EAI Endorsed Transactions on Cloud Systems

EAI Endorsed Transactions on Cloud Systems is an open access, peer-reviewed scholarly journal focused on cloud systems and four technology pillars: mobile computing, cloud services, big data analytics, and social networking. The journal publishes research articles, review articles, commentaries, editorials, technical articles, and short communications with a triannual frequency. Authors are not charged for article submission and processing.

Editor(s)-in-Chief: Cathryn Peoples and Guanfeng Liu

Aims & Scope
Indexing
Editorial Board
Special Issues

The EAI Endorsed Transactions on Cloud System (ToCS) is an international venue for publishing innovative and cutting edge results on the convergence of next-generation technologies and methodologies reshaping our way of living. The emerging converged platform for growth and innovation is built on four technology pillars: mobile computing, cloud services, big data and analytics, and social networking.

INDEXING: DOAJ, CrossRef, Google Scholar, ProQuest, EBSCO, CNKI, Dimensions

Topics include, but are not limited to, the following:

Anything as a Service (XaaS), for example: Infrastructure as a service (IaaS), Business process as a service (BPaaS) or Disaster Recovery as a service (DRaaS)
Cloud architecture and foundation services
Big data management and analytics
Internet of things (IoT) and Mobile Cloud
Virtualization technology
The virtual enterprise, software defined networks (SDN), Network Function virtualization (NFV), software defined Storage, Data virtualization, etc.
Cloud security, privacy, and trust
Workload deployment and migration
Resource management provisioning and load balancing
Energy management in cloud centers
Cloud programming models and tools
Private, Public, Hybrid and Federated clouds
API management, collaboration and integration
Content distribution and management
Service lifecycle management
Service management automation
Cloud computing programming models
Multi-tenancy
Discovery of services and data
Monitoring and Metering
Systems of records and systems of engagement
Business models, pricing, and software licensing
Modeling and Testing very large infrastructures
Standardization, regulation and compliance management

Special issue on Top trends in Cloud Computing (Manuscript submission deadline: 2022-01-31; Notification of acceptance: 2022-03-18; Submission of final revised paper: 2022-05-02; Publication of special issue (tentative): 2022-06-30)

Main Guest Editor: Dr. Anupama Chadha (Manav Rachna International Institute of Research and Studies, Faridabad, India) Guest Editor: Dr. Sachin Sharma (Manav Rachna International Institute of Research and Studies, Faridabad, India) Guest Editor: Dr. Anupriya Jain (Manav Rachna International Institute of Research and Studies, Faridabad, India) Guest Editor: Kourosh Ahmadi (Auckland Institute of Study, New Zealand) Guest Editor: Munish Sabharwal (Galgotias University,India)

Editors-in-Chief
Cathryn Peoples, The Open University; Ulster University, UK
Guanfeng Liu, Macquarie University, Australia
Area Editors
Vijayakumar Varadarajan (The University of New South Wales, Australia)
Bharat S. Rawal (Pen State University, USA)
Ahmad Karim (Bahauddin Zakariya University, Pakistan)
Antonio Celesti (University of Messina, Italy)
Dana Petcu (West University of Timisoara, Timişoara, Romania)
Domenico Talia (Università della Calabria, Italy)
Florin Pop (Politehnica University of Bucharest, Romania)
Gokhale Anu (Illinois State University, USA)
Jean-Philippe Martin-Flatin (Switzerland)
K. R. Rao (University of Texas, USA)
Lizhe Wang (Chinese Academy of Sciences (CAS), China)
Luciano Baresi (Politechnico di Milano, Italy)
Manish Kumar (IIT-Allahabad, India)
Marcel Kunze (Karlsruhe Institute of Technology (KIT), Germany)
Maria Dolores Cano Baños (Universidad Politécnica, Spain)
Marios D. Dikaiakos (University of Cyprus, Cyprus)
Marios Dikaiakos (University of Cyprus)
Massimo Villari (University of Messina, Messina, Italy)
Mirco Marchetti (University of Modena and Reggio Emilia, Modena, Italy)
Mohamamad Shojafar (University Sapienza of Rome, Italy)
Nik Bessis Edge (Hill University)
Patrick Siarry (University of Paris)
Siguang Chen (Nanjing University of Posts and Telecommunications, China)
Raouf Boutaba (University of Waterloo, Canada)
Roman Vitenberg (University of Oslo, Norway)
Sri Devi Ravana (University of Malaya, Malaysia)
Syed Rizvi (The Pennsylvania State University, USA)
Vasilios Andrikopoulos (University of Stuttgart, Germany)
Verdiana Grace Masanja (NM-AIST, Tanzania)
V. Subramaniyaswamy (SASTRA Deemed University, India)
Xiao-Zhi Gao (University of Eastern Finland, Finland)
Marco Lucio Scarpa (University of Messina)
Yuvaraja Devajaran (Palo Alto Networks Inc, CA, USA)
Jitendra Kumar Verma (Amity University, India)

