2024 : 4 : 14
Sadoon Azizi

Sadoon Azizi

Academic rank: Associate Professor
Education: PhD.
ScopusId: 65456
Faculty: Faculty of Engineering
Address: Room No. 206, Department of Computer Engineering and Information Technology , Faculty of Engineering , University of Kurdistan, Sanandaj, Iran.


Energy and network aware virtual machine placement for sustainable data centers
Internet of Things (IoT), Cloud computing, Cloud Data Center (CDC), Virtual Machine Placement (VMP), Power consumption, Network traffic, Resource wastage.
Researchers Shvan Omer Salih(Student)، Sadoon Azizi(PrimaryAdvisor)


Recent telecommunication paradigms, such as big data, Internet of Things (IoT), and machine learning, are encountering with a tremendous number of complex applications that requiring 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) 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, particularly for large-scale CDCs. In this research, motivated by this, we propose a priority and traffic-aware algorithm for efficiently solving the VM placement problem. Our algorithm aims to jointly minimize power consumption, resource wastage and the consumption of network resources in a large-scale, heterogeneous CDC. To validate the effectiveness of our algorithm, we have conducted extensive experiments and verify that the proposed approach achieves better performance compared to the state-of-the-art.