Cloud Service Architecture Research Articles

A Web Data Mining Algorithm Based on Manifold Distance for Mixed Data in Cloud Service Architecture

Due to the complex distribution of web data and frequent updates under the cloud service architecture, the existing methods for global consistency of data ignore the global consistency of distance measurement and the inability to obtain neighborhood information of data. To overcome these problems, we transform the multi-information goal and multi-user demand (constraint conditions) in web data mining into a constrained multi-objective optimization model and solve it by a constrained particle swarm multi-objective optimization algorithm. While we measure the distance between data by manifold distance. In order to make it easier for the constrained multi-objective particle swarm algorithm to solve different types of problems to find an effective solution set closer to the real Pareto front, a new manifold learning algorithm based on the constrained multi-objective particle swarm algorithm is built and used to solve this problem. Experiments results demonstrate that this can improve the service efficiency of cloud computing.

Enabling the Ocean Internet of Things with Renewable Marine Energy

Marine renewable energy can play an integral role in reducing the cost and complexity of collecting data from the oceans, and enhancing its exploitation. The processing and transmission of data at sea may be modelled as an `internet of things' (IoT) application. The `thing' is any offshore device which can collect and process data in-situ, while the `internet' represents the medium for transmitting data. IoT is differentiated from other internet based communication paradigms by the constraints on the system. These constraints are typically limited energy budgets and computing power, intermittent and low-bandwidth connectivity, and limited physical access. While land based IoT applications are already well served by a wide selection of hardware and software components, the needs of offshore IoT applications are not well served. Utilizing marine energy can advance the adoption of IoT at sea by providing in-situ energy generation, whilst also benefitting from the same technology. The Sustainable Energy Authority of Ireland funded `BlueBox' project aims to overcome barriers to entry for applying IoT technologies to offshore sensing by developing Ocean IoT (OIoT) hardware and software solutions. Features of the BlueBox system include modular offshore focussed hardware, no-code configuration and control of peripherals (such as sensors and actuators), duplex transmission of data using multiple media, serverless cloud server architecture and an edge computing framework. This paper presents an overview of BlueBox, tank tests for system validation of a prototype wave-energy powered ocean-observing platform, and a discussion of future applications of the technology.

A PHP Implementation of a Smart Tourism Management System under A Cloud Computing Platform

This paper collects and analyzes the use of cloud computing technology in the tourism industry at home and abroad, combines its advantages and disadvantages, uses PHP language for web design, service modeling and data modeling, and then proposes a tourism cloud service architecture. According to the characteristics of tourism business, the system construction of the tourism cloud platform is divided into three parts: private tourism cloud, tourism exclusive cloud, and tourism public cloud. In addition, specific and detailed planning and design of the tourism private cloud platform have been carried out, and the efficiency has increased by 7.12%. And in response to the rapid growth of tourism data, this article also proposes a recommendation algorithm based on tourist and scenic spot information.

SAUSA: Securing Access, Usage, and Storage of 3D Point CloudData by a Blockchain-Based Authentication Network

The rapid development of three-dimensional (3D) acquisition technology based on 3D sensors provides a large volume of data, which are often represented in the form of point clouds. Point cloud representation can preserve the original geometric information along with associated attributes in a 3D space. Therefore, it has been widely adopted in many scene-understanding-related applications such as virtual reality (VR) and autonomous driving. However, the massive amount of point cloud data aggregated from distributed 3D sensors also poses challenges for secure data collection, management, storage, and sharing. Thanks to the characteristics of decentralization and security, Blockchain has great potential to improve point cloud services and enhance security and privacy preservation. Inspired by the rationales behind the software-defined network (SDN) technology, this paper envisions SAUSA, a Blockchain-based authentication network that is capable of recording, tracking, and auditing the access, usage, and storage of 3D point cloud datasets in their life-cycle in a decentralized manner. SAUSA adopts an SDN-inspired point cloud service architecture, which allows for efficient data processing and delivery to satisfy diverse quality-of-service (QoS) requirements. A Blockchain-based authentication framework is proposed to ensure security and privacy preservation in point cloud data acquisition, storage, and analytics. Leveraging smart contracts for digitizing access control policies and point cloud data on the Blockchain, data owners have full control of their 3D sensors and point clouds. In addition, anyone can verify the authenticity and integrity of point clouds in use without relying on a third party. Moreover, SAUSA integrates a decentralized storage platform to store encrypted point clouds while recording references of raw data on the distributed ledger. Such a hybrid on-chain and off-chain storage strategy not only improves robustness and availability, but also ensures privacy preservation for sensitive information in point cloud applications. A proof-of-concept prototype is implemented and tested on a physical network. The experimental evaluation validates the feasibility and effectiveness of the proposed SAUSA solution.

