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ARMS-CC '17 : proceedings of the 2017 Workshop on Adaptive Resource Management and Scheduling for Cloud Computing : July 28, 2017, Washington, DC, USA / / sponsored by ACM SIGACT & ACM SIGOPS
| ARMS-CC '17 : proceedings of the 2017 Workshop on Adaptive Resource Management and Scheduling for Cloud Computing : July 28, 2017, Washington, DC, USA / / sponsored by ACM SIGACT & ACM SIGOPS |
| Pubbl/distr/stampa | New York : , : ACM, , 2017 |
| Descrizione fisica | 1 online resource (32 pages) |
| Disciplina | 004 |
| Soggetto topico |
Cloud computing
Computer scheduling |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Adaptive Resource Management and Scheduling for Cloud Computing '17 : proceedings of the 2017 Workshop on Adaptive Resource Management and Scheduling for Cloud Computing : July 28, 2017, Washington, District of Columbia, United States of America
Adaptive Resource Management and Scheduling for Cloud Computing '17 Proceedings of the 2017 Workshop on Adaptive Resource Management and Scheduling for Cloud Computing |
| Record Nr. | UNINA-9910375858003321 |
| New York : , : ACM, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Co-scheduling of HPC applications / / edited by Carsten Trinitis and Josef Weidendorfer
| Co-scheduling of HPC applications / / edited by Carsten Trinitis and Josef Weidendorfer |
| Pubbl/distr/stampa | Amsterdam, [Netherlands] : , : IOS Press, , 2017 |
| Descrizione fisica | 1 online resource (176 pages) : illustrations |
| Disciplina | 004.35 |
| Collana | Advances in Parallel Computing |
| Soggetto topico |
High performance computing
Computer scheduling |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-61499-730-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910162815903321 |
| Amsterdam, [Netherlands] : , : IOS Press, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Co-scheduling of HPC applications / / edited by Carsten Trinitis and Josef Weidendorfer
| Co-scheduling of HPC applications / / edited by Carsten Trinitis and Josef Weidendorfer |
| Pubbl/distr/stampa | Amsterdam, [Netherlands] : , : IOS Press, , 2017 |
| Descrizione fisica | 1 online resource (176 pages) : illustrations |
| Disciplina | 004.35 |
| Collana | Advances in Parallel Computing |
| Soggetto topico |
High performance computing
Computer scheduling |
| ISBN | 1-61499-730-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Co-Scheduling: Prospects and Challenges -- Recent Processor Technologies and Co-Scheduling -- Contention-Aware Scheduling Policies for Fairness and Throughput -- Allocation-Internal Co-Scheduling-Interaction and Orchestration of Multiple Concurrent MPI Sessions -- Detailed Application Characterization and Its Use for Effective Co-Scheduling; Initial Formulation of Why Disallowing Same Program Co-Schedules Improves Performance -- Virtualization in HPC-An Enabler for Adaptive Co-Scheduling? -- Impact of the Scheduling Strategy in Heterogeneous Systems That Provide Co-Scheduling. |
| Record Nr. | UNINA-9910792632003321 |
| Amsterdam, [Netherlands] : , : IOS Press, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Co-scheduling of HPC applications / / edited by Carsten Trinitis and Josef Weidendorfer
| Co-scheduling of HPC applications / / edited by Carsten Trinitis and Josef Weidendorfer |
| Pubbl/distr/stampa | Amsterdam, [Netherlands] : , : IOS Press, , 2017 |
| Descrizione fisica | 1 online resource (176 pages) : illustrations |
| Disciplina | 004.35 |
| Collana | Advances in Parallel Computing |
| Soggetto topico |
High performance computing
Computer scheduling |
| ISBN | 1-61499-730-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Co-Scheduling: Prospects and Challenges -- Recent Processor Technologies and Co-Scheduling -- Contention-Aware Scheduling Policies for Fairness and Throughput -- Allocation-Internal Co-Scheduling-Interaction and Orchestration of Multiple Concurrent MPI Sessions -- Detailed Application Characterization and Its Use for Effective Co-Scheduling; Initial Formulation of Why Disallowing Same Program Co-Schedules Improves Performance -- Virtualization in HPC-An Enabler for Adaptive Co-Scheduling? -- Impact of the Scheduling Strategy in Heterogeneous Systems That Provide Co-Scheduling. |
| Record Nr. | UNINA-9910823134503321 |
| Amsterdam, [Netherlands] : , : IOS Press, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Dynamic reconfiguration in real-time systems : energy, performance, and thermal perspectives / / Weixun Wang, Prabhat Mishra, Sanjay Ranka
