1403/01/09
سعدون عزیزی

سعدون عزیزی

مرتبه علمی: دانشیار
ارکید:
تحصیلات: دکترای تخصصی
اسکاپوس: 65456
دانشکده: دانشکده مهندسی
نشانی: دانشکده مهندسی، ساختمان شماره 1، اتاق 206
تلفن:

مشخصات پژوهش

عنوان
A priority, power and traffic-aware virtual machine placement of IoT applications in cloud data centers
نوع پژوهش
JournalPaper
کلیدواژه‌ها
Cloud computing, Internet of Thing (IoT), Cloud data center (CDC), Virtual machine placement (VMP), Priority-aware, Power consumption, Traffic-aware
سال
2021
مجله JOURNAL OF SYSTEMS ARCHITECTURE
شناسه DOI
پژوهشگران Shvan Omer Salih ، Sadoon Azizi ، Mohammad Shojafar ، Rahim Tafazzoli

چکیده

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.