Systematic survey on evolution of cloud architectures

Cloud architectures are becoming an active area of research. The quality and durability of a software system are defined by its architecture. The architecture approaches that are used to build cloud-based systems are not available in a blended fashion to achieve an effective universal architecture solution. The paper aims to contribute to the systematic literature review (SLR) to assist researchers who are striving to contribute in this area. The main objective of this review is to systematically identify and analyse the recently published research topics related to software architecture for cloud with regard to research activity, used tools and techniques, proposed approaches, domains. The applied method is SLR based on four selected electronic databases proposed by (Kitchenham and Charters, 2007). Out of 400 classified publications, we regard 121 as relevant for our research domain. We outline taxonomy of their topics and domains, provide lists of used methods and proposed approaches. At present, there is little research coverage on software architectures for cloud, while other disciplines have become more active. The future work is to develop a secure architecture to achieve quality of service and service level agreements

Introduction: Advances in E-Business Engineering

(First Paragraph) E-business is one of the most exciting and challenging research areas. Today, not only large companies, but also medium or small-sized companies are learning that e-business is a required component of doing business. E-business has rapidly evolved in the last decade and this trend will continue. In this rapid process, a variety of e-business engineering methods and techniques have been developed. There are many research issues needed to be addressed. As a result, there is a growing demand for insights into challenges, issues, and solutions related to the design, implementation, and management of e-business systems

Methods of optimization of technological processes of restoration of steel coverings

Методи оптимізації технологічних процесів відновлення сталевих покриттів = Methods of optimization of technological processes of restoration of steel coverings / Т. В. Смірнова, О. М. Дрєєв, О. А. Смірнов, Є. К. Солових // Shipbuilding & Marine Infrastructure. – 2019. – № 1 (11). – C. 48–57.Анотація. Мета. Метою роботи є дослідження методів оптимізації технологічних процесів відновлення сталевих покриттів. Методика. Для досягнення поставленої мети необхідно вирішити такі завдання: 1) сформулювати технологічний процес відновлення поверхонь сталевих валів як ланцюг технологічних операцій; 2) дослідити методи оптимізації технологічних процесів; 3) розглянути проблему комбінаторної складності структурної оптимізації технологічного процесу; 4) визначити підходи до формування інтелектуальної системи оптимізації технологічного процесу відновлення сталевих покриттів. Результати. Визначено, що точне розв’язання задачі оптимізації у вигляді повного перебору всіх можливих ланцюгів технологічного процесу є нереальною задачею з причини високої обчислювальної складності.Abstract. Aim. The purpose of this work is to investigate methods of optimization of technological processes of steel coating restoration. Methodology. To achieve this purpose, it is necessary to solve the following problems: 1. To formulate the technological process of restoring the surfaces of steel shafts as a chain of technological operations. 2. Investigate methods of technological process optimization. 3. To consider the problem of combinatorial complexity of structural optimization of technological process. 4. Identify approaches to the formation of an intelligent system for optimization of technological process of steel coatings restoration. Results. 1. It is determined that the exact solution of the optimization problem, in the form of a complete search of all possible chains of the process, is an unrealistic task because of the high computational complexity. 2. It is determined that in order to solve the optimization problem on the polymorphic chain of technological operations, the information intelligent system of process optimization should use the unification of the technological operation. 3. It is determined that an intelligent information system should support a set of optimization algorithms on a unified set of technological operations. 4. The neural network contained in the intelligent information system must learn from the solutions obtained in other ways. 5. The study showed the lack of development of existing information systems that can be used in cloud computing to optimize the chain of technological operations for the recovery of steel shaft surfaces. Therefore, developing your own information system that meets these requirements is an urgent task that needs to be addressed further. Scientific novelty. The study revealed a contradiction between existing approaches to optimizing the technological processes of repairing steel coatings and current requirements for information systems that can be used in cloud computing to optimize the chain of technological operations of repairing surfaces of steel shafts. The scientific task, development of own information system which satisfies the specified requirements is formulated. Practical significance. Using the proposed approach will increase the hardness, durability, improve the porosity parameters, reduce the roughness in the restoration of steel coatings

Design and implementation of a cloud computing adoption decision tool: Generating a cloud road

