ESP-VDCE: Energy, SLA, and Price-driven Virtual Data Center Embedding

Kuljeet Kaur, Sahil Garg, Georges Kaddoum, Song Guo

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review


In this work, we present a multi-objective Virtual Data Center Embedding (VDCE) scheme for multi-domain cloud computing setups. The primary focus of the proposed scheme is on -Energy minimization, SLA assurance, and reduced energy Prices; and is named as ESP-driven VDCE. In the preliminary phase of this work, we formulate the proposed scheme as an optimization problem. However, due to the intractability of the formulated problem, its is remodelled and divided into three sub-problems (SP), i.e., data center identification, virtual machine mapping, and virtual link embedding. The output of one SP serves as an input to the next SP, such that the search space can be significantly narrowed. Finally, the proposed approach for VDCE is extensively validated against other algorithms. The obtained results indicate that the proposed ESP-driven VDCE approach achieves almost 7.6% more energy-aware embeddings with 11.5% higher SLA levels and approximately 23% lower energy expenses.
Original languageEnglish
Number of pages7
Publication statusPublished - Jun 2020
Event2020 IEEE International Conference on Communications (ICC 2020) - Dublin, Ireland
Duration: 7 Jun 202011 Jun 2020


Conference2020 IEEE International Conference on Communications (ICC 2020)

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