Human-Centered Design and Co-design Methodologies for Mass Customization in Housing: A Case Study Using Cloud Computing Applications

Special Issue on Recent Trends and Future of Fog and Edge Computing, Services and Enabling Technologies

Enterprises seek for possibilities to limit the costs and for areas that stimulate the level of innovation. Both of these aspects can be effectively supported by application of cloud computing, without a simultaneous need to make a choice of a trade-off type. The aim of the article is to prove that cloud computing provides entrepreneurs with the possibility to limit the costs and at the same time to support their activities related to the selected direction of innovation development. It has both a direct influence on the level and structure of costs in the enterprise, as well as an indirect influence, e.g. related to shortening the time for introduction of new solutions to the market, making decisions or limiting the costs of projects.

: Leading Advances in Industrial Design synthesizes human-centred theory, systems engineering, and design operations into a rigorous framework for conceiving, validating, and scaling products and product–service systems. Beginning from first principles—ergonomics, cognition, ethics, and socio-technical context—the book formalizes a reproducible pipeline that translates user needs and planetary limits into quantitative requirements, traceable design intent, and verifiable performance. It integrates materials science and manufacturing logic with colour–material–finish (CMF) strategy, then codifies a modern digital stack spanning CAD/CAE, generative optimization, digital twins, and extended reality for collaborative reviews. The middle chapters advance interaction design for physical–digital hybrids, embedded sensing and edge intelligence, and secure connectivity, extending to circular business models and after-sales ecosystems. A sustainability core operationalizes science-based targets, inclusive design, supply-chain ethics, and third-party-assured disclosure. The final chapters connect design excellence to strategy and economics via portfolio road-mapping, DesignOps, quality systems, IP and regulatory navigation, and evidence-led market entry. Across diverse regional vignettes, the book demonstrates how disciplined methods—measurement, causality, and continuous improvement—convert design from craft to an organizational capability that compounds advantage while meeting safety, equity, and climate obligations. Keywords: industrial design, human-centred design, systems thinking, ergonomics, CMF, CAD/CAE, generative design, digital twin, product–service systems, edge AI, circular economy, inclusive design, DesignOps, quality-by-design, regulatory readiness

Cloud computing applications (CCA) are defined by their elasticity, on-demand provisioning and ability to address, cost-effectively, volatile workloads. These new cloud computing (CC) applications are being increasingly deployed by organizations but without a means of managing their performance proactively. While CCA provide advantages and disadvantages over traditional client-server applications, their unreliable application performance due to the intricacy and the high number of multi connected moving parts of its underlying infrastructure, has become a major challenge for software engineers and system administrators. For example, capturing how the end-users perceive the application performance as they complete their daily tasks has not been addressed satisfactorily. One possible approach for identifying the most relevant performance measures for Root Cause Analysis (RCA) of performance degradation events on CCA, from an end-user perspective, is to leverage the information captured in performance logs, a source of data that is widely available in today’s datacenters, and where detailed records of resource consumption and performance logs is captured from numerous systems, servers and network components used by the CCA. This paper builds on a model proposed for measuring CC application performance and extends it with the addition of the end-user perspective, exploring how it can be used in identifying root causes (RC) for performance degradation events in a large-scale industrial scenario. The experimentation required adjustments to the original proposal in order to determine, with the help of a multivariate statistical technique, the performance of a CCA from the perspective of an end-user. An experiment with a corporate email CCA is also presented and illustrates how the performance model can identify most relevant performance measures and help predict future performance issues.

Cloud computing and big data: Technologies and applications

Cloud and Edge Computing are currently undergoing a sub-stantive transformation on several fronts, from applications to hardware, and from architectures to devices. This issue of the Cloud and Edge Computing Series solicited articles in the area of Cloud and Edge Computing to address the main issues concerned with evolving processes, supporting pedagogies, and applications in cloud computing, networking, and storages technologies. There have been advances on both the cloud and edge computing fronts that have affected this line of technology. Paradigms, such as computing in virtualization-based architectures, issues on geo-graphical constraints for deploying clouds, and the use of SDN/NFV in clouds, for example, were of special interest for this issue of the Series. Nevertheless, our attention was also focused on data center network (DCN) architectures, security, load balancing, and application data streaming supported by evidence from simulations, analysis, or experiments. Cloud and Edge Computing are also incorporated with the Internet of Things (IoT) ecosystem. IoT requiring multiple access edge computing systems is gaining momentum and considered to be deployed in smart cities, public safety, and e-health. The last, but not least important, factor we expected to see in articles was the standardization aspects of Cloud and Edge Computing technology. We were especially interested in articles that could address communications standards in networking for clouds, fogs, and edge computing.

