Machine learning for cloud management:
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- List of Figures -- List of Tables -- Preface -- Author -- Abbreviations -- Chapter 1: Introduction -- 1.1. CLOUD COMPUTING -- 1.2. CLOUD MANAGEMENT -- 1.2.1. Workload Forecasting -- 1.2.2. Load Balancing -- 1.3. MACHINE...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press, Taylor & Francis Group
2022
|
| Zusammenfassung: | Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- List of Figures -- List of Tables -- Preface -- Author -- Abbreviations -- Chapter 1: Introduction -- 1.1. CLOUD COMPUTING -- 1.2. CLOUD MANAGEMENT -- 1.2.1. Workload Forecasting -- 1.2.2. Load Balancing -- 1.3. MACHINE LEARNING -- 1.3.1. Artificial Neural Network -- 1.3.2. Metaheuristic Optimization Algorithms -- 1.3.3. Time Series Analysis -- 1.4. WORKLOAD TRACES -- 1.5. EXPERIMENTAL SETUP & -- EVALUATION METRICS -- 1.6. STATISTICAL TESTS -- 1.6.1. Wilcoxon Signed-Rank Test -- 1.6.2. Friedman Test -- 1.6.3. Finner Test -- Chapter 2: Time Series Models -- 2.1. AUTOREGRESSION -- 2.2. MOVING AVERAGE -- 2.3. AUTOREGRESSIVE MOVING AVERAGE -- 2.4. AUTOREGRESSIVE INTEGRATED MOVING AVERAGE -- 2.5. EXPONENTIAL SMOOTHING -- 2.6. EXPERIMENTAL ANALYSIS -- 2.6.1. Forecast Evaluation -- 2.6.2. Statistical Analysis -- Chapter 3: Error Preventive Time Series Models -- 3.1. ERROR PREVENTION SCHEME -- 3.2. PREDICTIONS IN ERROR RANGE -- 3.3. MAGNITUDE OF PREDICTIONS -- 3.4. ERROR PREVENTIVE TIME SERIES MODELS -- 3.4.1. Error Preventive Autoregressive Moving Average -- 3.4.2. Error Preventive Autoregressive Integrated Moving Average -- 3.4.3. Error Preventive Exponential Smoothing -- 3.5. PERFORMANCE EVALUATION -- 3.5.1. Comparative Analysis -- 3.5.2. Statistical Analysis -- Chapter 4: Metaheuristic Optimization Algorithms -- 4.1. SWARM INTELLIGENCE ALGORITHMS IN PREDICTIVE MODEL -- 4.1.1. Particle Swarm Optimization -- 4.1.2. Firefly Search Algorithm -- 4.2. EVOLUTIONARY ALGORITHMS IN PREDICTIVE MODEL -- 4.2.1. Genetic Algorithm -- 4.2.2. Differential Evolution -- 4.3. NATURE INSPIRED ALGORITHMS IN PREDICTIVE MODEL -- 4.3.1. Harmony Search -- 4.3.2. Teaching Learning Based Optimization -- 4.4. PHYSICS INSPIRED ALGORITHMS IN PREDICTIVE MODEL -- 4.4.1. Gravitational Search Algorithm |
| Beschreibung: | xxvi, 172 Seiten Illustrationen, Diagramme |
| ISBN: | 9780367622565 9780367626488 |
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| 100 | 1 | |a Kumar, Jitendra |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Machine learning for cloud management |c Jitendra Kumar, Ashutosh Kumar Singh, Anand Mohan, Rajkumar Buyya |
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press, Taylor & Francis Group |c 2022 | |
| 300 | |a xxvi, 172 Seiten |b Illustrationen, Diagramme | ||