Recently Published
Most Popular

Application Programming Interface (API) Security in Cloud Applications
Appears in:
cs 23(23): e1

Authors:
Farhan Qazi

Published:
17th Oct 2023

Abstract:
Many cloud services utilize an API gateway, which enables them to be offered to users through API platforms such as Platform as a Service (PaaS), Software as a service (SaaS), Infrastructure as a Service (IaaS) and cross-platforms APIs. APIs are designed for functionality and speed by developers who write a small portion of code, which has visibility and is secure. The code that is created from third-party software or libraries has no visibility, which makes it insecure. APIs are the most vulnerable points of attack, and many users are not aware of their insecurity. This paper reviews API security in cloud applications and discusses details of API vulnerabilities, existing security tools for API security to mitigate API attacks. The author’s study showed that most users are unaware of API insecurity, organizations lack resources and training to educate users about APIs, and organizations depend on the overall security of the network instead of the security of standalone APIs.
System Modeling and Artificial Neural Network (ANN) Design for Lateral and Longitudinal of F-16
Appears in:
cs 22(22): e8

Authors:
Nguyen Cong Danh

Published:
18th Nov 2022

Abstract:
Today, the classical control methods are still widely used because of their excellent performance in a working environment with conditions of geo-graphical distance. They are suitable for functions of the system: more flexible operating system, easy to perform, less unwanted ricks occur, the efficiency of controlling a system better. Besides the traditional control methods, the author has applied more modern and smarter algorithms such as artificial intelligence to control a system on the ground or a system moving in the air. In this paper, artificial neural network (ANN) is applied for a flight model to demonstrate its effectiveness in all cases. ANN in this article to show off its amazing application for flying devices. This is a useful method because it is highly secure. Simulation is done by Matlab.
Neural Networks Application for the Data of LQG Regulator for the Flexible Joint Robot
Appears in:
cs 22(22): e7

Authors:
Nguyen Cong Danh

Published:
15th Nov 2022

Abstract:
This paper describes the investigation of a flexible robotic arm with Degree of Freedom (DOF) through Linear Quadratic Gaussian (LQG) regulator under the influence of noise signals with using diagrams below. The derived model is based on the Euler-Lagrange approach while LQG mode is proposed as a modern control method. A flexible robotic arm that is test in the modern regulator is essential for applications. This is even more interesting while these arms have joints that work independently of each other, but they still ensure a tight connection between the joints. Testing the stability characteristics of the system through this regulator helps readers determine the output signals of a system exactly. From here, the author came up with strategies the match the requirements. Although the initial stage of the operating cycle is not stable with the use of LQG regulator, most of later stages of this process of closed systems of robotic systems gradually become stable. In particular, adjusting LQG for flexible joint robot gives satisfactory simulation results. This promises a positive result of other joint robot. Neural networks applied in this paper have proven its effectiveness in information security issues. It is also very useful for tight control of possible situations such as a large scale attack on network systems, automated control systems. The main contributions of this paper have been clearly demonstrated through two strategies that need to be addressed: LQG, neural networks for the data of LQG regulator.The methods described above have not been previously published for this model. Therefore, this article was born to outline the above objectives and the plans have been satisfactorily implemented. These studies are important because they serve as a necessary database in the selection of control strategies according to the requirements. Simulation results are done by Matlab. The purpose of the study of this paper: the author has searched for a stability of the system through the above methods. The applied method is a thorough study of the structure of the system as well as the construction of algorithms to form the regulator. The result ia a reliable simulation of events after the system is controlled by these regulators.
The application of a optimal controller for the flexible joint robot
Appears in:
cs 22(22): e6

Authors:
Nguyen Cong Danh

Published:
9th Sep 2022

Abstract:
This paper describes the operation of a single Degree of Freedom (DOF) flexible robotic arm by the optimal controller. The derived model is based on Euler- Lagrange approach, while the first and second-order (super twisting) Sliding Mode Control (SMC) is proposed as a nonlinear control strategy. Exploration of a flexible robotic arm with using state-of-the-art controllers is essential for practical applications. This is even more refreshing when these arms have joints that work independently of each other to create a smooth connection between the joints, but it still ensures the natural properties like a real human arm. This system has many similarities with the flexible link system of the MIMO model in its operational state analysis. Control laws must be followed by logical rules in a coherent whole. The next step is to design a controller to fit the structure of the system. The author also compared the use of the above controller with a system without using any controller to determine the effectiveness of using the above controller.
Investigating the IoT Security and Privacy Challenges: Summary and Recommendations
Appears in:
cs 22(22): e5

