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Obiekt
Tytuł: CluM: A clustering-cum-Markov model for resource prediction in a data center
Creator:
Govindarajan, Madhupriya ; Selvaraj, Mercy Shalinie ; Ravi, Nagarathna
Date:
Resource Type:
Contributor:
Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.
Group publication title:
Abstract:
High-end data centers are required to process the user requests and provide them with a better quality of service. The prominent issues in building a sustainable data center are reduced carbon footprint, dynamic capacity planning to reduce resource provisioning time and cost, minimized virtual machine migration to prevent higher downtime and enhanced return on investment and resource utilization. ; Realizing true elasticity will be a solution for these issues. Better elasticity can result if the data center is aware of the workload before its entry. Hence, the data center has to have a predictive model to forecast the resource requirements before the arrival of the workload. We propose a novel methodology called clusteringcum- Markov to predict the workload resource requirements proactively. ; It runs in the data center`s controller and collects the statistics of the incoming workload. It characterizes the workload and predicts the necessary resources two-time slots ahead. We evaluate the modle in our data center and also with the benchmark Google Workload dataset. The results are compared with the state-of-the-art solutions based on various metrics, including the environment metrics. The proposed model achieves a 99.01% precision and exhibits optimal values with respect to the environmental metrics.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
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DOI:
Pages:
Source:
AMCS, volume 35, number 3 (2025)
Language:
License CC BY 4.0:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Kolekcje, do których przypisany jest obiekt:
- Digital Library of Zielona Góra > Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Digital Library of Zielona Góra > Repository > Types of work > Articles
- Digital Library of Zielona Góra > Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2025)
Data ostatniej modyfikacji:
Sep 8, 2025
Data dodania obiektu:
Sep 8, 2025
Liczba wyświetleń treści obiektu:
43
Wszystkie dostępne wersje tego obiektu:
https://zbc.uz.zgora.pl/publication/102763
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 35, number 1 (2025)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 35, number 2 (2025)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 35, number 3 (2025)
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| Nazwa wydania | Data |
|---|---|
| CluM: A clustering-cum-Markov model for resource prediction in a data center | Sep 8, 2025 |
Obiekty Podobne
Markowski, Marcin Maksimov, Vyacheslav I. - ed. Mordukhovich, Boris - ed.
Formanowicz, Piotr Tanaś, Krzysztof Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Sas, Jerzy Żołnierek, Andrzej Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Oniszczuk, Walenty Korbicz, Józef (1951- ) - ed.
Tóth, László Kocsor, András Csirik, János Korbicz, Józef (1951- ) - red. Uciński, Dariusz - red.
Rusek, Krzysztof Janowski, Lucjan Papir, Zdzisław Makowski, Ryszard - ed. Zarzycki, Jan - ed.
Marteau, Pierre-Francois Kobusińska, Anna - ed. Hsu, Ching-Hsien - ed. Lin, Kwei-Jay - ed.
Cheng, Chao Wang, Meng Wang, Jiuhe Shao, Junjie Chen, Hongtian Wiśniewski, Remigiusz - ed. Gomes, Luis - ed. Wan, Shaohua - ed.
