286 714 797
2025/202613.132 2.506 2.256 797 1.190 788 727 2.085 791 832 1.160 0 0
Totale 32.774