Authors:
Premlata Chauhan, Naseem Ahmad Khan, Shafeeq Ahmad, Pervez Rauf Khan

Published:
31st Aug 2022

Abstract:
With the development of innovative technology transformation like cloud and Internet of Things (IoT), more technology companies are pursuing research in employing such innovations. Smart homes and cities are just two examples of the many systems and technologies that the IoT can endorse. IoT - based smart objects communicate with other parts, such as proxies, portable devices, as well as data collectors. Although these components help to tackle a number of societal issues and offer users new, cutting-edge services, their confined processing power makes them susceptible to well-known privacy and security attacks. This in turn highlights the demand for a strong technical as well as legislative foundation and asserts the significance of validity and reliability in IoT. This paper provides an insight of the IoT, security, as well as privacy challenges, and also discusses the recommendations for IoT solutions. Further we also highlighting some unresolved problems that require further study.
Service Level Agreement (SLA) Chains Supported by Cloud in a Complex Port Ecosystem with Competing Stakeholder Goals: Editorial
Appears in:
cs 22(22): e4

Authors:
C. Peoples, A. Moore, N. Georgalas

Published:
26th Jul 2022

Abstract:
-
COVID-19 Fake News Detection Using Machine Learning Techniques: A Comparative Study
Appears in:
cs 22(22): e3

Authors:
Abderrahim Djaballah, Amor Ben El Khettab Lalmi, Mohamed Gharzouli

Published:
24th Jun 2022

Abstract:
Fake news has become one of the most serious issues in recent years, especially on social media. For example, during the covid-19 pandemic, a great deal of false information about the virus spread easily and quickly through the internet. In this area, researchers have given substantial answers to this problem utilizing various machine learning techniques. However, there are some gaps that need to be clarified. In the context of COVID-19 fake news detection, in this study, we present a comparison of four major machine learning algorithms: SVM, Nave Bayes, Logistic Regression, and Random Forest. We proposed four new machine learning models by combining these algorithms with two feature extraction techniques (TF-IDF and CountVectorizer). On three datasets, we tested the suggested models and analyzed their performance. According to the obtained results, we concluded that some properties of the used datasets can affect the obtained results. In addition, we find the best model overall.
Investigation of Security Breaches Due to Resource Sharing in Virtual Machine Migration Using Hybrid Ant Colony Optimization with ANN
Appears in:
cs 22(22): e2

Authors:
Chanchal Antony, Manu A P

Published:
7th Jun 2022

Abstract:
Cloud computing is one of the active research areas in High Performance Computing. It helps to share the resources globally in a distributed manner. In this paper, hybrid ACO with ANN is designed to ensure the best and the secured VM consolidation process. Initially, the objectives constraints for power consumption, resource deterioration and the SLA parameters are modelled for the Physical Machines and Virtual Machines. The selection of VMs is explored by the concept of Ant Colony Optimization that select the best VMs by the predefined SLA parameters. Also, the eavesdropping attack is also modulated in the cloud shared environment. The proposed hybrid ACO with ANN is implemented in CloudSim and it’s compared with the honeybee with GA and PSO with GA. The simulation results have proved the efficiency of the VMs consolidation process with the security constraints in terms of time-related on uptime and downtime of the servers.
A Review on Quantum Computing Trends & Future Perspectives
Appears in:
cs 22(22): e1

Authors:
A.K. Jumani, R.A. Laghari, H. Shah, A.A. Waqan, K. Kumar, A.A. Laghari

Published:
17th May 2022

Abstract:
Over the last decade, there has been an exponential growth in high-performance computing. Computing such as cloud and fog computing is gaining popularity, whereas, Cloud computing is a computing organization where a large number of systems are connected to the internet for application, data, and storage services. Quantum computing is the use of quantum-mechanical phenomena such as superposition and entanglement to perform computation. In this paper, we describe the basic concept, history of quantum computing and development in network and cryptography, and future game design based on quantum. Specifically, we present the latest development in quantum networking and cryptography. Finally, we discuss the current research solutions and open issues for future research in quantum computing.
Investigating the IoT Security and Privacy Challenges: Summary and Recommendations
Appears in:
cs 22(22): e5