| Dynamic reconfiguration in real-time systems : energy, performance, and thermal perspectives / / Weixun Wang, Prabhat Mishra, Sanjay Ranka |
| Autore | Wang Weixun |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | New York, : Springer Science+Business Media, 2012 |
| Descrizione fisica | 1 online resource (232 p.) |
| Disciplina | 005.4/2 |
| Altri autori (Persone) |
MishraPrabhat <1973->
RankaSanjay |
| Collana | Embedded systems |
| Soggetto topico |
Systems programming (Computer science)
Computer scheduling Macro processors Embedded computer systems |
| ISBN |
1-283-53173-9
9786613844187 1-4614-0278-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Modeling of Real-Time and Reconfigurable Systems -- Dynamic Cache Reconfiguration in Real-Time Systems -- Energy Optimization of Cache Hierarchy in Multicore Real-Time Systems -- Energy-Aware Scheduling with Dynamic Voltage Scaling -- System-wide Energy Optimization with DVS and DCR -- Temperature- and Energy-Constrained Scheduling -- Conclusions. |
| Record Nr. | UNINA-9910438045303321 |
Wang Weixun
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| New York, : Springer Science+Business Media, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Earth observation satellites : task planning and scheduling / / Hao Chen, Shuang Peng, Chun Du, Jun Li
| Earth observation satellites : task planning and scheduling / / Hao Chen, Shuang Peng, Chun Du, Jun Li |
| Autore | Chen Hao |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (xii, 189 pages) : illustrations (chiefly color) |
| Disciplina | 629.46 |
| Altri autori (Persone) |
PengShuang
DuChun LiJun |
| Soggetto topico |
Artificial satellites
Computer scheduling |
| ISBN | 981-9935-65-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. Problem description and analysis of EOS task scheduling -- 3. Model and method of ground centralized EOS task scheduling -- 4. EOS Task rescheduling for dynamic factors -- 5. Model and method of ground distributed EOS task scheduling -- 6. Model and method of EOS onboard autonomous task scheduling -- 7. Satellite task scheduling system -- 8. Summary and prospect. |
| Record Nr. | UNINA-9910743681203321 |
|
Chen Hao
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Evolutionary and memetic computing for project portfolio selection and scheduling / / Kyle Robert Harrison [and five others] editors
| Evolutionary and memetic computing for project portfolio selection and scheduling / / Kyle Robert Harrison [and five others] editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (218 pages) : VIII, 214 p. 52 illus., 24 illus. in color |
| Disciplina | 006.3823 |
| Collana | Adaptation, Learning and Optimization |
| Soggetto topico |
Evolutionary computation
Computer scheduling |
| ISBN | 3-030-88315-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling: An Introduction -- 1 Introduction -- 2 Problem Formulation -- 3 Solution Methodologies -- 3.1 Mathematical Optimization -- 3.2 Evolutionary Computation -- 3.3 Memetic Computing -- 4 Summary of Chapters -- 5 Guide for Readers -- References -- Evolutionary Approaches for Project Portfolio Optimization: An Overview -- 1 Introduction -- 2 Problem Description -- 2.1 Public and Social Projects -- 2.2 Software/IT Projects -- 2.3 R& -- D and Production Projects -- 2.4 Construction and Infrastructure Projects -- 2.5 Investment Projects -- 2.6 Defense Projects -- 2.7 Summary of Problem Descriptions -- 3 Problem Formulation -- 3.1 Basic Problem Formulation -- 3.2 Public and Social Projects -- 3.3 Software/IT Projects -- 3.4 R& -- D and Production Projects -- 3.5 Construction and Infrastructure Projects -- 3.6 Investment Projects -- 3.7 Defense Projects -- 3.8 Summary of Formulations -- 4 Solution Approaches -- 4.1 Public and Social Projects -- 4.2 Software/IT Projects -- 4.3 R& -- D and Production Projects -- 4.4 Construction and Infrastructure Projects -- 4.5 Investment Projects -- 4.6 Defense Projects -- 4.7 Summary of Solution Approaches -- 5 Summary -- References -- An Introduction to Evolutionary and Memetic Algorithms for Parameter Optimization -- 1 Introduction -- 2 Comparison Between EAs and Classical Optimization Methods -- 2.1 Robustness -- 2.2 Efficiency -- 3 Building Blocks of EAs -- 4 Genetic Algorithm -- 4.1 Initialization -- 4.2 Selection -- 4.3 Crossover -- 4.4 Mutation -- 4.5 Population Update -- 4.6 Stopping Criteria -- 5 Evolution Strategies -- 5.1 Selection -- 5.2 Recombination -- 5.3 Mutation -- 5.4 Adjusting the Mutation Profile -- 6 Evolutionary Programming -- 7 Differential Evolution -- 7.1 Mutation.