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| 520 | 3 | |a Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- List of Figures -- List of Tables -- Preface -- Author -- Abbreviations -- Chapter 1: Introduction -- 1.1. CLOUD COMPUTING -- 1.2. CLOUD MANAGEMENT -- 1.2.1. Workload Forecasting -- 1.2.2. Load Balancing -- 1.3. MACHINE LEARNING -- 1.3.1. Artificial Neural Network -- 1.3.2. Metaheuristic Optimization Algorithms -- 1.3.3. Time Series Analysis -- 1.4. WORKLOAD TRACES -- 1.5. EXPERIMENTAL SETUP & -- EVALUATION METRICS -- 1.6. STATISTICAL TESTS -- 1.6.1. Wilcoxon Signed-Rank Test -- 1.6.2. Friedman Test -- 1.6.3. Finner Test -- Chapter 2: Time Series Models -- 2.1. AUTOREGRESSION -- 2.2. MOVING AVERAGE -- 2.3. AUTOREGRESSIVE MOVING AVERAGE -- 2.4. AUTOREGRESSIVE INTEGRATED MOVING AVERAGE -- 2.5. EXPONENTIAL SMOOTHING -- 2.6. EXPERIMENTAL ANALYSIS -- 2.6.1. Forecast Evaluation -- 2.6.2. Statistical Analysis -- Chapter 3: Error Preventive Time Series Models -- 3.1. ERROR PREVENTION SCHEME -- 3.2. PREDICTIONS IN ERROR RANGE -- 3.3. MAGNITUDE OF PREDICTIONS -- 3.4. ERROR PREVENTIVE TIME SERIES MODELS -- 3.4.1. Error Preventive Autoregressive Moving Average -- 3.4.2. Error Preventive Autoregressive Integrated Moving Average -- 3.4.3. Error Preventive Exponential Smoothing -- 3.5. PERFORMANCE EVALUATION -- 3.5.1. Comparative Analysis -- 3.5.2. Statistical Analysis -- Chapter 4: Metaheuristic Optimization Algorithms -- 4.1. SWARM INTELLIGENCE ALGORITHMS IN PREDICTIVE MODEL -- 4.1.1. Particle Swarm Optimization -- 4.1.2. Firefly Search Algorithm -- 4.2. EVOLUTIONARY ALGORITHMS IN PREDICTIVE MODEL -- 4.2.1. Genetic Algorithm -- 4.2.2. Differential Evolution -- 4.3. NATURE INSPIRED ALGORITHMS IN PREDICTIVE MODEL -- 4.3.1. Harmony Search -- 4.3.2. Teaching Learning Based Optimization -- 4.4. PHYSICS INSPIRED ALGORITHMS IN PREDICTIVE MODEL -- 4.4.1. Gravitational Search Algorithm | |
| 700 | 1 | |a Singh, Ashutosh Kumar |e Verfasser |0 (DE-588)1223483509 |4 aut | |
| 700 | 1 | |a Mohan, Anand |e Verfasser |4 aut | |
| 700 | 1 | |a Buyya, Rajkumar |d 1970- |e Verfasser |0 (DE-588)122453905 |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-00-047661-3 |
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| id | DE-604.BV047668939 |
| illustrated | Illustrated |
| index_date | 2024-07-03T18:54:43Z |
| indexdate | 2024-07-10T09:18:49Z |
| institution | BVB |
| isbn | 9780367622565 9780367626488 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033053631 |
| oclc_num | 1277283513 |
| open_access_boolean | |
| owner | DE-29T |
| owner_facet | DE-29T |
| physical | xxvi, 172 Seiten Illustrationen, Diagramme |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | CRC Press, Taylor & Francis Group |
| record_format | marc |