Authors:
Premlata Chauhan, Naseem Ahmad Khan, Shafeeq Ahmad, Pervez Rauf Khan

Downloads:
95

Abstract:
With the development of innovative technology transformation like cloud and Internet of Things (IoT), more technology companies are pursuing research in employing such innovations. Smart homes and cities are just two examples of the many systems and technologies that the IoT can endorse. IoT - based smart objects communicate with other parts, such as proxies, portable devices, as well as data collectors. Although these components help to tackle a number of societal issues and offer users new, cutting-edge services, their confined processing power makes them susceptible to well-known privacy and security attacks. This in turn highlights the demand for a strong technical as well as legislative foundation and asserts the significance of validity and reliability in IoT. This paper provides an insight of the IoT, security, as well as privacy challenges, and also discusses the recommendations for IoT solutions. Further we also highlighting some unresolved problems that require further study.
COVID-19 Fake News Detection Using Machine Learning Techniques: A Comparative Study
Appears in:
cs 22(22): e3

Authors:
Abderrahim Djaballah, Amor Ben El Khettab Lalmi, Mohamed Gharzouli

Downloads:
49

Abstract:
Fake news has become one of the most serious issues in recent years, especially on social media. For example, during the covid-19 pandemic, a great deal of false information about the virus spread easily and quickly through the internet. In this area, researchers have given substantial answers to this problem utilizing various machine learning techniques. However, there are some gaps that need to be clarified. In the context of COVID-19 fake news detection, in this study, we present a comparison of four major machine learning algorithms: SVM, Nave Bayes, Logistic Regression, and Random Forest. We proposed four new machine learning models by combining these algorithms with two feature extraction techniques (TF-IDF and CountVectorizer). On three datasets, we tested the suggested models and analyzed their performance. According to the obtained results, we concluded that some properties of the used datasets can affect the obtained results. In addition, we find the best model overall.
Investigation of Security Breaches Due to Resource Sharing in Virtual Machine Migration Using Hybrid Ant Colony Optimization with ANN
Appears in:
cs 22(22): e2

Authors:
Chanchal Antony, Manu A P

Downloads:
43

Abstract:
Cloud computing is one of the active research areas in High Performance Computing. It helps to share the resources globally in a distributed manner. In this paper, hybrid ACO with ANN is designed to ensure the best and the secured VM consolidation process. Initially, the objectives constraints for power consumption, resource deterioration and the SLA parameters are modelled for the Physical Machines and Virtual Machines. The selection of VMs is explored by the concept of Ant Colony Optimization that select the best VMs by the predefined SLA parameters. Also, the eavesdropping attack is also modulated in the cloud shared environment. The proposed hybrid ACO with ANN is implemented in CloudSim and it’s compared with the honeybee with GA and PSO with GA. The simulation results have proved the efficiency of the VMs consolidation process with the security constraints in terms of time-related on uptime and downtime of the servers.
Neural Networks Application for the Data of LQG Regulator for the Flexible Joint Robot
Appears in:
cs 22(22): e7

Authors:
Nguyen Cong Danh

Downloads:
37

Abstract:
This paper describes the investigation of a flexible robotic arm with Degree of Freedom (DOF) through Linear Quadratic Gaussian (LQG) regulator under the influence of noise signals with using diagrams below. The derived model is based on the Euler-Lagrange approach while LQG mode is proposed as a modern control method. A flexible robotic arm that is test in the modern regulator is essential for applications. This is even more interesting while these arms have joints that work independently of each other, but they still ensure a tight connection between the joints. Testing the stability characteristics of the system through this regulator helps readers determine the output signals of a system exactly. From here, the author came up with strategies the match the requirements. Although the initial stage of the operating cycle is not stable with the use of LQG regulator, most of later stages of this process of closed systems of robotic systems gradually become stable. In particular, adjusting LQG for flexible joint robot gives satisfactory simulation results. This promises a positive result of other joint robot. Neural networks applied in this paper have proven its effectiveness in information security issues. It is also very useful for tight control of possible situations such as a large scale attack on network systems, automated control systems. The main contributions of this paper have been clearly demonstrated through two strategies that need to be addressed: LQG, neural networks for the data of LQG regulator.The methods described above have not been previously published for this model. Therefore, this article was born to outline the above objectives and the plans have been satisfactorily implemented. These studies are important because they serve as a necessary database in the selection of control strategies according to the requirements. Simulation results are done by Matlab. The purpose of the study of this paper: the author has searched for a stability of the system through the above methods. The applied method is a thorough study of the structure of the system as well as the construction of algorithms to form the regulator. The result ia a reliable simulation of events after the system is controlled by these regulators.
A Review on Quantum Computing Trends & Future Perspectives
Appears in:
cs 22(22): e1

