Utilizing Cloud Computing Research Articles

Toward the efficient service selection approaches in cloud computing

PurposeThis paper follows a systematic literature review (SLR) method covering the published studies until March 2021. The authors have extracted the related studies from different online databases utilizing quality-assessment-criteria. In order to review high-quality studies, 32 papers have been chosen through the paper selection process. The selected papers have been categorized into three main groups, decision-making methods (17 papers), meta-heuristic methods (8 papers) and fuzzy-based methods (7 papers). The existing methods in each group have been examined based on important qualitative parameters, namely, time, cost, scalability, efficiency, availability and reliability.Design/methodology/approachCloud computing is known as one of the superior technologies to perform large-scale and complex computing. With the growing tendency of network service users to utilize cloud computing, web service providers are encouraged to provide services with various functional and non-functional features and supply them in a service pool. In this regard, choosing the most appropriate services to fulfill users' requirements becomes a challenging problem. Since the problem of service selection in a cloud environment is known as a nondeterministic polynomial time (NP)-hard problem, many efforts have been made in recent years. Therefore, this paper aims to study and assess the existing service selection approaches in cloud computing.FindingsThe obtained results indicate that in decision-making methods, the assignment of proper weights to the criteria has a high impact on service ranking accuracy. Also, since service selection in cloud computing is known as an NP-hard problem, utilizing meta-heuristic algorithms to solve this problem offers interesting advantages compared to other approaches in discovering better solutions with less computational effort and moving quickly toward very good solutions. On the other hand, since fuzzy-based service selection approaches offer search results visually and cover quality of service (QoS) requirements of users, this kind of method is able to facilitate enhanced user experience.Research limitations/implicationsAlthough the current paper aimed to provide a comprehensive study, there were some limitations. Since the authors have applied some filters to select the studies, some effective works may have been ignored. Generally, this paper has focused on journal papers and some effective works published in conferences. Moreover, the works published in non-English formats have been excluded. To discover relevant studies, the authors have chosen Google Scholar as a popular electronic database. Although Google Scholar can offer the most valid approaches, some suitable papers may not be observed during the process of article selection.Practical implicationsThe outcome of the current paper will be useful and valuable for scholars, and it can be a roadmap to help future researchers enrich and improve their innovations. By assessing the recent efforts in service selection in cloud computing and offering an up-to-date comparison of the discussed works, this paper can be a solid foundation for understanding the different aspects of service selection.Originality/valueAlthough service selection approaches have essential impacts on cloud computing, there is still a lack of a detailed and comprehensive study about reviewing and assessing existing mechanisms in this field. Therefore, the current paper adopts a systematic method to cover this gap. The obtained results in this paper can help the researchers interested in the field of service selection. Generally, the authors have aimed to specify existing challenges, characterize the efficient efforts and suggest some directions for upcoming studies.

Promotion and Utilization of Cloud Computing in Manufacturing Sector in India

Cloud computing-the provision of infinitely ascendable computing resources as a service over the Internet-is within the method of remodelling just about each aspect of contemporary producing. Whether or not it’s however producing enterprises operate, however they integrate into provide chains, or however merchandise area unit designed, fabricated, and employ by the customers, cloud computing helps makers pioneer, cut back prices, and increase their aggressiveness. Critically, cloud computing permits makers to use several kinds of new production systems, from 3D printing, and superior computing (HPC) to the Internet of Things (IoT) and industrial robots. Moreover, cloud computing make accessible to everyone through this technology. This research article describes however cloud computing permits trendy producing, provides real-word case studies of this method in action, and recommends actions policymakers will desire guarantee cloud computing continues to remodel producing and India’s producing aggressiveness.