With the rapid development of national economy, our demand for power resources has also increased rapidly. The traditional power grid can not be achieved operational status of equipment for effective monitoring and control, we will not be able to ensure the quality and quality of electricity service. Cloudbased build smart grid information platform enables gathering the parameter of grid operation state, greatly increasing the economic efficiency of power enterprises. Firstly, cloud computing and smart grid briefly described, and then pointed out that cloud computing applications in the smart grid information platform, and specialized of cloud-based smart grid information platform, in order for the power grid enterprises to enhance their level of service and provide effective reference. KEYWORD: cloud computing; smart power grids; information platform; Application 4th International Conference on Mechanical Materials and Manufacturing Engineering (MMME 2016) © 2016. The authors Published by Atlantis Press 202 3 THE MAIN PROBLEM IS STILL THE SMART GRID INFORMATION PLATFORM FACING The transition to a cloud computing data center. Our data center because of the different regions and the degree of information presents different characteristics, some data centers already have a basic cloud computing capabilities, but most data centers still remain in the initial level, to ensure the normal operation of the existing data center power under the premise, gradual transition to cloud computing data center in order to meet future requirements of the development of smart grid. Restricting data transmission problem. State Grid Corporation between provincial branches and there are a lot of data needs to be transmitted, will bring massive data transmission efficiency decreases, taking into account the load balancing device between the cloud node, thus building a wide area network channels to resolve data transmission problem. Security of data transmission. Data Center for Cloud Computing power companies to build internal private cloud, capable of self-maintenance and management, system wide area network data transmission services, according to the third security zone defined security partition, and install proprietary equipment production area and external public network isolation . 4 CLOUD COMPUTING APPLICATIONS IN THE SMART GRID INFORMATION POLICY PLATFORM Integrate and optimize the management of heterogeneous resources. Among the smart grid systems, data resources, information systems between various platforms and mutually dispersed, severe heterogeneity, thus leading to the integration of the quality of information sharing to increase difficulty, unable to effectively improve network management efficiency for the power distribution system electrical work quality management and marketing operations system maintenance upgrade will not be able to effectively meet demand (Jie Yang, 2014). Cloud computing technology enables the power system to effectively integrate the various business data and computing resources on the basis of information for business collaboration platform built on effective, able to satisfy the huge demand for smart grid information resource sharing. Cloud computing network virtualization and application virtualization technology, the server virtualization technology and other resources to achieve each service abstraction, and then realize the difference between the system and the software effectively eliminated by the appropriate method to achieve the effective integration of information resources, and then to optimize the management, greatly improving the efficiency of heterogeneous resources management applications. Distributed storage and management of large volume of data. After application of smart grid information platform construction, customer service requests varied, huge data volume information brought it to the storage and management of data provides a great challenge. Cloud computing technology in general face amount of data each smart grid system and unit collected using forms distributed storage of data to achieve the effective storage, greatly to ensure the security and reliability of data storage. GFS effective use of technology with each node, the master server is responsible for the effective management of the whole file system, the file system and complete the work of the metadata stored in the data block is the main server for data storage block sliced, and by saving three or more redundant backup storage. At the same time, client access and complete access to the main block server information. Fast Power System Parallel Computation and Treatment. Smart grids and information platform for the large volume of data to provide stable operation of the power grid data base, but more critical is the analysis and design of each system operating data, planning and decision-making, and even failures and transient stability, state estimation and intelligent a variety of computing and content analysis and decision-making process, its huge computing needs, general computing system can not reach its goal (Wang, Mengxue, 2015). Cloud computing technology through parallel computing technology has greatly enhanced parallel processing capability of the power system, which provides parallel programming model makes more simple and efficient parallel algorithms. MapReduce as Google made an important parallel programming model, and its role in large data sets in parallel computing plays a very prominent. Parallel processing job results by the client to achieve effective user submitted, via decomposition automated master role, the corresponding task scheduling to working nodes and nodes work completed by the specific calculations and perform the appropriate task. 5 SMART GRID INFORMATION PLATFORM CLOUD COMPUTING ANALYSIS Cloud Computing Smart Grid Information Platform Architecture. Smart grid technology information platform architecture cloud computing include the following several levels and aspects (Yan Cui, 2015): First, that the platform infrastructure layer is the integration of the various hardware resources and related management capabilities of virtualized using virtual technology to achieve the corresponding hardware devices such as computers and network storage devices abstraction, and then complete the automation and optimization of resource data and load management; secondly, the main platform for the integration of the various layers of software

