Articles

CRUPA: collusion resistant user revocable public auditing of shared data in cloud

Cloud repository is one of the most important services afforded by Cloud Computing where information is preserved, maintained, archived in distant servers and made available to the users over the Internet. Pro...

Authors: Geeta C. Mara, Usharani Rathod, Shreyas Raju R. G., Raghavendra S., Rajkumar Buyya, Venugopal K. R., S. S. Iyengar and L. M. Patnaik

Assessing the suitability of the Greenhouse Gas Protocol for calculation of emissions from public cloud computing workloads

Efficiency improvements over the past decade have meant that data center energy usage has decoupled from the growth in IT workloads. Much of this efficiency improvement has been attributed to innovations made ...

Authors: David Mytton

Parallel acceleration of CPU and GPU range queries over large data sets

Data management systems commonly use bitmap indices to increase the efficiency of querying scientific data. Bitmaps are usually highly compressible and can be queried directly using fast hardware-supported bit...

Authors: Mitchell Nelson, Zachary Sorenson, Joseph M. Myre, Jason Sawin and David Chiu

Network perception task migration in cloud-edge fusion computing

With the development of cloud computing, edge computing has been proposed to provide real-time and low-delay services to users. Current research usually integrates cloud computing and edge computing as cloud-e...

Authors: Chen Ling, Weizhe Zhang, Hui He and Yu-chu Tian

A fuzzy inference system (FIS) to evaluate the security readiness of cloud service providers

Cloud computing is a model for on-demand delivery of IT resources (e.g., servers, storage, databases, etc.) over the Internet with pay-as-you-go pricing. Although it provides numerous benefits to cloud service...

Authors: Syed Rizvi, John Mitchell, Abdul Razaque, Mohammad R. Rizvi and Iyonna Williams

Highly secure edge-intelligent electric motorcycle management system for elevators

Because of their portability, electric motorcycles are usually pushed into elevators by residents and charged in the home, which has serious safety risks. Traditional manual-based methods to manage this behavi...

Authors: Zongwei Zhu, Jing Cao, Tiancheng Hao, Wenjie Zhai, Bin Sun, Gangyong Jia and Ming Li

2PC*: a distributed transaction concurrency control protocol of multi-microservice based on cloud computing platform

The two-phase commit (2PC) protocol is a key technique for achieving distributed transactions in storage systems such as relational databases and distributed databases. 2PC is a strongly consistent and central...

Authors: Pan Fan, Jing Liu, Wei Yin, Hui Wang, Xiaohong Chen and Haiying Sun

Intelligent cloud workflow management and scheduling method for big data applications

With the application and comprehensive development of big data technology, the need for effective research on cloud workflow management and scheduling is becoming increasingly urgent. However, there are curren...

Authors: Yannian Hu, Hui Wang and Wenge Ma

Towards secure and network state aware bitrate adaptation at IoT edge

Video streaming is critical in IoT systems, enabling a variety of applications such as traffic monitoring and health caring. Traditional adaptive bitrate streaming (ABR) algorithms mainly focus on improving In...

Authors: Zeng Zeng, Hang Che, Weiwei Miao, Jin Huang, Hao Tang, Mingxuan Zhang and Shaqian Zhang

Intelligent algorithms for cold chain logistics distribution optimization based on big data cloud computing analysis

In recent years, the rapid development of fresh food e-commerce in China has brought about more development opportunities for the cold chain logistics industry but has also presented new challenges. With the d...

Authors: Yi-hua Chen

A novel privacy-preserving speech recognition framework using bidirectional LSTM

Utilizing speech as the transmission medium in Internet of things (IoTs) is an effective way to reduce latency while improving the efficiency of human-machine interaction. In the field of speech recognition, R...

Authors: Qingren Wang, Chuankai Feng, Yan Xu, Hong Zhong and Victor S. Sheng

Studying gas exceptions in blockchain-based cloud applications

Blockchain-based cloud application (BCP) is an emerging cloud application architecture. By moving trust-critical functions onto blockchain, BCP offers unprecedented function transparency and data integrity. Et...

Authors: Chao Liu, Jianbo Gao, Yue Li, Huihui Wang and Zhong Chen

Near real-time optimization of fog service placement for responsive edge computing

In recent years, computing workloads have shifted from the cloud to the fog, and IoT devices are becoming powerful enough to run containerized services. While the combination of IoT devices and fog computing h...

