Articles

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

Multi-cloud provisioning of business processes

The Cloud offers enhanced flexibility in the management of resources for any kind of application while it promises the reduction of its cost as well as its infinite scalability. In this way, due to these advan...

Authors: Kyriakos Kritikos, Chrysostomos Zeginis, Joaquin Iranzo, Roman Sosa Gonzalez, Daniel Seybold, Frank Griesinger and Jörg Domaschka

A Neuro-fuzzy approach for user behaviour classification and prediction

Big data and cloud computing technology appeared on the scene as new trends due to the rapid growth of social media usage over the last decade. Big data represent the immense volume of complex data that show m...

Authors: Atta-ur-Rahman, Sujata Dash, Ashish Kr. Luhach, Naveen Chilamkurti, Seungmin Baek and Yunyoung Nam

Strand: scalable trilateration with Node.js

This work reports on the development details and results of an experimental setup for the localization of the attendants of a music festival. The application had to be reporting in real-time the asymmetric cro...

Authors: Konstantinos Tserpes, Maria Pateraki and Iraklis Varlamis

An optimization approach to capacity evaluation and investment decision of hybrid cloud: a corporate customer’s perspective

While the rapid growth of cloud computing is driven by the surge of big data, the Internet of Things, and social media applications, an evaluation and investment decision for cloud computing has been challengi...

Authors: In Lee

Replaceability and negotiation in a cloud service ecosystem

Cloud federation is an aggregation of services from different providers in a single pool supporting interoperability and resource migration. In federation, Services are assigned to the consumer’s service acces...

Authors: Adrija Bhattacharya, Sankhayan Choudhury and Agostino Cortesi

Temperature and energy-aware consolidation algorithms in cloud computing

Cloud computing provides access to shared resources through Internet. It provides facilities such as broad access, scalability and cost savings for users. However, cloud data centers consume a significant amou...

Authors: Maede Yavari, Akbar Ghaffarpour Rahbar and Mohammad Hadi Fathi

Design, simulation and testing of a cloud platform for sharing digital fabrication resources for education

Cloud and IoT technologies have the potential to support applica- tions that are not strictly limited to technical fields. This paper shows how digital fabrication laboratories (Fab Labs) can leverage cloud te...

Authors: Gianluca Cornetta, Javier Mateos, Abdellah Touhafi and Gabriel-Miro Muntean

Experts reviews of a cloud forensic readiness framework for organizations

Cloud computing has drastically altered the ways in which it is possible to deliver information technologies (ITs) to consumers as a service. In addition, the concept has given rise to multiple benefits for co...

Authors: Ahmed Alenezi, Hany F. Atlam and Gary B. Wills

Scalability analysis comparisons of cloud-based software services

Performance and scalability testing and measurements of cloud-based software services are necessary for future optimizations and growth of cloud computing. Scalability, elasticity, and efficiency are interrela...

Authors: Amro Al-Said Ahmad and Peter Andras

Online architecture for predicting live video transcoding resources

End users stream video increasingly from live broadcasters (via YouTube Live, Twitch etc.). Adaptive live video streaming is realised by transcoding different representations of the original video content. Man...

Authors: Pekka Pääkkönen, Antti Heikkinen and Tommi Aihkisalo

Multi-Dimensional Regression Host Utilization algorithm (MDRHU) for Host Overload Detection in Cloud Computing

The use of cloud computing data centers is growing rapidly to meet the tremendous increase in demand for high-performance computing (HPC), storage and networking resources for business and scientific applicati...

Authors: Ali A. El-Moursy, Amany Abdelsamea, Rukshanda Kamran and Mohamed Saad

A placement architecture for a container as a service (CaaS) in a cloud environment

Unlike a traditional virtual machine (VM), a container is an emerging lightweight virtualization technology that operates at the operating system level to encapsulate a task and its library dependencies for ex...

Authors: Mohamed K. Hussein, Mohamed H. Mousa and Mohamed A. Alqarni

Building consumer trust in the cloud: an experimental analysis of the cloud trust label approach

The lack of transparency surrounding cloud service provision makes it difficult for consumers to make knowledge based purchasing decisions. As a result, consumer trust has become a major impediment to cloud co...

Authors: Lisa van der Werff, Grace Fox, Ieva Masevic, Vincent C. Emeakaroha, John P. Morrison and Theo Lynn

Efficient resource provisioning for elastic Cloud services based on machine learning techniques

Automated resource provisioning techniques enable the implementation of elastic services, by adapting the available resources to the service demand. This is essential for reducing power consumption and guarant...

Authors: Rafael Moreno-Vozmediano, Rubén S. Montero, Eduardo Huedo and Ignacio M. Llorente

A view of programming scalable data analysis: from clouds to exascale

Scalability is a key feature for big data analysis and machine learning frameworks and for applications that need to analyze very large and real-time data available from data repositories, social media, sensor...

Authors: Domenico Talia

Adaptive deduplication of virtual machine images using AKKA stream to accelerate live migration process in cloud environment

Cloud Computing is a paradigm which provides resources to users from its pool based on demand to satisfy their requirements. During this process, many servers are overloaded and underloaded in the cloud enviro...

Authors: Naga Malleswari TYJ and Vadivu G

Energy-aware VM placement algorithms for the OpenStack Neat consolidation framework

One of the main challenges in cloud computing is an enormous amount of energy consumed in data-centers. Several researches have been conducted on Virtual Machine(VM) consolidation to optimize energy consumptio...

Authors: Fikru Feleke Moges and Surafel Lemma Abebe

Optimal deployment of components of cloud-hosted application for guaranteeing multitenancy isolation

One of the challenges of deploying multitenant cloud-hosted services that are designed to use (or be integrated with) several components is how to implement the required degree of isolation between the compone...

Authors: Laud Charles Ochei, Andrei Petrovski and Julian M. Bass

Degrees of tenant isolation for cloud-hosted software services: a cross-case analysis

A challenge, when implementing multi-tenancy in a cloud-hosted software service, is how to ensure that the performance and resource consumption of one tenant does not adversely affect other tenants. Software d...

Authors: Laud Charles Ochei, Julian M. Bass and Andrei Petrovski

Intrusion detection systems for IoT-based smart environments: a survey

One of the goals of smart environments is to improve the quality of human life in terms of comfort and efficiency. The Internet of Things (IoT) paradigm has recently evolved into a technology for building smar...

Authors: Mohamed Faisal Elrawy, Ali Ismail Awad and Hesham F. A. Hamed

Using genetic algorithms to find optimal solution in a search space for a cloud predictive cost-driven decision maker

In a cloud computing environment there are two types of cost associated with the auto-scaling systems: resource cost and Service Level Agreement (SLA) violation cost. The goal of an auto-scaling system is to f...

Authors: Ali Yadav Nikravesh, Samuel A. Ajila and Chung-Horng Lung

Correction to: Energy efficient temporal load aware resource allocation in cloud computing datacenters

Upon publication of the original article [1], it was noticed that the authors Mustafa Mehmet-Ali and Dondgyu Qiu were missing.

Authors: Shahin Vakilinia, Mustafa Mehmet-Ali and Dondgyu Qiu

LogDrive: a proactive data collection and analysis framework for time-traveling forensic investigation in IaaS cloud environments

This paper presents the LogDrive framework for mitigating the following problems of storage forensics in Infrastructure-as-a-Service (IaaS) cloud environments: volatility, increasing volume of forensic data, a...

Authors: Manabu Hirano, Natsuki Tsuzuki, Seishiro Ikeda and Ryotaro Kobayashi