Abstract
The recent intensifying computational demands from multinationals enterprises have motivated the magnification for large complicated cloud data centers (DCs) to handle business, monetary, Internet and commercial applications of different enterprises. A cloud data center encompasses thousands of physical server nodes arranged in racks along with network, storage, and other equipment that entails an extensive amount of power to process different processes and amenities required by business firms. More and more cloud data centers are turning for adapting to dynamics of user demands and reducing operational cost. Therefore, in this paper, we propose a user demand-aware (UDA) method for servers selection and a modified adaptive large neighbourhood search (MALNS) algorithm for dynamic service consolidation. Experiments based on real-world datasets demonstrate our approach outperformed conventional strategies in terms of multiple metrics.
This work is supported by Graduate Research and Innovation Foundations of Chongqing, China under Grant Nos.CYS21062 and CYS22112. This work is supported by National Science Foundations under Grant Nos. 6217206 and 62162036.
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Acknowledgment
This work is supported National Key R &D Program of China with Grant number 2018YFB1403602, Chongqing Technological innovation foundations with Grant numbers cstc2019jscx-msxm0652 and cstc2019jscx-fxyd0385, Chongqing Key RD project with Grant number cstc2018jszx-cyzdX0081, Jiangxi Key RD project with Grant number 20181ACE50029. Sponsored by technological program organized by SGCC (No.52094020000U). Technology Innovation and Application Development Foundation of Chongqing under Grant cstc2020jscx-gksbX0010.
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Lv, Y. et al. (2022). A Novel Approach for User Demand-aware Data Center Construction and Service Consolidation. In: Zhang, Y., Zhang, LJ. (eds) Web Services – ICWS 2022. ICWS 2022. Lecture Notes in Computer Science, vol 13736. Springer, Cham. https://doi.org/10.1007/978-3-031-23579-5_4
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