Authors:
A.K. Jumani, R.A. Laghari, H. Shah, A.A. Waqan, K. Kumar, A.A. Laghari

Downloads:
36

Abstract:
Over the last decade, there has been an exponential growth in high-performance computing. Computing such as cloud and fog computing is gaining popularity, whereas, Cloud computing is a computing organization where a large number of systems are connected to the internet for application, data, and storage services. Quantum computing is the use of quantum-mechanical phenomena such as superposition and entanglement to perform computation. In this paper, we describe the basic concept, history of quantum computing and development in network and cryptography, and future game design based on quantum. Specifically, we present the latest development in quantum networking and cryptography. Finally, we discuss the current research solutions and open issues for future research in quantum computing.
Application Programming Interface (API) Security in Cloud Applications
Appears in:
cs 23(23): e1

Authors:
Farhan Qazi

Downloads:
34

Abstract:
Many cloud services utilize an API gateway, which enables them to be offered to users through API platforms such as Platform as a Service (PaaS), Software as a service (SaaS), Infrastructure as a Service (IaaS) and cross-platforms APIs. APIs are designed for functionality and speed by developers who write a small portion of code, which has visibility and is secure. The code that is created from third-party software or libraries has no visibility, which makes it insecure. APIs are the most vulnerable points of attack, and many users are not aware of their insecurity. This paper reviews API security in cloud applications and discusses details of API vulnerabilities, existing security tools for API security to mitigate API attacks. The author’s study showed that most users are unaware of API insecurity, organizations lack resources and training to educate users about APIs, and organizations depend on the overall security of the network instead of the security of standalone APIs.
Service Level Agreement (SLA) Chains Supported by Cloud in a Complex Port Ecosystem with Competing Stakeholder Goals: Editorial
Appears in:
cs 22(22): e4

Authors:
C. Peoples, A. Moore, N. Georgalas

Downloads:
32

Abstract:
-
The application of a optimal controller for the flexible joint robot
Appears in:
cs 22(22): e6

Authors:
Nguyen Cong Danh

Downloads:
31

Abstract:
This paper describes the operation of a single Degree of Freedom (DOF) flexible robotic arm by the optimal controller. The derived model is based on Euler- Lagrange approach, while the first and second-order (super twisting) Sliding Mode Control (SMC) is proposed as a nonlinear control strategy. Exploration of a flexible robotic arm with using state-of-the-art controllers is essential for practical applications. This is even more refreshing when these arms have joints that work independently of each other to create a smooth connection between the joints, but it still ensures the natural properties like a real human arm. This system has many similarities with the flexible link system of the MIMO model in its operational state analysis. Control laws must be followed by logical rules in a coherent whole. The next step is to design a controller to fit the structure of the system. The author also compared the use of the above controller with a system without using any controller to determine the effectiveness of using the above controller.
System Modeling and Artificial Neural Network (ANN) Design for Lateral and Longitudinal of F-16
Appears in:
cs 22(22): e8

Authors:
Nguyen Cong Danh

Downloads:
25

Abstract:
Today, the classical control methods are still widely used because of their excellent performance in a working environment with conditions of geo-graphical distance. They are suitable for functions of the system: more flexible operating system, easy to perform, less unwanted ricks occur, the efficiency of controlling a system better. Besides the traditional control methods, the author has applied more modern and smarter algorithms such as artificial intelligence to control a system on the ground or a system moving in the air. In this paper, artificial neural network (ANN) is applied for a flight model to demonstrate its effectiveness in all cases. ANN in this article to show off its amazing application for flying devices. This is a useful method because it is highly secure. Simulation is done by Matlab.

Publisher: EAI
ISSN: 2410-6895
Number of Volumes: 7

Last Published: 2023-10-17

Application Programming Interface (API) Security in Cloud Applications

System Modeling and Artificial Neural Network (ANN) Design for Lateral and Longitudinal of F-16

Neural Networks Application for the Data of LQG Regulator for the Flexible Joint Robot

The application of a optimal controller for the flexible joint robot

Investigating the IoT Security and Privacy Challenges: Summary and Recommendations

Service Level Agreement (SLA) Chains Supported by Cloud in a Complex Port Ecosystem with Competing Stakeholder Goals: Editorial

COVID-19 Fake News Detection Using Machine Learning Techniques: A Comparative Study

Investigation of Security Breaches Due to Resource Sharing in Virtual Machine Migration Using Hybrid Ant Colony Optimization with ANN

A Review on Quantum Computing Trends & Future Perspectives