Promotion and Utilization of Cloud Computing in Manufacturing Sector in India

Cloud computing-the provision of infinitely ascendable computing resources as a service over the Internet-is within the method of remodelling just about each aspect of contemporary producing. Whether or not it’s however producing enterprises operate, however they integrate into provide chains, or however merchandise area unit designed, fabricated, and employ by the customers, cloud computing helps makers pioneer, cut back prices, and increase their aggressiveness. Critically, cloud computing permits makers to use several kinds of new production systems, from 3D printing, and superior computing (HPC) to the Internet of Things (IoT) and industrial robots. Moreover, cloud computing make accessible to everyone through this technology. This research article describes however cloud computing permits trendy producing, provides real-word case studies of this method in action, and recommends actions policymakers will desire guarantee cloud computing continues to remodel producing and India’s producing aggressiveness.

A Study of Data Storage for E –Learning in Cloud Computing

Cloud computing provides on demand services to its clients. Data storage is among one of the primary services provided by cloud computing. Cloud service provider hosts the data of data owner on their server and user can access their data from these servers. As data, owners and servers are different identities, the paradigm of data storage brings up many security challenges. An independent mechanism is required to make sure that data is correctly hosted in to the cloud storage server. In this paper, we will discuss the different techniques that are used for secure data storage on cloud. PC based research facilities are an essential part of the e-learning condition. With the presentation of Cloud Computing innovations an ever increasing number of labs move into the cloud, known as virtual labs. While there are numerous advantages for utilizing virtual labs, there is likewise an expansion unpredictability in regards to the use of them. There are numerous cloud administration frameworks (Cloud MS) which include an additional layer of multifaceted nature to the e-taking in encounter both from the point of view of the educator and of the understudy. The reason for the investigation is to recognize approaches to enhance the learning procedure using distributed computing advances, while lessening the unpredictability related with these advances the principle center is about the asking for, creation, arrangement, observing and administration of virtual labs utilizing Cloud Computing. IBM Tivoli Service Automation Manager and VMware Hypervisor are utilized for building a private cloud.

Update of laws in library and information science it's a time to reinvent and reposition and stay relevant with cloud computing: Descriptive study

Users'interest for delivery of library assets is relied upon to develop powerfully, prompting appeal for data and asses and utility (JCT). The assets accessible from the library and data focus may not be adequate to satisfy the needs of library clients. The answer for your library and data focus should utilize Cloud Computing. The objective off distributed computing is to make cost investment funds on machine, equipment, programming, and assets improved among library clients where various clients need various things. This archive is expected to take on distributed computing in the library and data focus, which will be a new and exceptionally helpful innovation to utilize library assets as far as the major laws offlibrary science.

Development of Teaching Materials in COVID-19 Pandemic

As an urgent issue, current education and training institutions are required to deal with the new coronavirus disease 2019. Against this background, it is necessary for any instructors to easily create teaching materials that can be quickly switched to distance learning at the minimum cost. This paper describes teaching materials development method that uses existing software and tools. Distance learning utilizes cloud computing. Based on these policies, we have created injection molding mold design teaching materials that students studying molds can learn while self-checking their understanding. With these texts, explanatory materials, and recorded teaching materials, the design process can be systematically grasped. Therefore, students studying mold design can easily understand. In addition, since these teaching materials are digital data, they can also be used as implementation reports to appeal in job hunting. The instructors who use these teaching materials repeat editing according to the vocational training. Thus, it will be highly effective training materials.

P2P Network Based Smart Parking System Using Edge Computing

Smart parking techniques are widely used in smart city and intelligent transportation systems. However, how to build a friendly and effective smart parking system in a large city is still a challenge. This paper proposes a P2P network based smart parking system using Edge Computing. It utilizes Cloud Computing, Edge Computing, and P2P network techniques to provide plenty of services including parking space inquiry, navigation, vehicle license plate recognition, payment, and accident query. The architecture of the system and the related protocols and algorithms are presented in detail. Compared with the existing smart parking systems, the proposed system is more friendly and effective.

