Computational intelligence for green cloud computing and digital waste management:
In the digital age, the relentless growth of data centers and cloud computing has given rise to a pressing dilemma. The power consumption of these facilities is spiraling out of control, emitting massive amounts of carbon dioxide, and contributing to the ever-increasing threat of global warming. Stu...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2024]
|
| Schriftenreihe: | Advances in computational intelligence and robotics (ACIR) book series
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 Volltext |
| Zusammenfassung: | In the digital age, the relentless growth of data centers and cloud computing has given rise to a pressing dilemma. The power consumption of these facilities is spiraling out of control, emitting massive amounts of carbon dioxide, and contributing to the ever-increasing threat of global warming. Studies show that data centers alone are responsible for nearly eighty million metric tons of CO2 emissions worldwide, and this figure is poised to skyrocket to a staggering 8000 TWh by 2030 unless we revolutionize our approach to computing resource management. The root of this problem lies in inefficient resource allocation within cloud environments, as service providers often over-provision computing resources to avoid Service Level Agreement (SLA) violations, leading to both underutilization of resources and a significant increase in energy consumption.Computational Intelligence for Green Cloud Computing and Digital Waste Management stands as a beacon of hope in the face of the environmental and technological challenges we face. It introduces the concept of green computing, dedicated to creating an eco-friendly computing environment. The book explores innovative, intelligent resource management methods that can significantly reduce the power consumption of data centers. From machine learning and deep learning solutions to green virtualization technologies, this comprehensive guide explores innovative approaches to address the pressing challenges of green computing. Whether you are an educator teaching about green computing, an environmentalist seeking sustainability solutions, an industry professional navigating the digital landscape, a resolute researcher, or simply someone intrigued by the intersection of technology and sustainability, this book offers an indispensable resource. |
| Beschreibung: | 1 Online-Ressource (xxi, 405 Seiten) Illustrationen |
| ISBN: | 9798369315538 |
| DOI: | 10.4018/979-8-3693-1552-1 |
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| id | DE-604.BV049645344 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T23:39:47Z |
| indexdate | 2024-08-24T01:06:59Z |
| institution | BVB |
| isbn | 9798369315538 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034988891 |
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| spelling | Computational intelligence for green cloud computing and digital waste management K. Dinesh Kumar, Vijayakumar Varadarajan, Nidal Nasser, Ravi Kumar Poluru Hershey PA, USA IGI Global [2024] © 2024 1 Online-Ressource (xxi, 405 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Advances in computational intelligence and robotics (ACIR) book series In the digital age, the relentless growth of data centers and cloud computing has given rise to a pressing dilemma. The power consumption of these facilities is spiraling out of control, emitting massive amounts of carbon dioxide, and contributing to the ever-increasing threat of global warming. Studies show that data centers alone are responsible for nearly eighty million metric tons of CO2 emissions worldwide, and this figure is poised to skyrocket to a staggering 8000 TWh by 2030 unless we revolutionize our approach to computing resource management. The root of this problem lies in inefficient resource allocation within cloud environments, as service providers often over-provision computing resources to avoid Service Level Agreement (SLA) violations, leading to both underutilization of resources and a significant increase in energy consumption.Computational Intelligence for Green Cloud Computing and Digital Waste Management stands as a beacon of hope in the face of the environmental and technological challenges we face. It introduces the concept of green computing, dedicated to creating an eco-friendly computing environment. The book explores innovative, intelligent resource management methods that can significantly reduce the power consumption of data centers. From machine learning and deep learning solutions to green virtualization technologies, this comprehensive guide explores innovative approaches to address the pressing challenges of green computing. Whether you are an educator teaching about green computing, an environmentalist seeking sustainability solutions, an industry professional navigating the digital landscape, a resolute researcher, or simply someone intrigued by the intersection of technology and sustainability, this book offers an indispensable resource. Business enterprises Environmental aspecdts Green technology Information technology Environmental aspects Technological innovations Environmental aspects Dinesh Kumar, Kotnees (DE-588)1269719823 edt Varadarajan, Vijayakumar edt Nasser, Nidal edt Poluru, Ravi Kumar edt Erscheint auch als Druck-Ausgabe 979-8-3693-1552-1 https://doi.org/10.4018/979-8-3693-1552-1 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Computational intelligence for green cloud computing and digital waste management Business enterprises Environmental aspecdts Green technology Information technology Environmental aspects Technological innovations Environmental aspects |
| title | Computational intelligence for green cloud computing and digital waste management |
| title_auth | Computational intelligence for green cloud computing and digital waste management |
| title_exact_search | Computational intelligence for green cloud computing and digital waste management |
| title_exact_search_txtP | Computational intelligence for green cloud computing and digital waste management |
| title_full | Computational intelligence for green cloud computing and digital waste management K. Dinesh Kumar, Vijayakumar Varadarajan, Nidal Nasser, Ravi Kumar Poluru |
| title_fullStr | Computational intelligence for green cloud computing and digital waste management K. Dinesh Kumar, Vijayakumar Varadarajan, Nidal Nasser, Ravi Kumar Poluru |
| title_full_unstemmed | Computational intelligence for green cloud computing and digital waste management K. Dinesh Kumar, Vijayakumar Varadarajan, Nidal Nasser, Ravi Kumar Poluru |
| title_short | Computational intelligence for green cloud computing and digital waste management |
| title_sort | computational intelligence for green cloud computing and digital waste management |
| topic | Business enterprises Environmental aspecdts Green technology Information technology Environmental aspects Technological innovations Environmental aspects |
| topic_facet | Business enterprises Environmental aspecdts Green technology Information technology Environmental aspects Technological innovations Environmental aspects |
| url | https://doi.org/10.4018/979-8-3693-1552-1 |
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