Demonstration of application program of logistics public information management platform based on fuzzy constrained programming mathematical model

Abstract As the main development direction of the new era, it not only makes rational use of modern technology and information resources, but also optimizes the overall level of urban logistics planning, construction and management. Now, with the continuous improvement of residents’ living standards, it has gradually become the focus of attention. The difference between the Internet of Things and the digital city’s public information platform based on the comprehensive perception of urban information resources allows in-depth exploration and analysis, and ultimately improves the overall urban logistics construction management service level. On the basis of understanding the current scientific research results and public information management platform construction experience, starting from the construction of the current public information management platform, based on the information cloud service architecture, verify and analyze the operation of the public information management platform of the information cloud service architecture. Can lay the foundation for construction. From the perspective of logistics, this paper makes an in-depth exploration of the uncertainty of production and customer demand in public system management, and gives a mathematical model of fuzzy constrained programming combined with the characteristics of the information cloud structure to solve the detailed aspects of the system at a higher level.

Research on Mobile Ideological and Political Teaching in Universities Based on the Android Platform

The traditional ideological and political teaching is very old-fashioned, the teaching content is very fixed, and the teaching methods are very old. Based on the analysis of the problems existing in the traditional teaching mode, this study proposes a cloud service architecture plan with cloud, network, and terminal as the core design ideas., clarifies the goals and problems to be solved, and then conducts functional requirements analysis. In the system design stage, the whole system is firstly designed as a whole, and then the business process in the teaching system is analyzed, the redundant business in the business process is found, and the process is reorganized. The mobile learning system based on the Android platform meets the existing teaching needs and can be expanded to a certain extent. It can achieve good results in teaching application and make certain contributions to the construction of educational informatization, improving learning efficiency and enhancing students’ autonomous learning ability.

A Multiserver Configuration and Request Distribution Framework for Profit Maximization in a Three-Tier Cloud Service Architecture

The rapid development of cloud computing has generated numerous cloud service providers. In a three-tier cloud service architecture, maximizing the cloud service profit is not only a goal pursued by cloud service providers but also a potent force that drives the continuous development of cloud computing technology. The traditional methods of maximizing cloud service profits are either limited to cloud resource management or service request distribution. Few work contributes to maximizing the profit of cloud service providers while considering both resource management and request distribution. Besides, the heterogeneity of servers is also an important concern when configuring the multiserver system. Therefore, this paper proposes a multiserver configuration and request distribution framework oriented to a three-tier cloud service architecture for maximizing the profit of cloud service providers. Compared with the benchmark method, extensive numerical simulation experiments show that our proposed framework can not only maximize the profit of cloud service providers, but also has a well-time efficiency.

Improved Interaction of BIM Models for Historic Buildings with a Game Engine Platform

For the purpose of the conservation and representation of cultural heritage, the development of a visual interactive environment to provide an integrated application suitable for collecting a wide range of big data information from historic blocks is regarded as an effective solution. In this study, the existing modeling of wooden building information is imported into a game engine as a practical study for the design of a user-friendly interactive interface design, a Unity integration platform is built, a Revit external application is developed, and cloud services architecture is set to solve the transmission and integration of information models between different platforms. In addition to strengthening the future application of historic building information modeling, this visual information-based interactive environment can help enhance communication and subsequent management of repairs, and bring opportunities for sustainable management and diversified applications to the research field of historic building restoration.

