Evolutionary based solutions for green computing:
Gespeichert in:
Weitere beteiligte Personen: | |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Berlin [u.a.]
Springer
2013
|
Schriftenreihe: | Studies in computational intelligence
432 |
Schlagwörter: | |
Links: | https://doi.org/10.1007/978-3-642-30659-4 https://doi.org/10.1007/978-3-642-30659-4 https://doi.org/10.1007/978-3-642-30659-4 https://doi.org/10.1007/978-3-642-30659-4 https://doi.org/10.1007/978-3-642-30659-4 https://doi.org/10.1007/978-3-642-30659-4 https://doi.org/10.1007/978-3-642-30659-4 https://doi.org/10.1007/978-3-642-30659-4 https://doi.org/10.1007/978-3-642-30659-4 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025861906&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
Umfang: | 1 Online-Ressource (XX, 256 p. 91 illus) |
ISBN: | 9783642306594 |
DOI: | 10.1007/978-3-642-30659-4 |
Internformat
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Datensatz im Suchindex
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adam_text | EVOLUTIONARY BASED SOLUTIONS FOR GREEN COMPUTING
/
: 2013
ABSTRACT / INHALTSTEXT
TODAY’S HIGHLY PARAMETERIZED LARGE-SCALE DISTRIBUTED COMPUTING SYSTEMS
MAY BE COMPOSED OF A LARGE NUMBER OF VARIOUS COMPONENTS (COMPUTERS,
DATABASES, ETC) AND MUST PROVIDE A WIDE RANGE OF SERVICES. THE USERS OF
SUCH SYSTEMS, LOCATED AT DIFFERENT (GEOGRAPHICAL OR MANAGERIAL) NETWORK
CLUSTER MAY HAVE A LIMITED ACCESS TO THE SYSTEM’S SERVICES AND
RESOURCES, AND DIFFERENT, OFTEN CONFLICTING, EXPECTATIONS AND
REQUIREMENTS. MOREOVER, THE INFORMATION AND DATA PROCESSED IN SUCH
DYNAMIC ENVIRONMENTS MAY BE INCOMPLETE, IMPRECISE, FRAGMENTARY, AND
OVERLOADING. ALL OF THE ABOVE MENTIONED ISSUES REQUIRE SOME INTELLIGENT
SCALABLE METHODOLOGIES FOR THE MANAGEMENT OF THE WHOLE COMPLEX
STRUCTURE, WHICH UNFORTUNATELY MAY INCREASE THE ENERGY CONSUMPTION OF
SUCH SYSTEMS. THIS BOOK IN ITS EIGHT CHAPTERS, ADDRESSES THE
FUNDAMENTAL ISSUES RELATED TO THE ENERGY USAGE AND THE OPTIMAL LOW-COST
SYSTEM DESIGN IN HIGH PERFORMANCE ``GREEN COMPUTING’’ SYSTEMS. THE
RECENT EVOLUTIONARY AND GENERAL METAHEURISTIC-BASED SOLUTIONS FOR ENERGY
OPTIMIZATION IN DATA PROCESSING, SCHEDULING, RESOURCE ALLOCATION, AND
COMMUNICATION IN MODERN COMPUTATIONAL GRIDS, COULD AND NETWORK COMPUTING
ARE PRESENTED ALONG WITH SEVERAL IMPORTANT CONVENTIONAL TECHNOLOGIES TO
COVER THE HOT TOPICS FROM THE FUNDAMENTAL THEORY OF THE ‘’GREEN
COMPUTING’’ CONCEPT AND TO DESCRIBE THE BASIC ARCHITECTURES OF
SYSTEMS. THIS BOOK POINTS OUT THE POTENTIAL APPLICATION AREAS AND
PROVIDES DETAILED EXAMPLES OF APPLICATION CASE STUDIES IN LOW-ENERGY
COMPUTATIONAL SYSTEMS. THE DEVELOPMENT TRENDS AND OPEN RESEARCH ISSUES
ARE ALSO OUTLINED. ALL OF THOSE TECHNOLOGIES HAVE FORMED THE
FOUNDATION FOR THE GREEN COMPUTING THAT WE KNOW OF TODAY
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
any_adam_object | 1 |
author2 | Khan, Samee Ullah |
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discipline | Informatik |
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id | DE-604.BV040882179 |
illustrated | Not Illustrated |
indexdate | 2024-12-20T16:26:27Z |
institution | BVB |
isbn | 9783642306594 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025861906 |
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physical | 1 Online-Ressource (XX, 256 p. 91 illus) |
psigel | ZDB-2-ENG |
publishDate | 2013 |
publishDateSearch | 2013 |
publishDateSort | 2013 |
publisher | Springer |
record_format | marc |
series | Studies in computational intelligence |
series2 | Studies in computational intelligence |
spellingShingle | Evolutionary based solutions for green computing Studies in computational intelligence Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Renewable energy sources |
title | Evolutionary based solutions for green computing |
title_auth | Evolutionary based solutions for green computing |
title_exact_search | Evolutionary based solutions for green computing |
title_full | Evolutionary based solutions for green computing Samee Ullah Khan ..., eds. |
title_fullStr | Evolutionary based solutions for green computing Samee Ullah Khan ..., eds. |
title_full_unstemmed | Evolutionary based solutions for green computing Samee Ullah Khan ..., eds. |
title_short | Evolutionary based solutions for green computing |
title_sort | evolutionary based solutions for green computing |
topic | Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Renewable energy sources |
topic_facet | Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Renewable energy sources |
url | https://doi.org/10.1007/978-3-642-30659-4 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025861906&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV020822171 |
work_keys_str_mv | AT khansameeullah evolutionarybasedsolutionsforgreencomputing |