Yang Li¹, Jianjiang Li¹, Peng Shi², Xiaoning Qin³

Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 615-624, 2019, DOI:10.31209/2019.100000116

Abstract The applications to process large amounts of materials scientific data at different scales, have been placed the field of materials science on the verge of a revolution. This domain faces serious challenges, including diversity of format of scientific data, and missing unified platform for sharing. A Virtual DataSpace model and the evolution model is introduced to organize heterogeneous data according to the user requirements and track the variations of data. The open cloud model is embedded in a materials scientific data sharing platform in our experiments to verify its effectiveness. The results show the model More >

Tongmao Ma^1,2, Shanchen Pang¹, Weiguang Zhang¹, Shaohua Hao¹

Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 605-613, 2019, DOI:10.31209/2019.100000115

Abstract In cloud computing, task scheduling is a challenging problem in cloud data center, and there are many different kinds of task scheduling strategies. A good scheduling strategy can bring good effectiveness, where plenty of parameters should be regulated to achieve acceptable performance of cloud computing platform. In this work, combined elitist strategy, three parameters values oriented genetic algorithms are proposed. Specifically, a model built by Generalized Stochastic Petri Nets (GSPN) is introduced to describe the process of scheduling in cloud datacenter, and then the workflow of the algorithms is showed. After that, the effectiveness of More >

Ce Li^1,2,*, Xinyu Shang², Liguo Zhang^3,4, Feng Yang^1,2, Jing Zheng^1,5, Xianlei Xu¹

CMC-Computers, Materials & Continua, Vol.61, No.3, pp. 1245-1260, 2019, DOI:10.32604/cmc.2019.06159

Abstract Pipeline defect detection systems collect the videos from cameras of pipeline robots, however the systems always analyzed these videos by offline systems or humans to detect the defects of potential security threats. The existing systems tend to reach the limit in terms of data access anywhere, access security and video processing on cloud. There is in need of studying on a pipeline defect detection cloud system for automatic pipeline inspection. In this paper, we deploy the framework of a cloud based pipeline defect detection system, including the user management module, pipeline robot control module, system More >

I-Ching Hsu^1,*

CMC-Computers, Materials & Continua, Vol.61, No.3, pp. 929-950, 2019, DOI:10.32604/cmc.2019.07876

Abstract Considering cloud computing from an organizational and end user computing point of view, it is a new paradigm for deploying, managing and offering services through a shared infrastructure. Current development of cloud computing applications, however, are the lack of a uniformly approach to cope with the heterogeneous information fusion. This leads cloud computing to inefficient development and a low potential reuse. This study addresses these issues to propose a novel Web 2.0 Mashups as a Service, called WMaaS, which is a fundamental cloud service model. The WMaaS is developed based on a XML-based Mashups Architecture More >

Bokyun Jo¹, Md. Jalil Piran^2,*, Daeho Lee³, Doug Young Suh^4,*

CMC-Computers, Materials & Continua, Vol.61, No.2, pp. 439-463, 2019, DOI:10.32604/cmc.2019.08194

Abstract In this paper, we investigate video quality enhancement using computation offloading to the mobile cloud computing (MCC) environment. Our objective is to reduce the computational complexity required to covert a low-resolution video to high-resolution video while minimizing computation at the mobile client and additional communication costs. To do so, we propose an energy-efficient computation offloading framework for video streaming services in a MCC over the fifth generation (5G) cellular networks. In the proposed framework, the mobile client offloads the computational burden for the video enhancement to the cloud, which renders the side information needed to… More >

Pinjie Xu², Ce Li^1,2,*, Liguo Zhang^3,4, Feng Yang^1,2, Jing Zheng^1,5, Jingwu Feng²

Journal on Artificial Intelligence, Vol.1, No.1, pp. 9-18, 2019, DOI:10.32604/jai.2019.06157

Abstract Detecting the underground disease is very crucial for the roadbed health monitoring and maintenance of transport facilities, since it is very closely related to the structural health and reliability with the rapid development of road traffic. Ground penetrating radar (GPR) is widely used to detect road and underground diseases. However, it is still a challenging task due to data access anywhere, transmission security and data processing on cloud. Cloud computing can provide scalable and powerful technologies for large-scale storage, processing and dissemination of GPR data. Combined with cloud computing and radar detection technology, it is More >

Zhengtao Liu^1,*, Wen Gu¹, Jinyue Xia²

Journal of Cyber Security, Vol.1, No.1, pp. 43-50, 2019, DOI:10.32604/jcs.2019.06070

Abstract Access control is one of the core problems in data management system. In this paper, the system requirements were described in three aspects: the traditional access control model, the access control model in the Internet era and the access control model in the cloud computing environment. Meanwhile, the corresponding major models were listed and their characteristics and problems were analyzed. Finally, the development trend of the corresponding model was proposed. More >

Zhengtao Liu^1,*, Jinyue Xia²

CMC-Computers, Materials & Continua, Vol.60, No.1, pp. 395-408, 2019, DOI:10.32604/cmc.2019.05627

Abstract Tenants in the cloud computing environment share various services, including storage, network, computing, and applications. For better use of services in the cloud computing environment, tenants collaborate in tasks, resulting in challenges to the traditional access control. This study proposes a cross-tenant role-based access control (CT-RBAC) model for collaborative cloud services. This model covers the CT-RBAC0, CT-RBAC1, CT-RBAC2, and CT-RBAC3 models. The model not only extends the RBAC model in the multi-tenant cloud computing mode but also includes four types of authorization modes among tenants. Consequently, the role inheritance constraint is increased, and fine-grained authorization More >

Sayed Chhattan Shah

Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 285-298, 2018, DOI:10.1080/10798587.2017.1280995

Abstract Grid and cloud computing systems have been extensively used to solve large and complex problems in science and engineering fields. These systems include powerful computing resources that are connected through high-speed networks. Due to the recent advances in mobile computing and networking technologies, it has become feasible to integrate various mobile devices, such as robots, aerial vehicles, sensors, and smart phones, with grid and cloud computing systems. This integration enables the design and development of the next generation of applications by sharing of resources in mobile environments and introduces several challenges due to a dynamic More >

Hongbin Zhang^{1, 2}, Yuzi Yi^{1, *}, Junshe Wang¹, Ning Cao^{3, *}, Qiang Duan⁴

CMC-Computers, Materials & Continua, Vol.56, No.3, pp. 381-399, 2018, DOI:10.3970/cmc.2018.03787

Abstract Network security situation awareness is an important foundation for network security management, which presents the target system security status by analyzing existing or potential cyber threats in the target system. In network offense and defense, the network security state of the target system will be affected by both offensive and defensive strategies. According to this feature, this paper proposes a network security situation awareness method using stochastic game in cloud computing environment, uses the utility of both sides of the game to quantify the network security situation value. This method analyzes the nodes based on… More >