Integrated balancing approach for hosting services with optimal efficiency - Self Hosting with Docker

With the emergence of giant corporations that provide cloud services and gaining a monopoly over the market, the increasing need for low cost and secure services for hobbyists of industry level projects can be satisfied by using self-hosting the cloud services rather than cloud-hosted services. As cloud service architecture is less flexible and less secure in terms of performance due to its underlying approach in its infrastructure, a self-hosted service looks more adequate for this manner. This paper implements the use of hosting services with an addition of Docker and Nginx platform, a way to prevent the mentioned instances with additional capabilities giving the user more freedom and flexibility. Docker in Portainer is used to contain more containers in a single Raspberry Pi, without which each container requires separate devices.

Loki: A Physical Security Key Compatible IoT Based Lock for Protecting Physical Assets

The twenty first century has witnessed an enormous rise in data produced per person and it has also witnessed newer and advanced forms of digital attacks and instinctively, witnessed a rise in the need for data protection. However, the essential assets are still physical and needs to be protected. Usually vaults, lockers, safes and so on and used for the safe keeping of the physical assets. However, studies have shown they are vulnerable to various attacks. This paper proposes a novel and robust physical lock for safekeeping of physical assets called Loki. A Physical Security key is used to authenticate the lock and it uses a cloud-server architecture. It employs best cloud security practices, proper use of cryptography and trusted computing to mitigate all common risks. The cloud architecture runs a Virtual Machine (VM) to securely authenticate using Fast IDentity Online (FIDO2) specifications. The physical authenticator data is stored in the cloud for security and only accessed when an unlock is requested. The cloud allows web-based physical key management for adding more keys or removing keys. The whole system has been implemented in a Internet of Things (IoT) scenario.

Software Architecture of an Automated Greenhouse Complex based on Cloud Technologies

To grow crops in greenhouse complexes, it is necessary to maintain the microclimatic conditions required for these crops and monitor them. Automation of these processes is an urgent task, and for its solution it is necessary to use both hardware and software. The paper proposes a cloud service architecture for managing robotic vertical farms, which allows for reliable two-way data transfer between the greenhouse modules and the operator and can be used for growing crops both in vertical hydroponic installations and in single-level greenhouses of greenhouses. The business processes are described that allow you to understand and evaluate the principles of organizing monitoring and management of cultivation. On the basis of the developed architecture, software has been implemented, which has been tested in the tasks of managing the greenhouse complex and obtaining data on the microclimate. Thanks to the use of wireless networks, the absence of restrictions on the type and location of modules, duplication of functionality and data replication, such a system can be considered flexible in use and scalable.

Research on BaaS-based tourism logistics cloud platform architecture in the perspective of territorial tourism

<p>On the basis of the analysis of the new tourism logistics mode in the perspective of the whole area tourism, it points out the change to the city The new requirements of the public operation and management service platform of tourism logistics in the city region are pointed out, and the necessity of building a cloud service architecture for urban tourism logistics is established. The necessity of constructing urban tourism logistics cloud service system architecture is established. The feasibility of applying blockchain technology to the construction of tourism logistics cloud service platform is also analyzed accordingly. At the same time, the framework model of hybrid cloud architecture of urban tourism logistics based on BaaS is proposed. </p>

SKT

Data analysts often need to characterize a data stream as a first step to its further processing. Some of the initial insights to be gained include, e.g., the cardinality of the data set and its frequency distribution. Such information is typically extracted by using sketch algorithms, now widely employed to process very large data sets in manageable space and in a single pass over the data. Often, analysts need more than one parameter to characterize the stream. However, computing multiple sketches becomes expensive even when using high-end CPUs. Exploiting the increasing adoption of hardware accelerators, this paper proposes SKT , an FPGA-based accelerator that can compute several sketches along with basic statistics (average, max, min, etc.) in a single pass over the data. SKT has been designed to characterize a data set by calculating its cardinality, its second frequency moment, and its frequency distribution. The design processes data streams coming either from PCIe or TCP/IP, and it is built to fit emerging cloud service architectures, such as Microsoft's Catapult or Amazon's AQUA. The paper explores the trade-offs of designing sketch algorithms on a spatial architecture and how to combine several sketch algorithms into a single design. The empirical evaluation shows how SKT on an FPGA offers a significant performance gain over high-end, server-class CPUs.