7.2 Crossover -- 7.3 Selection -- 7.4 Recent Variants -- 8 Other Relevant Methods -- 9 Memetic Algorithms -- 10 Summary and Conclusions -- References -- An Overall Characterization of the Project Portfolio Optimization Problem and an Approach Based on Evolutionary Algorithms to Address It -- 1 Introduction -- 2 A Review of the Project Portfolio Selection Process -- 2.1 Phases in the Project Portfolio Selection Process -- 2.2 Characterizing a Plausible Project Portfolio Selection Approach -- 3 Problem Statement -- 3.1 Problem Description -- 3.2 An Illustrative Example -- 3.3 Problem Formalization -- 4 An Overall Approach to Project Portfolio Selection -- 4.1 Framework of the Approach -- 4.2 Coping with Imperfect Information on the Criteria Impacts -- 4.3 Representing Preferences -- 4.4 Using Evolutionary Algorithms to Optimize Portfolios -- 5 Conclusions and Future Work -- References -- A New Model for the Project Portfolio Selection and Scheduling Problem with Defence Capability Options -- 1 Introduction -- 2 Background -- 2.1 The Knapsack Problem -- 2.2 Evolutionary Meta-Heuristic Approaches -- 2.3 Differential Evolution -- 3 Problem Formulation -- 3.1 Analysis of Problem Formulation -- 3.2 NP-Hardness -- 3.3 Sample Problem Data -- 3.4 Similarity to Existing Problems -- 4 Heuristic Solution Approach -- 5 Experimental Design -- 5.1 Synthetic Problem Instance Generation -- 5.2 Problem Instances -- 5.3 Algorithmic Control Parameters -- 5.4 Statistical Analysis -- 6 Results -- 6.1 Validating the Solution Approaches -- 6.2 Effect of Seeding -- 6.3 Main Results -- 6.4 Summary -- 7 Conclusions and Future Work -- References -- Analysis of New Approaches Used in Portfolio Optimization: A Systematic Literature Review -- 1 Introduction -- 2 Research Method -- 2.1 Research Questions -- 2.2 Search Sources -- 2.3 Inclusion Criteria and Exclusion Criteria. 2.4 Data Extraction -- 2.5 Data Analysis -- 2.6 Deviations in the Protocol -- 3 Results -- 3.1 Journal Impact Factor -- 3.2 Classification of Methods -- 4 Discussion -- 4.1 Which Key Methods, Tools, or Optimization Techniques Are Used in the Portfolio Optimization Problem? -- 4.2 Which Realistic Constraints Are Used? -- 4.3 What Type of Analysis Is Done Regarding the Stock: Fundamental, Technical, or Mixed (Fundamental and Technical)? -- 4.4 Which Software/Programming Languages Are Used? -- 4.5 Recent Researches -- 5 Conclusions -- 6 Research Gaps -- References -- A Temporal Knapsack Approach to Defence Portfolio Selection -- 1 Introduction -- 2 Project and Portfolio Selection in DoD -- 3 Problem Formulation -- 3.1 Inherent Solution Challenges -- 4 Implementation in Microsoft Excel® -- 5 Performance and Budget-Value Trade-Offs -- 5.1 Relaxation -- 5.2 Value-Slack Trade-Offs and the Issue of Sensitivity -- 6 Discussion and Future Work -- References -- A Decision Support System for Planning Portfolios of Supply Chain Improvement Projects in the Semiconductor Industry -- 1 Introduction -- 2 Literature -- 3 Decision Making Framework and Integer Programming Model -- 4 Decision Support System -- 5 Case Study -- 6 Conclusions and Future Research -- References -- Index. |
| Record Nr. | UNINA-9910523747903321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Genetic programming for production scheduling : an evolutionary learning approach / / Fangfang Zhang [and three others]
| Genetic programming for production scheduling : an evolutionary learning approach / / Fangfang Zhang [and three others] |
| Autore | Zhang Fangfang <1966-> |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (357 pages) |
| Disciplina | 658.53 |
| Collana | Machine Learning: Foundations, Methodologies, and Applications |
| Soggetto topico |
Computer scheduling
Genetic programming (Computer science) Machine learning |
| ISBN | 981-16-4859-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464380403316 |
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Zhang Fangfang <1966->
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| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Genetic programming for production scheduling : an evolutionary learning approach / / Fangfang Zhang [and three others]