Migrating to cloud computing is one of the current enterprise challenges. This technology provides a new paradigm based on "on-demand payment" for information and communication technologies. In this sense, the small and medium enterprise is supposed to be the most interested, since initial investments are avoided and the technology allows gradual implementation. However, even if the characteristics and capacities have been widely discussed, entry into the cloud is still lacking in terms of practical, real frameworks. This paper aims at filling this gap, presenting a real tool already implemented and tested, which can be used as a cloud computing adoption decision tool. This tool uses diagnosis based on specific questions to gather the required information and subsequently provide the user with valuable information to deploy the business within the cloud, specifically in the form of Software as a Service (SaaS) solutions. This information allows the decision makers to generate their particular Cloud Road. A pilot study has been carried out with enterprises at a local level with a two-fold objective: To ascertain the degree of knowledge on cloud computing and to identify the most interesting business areas and their related tools for this technology. As expected, the results show high interest and low knowledge on this subject and the tool presented aims to readdress this mismatch, insofar as possible. Copyright: © 2015 Bildosola et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.This work is funded by the program INNPACTO 2011; Project: (2011–2013) Plataforma Inteligente de Gestión Empresarial Basada en Cloud Computing y la WEB 2.0; Project Reference: IPT-2011-1805-430000. The Financing Entity was: Ministerio de Economía y Competitivida

Benefits of Cloud Computing: Literature Review in a Maturity Model Perspective

Cloud computing is drawing attention from both practitioners and researchers, and its adoption among organizations is on the rise. The focus has mainly been on minimizing fixed IT costs and using the IT resource flexibility offered by the cloud. However, the promise of cloud computing is much greater. As a disruptive technology, it enables innovative new services and business models that decrease time to market, create operational efficiencies and engage customers and citizens in new ways. However, we are still in the early days of cloud computing, and, for organizations to exploit the full potential, we need knowledge of the potential applications and pitfalls of cloud computing. Maturity models provide effective methods for organizations to assess, evaluate, and benchmark their capabilities as bases for developing roadmaps for improving weaknesses. Adopting the business-IT maturity model by Pearlson & Saunders (2007) as analytical framework, we synthesize the existing literature, identify levels of cloud computing benefits, and establish propositions for practice in terms of how to realize these benefits

Analysis of requirements and technologies to migrate software development to the PaaS model

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementSoftware development has been evolving during the last years and, more and more, the software architecture to support this development has become more complex to meet the new requirements and new technologies. With the new cloud computing architecture and models, IT departments and ISV are developing new applications and moving the traditional software architecture to the cloud. In this context, Platform as a Service (PaaS) model can provide software development services and components within a new architecture for building a new generation of software with all benefits of cloud, like scalability and elasticity. However, currently, most companies have significant challenges to adapt and change its software development process to use the PaaS architecture and the cloud services. In this dissertation, it will first be identified and analyzed the changes and challenges for develop software with the PaaS architecture. Afterwards, will be analyzed and identified the requirements in a traditional software development and architecture (on premise) to development new software or adapt the existents software with the PaaS.Dissertation submitted as partial requirement for obtaining the Master’s degree in Information Managemen

The interoperability force in the ERP field

Enterprise resource planning (ERP) systems participate in interoperability projects and this participation sometimes leads to new proposals for the ERP field. The aim of this paper is to identify the role that interoperability plays in the evolution of ERP systems. To go about this, ERP systems have been first identified within interoperability frameworks. Second, the initiatives in the ERP field driven by interoperability requirements have been identified from two perspectives: technological and business.The ERP field is evolving from classical ERP as information system integrators to a new generation of fully interoperable ERP. Interoperability is changing the way of running business, and ERP systems are changing to adapt to the current stream of interoperability

