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Sadoon Azizi

Sadoon Azizi

Academic rank: Associate Professor
ORCID:
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.
Phone:

Research

Title
Joint QoS-aware and Cost-efficient Task Scheduling for Fog-cloud Resources in a Volunteer Computing System
Type
JournalPaper
Keywords
Volunteer computing, fog computing, cloud computing, task scheduling, quality of service (QoS), cost-efficient
Year
2021
Journal ACM Transactions on Internet Technology
DOI
Researchers Rahim Tafazzoli ، Mohammad Shojafar ، Sadoon Azizi ، Farooq Hoseiny

Abstract

Volunteer computing is an Internet-based distributed computing in which volunteers share their extra available resources to manage large-scale tasks. However, computing devices in a Volunteer Computing System (VCS) are highly dynamic and heterogeneous in terms of their processing power, monetary cost, and data transferring latency. To ensure both of the high Quality of Service (QoS) and low cost for different requests, all of the available computing resources must be used efficiently. Task scheduling is an NP-hard problem that is considered as one of the main critical challenges in a heterogeneous VCS. Due to this, in this article, we design two task scheduling algorithms for VCSs, named Min-CCV and Min-V. The main goal of the proposed algorithms is jointly minimizing the computation, communication, and delay violation cost for the Internet of Things (IoT) requests. Our extensive simulation results show that proposed algorithms are able to allocate tasks to volunteer fog/cloud resources more efficiently than the state-of-the-art. Specifically, our algorithms improve the deadline satisfaction task rates around 99.5% and decrease the total cost between 15 to 53% in comparison with the genetic-based algorithm.