Workload modeling for computer systems performance evaluation:
Reliable performance evaluations require the use of representative workloads. This is no easy task since modern computer systems and their workloads are complex, with many interrelated attributes and complicated structures. Experts often use sophisticated mathematics to analyze and describe workload...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2015
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | Reliable performance evaluations require the use of representative workloads. This is no easy task since modern computer systems and their workloads are complex, with many interrelated attributes and complicated structures. Experts often use sophisticated mathematics to analyze and describe workload models, making these models difficult for practitioners to grasp. This book aims to close this gap by emphasizing the intuition and the reasoning behind the definitions and derivations related to the workload models. It provides numerous examples from real production systems, with hundreds of graphs. Using this book, readers will be able to analyze collected workload data and clean it if necessary, derive statistical models that include skewed marginal distributions and correlations, and consider the need for generative models and feedback from the system. The descriptive statistics techniques covered are also useful for other domains |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xv, 551 pages) |
| ISBN: | 9781139939690 |
| DOI: | 10.1017/CBO9781139939690 |
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| 505 | 8 | |a Machine generated contents note: 1. Introduction; 2. Workload data; 3. Statistical distributions; 4. Fitting distributions to data; 5. Heavy tails; 6. Correlations in workloads; 7. Self-similarity and long-range dependence; 8. Hierarchical generative models; 9. Case studies; 10. Summary and outlook | |
| 520 | |a Reliable performance evaluations require the use of representative workloads. This is no easy task since modern computer systems and their workloads are complex, with many interrelated attributes and complicated structures. Experts often use sophisticated mathematics to analyze and describe workload models, making these models difficult for practitioners to grasp. This book aims to close this gap by emphasizing the intuition and the reasoning behind the definitions and derivations related to the workload models. It provides numerous examples from real production systems, with hundreds of graphs. Using this book, readers will be able to analyze collected workload data and clean it if necessary, derive statistical models that include skewed marginal distributions and correlations, and consider the need for generative models and feedback from the system. The descriptive statistics techniques covered are also useful for other domains | ||
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Datensatz im Suchindex
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| author | Feitelson, Dror G. |
| author_facet | Feitelson, Dror G. |
| author_role | aut |
| author_sort | Feitelson, Dror G. |
| author_variant | d g f dg dgf |
| building | Verbundindex |
| bvnumber | BV043940419 |
| classification_rvk | ST 260 |
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| contents | Machine generated contents note: 1. Introduction; 2. Workload data; 3. Statistical distributions; 4. Fitting distributions to data; 5. Heavy tails; 6. Correlations in workloads; 7. Self-similarity and long-range dependence; 8. Hierarchical generative models; 9. Case studies; 10. Summary and outlook |
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| dewey-full | 004 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004 |
| dewey-search | 004 |
| dewey-sort | 14 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1017/CBO9781139939690 |
| format | Electronic eBook |
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| id | DE-604.BV043940419 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:13Z |
| institution | BVB |
| isbn | 9781139939690 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029349389 |
| oclc_num | 967758934 |
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| owner_facet | DE-12 DE-92 |
| physical | 1 online resource (xv, 551 pages) |
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| publishDate | 2015 |
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| publisher | Cambridge University Press |
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| spelling | Feitelson, Dror G. Verfasser aut Workload modeling for computer systems performance evaluation Dror G. Feitelson, The Hebrew University of Jerusalem Cambridge Cambridge University Press 2015 1 online resource (xv, 551 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Machine generated contents note: 1. Introduction; 2. Workload data; 3. Statistical distributions; 4. Fitting distributions to data; 5. Heavy tails; 6. Correlations in workloads; 7. Self-similarity and long-range dependence; 8. Hierarchical generative models; 9. Case studies; 10. Summary and outlook Reliable performance evaluations require the use of representative workloads. This is no easy task since modern computer systems and their workloads are complex, with many interrelated attributes and complicated structures. Experts often use sophisticated mathematics to analyze and describe workload models, making these models difficult for practitioners to grasp. This book aims to close this gap by emphasizing the intuition and the reasoning behind the definitions and derivations related to the workload models. It provides numerous examples from real production systems, with hundreds of graphs. Using this book, readers will be able to analyze collected workload data and clean it if necessary, derive statistical models that include skewed marginal distributions and correlations, and consider the need for generative models and feedback from the system. The descriptive statistics techniques covered are also useful for other domains Mathematisches Modell Electronic digital computers / Evaluation Electronic digital computers / Workload / Mathematical models Leistungsbewertung (DE-588)4167271-9 gnd rswk-swf Lastprofil (DE-588)4333878-1 gnd rswk-swf Lastprofil (DE-588)4333878-1 s Leistungsbewertung (DE-588)4167271-9 s DE-604 Erscheint auch als Druckausgabe 978-1-107-07823-9 https://doi.org/10.1017/CBO9781139939690 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Feitelson, Dror G. Workload modeling for computer systems performance evaluation Machine generated contents note: 1. Introduction; 2. Workload data; 3. Statistical distributions; 4. Fitting distributions to data; 5. Heavy tails; 6. Correlations in workloads; 7. Self-similarity and long-range dependence; 8. Hierarchical generative models; 9. Case studies; 10. Summary and outlook Mathematisches Modell Electronic digital computers / Evaluation Electronic digital computers / Workload / Mathematical models Leistungsbewertung (DE-588)4167271-9 gnd Lastprofil (DE-588)4333878-1 gnd |
| subject_GND | (DE-588)4167271-9 (DE-588)4333878-1 |
| title | Workload modeling for computer systems performance evaluation |
| title_auth | Workload modeling for computer systems performance evaluation |
| title_exact_search | Workload modeling for computer systems performance evaluation |
| title_full | Workload modeling for computer systems performance evaluation Dror G. Feitelson, The Hebrew University of Jerusalem |
| title_fullStr | Workload modeling for computer systems performance evaluation Dror G. Feitelson, The Hebrew University of Jerusalem |
| title_full_unstemmed | Workload modeling for computer systems performance evaluation Dror G. Feitelson, The Hebrew University of Jerusalem |
| title_short | Workload modeling for computer systems performance evaluation |
| title_sort | workload modeling for computer systems performance evaluation |
| topic | Mathematisches Modell Electronic digital computers / Evaluation Electronic digital computers / Workload / Mathematical models Leistungsbewertung (DE-588)4167271-9 gnd Lastprofil (DE-588)4333878-1 gnd |
| topic_facet | Mathematisches Modell Electronic digital computers / Evaluation Electronic digital computers / Workload / Mathematical models Leistungsbewertung Lastprofil |
| url | https://doi.org/10.1017/CBO9781139939690 |
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