LEADER 00916nam a2200253 i 4500 001 991003500239707536 005 20020503194251.0 008 001103s1964 it ||| | ita 035 $ab10514752-39ule_inst 035 $aEXGIL121939$9ExL 040 $aBiblioteca Interfacoltà$bita 082 0 $a230 100 1 $aMoeller, Charles$0159519 245 10$aMentalità moderna ed evangelizzazione /$cCharles Moeller 260 $aRoma :$bEdizioni paoline,$c1964 300 $a578 p. 500 $aTit. orig.: Mentalite moderne et evangelisation 650 4$aCristianesimo$ySec. 20. 907 $a.b10514752$b02-04-14$c27-06-02 912 $a991003500239707536 945 $aLE002 Fil. VIII C 19$g1$i2002000526526$lle002$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i10592672$z27-06-02 996 $aMentalità moderna ed evangelizzazione$9212890 997 $aUNISALENTO 998 $ale002$b01-01-00$cm$da $e-$fita$git $h0$i1 LEADER 05858nam 2200481 450 001 996472070303316 005 20231110215438.0 010 $a3-031-04718-4 035 $a(MiAaPQ)EBC6953184 035 $a(Au-PeEL)EBL6953184 035 $a(CKB)21511108700041 035 $a(PPN)26216759X 035 $a(EXLCZ)9921511108700041 100 $a20221122d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aService-oriented and cloud computing $e9th IFIP WG 6.12 European Conference, ESOCC 2022, Wittenberg, Germany, March 22-24, 2022, proceedings /$fedited by Fabrizio Montesi, George Angelos Papadopoulos, Wolf Zimmermann 210 1$aCham, Switzerland :$cSpringer,$d[2022] 210 4$dİ2022 215 $a1 online resource (161 pages) 225 1 $aLecture Notes in Computer Science ;$vv.13226 311 08$aPrint version: Montesi, Fabrizio Service-Oriented and Cloud Computing Cham : Springer International Publishing AG,c2022 9783031047176 320 $aIncludes bibliographical references and index. 327 $aIntro -- Preface -- Organization -- Contents -- Invited Talk -- Sniffbots to the Rescue - Fog Services for a Gas-Sniffing Immersive Robot Collective -- 1 Introduction -- 2 Sniffing Immersive Robot Collectives -- 2.1 The Robot Network -- 2.2 The Self-organizing, Sniffing Wireless Sensor Network -- 2.3 The Positioning Network -- 2.4 The Immersion Network -- 2.5 Coordination of the Sniffbot IRC via Dashboard -- 3 Service Architecture of a Sniffing Immersive Robot Collective -- 3.1 The Big Nose: Sniffing Services of Wireless Sensor Network -- 3.2 The Nano-Nose: Sensing with Nano-Sensors -- 3.3 The 3-D Nose: The Environment Model Service -- 3.4 The Mobile Human Avatar: Services for Immersive Control -- 4 Experiments with the IRC Fog Services -- 4.1 Sniffing with a Big Nose -- 4.2 Sensing with a Drone -- 4.3 Coupling Autonavigation and Last-Mile Immersion -- 5 Comparison to Related Work -- 6 Conclusion -- References -- Support for Cloud Applications -- Dynamic Threshold Setting for VM Migration -- 1 Introduction -- 2 Related Work -- 3 Proposed Reinforcement Learning Management Algorithm -- 3.1 State -- 3.2 Actions -- 3.3 Reward -- 4 Experimental Setup and Evaluation -- 4.1 Experiments -- 4.2 SLA Violations -- 4.3 Energy Consumption -- 4.4 Learning Threshold Assessment -- 5 Conclusion and Future Works -- References -- Secure Partitioning of Composite Cloud Applications -- 1 Introduction -- 2 Background and Motivating Example -- 2.1 Background -- 2.2 Motivating Example -- 3 Methodology and Prototype -- 3.1 Modelling Applications and Labelling -- 3.2 Eligible Partitioning -- 3.3 Labelling Suggestions -- 4 Motivating Example Revisited -- 4.1 Finding the Minimal Partitioning -- 4.2 Relaxing the Labelling -- 5 Related Work -- 6 Concluding Remarks -- References -- A Decentralized Service Control Framework for Decentralized Applications in Cloud Environments. 