Mass customization in the sportswear industry has become an established business for many of the leading brands. Adidas is running its mass customization program (mi-Adidas) for over a decade now. This case study investigates how the mi-Adidas program has evolved over the past 10 years and how it has become a strategic business for the Adidas Group. Furthermore, by examining other customer involvement approaches, specifically customer-centric open innovation models, this paper presents different opportunities for further exploiting the creative and innovative potential of the mi-Adidas customers. Especially two open innovation approaches, design contests and the suggestion box, seem to be highly applicable and therefore meaningful potential extensions of current mass customization offers. It is remarkable however that the linkage of the concepts of mass customization and open innovation has received rather little attention so far, both in theory and practice. The discussion in this paper suggests further investigation into this area in the future.

Impact of coronavirus pandemic crisis on technologies and cloud computing applications

A comprehensive overview of Identity-Based Encryption (IBE) and its applications in cloud computing has been provided in this study. It covers the basic concept of IBE and its advantages over traditional public-key cryptography. Additionally, how IBE is used to secure data in cloud computing and its benefits, such as improved privacy and security are explained. The security issues in cloud computing, including data privacy and confidentiality, data security, compliance, malicious insiders, lack of control, and interception and eavesdropping, are highlighted. It is important to note that IBE can enhance data security in cloud computing. This study is a helpful tool for those interested in learning about Identity-Based Encryption and its applications in cloud computing.

AI and cloud computing have been controversial since the very beginning of the concept. The technical features of AI and Cloud Computing combined with the business make the business more efficient and effective. Many top listed Companies realized the potential value of AI and Cloud computing could help the development of the company to earn a profit. But the application of AI and cloud computing are few and immature, and lots of companies see this opportunity. In other words, who first control AI and Cloud computing is the winner in fierce competition. Amazon, the world's most influential e-commerce company, proposed the idea of unmanned convenience store operations in 2015 and started researching and launching Amazon.Go under the competition of AI and Cloud Computing, an innovative but unsuccessful checkout-less convenience storethe birth of Amazon. Go attracted many investors, and other companies, whether e-commercial or tra-ditional retailers, begin imitate Amazon.Go. With the gradual application of AI and cloud computing in the commercial sector, Amazon.Go is set to become the future of conven-ience stores.

The shift of traditional mass-producing industries towards mass customisation practices is nowadays evident. However, if not implemented properly, mass customisation can lead to disturbances in material flow and severe reduction in productivity. Moreover, manufacturing enterprises often face the challenge of manufacturing highly customized products in small lot sizes. One solution to adapt to the ever-changing demands, which increases resource flexibility, lies in the digitization of the manufacturing systems. Furthermore, the distributed manufacturing environment and the ever-increasing product variety and complexity result in reduced time-to market, ubiquitous data access and sharing and adaptability and responsiveness to changes. These requirements can be achieved through smart manufacturing tools and especially Wireless Sensor Networks (WSN). Thus, the aim of this position paper is to summarize the design and development of solutions based on cutting-edge technologies such as Cloud Computing, Artificial Intelligence (AI), Internet of Things (IoT), Simulation, 5G, and so on. Concretely, the first part discusses the development of a Cloud-based production planning and control system for discrete manufacturing environments. The proposed approach takes into consideration capacity constraints, lot sizing and priority control in a “bucket-less” manufacturing environment. Then, an open and interoperable Internet of Things platform is discussed, which is enhanced by innovative tools and methods that transform them into Cyber-Physical Systems (CPS), supporting smart customized shopping, through gathering customers’ requirements, adaptive production, and logistics of vending machines replenishment and Internet of Things and Wireless Sensor Networks for Smart Manufacturing. To that end, all the proposed methodologies are validated using data derived from Computer Numerical Control (CNC) machine building industry, from European Metal-cutting and mold-making SMEs, from white goods industry and SMEs that produces solar panels.

