Article
Computer Science, Information Systems
Mutaz Al-Tarawneh, Amjed Al-Mousa
Summary: This paper presents an adaptive fuzzy-based cloud service brokering algorithm (AFBSB) that selects the most appropriate data center for user cloud service requests based on user preferences in terms of cost and performance. The algorithm achieves significant performance improvement in performance-constrained environments and operates in a user-oriented manner in preference-aware environments.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Interdisciplinary Applications
Chao Liu, Ziwei Su, Xun Xu, Yuqian Lu
Summary: Cloud manufacturing is a service-oriented manufacturing paradigm that provides ubiquitous and on-demand access to customizable manufacturing services, but the link between field-level manufacturing data and the cloud manufacturing platform has not been well established. Efficient integration of IIoT technologies in cloud manufacturing systems can help overcome this challenge and improve connectivity between field-level manufacturing equipment and the cloud platform.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Editorial Material
Computer Science, Theory & Methods
Sami Yangui, Andrzej Goscinski, Khalil Drira, Zahir Tari, Djamal Benslimane
Summary: Service-Oriented Computing (SOC) and SOC systems have been developed to address problems such as heterogeneity and poor latency, and have been widely applied across various fields. The increasing interconnectivity provided by wireless networks, along with the need for modularization and standardization, have led to a surge in research, development, and deployment of SOC systems. The future generation of SOC systems will need to focus on advanced research results to solve open research problems and have a significant impact on the field.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Engineering, Multidisciplinary
Huan Zhou, Zhenning Wang, Hantong Zheng, Shibo He, Mianxiong Dong
Summary: This paper proposes a Deep Reinforcement Learning-based Computation Offloading and Service Caching Mechanism (DRLCOSCM) to jointly optimize the strategies of computation offloading, service caching, and resource allocation. It aims to minimize the cost of the Cloud Service Center (CSC) while ensuring the delay requirements of Mobile Users (MUs).
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Chemistry, Multidisciplinary
Zekun Zhang, Yong Peng, Miao Zhang, Quanjun Yin, Qun Li
Summary: This study proposes a learnable genetic algorithm for the deployment of simulation run-time resources (SRR) in cloud-edge collaborative simulation. The experiments demonstrate that the proposed method outperforms baseline policies in terms of optimality, feasibility, and convergence rate.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Hardware & Architecture
Tengchao Ma, Changqiao Xu, Shujie Yang, Yiting Huang, Qingzhao An, Xiaohui Kuang, Luigi Alfredo Grieco
Summary: Kubernetes (K8s) is crucial for cloud-native applications, but its flawed external IP design leads to service-oriented man-in-the-middle attacks. We propose a mutation-enabled proactive defense mechanism to address this issue by changing the asymmetry between attackers and defenders. Experimental results show that our mechanism can effectively defend against the attack while maintaining service connectivity.
IEEE TRANSACTIONS ON COMPUTERS
(2023)
Article
Computer Science, Information Systems
Sameer Singh Chauhan, Emmanuel S. Pilli, R. C. Joshi
Summary: Cloud providers collaborate to share resources and services, requiring a cloud broker as an intermediary to assist in service management and provide optimal services to users. A comprehensive weighting approach is used in cloud service selection, combining subjective and objective weights to calculate integrated total weight for ranking cloud services.
JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS
(2021)
Article
Automation & Control Systems
Min Wang, Shanchen Pang, Shihang Yu, Sibo Qiao, Xue Zhai, Hao Yue
Summary: Cloud manufacturing platform is a service model that provides solutions for large-scale personalized customization, but the service flexibility and resource allocation constraints affect the production time and cost. This article proposes a service model based on rewritable Petri nets and a resource allocation strategy based on nondominated sorting genetic algorithm to obtain the optimal personalized customization scheme in terms of time and cost.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Minglun Ren, Liangjia Shao
Summary: This paper proposes a mechanism of Service Takt for services collaboration in order to address the issues of uncertainty and disturbances. By analyzing the typical characteristics of service-oriented manufacturing, the attributes and calculating processes of Service Takt are elaborated, and validated through application cases.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Tongtong Zhou, Zhihua Chen, Yong Cao, Rui Miao, Xinguo Ming
Summary: This paper proposes a framework for user experience-oriented smart service requirement analysis in the development of smart PSS. The framework integrates factors such as user personas and activity journey to conceptualize the user experience in smart PSS. A four-phase model is introduced to identify user experience requirements, and a novel evaluation approach is developed to assess the priority of these requirements.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Engineering, Electrical & Electronic
Jingbin Zhang, Tianxiang Qi
Summary: This paper introduces the problems in the current sharing system for educational resources, and the urgent issue of ineffective dissemination of resource information in the distance education system. It proposes a cloud sharing system for implicit educational resources based on service architecture. The paper also discusses the standardization and development of educational resources, and presents a metadata management platform model for educational resources, as well as how to improve the utilization and development efficiency using service architecture and automated testing.
JOURNAL OF SENSORS
(2022)
Article
Engineering, Electrical & Electronic
Jingbin Zhang, Tianxiang Qi
Summary: The existing educational resource sharing systems in network teaching and distance education have made progress, but challenges still exist in sharing and utilizing educational application software, with a lack of unified planning and mature solutions.