327 $a1 Introduction -- 2 Decentralized Service Control Framework -- 2.1 Architecture Design -- 2.2 Decentralized Control Consensus -- 3 Experiments -- 4 Conclusion -- References -- Service Design and Development -- A Systematic Comparison of IoT Middleware -- 1 Introduction -- 2 Background -- 2.1 IoT Characteristics -- 2.2 IoT Middleware Requirements -- 3 Related Work -- 4 Methodology -- 4.1 Middleware Selection Process (Preprocessing) -- 4.2 Feature Quantification Process -- 4.3 Evaluation Process -- 5 Application of the Approach -- 5.1 Middleware Selection Process (Preprocessing) -- 5.2 Feature Quantification Process -- 5.3 Evaluation of Middleware Parts -- 6 Conclusion -- References -- Pattern-Based Resolution of Integration Mismatches in Enterprise Applications -- 1 Introduction -- 2 Motivating Scenario -- 3 Modelling Integration Architectures -- 4 Resolving Mismatches in Integration Architectures -- 4.1 Resolvable Mismatches -- 4.2 Resolving Mismatches -- 5 Proof-of-Concept Implementation -- 6 Motivating Example Retaken -- 7 Related Work -- 8 Conclusions -- References -- Towards a Quality Model for Cloud-native Applications -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 A Quality Model for Cloud-Native Applications -- 5 Discussion and Future Work -- 6 Conclusion -- References -- Serverless -- Upilio: Leveraging the Serverless Paradigm for Building a Versatile IoT Application -- 1 Introduction -- 2 Background and Related Work -- 3 Upilio: Design and Implementation -- 3.1 Data Representation and Real-Time Collection -- 3.2 Data Ingress APIs -- 3.3 Serverless Frontend -- 3.4 Serverless Analytics -- 4 Experience and Experimental Evaluation -- 4.1 General Observations -- 4.2 Experimental Results -- 5 Conclusions -- References -- MAFF: Self-adaptive Memory Optimization for Serverless Functions -- 1 Introduction -- 2 Methodology. 327 $a2.1 Cost Optimization -- 2.2 Balanced Optimization -- 3 MAFF Framework -- 3.1 MAFF Components -- 4 Evaluation Settings -- 4.1 Benchmark Functions -- 4.2 Evaluation Scenarios -- 5 Results -- 5.1 Q1. Optimal Configuration Finding Efficiency -- 5.2 Q2. Optimal Configuration Finding Accuracy -- 5.3 Q3. Active vs Passive Approach -- 6 Comparison to Analogs -- 7 Related Work -- 8 Conclusion -- References -- Author Index. 410 0$aLecture Notes in Computer Science 606 $aService-oriented architecture (Computer science) 615 0$aService-oriented architecture (Computer science) 676 $a004.6782 702 $aZimmermann$b Wolf 702 $aPapadopoulos$b George A.$f1960- 702 $aMontesi$b Fabrizio 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996472070303316 996 $aService-Oriented and Cloud Computing$92834259 997 $aUNISA LEADER 05577nam 22008175 450 001 9910483710603321 005 20251226202537.0 010 $a3-642-01181-0 024 7 $a10.1007/978-3-642-01181-8 035 $a(CKB)1000000000718125 035 $a(SSID)ssj0000317917 035 $a(PQKBManifestationID)11923561 035 $a(PQKBTitleCode)TC0000317917 035 $a(PQKBWorkID)10295488 035 $a(PQKB)10847659 035 $a(DE-He213)978-3-642-01181-8 035 $a(MiAaPQ)EBC3064103 035 $a(PPN)134131347 035 $a(EXLCZ)991000000000718125 100 $a20100301d2009 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aGenetic Programming $e12th European Conference, EuroGP 2009 Tübingen, Germany, April, 15-17, 2009 Proceedings /$fedited by Leonardo Vanneschi, Steven Gustafson, Alberto Moraglio, Ivanoe de Falco, Marc Ebner 205 $a1st ed. 2009. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2009. 215 $a1 online resource (XIII, 363 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v5481 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-642-01180-2 320 $aIncludes bibliographical references and index. 