Cloud Implementation to Assist Teachers of English to Speakers of Other Languages in HEI’s in Sultanate of Oman

Cloud Computing has been implemented in diverse fields and sector, including education sector with a very good success rate. The cloud deployments enhance the learning experience and provisions appropriate IT resources critical for a specific learning environment. This research study exploits a service model to deliver appropriate learning resources to foundation students and teachers that otherwise is not available with the current cloud service architectures. Language should not be a barrier to learning, teaching subjects in English to those who are not native English speakers, most of the times is a challenging job especially in circumstances where the English Language is introduced late in the school academic curriculum. There are several challenges faced by students, and teachers. Several mechanisms have been suggested and adopted to deal with such situations so that student learning experience is not affected in a significant manner, and at the same time, teachers are also not facing problems while explaining concepts or topics to students. This research paper is a study on helping teachers and students in these situations by providing cloud-based knowledge base related to TESOL (Teachers of English to Speakers of Other Languages), repositories, and apps that may help and assist teacher and students.

Elastic Metro Ethernet and Elastic Cloud Services

Lifecycle Services Orchestration (LSO) architecture for Metro Ethernet Services was introduced by MEF. In the LSO architecture, the ALLEGRO interface was defined for dynamic service control between customer and Service Provider while the INTERLUDE interface was defined between Orchestrators of two Operators to initiate a technical operation or dynamic service control. In order to address dynamic control of services supported by networks of multiple operators over ALLEGRO and INTERLUDE interfaces, Elastic E-Line Service was introduced by the author in MEF. In addition, Cloud Services Architecture was introduced as an architectural framework for virtual services by the author. In this paper, we describe LSO architecture and Elastic E-Line Service concept, and interactions between various LSO entities for dynamic service provisioning. After that, we describe Cloud Services Architecture and dynamic modifications of Elastic Cloud Services over ALLEGRO and INTERLUDE interfaces, for the first time.

Toward security as a service: A trusted cloud service architecture with policy customization

With the rise of concerns over security and privacy in the cloud, the “security-on-demand” service mode dynamically provides cloud customers with trusted computing environments according to their specific security needs. Major challenges, however, remain to achieve this goal: (1) integrating an auditable, tamper-resistant trust-management mechanism into the cloud infrastructure and (2) building a protocol to guarantee the consistency of customers’ policies during virtual machine (VM) migrations. This study develops a new security-on-demand framework called a “policy-customized trusted cloud service” (PC-TCS) architecture that comprises two core components: an attribute-based signature (ABS)-based remote-attestation scheme to achieve trusted remote attestation with customized security policies and an ABS- and blockchain-based VM-migration protocol to support policy-customized trusted migration. To prove the availability of this architecture, we implemented a PC-TCS prototype based on Xen Hypervisor, the results of which indicate that (1) PC-TCS can be integrated into cloud infrastructure as part of a trusted computing base; (2) cloud users can customize the security policies of computing environments and validate their enforcement throughout the service life-cycle with the support of PC-TCS; and (3) PC-TCS can support policy-customized remote attestation and policy-customized migration with a minimal impact on performance.