Authors: Tom Goethals, Filip De Turck and Bruno Volckaert

A joint optimization scheme of content caching and resource allocation for internet of vehicles in mobile edge computing

In a high-speed free-flow scenario, a joint optimization scheme for content caching and resource allocation is proposed based on mobile edge computing in Internet of Vehicles. Vehicle trajectory prediction pro...

Authors: Mu Zhang, Song Wang and Qing Gao

Dynamic resource provisioning for cyber-physical systems in cloud-fog-edge computing

Cyber-Physical Systems(CPS) serves as an interdisciplinary effort that incorporates cyber vector as well as physical vector. The latter can generate exponentially growing amounts of data. How to process CPS bi...

Authors: Zhanyang Xu, Yanqi Zhang, Haoyuan Li, Weijing Yang and Quan Qi

Image data model optimization method based on cloud computing

In the current age of data explosion, the amount of data has reached incredible proportions. Digital image data constitute most of these data. With the development of science and technology, the demand for net...

Authors: Jingyu Liu, Jing Wu, Linan Sun and Hailong Zhu

Two-level fuzzy-neural load distribution strategy in cloud-based web system

Cloud computing Web systems are today the most important part of the Web. Many companies transfer their services to the cloud in order to avoid infrastructure aging and thus preventing less efficient computing...

Authors: Krzysztof Zatwarnicki

Approximation analysis of ontology learning algorithm in linear combination setting

In the past ten years, researchers have always attached great importance to the application of ontology to its relevant specific fields. At the same time, applying learning algorithms to many ontology algorith...

Authors: Wei Gao and Yaojun Chen

An efficient task offloading scheme in vehicular edge computing

Vehicular edge computing (VEC) is a promising paradigm to offload resource-intensive tasks at the network edge. Owing to time-sensitive and computation-intensive vehicular applications and high mobility scenar...

Authors: Salman Raza, Wei Liu, Manzoor Ahmed, Muhammad Rizwan Anwar, Muhammad Ayzed Mirza, Qibo Sun and Shangguang Wang

CNN based lane detection with instance segmentation in edge-cloud computing

At present, the number of vehicle owners is increasing, and the cars with autonomous driving functions have attracted more and more attention. The lane detection combined with cloud computing can effectively s...

Authors: Wei Wang, Hui Lin and Junshu Wang

A learning style classification approach based on deep belief network for large-scale online education

With the rapidly growing demand for large-scale online education and the advent of big data, numerous research works have been performed to enhance learning quality in e-learning environments. Among these stud...

Authors: Hao Zhang, Tao Huang, Sanya Liu, Hao Yin, Jia Li, Huali Yang and Yu Xia

An ensemble-learning method for potential traffic hotspots detection on heterogeneous spatio-temporal data in highway domain

Inter-city highway plays an important role in modern urban life and generates sensory data with spatio-temporal characteristics. Its current situation and future trends are valuable for vehicles guidance and t...

Authors: Weilong Ding, Yanqing Xia, Zhe Wang, Zhenyu Chen and Xingyu Gao

Revisiting the power of reinsertion for optimal targets of network attack

Understanding and improving the robustness of networks has significant applications in various areas, such as bioinformatics, transportation, critical infrastructures, and social networks. Recently, there has ...

Authors: Changjun Fan, Li Zeng, Yanghe Feng, Baoxin Xiu, Jincai Huang and Zhong Liu

A security event description of intelligent applications in edge-cloud environment

In traditional network environment, the attack topology of the network is usually obtained based on a graph traversal algorithm. It uses connection relationships to describe the process of the attack, thus com...

Authors: Qianmu Li, Xiaochun Yin, Shunmei Meng, Yaozong Liu and Zijian Ying

Ground radar precipitation estimation with deep learning approaches in meteorological private cloud

Accurate precipitation estimation is significant since it matters to everyone on social and economic activities and is of great importance to monitor and forecast disasters. The traditional method utilizes an ...