| Genetic programming for production scheduling : an evolutionary learning approach / / Fangfang Zhang [and three others] |
| Autore | Zhang Fangfang <1966-> |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (357 pages) |
| Disciplina | 658.53 |
| Collana | Machine Learning: Foundations, Methodologies, and Applications |
| Soggetto topico |
Computer scheduling
Genetic programming (Computer science) Machine learning |
| ISBN | 981-16-4859-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910508466203321 |
|
Zhang Fangfang <1966->
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| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Real-time systems scheduling 1 : fundamentals / / edited by Maryline Chetto
| Real-time systems scheduling 1 : fundamentals / / edited by Maryline Chetto |
| Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (310 p.) |
| Disciplina | 001.64404 |
| Collana | Networks and Telecommunications Series |
| Soggetto topico |
Real-time control
Computer scheduling Real-time data processing |
| ISBN |
1-118-98438-2
1-118-98441-2 1-118-98440-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover page; Half-Title page; Title page; Copyright page; Contents; Preface; List of Figures; List of Tables; 1: Introduction to Real-time Scheduling; 1.1. Real-time systems; 1.2. Material architectures; 1.2.1. CPUs; 1.2.2. Communication networks; 1.2.3. Sensors and actuators; 1.3. Operating systems; 1.3.1. Generalities; 1.3.2. Real-time operating systems; 1.3.3. Primitives provided by the kernel; 1.4. Scheduling; 1.4.1. Online and offline scheduling; 1.4.2. Task characterization; 1.4.3. Criticality; 1.4.4. Metrics related to scheduling; 1.4.5. Practical factors
1.4.5.1. Preemptibility and mutual exclusion1.4.5.2. Precedence constraints; 1.4.5.3. Activation jitter; 1.4.5.4. Suspensions; 1.4.6. Multi-core scheduling; 1.5. Real-time application modeling and analysis; 1.5.1. Modeling; 1.5.2. Analysis; 1.6. System architecture and schedulability; 2: Uniprocessor Architecture Solutions; 2.1. Introduction; 2.2. Characterization of a scheduling problem; 2.2.1. Task model; 2.2.2. Temporal constraint models; 2.2.3. Scheduling model; 2.2.4. Concepts and notations; 2.3. Scheduling algorithms/optimality; 2.3.1. FP fixed-job priority algorithms 2.3.2. JFP algorithms2.3.2.1. EDF Scheduling: [LIU 73]; 2.3.2.2. FIFO scheduling:; 2.3.3. Dynamic priority algorithms; 2.4. Busy periods and worst-case scenarios; 2.4.1. Busy periods; 2.4.2. Worst-case scenarios; 2.5. Feasibility conditions; 2.5.1. FP feasibility conditions; 2.5.2. JFP feasibility conditions; 2.5.2.1. Feasibility conditions for EDF; 2.5.2.2. FIFO feasibility conditions; 2.6. Sensitivity analysis; 2.6.1. Sensitivity of WCETs; 2.6.1.1. Sensitivity of WCETs with FP; 2.6.1.1.1. Determination of the C-space with FP scheduling; 2.6.1.1.2. Margin on the WCETs with FP scheduling 2.6.1.2. Sensitivity of WCETs with EDF2.6.1.2.1. Determination of the C-space with EDF scheduling; 2.6.1.2.2. Margin on the WCETs with EDF scheduling; 2.6.2. Sensitivity of periods; 2.6.3. Sensitivity of deadlines; 2.6.3.1. Determination of the D-space with EDF; 2.6.3.2. Deadline modification with EDF; 2.7. Conclusion; 2.8. Bibliography; 3: Multiprocessor Architecture Solutions; 3.1. Introduction; 3.1.1. Application modeling; 3.1.2. Platform modeling; 3.2. Scheduler classification; 3.2.1. Online and offline schedulers; 3.2.2. Task preemption and migration; 3.2.3. Priorities of tasks 3.2.4. Classification3.2.4.1. Definition; 3.3. Properties of schedulers; 3.3.1. Qualitative properties; 3.3.1.1. Comparability of algorithms; 3.3.1.2. Optimality and existence of online algorithms; 3.3.1.3. Predictability, sustainability and scheduling anomalies; 3.3.2. Quantitative properties; 3.3.2.1. Utilization bounds; 3.3.2.2. Resource augmentation ratio; 3.4. Partitioned scheduling; 3.4.1. Partitioning algorithms; 3.4.2. Evaluation of partitioning algorithms; 3.4.2.1. Asymptotic ratio of the number of processor; 3.4.2.2. Utilization bounds; 3.4.2.3. Resource augmentation ratio 3.5. Global scheduling |
| Record Nr. | UNINA-9910132163803321 |
| London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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