Mobile-based Skin Lesions Classification Using Convolution Neural Network

This research work is aimed at investing skin lesions classification problem using Convolution Neural Network (CNN) using cloud-server architecture. Using the cloud services and CNN, a real-time mobile-enabled skin lesions classification expert system “i-Rash” is proposed and developed. i-Rash aimed at early diagnosis of acne, eczema and psoriasis at remote locations. The classification model used in the “i-Rash” is developed using the CNN model “SqueezeNet”. The transfer learning approach is used for training the classification model and model is trained and tested on 1856 images. The benefit of using SqueezeNet results in a limited size of the trained model i.e. only 3 MB. For classifying new image, cloud-based architecture is used, and the trained model is deployed on a server. A new image is classified in fractions of seconds with overall accuracy, sensitivity and specificity of 97.21%, 94.42% and 98.14% respectively. i-Rash can serve in initial classification of skin lesions, hence, can play a very important role early classification of skin lesions for people living in remote areas.

Wisdom as a Service for Mental Health Care

Brain informatics adopts a systematic methodology to study clinical diagnosis and pathology of mental disorders from macro, meso and micro points of view. Systematic studies produce multi-level and multi-aspect health big data of mental disorders. Effectively integrating multi-level mental health big data and providing multi-level and content-oriented data services for different types of users by an open and extendable mode becomes new requirements on the acquisition and computing of mental health big data. The existing Data-Brain-based brain data center cannot meet these new requirements. This paper proposes a brain and health big data center and develops a content-oriented cloud service architecture, namely, wisdom as a service, for realizing the brain and health big data center. The illustrative example demonstrates significance and usefulness of the proposed approach.

Technological Imperative: Current Trends in the Foreign Market of Library Technologies

Currently, innovations in the field of information technology are increasingly becoming the key to the company’s success, its main competitive advantage. The library business is no exception in this regard. The purpose of the study is to study the current trends in the foreign market of library technologies as a factor that directly affects the methods and forms of library work based on information provided on the websites of foreign companies, as well as in summary reports on the development dynamics of the market of library technologies. Specialized companies offer to libraries the new resource management technologies, metadata sets for expanding collection or software tools for optimizing electronic catalogues. They are the providers of innovation for libraries, intermediaries between the end user and the advanced achievements of IT technologies.The author notes that among the priorities of the development of library technology industry the unchallenged leadership belongs to library-information systems of the new generation: first, library service platforms that use cloud technologies and service architecture, and second, advanced integrated library systems with the addition of Web modules, Web applications, etc. The hidden spring of the development of foreign market of library technologies is the fundamental change in the concept of library automation, the transition from unified library systems, managing print and electronic resources and basing on client-server architecture, to universal library service platforms with cloud storage.The author analyses in detail the trends of the library technology market in the United States as the most developed and active market, as well as in Europe and Latin America. The article draws attention to the companies — leaders in the competitive struggle in the market of library technologies. The author concludes that reorientation to network technologies means for libraries, on one hand, increase of efficiency, access to up-to-date online information, closer communication with users, reduction of non-core costs, and on the other hand, constant dependence on network service providers, whose set increases proportionally to the growing differentiation of the market, the maximum openness and partial de-specialisation, compensated by active participation in digital Humanities projects, and ultimately, loss of institutional autonomy.

Cloud Implementation to Assist Teachers of English to Speakers of Other Languages in HEI’s in Sultanate of Oman

Cloud Computing has been implemented in diverse fields and sector, including education sector with a very good success rate. The cloud deployments enhance the learning experience and provisions appropriate IT resources critical for a specific learning environment. This research study exploits a service model to deliver appropriate learning resources to foundation students and teachers that otherwise is not available with the current cloud service architectures. Language should not be a barrier to learning, teaching subjects in English to those who are not native English speakers, most of the times is a challenging job especially in circumstances where the English Language is introduced late in the school academic curriculum. There are several challenges faced by students, and teachers. Several mechanisms have been suggested and adopted to deal with such situations so that student learning experience is not affected in a significant manner, and at the same time, teachers are also not facing problems while explaining concepts or topics to students. This research paper is a study on helping teachers and students in these situations by providing cloud-based knowledge base related to TESOL (Teachers of English to Speakers of Other Languages), repositories, and apps that may help and assist teacher and students.