Authors: Wei Tian, Lei Yi, Wei Liu, Wei Huang, Guangyi Ma and Yonghong Zhang

Deep learning-driven wireless communication for edge-cloud computing: opportunities and challenges

Future wireless communications are becoming increasingly complex with different radio access technologies, transmission backhauls, and network slices, and they play an important role in the emerging edge compu...

Authors: Huaming Wu, Xiangyi Li and Yingjun Deng

Flexible automatic detection for security management of dispatching data network

Power grid dispatching is among the forefront issues in the power industry for it can highly influence the efficiency of electricity-related industries. At present, power grid dispatching is usually managed ma...

Authors: Xianrui Yang, Yuming Liu, Jiehong Wang, Zhao Yao, Yanping Zhou and Shucun Fu

Energy-efficient sensory data gathering based on compressed sensing in IoT networks

The Internet of Things (IoT) networks have become the infrastructure to enable the detection and reaction of anomalies in various domains, where an efficient sensory data gathering mechanism is fundamental since

Authors: Xinxin Du, Zhangbing Zhou, Yuqing Zhang and Taj Rahman

Evaluating TCP performance of routing protocols for traffic exchange in street-parked vehicles based fog computing infrastructure

As most vehicles remain parked 95% of its time, this suggests that leveraging the use of On-board Units (OBUs) in parked vehicles would provide communication and computation services to other mobile and fixed ...

Authors: Awangku Muhammad Iqbal Yura, S. H. Shah Newaz, Fatin Hamadah Rahman, Thien Wan Au, Gyu Myoung Lee and Tai-Won Um

Fault localization by analyzing failure propagation with samples in cloud computing environment

With the development of information technology such as cloud computing, IoT, etc, software becomes the infrastructure. On the one hand, it is critical to ensure the reliability of software, on the other, sampl...

Authors: Tiantian Wang, Kechao Wang and Xiaohong Su

ConvLSTMConv network: a deep learning approach for sentiment analysis in cloud computing

The rapid development of social media, and special websites with critical reviews of products have created a huge collection of resources for customers all over the world. These data may contain a lot of infor...

Authors: Mohsen Ghorbani, Mahdi Bahaghighat, Qin Xin and Figen Özen

Pricing cloud IaaS computing services

The economics of cloud computing has recently attracted increasing attention. In particular, a topic which is still under debate is how prices charged to customers for cloud resources are formed, since alterna...

Authors: Nicola Dimitri

Tuning high flow concurrency for MPTCP in data center networks

In the data center networks, multipath transmission control protocol(MPTCP) uses multiple subflows to balance traffic over parallel paths and achieve high throughput. Despite much recent progress in improving ...

Authors: Jiawei Huang, Weihe Li, Qi Li, Tao Zhang, Pingping Dong and Jianxin Wang

Multimodal transport information sharing platform with mixed time window constraints based on big data

The primary consideration in the top-level design of multimodal transport systems is the matching degree and coordination degree of port facilities and transport information platforms. In the process of contai...

Authors: Liqun Ding

Providing privacy preserving in next POI recommendation for Mobile edge computing

Point of interest (POI) recommendation can benefit users and merchants. It is a very important and popular service in modern life. In this paper, we aim to study the next new POI recommendation problem with th...

Authors: Li Kuang, Shenmei Tu, Yangqi Zhang and Xiaoxian Yang

Efficient resourceful mobile cloud architecture (mRARSA) for resource demanding applications

For mobile clients, sufficient resources with the assurance of efficient performance and energy efficiency are the core concerns. This article mainly considers this need and proposes a resourceful architecture...

Authors: Asharul Islam, Anoop Kumar, Khalid Mohiuddin, Sadaf Yasmin, Mohammed Abdul Khaleel and Mohammad Rashid Hussain

Improvement of job completion time in data-intensive cloud computing applications

Task stragglers in MapReduce jobs dramatically impede job execution of data-intensive computing in cloud data centers. This impedance is due to the uneven distribution of input data, heterogeneous data nodes, ...

Authors: Ibrahim Adel Ibrahim and Mostafa Bassiouni

CIES: Cloud-based Intelligent Evaluation Service for video homework using CNN-LSTM network

Video (used as a form of examination or homework) as an efficient approach for examining students’ abilities is drawing increasing attention in the education field. How to assess video assignments effectively ...