In order to meet the special and multiple requirements of Military Intelligence Fusion (MIF), Cloud Computing idea is used in this paper. This paper researches the application method of the Cloud Computing in MIF. By analyzing the specifically demands of MIF and combining the characteristics of Cloud Computing, this paper takes out the advantages of Cloud Computing applied to MIF in the share of data and application, combining the intelligence resource, massive data storage and management, processing the massive intelligence information, deploying and maintaining the intelligence system software, providing security. Then the paper educes the sense of the application of Cloud Computing in MIF. The paper brings forward the construction assumption of MIF system in four levels construction realization model, encapsulating the existing military intelligence resource, establishing the intelligence fusion application and data centre (IFADC), establishing access platform based on Cloud Computing. At last this paper supplies references to the application of Cloud Computing in data fusion.

INTRODUCTION: With the development of the information age and the application of cloud computing and big data technology, new changes have occurred in the field of education. Today, the form of learning is becoming more and more diversified, and cloud computing, big data and other information technologies can be more often applied in teaching and learning. The application of cloud computing to the creation and teaching of music can not only improve the interaction between teachers and students in the traditional classroom, but also cloud computing can better capture the problems of teaching in the classroom and provide adjustment suggestions through big data. OBJECTIVES: This study is to realize distance music teaching of SPOC through cloud computing, big data and other technologies. Further use of cloud computing technology is to improve the traditional music teaching classroom teaching and learning tools are not rich enough, the student perception is more single problem. At the same time, cloud computing technology is also utilized in order to explore the effect of distance music education. METHODS: Based on the management of learning theory, constructivism and communicative learning theory, this paper carries out the research on music creation and teaching through the methods of cloud computing and big data, and collects and summarizes the related literature at home and abroad, researches the development of big data and cloud computing in the field of music teaching and introduces the principle of SPOC teaching that supports students' independent learning through big data technology. RESULTS: Based on the training concept of MOOC and cloud computing, the teaching process encourages teachers and students to apply the pedagogical methods of cloud computing to improve the level of music nowadays teaching and learning at the same time, improve the overall quality of students. CONCLUSION: Music aesthetics education has diversity, SPOC learning process and cloud computing technology should be developed by developing an independent learning method. Therefore, cloud computing technology can help students learn music independently in a three-dimensional way, effectively develop the design stage of the learning process, use big data and cloud computing to better enrich the music teaching model, and implement the construction of independent knowledge. Future research can continue to develop towards empirical evidence and a large number of data experiments.

With the rapid increase in global intellectual production, academic libraries have been challenged to make this product available to beneficiaries at the perfect time and place. On the other hand, the rapid development in the field of information technology, especially cloud computing and open source software applications, offers many capabilities that can be harnessed in the work of academic libraries to meet the needs of beneficiaries. This paper aims to developing information services in the academic libraries in University of Diyala (UOD) through using cloud computing applications and open source software (Koha) to facilitate the search and retrieval of information by librarians and beneficiaries. A unified research platform has been created for all academic libraries at UOD using Koha integrated system and building a database of bibliographic records, which have been installed on the Google cloud platform. The unified search platform helps librarians and users retrieve information and search resources more efficiently from anywhere, at anytime by calling sources of information with multiple retrieval points (author, source, ISBN, abstract, keywords) as well as the ability to search for sources of information in all UOD libraries simultaneously, which contributes to reducing the time of the beneficiary in obtaining sources of information.