327 $aOral Presentations -- One-Class Genetic Programming -- Genetic Programming Based Approach for Synchronization with Parameter Mismatches in EEG -- Memory with Memory in Tree-Based Genetic Programming -- On Dynamical Genetic Programming: Random Boolean Networks in Learning Classifier Systems -- Why Coevolution Doesn?t ?Work?: Superiority and Progress in Coevolution -- On Improving Generalisation in Genetic Programming -- Mining Evolving Learning Algorithms -- The Role of Population Size in Rate of Evolution in Genetic Programming -- Genetic Programming Crossover: Does It Cross over? -- Evolution of Search Algorithms Using Graph Structured Program Evolution -- Genetic Programming for Feature Subset Ranking in Binary Classification Problems -- Self Modifying Cartesian Genetic Programming: Fibonacci, Squares, Regression and Summing -- Automatic Creation of Taxonomies of Genetic Programming Systems -- Extending Operator Equalisation: Fitness Based Self Adaptive Length Distribution for Bloat Free GP -- Modeling Social Heterogeneity with Genetic Programming in an Artificial Double Auction Market -- Exploring Grammatical Evolution for Horse Gait Optimisation -- There Is a Free Lunch for Hyper-Heuristics, Genetic Programming and Computer Scientists -- Tree Based Differential Evolution -- A Rigorous Evaluation of Crossover and Mutation in Genetic Programming -- On Crossover Success Rate in Genetic Programming with Offspring Selection -- An Experimental Study on Fitness Distributions of Tree Shapes in GP with One-Point Crossover -- Posters -- Behavioural Diversity and Filtering in GP Navigation Problems -- A Real-Time Evolutionary Object Recognition System -- On the Effectiveness of Evolution Compared to Time-Consuming Full Search of Optimal 6-State Automata -- Semantic Aware Crossover for GeneticProgramming: The Case for Real-Valued Function Regression -- Beneficial Preadaptation in the Evolution of a 2D Agent Control System with Genetic Programming -- Adaptation, Performance and Vapnik-Chervonenkis Dimension of Straight Line Programs -- A Statistical Learning Perspective of Genetic Programming -- Quantum Circuit Synthesis with Adaptive Parameters Control -- Comparison of CGP and Age-Layered CGP Performance in Image Operator Evolution. 330 $aThis book constitutes the refereed proceedings of the 11th European Conference on Genetic Programming, EuroGP 2009, held in Tübingen, Germany, in April 2009 colocated with the Evo* 2009 events. The 21 revised plenary papers and 9 revised poster papers were carefully reviewed and selected from a total of 57 submissions. A great variety of topics are presented reflecting the current state of research in the field of genetic programming, including the latest work on representations, theory, operators and analysis, feature selection, generalisation, coevolution and numerous applications. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v5481 606 $aComputer programming 606 $aComputer science 606 $aAlgorithms 606 $aPattern recognition systems 606 $aArtificial intelligence 606 $aBioinformatics 606 $aProgramming Techniques 606 $aTheory of Computation 606 $aAlgorithms 606 $aAutomated Pattern Recognition 606 $aArtificial Intelligence 606 $aComputational and Systems Biology 615 0$aComputer programming. 615 0$aComputer science. 615 0$aAlgorithms. 615 0$aPattern recognition systems. 615 0$aArtificial intelligence. 615 0$aBioinformatics. 615 14$aProgramming Techniques. 615 24$aTheory of Computation. 615 24$aAlgorithms. 615 24$aAutomated Pattern Recognition. 615 24$aArtificial Intelligence. 615 24$aComputational and Systems Biology. 676 $a005.11 701 $aGustafson$b Steven$01762507 701 $aMoraglio$b Alberto$01762508 701 $aVanneschi$b Leonardo$01353935 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483710603321 996 $aGenetic programming$94202489 997 $aUNINA