Cloud Manufacturing Model to Optimise Manufacturing Performance

Being predicted as the future of modern manufacturing, cloud-based manufacturing has drawn the attention of researchers in academia and industry. Researches are being done towards transforming every service in to cloud based service-oriented manufacturing mode in the manufacturing industry. There are many challenges that would arise when travelling towards this paradigm shift which is being addressed by researchers, but there are very few researches that concentrate on the elastic capability of cloud. Elastic capability makes this paradigm unique from all the other approaches or technologies. If elasticity is not achievable then the necessity of migrating to cloud is unnecessary. So, it is imperative to identify if at all it is necessary to adopt cloud-based manufacturing mode and discuss the issues and challenges that would arise to achieve elasticity when shifting to this emerging manufacturing paradigm. This research explores the importance of adopting cloud-based manufacturing mode to improve manufacturing performance based on the competitive priorities such as cost, quality, delivery and flexibility and proposes an elasticity assessment tool to be included in the cloud-based manufacturing model for the users to assess the challenges and issues on the realisation of elasticity on the context of manufacturing, which is the novelty of this research. The contribution to knowledge is a clear understanding of the necessity of cloud based elastic manufacturing model in the manufacturing environment for the manufacturing SMEs to gain a competitive advantage by achieving the competitive priorities such as low-cost, high-quality, and on-time delivery. Finally, the research suggests the best combination of manufacturing parameters that has to be emphasised to improve the manufacturing performance and gain a competitive advantage

Інтегрована інформаційна система для моніторингу та керування на основі інтернету речей для розумної ферми

Оскільки зростає популярність автоматизованих систем для ефективного контролю процесів на великих підприємствах та фермах, створення інтегрованої інформаційної системи моніторингу та керування на основі інтернету речей для розумної ферми є актуальною задачею. Об’єкт дослідження – це процеси ведення скотарства. Метою магістерської дисертації є підвищення ефективності роботи ферм за рахунок технологій інтернету речей. Предметом дослідження є моніторинг та керування процесами ведення скотарства.As the popularity of automated systems is increasing for effective process control at large enterprises and farms, the researching of an integrated information system for monitoring and control based on the Internet of things for “a smart farm” is a pressing concern. The object of the research is the processes of keeping livestock production. The master's dessert aims to increase the efficiency of farms throught the technology of the Internet of things. The subject of the research is the monitoring and control of livestock production processes

Optimizing the deployment of cloud applications for multiple QoS parameters

Zajištění kvality služeb (QoS) v tzv "cloud" a "edge-cloud" prostředí je jedním z největších současných problémů v oblasti cloudových systémů. V současné době, je nasazení cloudových aplikací řízeno pomocí systému cloudové orches- trace, jako je např. systém Kubernetes. Tyto systémy podstatně zjednodušují nasazení aplikací v cloudu a umožňují zajistít jejích dostupnost, škálovatelnost a odolnost vůči chybám. Nicméně cloudové orchestrátory v současné době stále neposky tují dostatečnou funkcionalitu k optimalizaci nasazení aplikací, u kterých je požadováno zajištění výkonnostních QoS metrik (jako jsou doba odezvy a pro- pustnost). Tato práce navrhuje postup pro zajištění pravděpodobnostních záruk pro výkonnostní QoS metriky aplikací v (edge-)cloudovém prostředí. Navržený postup je založen na měření výkonnosti cloudových aplikací a následovné kontrole jejich nasazení tak, aby byly aplikace nasazené jenom v prostředích, ve kterých jejich výkonnost odpovídá QoS požadavkům. Rovněž práce obsahuje funkční prototy- povou implementaci, která ověřuje efektivitu navrženého postupu a bude sloužit k dalšímu výzkumu.Guaranteeing Quality of Service (QoS) in an (edge-)cloud environment is one of the biggest open problems in the field of cloud computing. Currently, deploy- ment of cloud applications is managed by cloud orchestration systems, such as Kubernetes. These systems make deployment of applications in cloud easier than ever, offering their users the benefits of availability, scalability and resilience. However, at the moment they are not capable of optimizing the deployment of cloud applications with respect to performance QoS metrics, such as response time and throughput. The thesis proposes an approach that provides probabilistic guarantees on the performance QoS metrics in an (edge-)cloud environment. The approach is based on assessing the performance of cloud applications and subsequently controlling their deployment in a way that the applications are deployed only in the environ- ments in which their performance does not violate their QoS requirements. The thesis also presents a proof-of-concept implementation of that approach. The im- plementation verifies the effectiveness of the approach and will serve for further research.Department of Distributed and Dependable SystemsKatedra distribuovaných a spolehlivých systémůMatematicko-fyzikální fakultaFaculty of Mathematics and Physic