A Programmable SoC-Based Accelerator for Privacy-Enhancing Technologies and Functional Encryption

A multitude of privacy-enhancing technologies (PETs) has been presented recently to solve the privacy problems of contemporary services utilizing cloud computing. Many of them are based on additively homomorphic encryption (AHE) that allows the computation of additions on encrypted data. The main technical obstacles for adaptation of PETs in practical systems are related to performance overheads compared with current privacy-violating alternatives. In this article, we present a hardware/software (HW/SW) codesign for programmable systems-on-chip (SoCs) that is designed for accelerating applications based on the Paillier encryption. Our implementation is a microcode-based multicore architecture that is suitable for accelerating various PETs using AHE with large integer modular arithmetic. We instantiate the implementation in a Xilinx Zynq-7000 programmable SoC and provide performance evaluations in real hardware. We also investigate its efficiency in a high-end Xilinx UltraScale+ programmable SoC. We evaluate the implementation with two target use cases that have relevance in PETs: privacy-preserving computation of squared Euclidean distances over encrypted data and multi-input functional encryption (FE) for inner products. Both of them represent the first hardware acceleration results for such operations, and in particular, the latter one is among the very first published implementation results of FE on any platform.

Development of Reinforcement Learning and Pattern Matching (RLPM) Based Firewall for Secured Cloud Infrastructure

Cloud computing infrastructure is typically intended to store and deliver sensitive data and high performance computing resources through the internet. As the utility of cloud computing has increased to larger extend because of its sophisticated services, the security breaches also growing proportionately in terms of third party attacks. In order to mitigate the modern security attacks in the cloud environment, the traditional firewall rules and packet filtering methods are absolutely insufficient. Hence, a Deep Packet Inspection based firewall (RLPM) is developed to block the malicious attacks by validating the payload signature of arriving packets. RLPM combines the potential of Reinforcement Learning (RL) and parallel fast pattern matching simultaneously and it converges to an optimal solution at the earliest. RL method efficiently learns the environment and process the payload signature in a parallel manner. A two-way pattern matching algorithm is integrated with RL approach that validates the signature towards attaining the quick decisions. The performance results show that the RLPM is better as compared to the existing methods in terms of Response time, throughput and malicious attack blocking. As the firewall is deployed and tested in a real cloud computing environment, the response time is found to be 10% lesser while throughput is also increased about 10% than the existing state-of-the-art-methods.

SPHN - The BioMedIT Network: A Secure IT Platform for Research with Sensitive Human Data.

The BioMedIT project is funded by the Swiss government as an integral part of the Swiss Personalized Health Network (SPHN), aiming to provide researchers with access to a secure, powerful and versatile IT infrastructure for doing data-driven research on sensitive biomedical data while ensuring data privacy protection. The BioMedIT network gives researchers the ability to securely transfer, store, manage and process sensitive research data. The underlying BioMedIT nodes provide compute and storage capacity that can be used locally or through a federated environment. The network operates under a common Information Security Policy using state-of-the-art security techniques. It utilizes cloud computing, virtualization, compute accelerators (GPUs), big data storage as well as federation technologies to lower computational boundaries for researchers and to guarantee that sensitive data can be processed in a secure and lawful way. Building on existing expertise and research infrastructure at the partnering Swiss institutions, the BioMedIT network establishes a competitive Swiss private-cloud - a secure national infrastructure resource that can be used by researchers of Swiss universities, hospitals and other research institutions.

IoT Based Cloud Integrated Smart and Sustainable Classroom

Now a day, every educational environment requires an evolution of classrooms from traditional model to a more active model of classrooms. The main objective of a classroom model is to spend more time on teaching and learning and less on organizing and monitoring the workflow of the classroom. This project proposes “IoT based Cloud Integrated Smart and sustainable Classroom”. Smart classroom is developed to monitor and regularize the activities like assignments, projects, tutorial submission and attendance monitoring of the Students or scholar at ease in real time by the faculty, mentor or advisor. The proposed system monitors and reports whether the assignments, projects, tutorial is submitted on or before scheduled timeline, and sends the remainder notification to complete the assigned work in stipulated time. The proposed system utilizes Cloud Computing and Internet of Things, where sensors and processors are embedded in physical objects to form a network and communicate information with ease. RF identity card reader is fixed at each classroom to monitor the Students and give them alert, so that they meet the faculty or mentor for getting permission for attending the class if they failed to submit their work on time. Thus, by reducing the work of management, time for teaching and learning will be increased resulting in high performance of the classroom.

