A Multidimensional Virtual Resource Allocation Framework With Energy-Aware Physical Resource Mapping for Green Cloud Computing
Yazarlar (2)
Dr. Öğr. Üyesi Ayşenur USLU Sinop Üniversitesi, Türkiye
Ali Haydar Ozer
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (Q2) | ||
| Dergi ISSN | 1532-0626 Dergi Bilgileri (2025) | ||
| Makale Dili | İngilizce | Basım Tarihi | 02-2025 |
| Kabul Tarihi | 13-02-2025 | Yayınlanma Tarihi | 28-02-2025 |
| Cilt / Sayı / Sayfa | 37 / 4 / – | DOI | 10.1002/cpe.70039 |
| Makale Linki | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cpe.70039 | ||
| UAK Araştırma Alanları |
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| Özet |
| Cloud computing has seen a surge in demand, driven by its scalability and cost efficiency. However, the growing energy consumption of data centers poses significant environmental challenges. This study introduces a multidimensional resource allocation model designed to allocate and place virtual resources in an energy‐efficient manner using a combinatorial auction approach. Unlike current approaches, which rely on predefined virtual resources, this model allows users to request virtual resources with specific features and capacities tailored to their workflows. Furthermore, it incorporates a flexible bidding language that supports simultaneous requests for multiple resources using logical AND/OR relations. The model accommodates various data centers, allowing users to indicate their preferred locations. Through a combinatorial optimization problem, the model identifies the most resource‐efficient allocations … |
| Anahtar Kelimeler |
| ant colony optimization | cloud computing | combinatorial auction | energy-aware resource allocation | genetic algorithm | virtual machine placement |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 3 |
| Google Scholar | 5 |