JOURNAL OF SENSORS
(2022)
Article
Automation & Control Systems
Tharaka Hewa, Pawani Porambage, Ivana Kovacevic, Nisita Weerasinghe, Erkki Harjula, Madhusanka Liyanage, Mika Ylianttila
Summary: The novel concept of factory-as-a-service (FaaS) allows for the flexibility of the manufacturing process by identifying supply chain and user requirements. To support FaaS, flexibility in networking and cloud services is necessary. This article introduces a secure blockchain-based network slice broker (NSB) to facilitate FaaS, providing secure, cognitive, and distributed network services, and coordinating the work of slice managers and security service level agreement (SSLA) managers.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Computer Science, Information Systems
Jie Feng, Lei Liu, Qingqi Pei, Fen Hou, Tingting Yang, Jinsong Wu
Summary: This article focuses on the resource optimization problem in mobile edge computing systems and proposes a dynamic subchannel allocation and resource allocation algorithm (DSARA), demonstrating that the algorithm can achieve the minimum total cost value.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Zezu Liang, Yuan Liu, Tat-Ming Lok, Kaibin Huang
Summary: This paper addresses the challenge of supporting user mobility in cellular networks through optimizing migration/handover policies for tasks in MEC. By jointly managing computation-and-radio resources, the objectives of maximizing offloading rate and throughput while minimizing migration cost are achieved. The proposed solution approach demonstrates near-optimal performance in resource management for joint service migration and BS handover in multi-cell MEC networks.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Mohammad Aazam, Eui-Nam Huh, Marc St-Hilaire
JOURNAL OF GRID COMPUTING
(2018)
Article
Computer Science, Theory & Methods
Mohammad Aazam, Sherali Zeadally, Khaled A. Harras
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2018)
Article
Engineering, Electrical & Electronic
Mohammad Aazam, Sherali Zeadally, Khaled A. Harras
IEEE COMMUNICATIONS MAGAZINE
(2018)
Article
Automation & Control Systems
Mohammad Aazam, Sherali Zeadally, Khaled A. Harras
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2018)
Article
Automation & Control Systems
Mohammad Aazam, Khaled A. Harras, Sherali Zeadally
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2019)
Article
Computer Science, Hardware & Architecture
Mohammad Aazam, Sherali Zeadally, Khaled A. Harras
IEEE CONSUMER ELECTRONICS MAGAZINE
(2020)
Editorial Material
Computer Science, Information Systems
Constandinos X. Mavromoustakis, Mithun Mukherjee, George Mastorakis, Houbing Song, Maria Gorlatova, Mohammad Aazam
IEEE INTERNET OF THINGS JOURNAL
(2020)
Article
Chemistry, Multidisciplinary
Hicham Hossayni, Imran Khan, Mohammad Aazam, Amin Taleghani-Isfahani, Noel Crespi
APPLIED SCIENCES-BASEL
(2020)
Article
Computer Science, Hardware & Architecture
Mohammad Aazam, Sherali Zeadally, Eduardo Feo Flushing
Summary: Advancements in networking and mobile technologies have enabled the development of intelligent services, however, tasks like machine learning on edge devices may lead to higher energy consumption.
Article
Computer Science, Hardware & Architecture
Mohammad Aazam, Saif ul Islam, Salman Tariq Lone, Assad Abbas
Summary: This paper presents a three-tier IoT-fog-cloud model that aims to achieve high scalability of IoT services and manage global energy consumption through distributed task execution. The study evaluates the performance based on various application scenarios, using real datasets and considering fog-only, cloud-only, and fog-cloud collaborative scenarios. Task execution policy plays a key role in efficiently processing tasks, especially in deep learning, and the types of policies suitable for different offloading environments are elaborated upon.
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING
(2022)
Article
Computer Science, Information Systems
Xin Li, Yifan Dang, Mohammad Aazam, Xia Peng, Tefang Chen, Chunyang Chen
Proceedings Paper
Computer Science, Artificial Intelligence
Mohammad Aazam, Xavier Fernando
4TH IEEE INTERNATIONAL CONFERENCE ON SMART CLOUD (SMARTCLOUD 2019) / 3RD INTERNATIONAL SYMPOSIUM ON REINFORCEMENT LEARNING (ISRL 2019)
(2019)
Proceedings Paper
Computer Science, Theory & Methods
Mohammad Aazam, Khaled A. Harras
2019 IEEE 5TH WORLD FORUM ON INTERNET OF THINGS (WF-IOT)
(2019)
Proceedings Paper
Computer Science, Theory & Methods
Ali Elgazar, Khaled A. Harras, Mohammad Aazam, Abderrahmen Mtibaa
2018 6TH IEEE INTERNATIONAL CONFERENCE ON MOBILE CLOUD COMPUTING, SERVICES, AND ENGINEERING (MOBILECLOUD 2018)
(2018)
Proceedings Paper
Computer Science, Hardware & Architecture
Mohammad Aazam, Khaled A. Harras, Ali E. Elgazar
PROCEEDINGS OF THE 13TH WORKSHOP ON CHALLENGED NETWORKS (CHANTS'18)
(2018)