IoT Based Cloud Integrated Smart and Sustainable Classroom

Now a day, every educational environment requires an evolution of classrooms from traditional model to a more active model of classrooms. The main objective of a classroom model is to spend more time on teaching and learning and less on organizing and monitoring the workflow of the classroom. This project proposes “IoT based Cloud Integrated Smart and sustainable Classroom”. Smart classroom is developed to monitor and regularize the activities like assignments, projects, tutorial submission and attendance monitoring of the Students or scholar at ease in real time by the faculty, mentor or advisor. The proposed system monitors and reports whether the assignments, projects, tutorial is submitted on or before scheduled timeline, and sends the remainder notification to complete the assigned work in stipulated time. The proposed system utilizes Cloud Computing and Internet of Things, where sensors and processors are embedded in physical objects to form a network and communicate information with ease. RF identity card reader is fixed at each classroom to monitor the Students and give them alert, so that they meet the faculty or mentor for getting permission for attending the class if they failed to submit their work on time. Thus, by reducing the work of management, time for teaching and learning will be increased resulting in high performance of the classroom.

Utilization of Cloud Computing in Economics Education and Health Economics: A Valuable Resource

This paper examines the use of cloud computing as a tool in economics education and analysis of performance in health economics. The paper methodology was documentary analysis. Three independent experts assisted in the extraction of information used in this research paper. Results indicate a growing need to advance the economic utility of cloud computing as a technological tool in economics education and analysis of economic performance in health economics. Empirical studies are required to corroborate the extent to which cloud computing is being utilized as a technological tool in several institutions and organizations for analysis of economic performance and educational purposes.

Android Based Rural Decision Support Information System Model

The village needs to develop the independence and well-being of the community by improving knowledge, attitudes, skills, behavior, capacity, awareness, in utilizing resources through the determination of policies, programs, activities and mentoring that in accordance with the essence of the problem and the various priority needs of the villagers. The purpose of this research relates to the implementation of LAW Number 6 year 2014 Village, one of them about the potential information system Web-based integrated village to open information organization of Village governance to the public, the openness of public information so that citizens can be active together with the Government to build the village. Information is indispensable to know include: administration of the potential of the village, population administration, administration of research Objects, Village profile Village July Tambo Tanjong village, the village of Alue "Buya" Term Abeuk Budi with characteristic different Village , Research methods using Stochastic models and making the algorithm the Program so that the formation of a Database of android-based integrated Village by utilizing Cloud Computing and Mobile Computing, that makes it easier for users (community) in the to access the information in the respective decisions.. Models of decision support information systems Integrated Rural-based Android is the community to know how to make use of the existing resources for the activities of the noble mandate of appropriate LAW village. Research results are very useful especially for researchers as knowledge and very benefit to Central Government, Government Tk. I, Government Tk. II, Government districts and especially in the reign of the village as well as society in General.

Supporting Programmable Autoscaling Rules for Containers and Virtual Machines on Clouds

With the increasing utilization of cloud computing and container technologies, orchestration is becoming an important area on both cloud and container levels. Beyond resource allocation, deployment and configuration, scaling is a key functionality in orchestration in terms of policy, description and flexibility. This paper presents an approach where the aim is to provide a high degree of flexibility in terms of available monitoring metrics and in terms of the definition of elasticity rules to implement practically any possible business logic for a given application. The aim is to provide a general interface for supporting programmable scaling policies utilizing monitoring metrics originating from infrastructure, application or any external components. The paper introduces a component, called Policy Keeper performing the auto-scaling based on user-defined rules, details how this component is operating in the auto-scaling framework, called MiCADO and demonstrates a deadline-based scaling use case.