| spelling | Kumar, Jitendra Verfasser aut Machine learning for cloud management Jitendra Kumar, Ashutosh Kumar Singh, Anand Mohan, Rajkumar Buyya Boca Raton ; London ; New York CRC Press, Taylor & Francis Group 2022 xxvi, 172 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- List of Figures -- List of Tables -- Preface -- Author -- Abbreviations -- Chapter 1: Introduction -- 1.1. CLOUD COMPUTING -- 1.2. CLOUD MANAGEMENT -- 1.2.1. Workload Forecasting -- 1.2.2. Load Balancing -- 1.3. MACHINE LEARNING -- 1.3.1. Artificial Neural Network -- 1.3.2. Metaheuristic Optimization Algorithms -- 1.3.3. Time Series Analysis -- 1.4. WORKLOAD TRACES -- 1.5. EXPERIMENTAL SETUP & -- EVALUATION METRICS -- 1.6. STATISTICAL TESTS -- 1.6.1. Wilcoxon Signed-Rank Test -- 1.6.2. Friedman Test -- 1.6.3. Finner Test -- Chapter 2: Time Series Models -- 2.1. AUTOREGRESSION -- 2.2. MOVING AVERAGE -- 2.3. AUTOREGRESSIVE MOVING AVERAGE -- 2.4. AUTOREGRESSIVE INTEGRATED MOVING AVERAGE -- 2.5. EXPONENTIAL SMOOTHING -- 2.6. EXPERIMENTAL ANALYSIS -- 2.6.1. Forecast Evaluation -- 2.6.2. Statistical Analysis -- Chapter 3: Error Preventive Time Series Models -- 3.1. ERROR PREVENTION SCHEME -- 3.2. PREDICTIONS IN ERROR RANGE -- 3.3. MAGNITUDE OF PREDICTIONS -- 3.4. ERROR PREVENTIVE TIME SERIES MODELS -- 3.4.1. Error Preventive Autoregressive Moving Average -- 3.4.2. Error Preventive Autoregressive Integrated Moving Average -- 3.4.3. Error Preventive Exponential Smoothing -- 3.5. PERFORMANCE EVALUATION -- 3.5.1. Comparative Analysis -- 3.5.2. Statistical Analysis -- Chapter 4: Metaheuristic Optimization Algorithms -- 4.1. SWARM INTELLIGENCE ALGORITHMS IN PREDICTIVE MODEL -- 4.1.1. Particle Swarm Optimization -- 4.1.2. Firefly Search Algorithm -- 4.2. EVOLUTIONARY ALGORITHMS IN PREDICTIVE MODEL -- 4.2.1. Genetic Algorithm -- 4.2.2. Differential Evolution -- 4.3. NATURE INSPIRED ALGORITHMS IN PREDICTIVE MODEL -- 4.3.1. Harmony Search -- 4.3.2. Teaching Learning Based Optimization -- 4.4. PHYSICS INSPIRED ALGORITHMS IN PREDICTIVE MODEL -- 4.4.1. Gravitational Search Algorithm Singh, Ashutosh Kumar Verfasser (DE-588)1223483509 aut Mohan, Anand Verfasser aut Buyya, Rajkumar 1970- Verfasser (DE-588)122453905 aut Erscheint auch als Online-Ausgabe 978-1-00-047661-3 |
| spellingShingle | Kumar, Jitendra Singh, Ashutosh Kumar Mohan, Anand Buyya, Rajkumar 1970- Machine learning for cloud management |
| title | Machine learning for cloud management |
| title_auth | Machine learning for cloud management |
| title_exact_search | Machine learning for cloud management |
| title_exact_search_txtP | Machine learning for cloud management |
| title_full | Machine learning for cloud management Jitendra Kumar, Ashutosh Kumar Singh, Anand Mohan, Rajkumar Buyya |
| title_fullStr | Machine learning for cloud management Jitendra Kumar, Ashutosh Kumar Singh, Anand Mohan, Rajkumar Buyya |
| title_full_unstemmed | Machine learning for cloud management Jitendra Kumar, Ashutosh Kumar Singh, Anand Mohan, Rajkumar Buyya |
| title_short | Machine learning for cloud management |
| title_sort | machine learning for cloud management |
| work_keys_str_mv | AT kumarjitendra machinelearningforcloudmanagement AT singhashutoshkumar machinelearningforcloudmanagement AT mohananand machinelearningforcloudmanagement AT buyyarajkumar machinelearningforcloudmanagement |