Name
Title | ||
|---|---|---|
A priority, power and traffic-aware virtual machine placement of IoT applications in cloud data centers |
Abstract | ||
|---|---|---|
Recent telecommunication paradigms, such as big data, Internet of Things (IoT), ubiquitous edge computing (UEC), and machine learning, are encountering with a tremendous number of complex applications that require different priorities and resource demands. These applications usually consist of a set of virtual machines (VMs) with some predefined traffic load between them. The efficiency of a cloud data center (CDC) as prominent component in UEC significantly depends on the efficiency of its VM placement algorithm applied. However, VM placement is an NP-hard problem and thus there exist practically no optimal solution for this problem. In this paper, motivated by this, we propose a priority, power and traffic-aware approach for efficiently solving the VM placement problem in a CDC. Our approach aims to jointly minimize power consumption, network consumption and resource wastage in a multi-dimensional and heterogeneous CDC. To evaluate the performance of the proposed method, we compared it to the state-of-the-art on a fat-tree topology under various experiments. Results demonstrate that the proposed method is capable of reducing the total network consumption up to 29%, the consumption of power up to 18%, and the wastage of resources up to 68%, compared to the second-best results. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.sysarc.2021.101996 | Journal of Systems Architecture |
Keywords | DocType | Volume |
Cloud computing,Internet of Thing (IoT),Cloud data center (CDC),Virtual machine placement (VMP),Priority-aware,Power consumption,Traffic-aware | Journal | 115 |
ISSN | Citations | PageRank |
1383-7621 | 1 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shvan Omer | 1 | 1 | 0.34 |
| Sadoon Azizi | 2 | 15 | 2.56 |
| Mohammad Shojafar | 3 | 553 | 42.31 |
| R. Tafazolli | 4 | 2969 | 346.10 |