Integrated Rural Decision Support System Model Based on Android

The village needs to develop the independence and welfare of the community by increasing knowledge, attitudes, skills, behaviors, abilities, awareness, and utilizing resources through the establishment of policies, programs, activities and mentoring in accordance with the essence of the problems and priorities of the needs of the village community, related to the implementation of The Village Law Number 6 of 2014, one of which is about an integrated village-based village potential information system to open information on the implementation of village governance to the public, with the opening of public information the citizens can be more active together with the government to build the village. Information that needs to be known, among others:, Village administration potential, population administration, Village profile administration. The object of research was Juli Tambotanjong Village, Alue Buya Term Village, Abeuk Budi Village with different Village characteristics, so that the formation of an integrated Android-based Village Database utilizing Cloud Computing and Mobile Computing, which made it easier for users (communities) to access information in making decisions. -that. And the purpose of the Integrated Rural Decision Support Information System Model Based on Android.

Cloud computing-based high accuracy surface modeling method for China’s Poyang Lake basin DEM generation

The increasing availability of big spatial data demands large-scale surface modeling methods. To find a solution for large-scale surface modeling problem, based on previously developed high accuracy surface modeling (HASM) method, an extended high accuracy surface modeling method utilizing cloud computing is developed. The developed method was run on a Hadoop-based cloud computing environment comprising four computers and applied for China’s Poyang Lake basin digital elevation model construction. The experiments results indicate that the cloud computing-based method outperforms the general sequential method based on single computer significantly and attains three times speedups. Furthermore, the improved schedule algorithm for cloud computing-based HASM has further accelerated the computing speed.

Attribute-Based Collusion Resistance in Group-Based Cloud Data Sharing using LKH Model

Utilizing cloud computing, users can avail a compelling and effective approach for information sharing between collective individuals in the cloud with the facility of less administration cost and little maintenance. Security in cloud computing refers to procedures, standards and processes created to provide assurance for security of information in the cloud environment. In this paper, we project a secure data sharing method in cloud for dynamic members by producing keys for users using Logic Key Hierarchy (LKH) model, i.e., a tree-based key generation technique. We have generated this key using reverse hashing and one way hash-based technique so that no exiled user can predict the new key and new users cannot predict the old keys of the network group. From numerous experiments, this work is proved to be the best in maintaining forward secrecy, backward secrecy and group compromise attacks and consumes less computation cost compared to any other hash-based key generation techniques.

Application of Billing Pos (point of Sales) on Cloud Computing for Restaurant by Using IoT (internet of Things) Device with Data Synchronized Method in The Reporting Process

In this study POS (Point Of Sales) Billing System was designed and built with more affordable prices onRestaurant Taxpayers using IoT (Internet Of Thing) devices by utilizing Cloud Computing technology that cansending sales report data in realtime to the server owned by the Probolinggo Regency Financial and AssetAgency. The input from this study is data that is sent in realtime from a billing machine, from a series of tests thathave been carried out that can run smoothly, that is proven by measuring data transmission with speed inaccessing article data an average of 0.7833 seconds / data transactions compared manually. So that through thisapplication, estimates of regional revenue targets can be monitored directly.

A Review on Cloud Computing Security

Cloud computing is a technology that maintain the data and application by using the central remote server with the internet connection. By utilizing cloud computing, user can reduce their costs as they no need to purchase their own hardware and software. However cloud computing still has many issues concerning securities, such as privacy issues, loss of data and stolen of data. Some security issues over cloud services including confidentiality, integrity, availability, privacy and attacks are concerned by the users. This paper reviews some of the issues and its current solutions.