Authors: Rui Song, Zhiyi Xiao, Jinjiao Lin and Ming Liu

An efficient parallel genetic algorithm solution for vehicle routing problem in cloud implementation of the intelligent transportation systems

A novel parallelization method of genetic algorithm (GA) solution of the Traveling Salesman Problem (TSP) is presented. The proposed method can considerably accelerate the solution of the equivalent TSP of man...

Authors: Mahdi Abbasi, Milad Rafiee, Mohammad R. Khosravi, Alireza Jolfaei, Varun G. Menon and Javad Mokhtari Koushyar

PHYAlert: identity spoofing attack detection and prevention for a wireless edge network

Delivering service intelligence to billions of connected devices is the next step in edge computing. Wi-Fi, as the de facto standard for high-throughput wireless connectivity, is highly vulnerable to packet-injec...

Authors: Zhiping Jiang, Kun Zhao, Rui Li, Jizhong Zhao and Junzhao Du

Study on coupling degree of rail transit capacity and land use based on multivariate data from cloud platform

The study of exploring the internal connection between rail transit and land use is of great significance for the coordinated development of urban space and rail transit construction, and it is also important ...

Authors: Quanhua Hou, Yaotian Xing, Di Wang, Jiachen Liu, Xiaoyang Fan and Yaqiong Duan

Secure VM management with strong user binding in semi-trusted clouds

In Infrastructure-as-a-Service (IaaS) clouds, remote users access provided virtual machines (VMs) via the management server. The management server is managed by cloud operators, but not all the cloud operators...

Authors: Keisuke Inokuchi and Kenichi Kourai

A dockerized framework for hierarchical frequency-based document clustering on cloud computing infrastructures

Scalable big data analysis frameworks are of paramount importance in the modern web society, which is characterized by a huge number of resources, including electronic text documents. Document clustering is an...

Authors: Maria Th. Kotouza, Fotis E. Psomopoulos and Pericles A. Mitkas

Cloudy transaction costs: a dive into cloud computing economics

Looking merely from the neoclassical perspective, cloud computing is price effective. However, according to institutional and transaction cost economics, cloud customers should estimate other costs beyond the ...

Authors: Rasha Makhlouf

Publicly verifiable and efficiency/security-adjustable outsourcing scheme for solving large-scale modular system of linear equations

Authors: Panpan Meng, Chengliang Tian and Xiangguo Cheng

Security governance as a service on the cloud

Small companies need help to detect and to respond to increasing security related threats. This paper presents a cloud service that automates processes that make checks for such threats, implement mitigating p...

Authors: Ciarán Bryce

Load balancing in cloud computing – A hierarchical taxonomical classification

Load unbalancing problem is a multi-variant, multi-constraint problem that degrades performance and efficiency of computing resources. Load balancing techniques cater the solution for load unbalancing situatio...

Authors: Shahbaz Afzal and G. Kavitha

Reliability and capability based computation offloading strategy for vehicular ad hoc clouds

In the Internet of Vehicles (IoV), with the increasing demand for intelligent technologies such as driverless driving, more and more in-vehicle applications have been put into autonomous driving. For the compu...

Authors: Bo Li, Ziyi Peng, Peng Hou, Min He, Marco Anisetti and Gwanggil Jeon

The cloud application modelling and execution language

Cloud computing offers a flexible pay-as-you-go model for provisioning application resources, which enables applications to scale on-demand based on the current workload. In many cases, though, users face the ...

Authors: Achilleas P. Achilleos, Kyriakos Kritikos, Alessandro Rossini, Georgia M. Kapitsaki, Jörg Domaschka, Michal Orzechowski, Daniel Seybold, Frank Griesinger, Nikolay Nikolov, Daniel Romero and George A. Papadopoulos

Secure end-to-end processing of smart metering data

Cloud computing considerably reduces the costs of deploying applications through on-demand, automated and fine-granular allocation of resources. Even in private settings, cloud computing platforms enable agile...

Authors: Andrey Brito, Christof Fetzer, Stefan Köpsell, Peter Pietzuch, Marcelo Pasin, Pascal Felber, Keiko Fonseca, Marcelo Rosa, Luiz Gomes Jr, Rodrigo Riella, Charles Prado, Luiz F. Rust, Daniel E. Lucani, Márton Sipos, László Nagy and Marcell Fehér