Federated Learning Based Cloud Computing Solutions with Privacy Preservation for Intelligent Utilities

Recently, Cloud computing, as one of the hottest words in IT world, has drawn great attention. Many IT companies such as IBM, Google, Amazon, Microsoft, Yahoo and others vigorously develop cloud computing systems and related products to customers. However, there are still some difficulties for customers to adopt cloud computing, in which many security issues exist, because data for a customer is stored and processed in cloud, not in a local machine. This paper briefly introduces cloud computing and its key concepts. In particularly, we intend to discuss security requirements and security issues involving data, application and virtualization in cloud computing, as well as current solutions to these issues.

Cloud computing is being widely adopted in various scientific areas, solutions and applications not including the biomedical research. This scientific area is characterized by the need of large amounts of data processing and these requirements are ensured by the cloud computing solutions. Cloud computing might bring many benefits, such as cost savings, elasticity and scalability of using ICT. On the other hand, the implementation might be inefficient and cost intensive. The measurement of cloud computing benefits and its efficiency is considered to be one of the crucial point for successful implementation of new systems or applications. The goal of this paper is to present specialized application for cloud computing investment efficiency with a respect to specificities of biomedical research area.

The development of cloud computing services is speeding up the rate in which the organizations outsource their computational services or sell their idle computational resources. Even though migrating to the cloud remains a tempting trend from a financial perspective, there are several other aspects that must be taken into account by companies before they decide to do so. One of the most important aspect refers to security: while some cloud computing security issues are inherited from the solutions adopted to create such services, many new security questions that are particular to these solutions also arise, including those related to how the services are organized and which kind of service/data can be placed in the cloud. Aiming to give a better understanding of this complex scenario, in this article we identify and classify the main security concerns and solutions in cloud computing, and propose a taxonomy of security in cloud computing, giving an overview of the current status of security in this emerging technology.

Accounting is an essential part of distributed computing infrastructures, regardless whether these are more service-driven like Clouds or more computing oriented like traditional Grid Computing environments. Those infrastructures have evolved over more than the last decade and additional. beside the further development towards service-oriented architectures, the business aspect of especially Cloud Computing solutions becomes more and more relevant. In this paper we focus on user-centric aspects like privacy preserving methods to hide the users behaviour and to collect only necessary information for billing, under the assumption that an accounting system has to be integrated in the computing infrastructure and that a central interface is still desirable for billing and financial clearing.

The interest in cloud computing by organizations has driven a core desire to become more effective and efficient with information technology (IT). Cloud computing enables organizations to utilize instantly provisioned scalable IT resources on a pay-per-use basis. The wireless grid provides a new model for heterogeneous devices to share physical and virtual resources within an ad-hoc environment with no dedicated server needed to manage the network. Both of these technologies provide new opportunities to provide innovative architectures but also have a number of security related issues that concern many potential users. Despite the potential benefits, each integration of a cloud computing and a wireless grid architecture raise even more concerns related to information security than each architecture alone. As a new paradigm for organizational strategic initiatives, these are the issues which prevent cloud computing and wireless grid solutions from becoming the prevalent integration for an operational system. This article will identify a wireless cloud architecture and identify potential vulnerabilities and threats to a wireless cloud solution. We also identify the beginnings of a promising wireless grid security architecture, which focuses on a wireless cloud authentication, authorization and access control process.

This study delves into the optimization strategies of Amazon Web Services (AWS) cloud computing solutions tailored specifically for businesses. It provides an in-depth exploration of the transformative impact that cloud computing has had on modern business operations, emphasizing the pivotal role played by AWS in delivering scalable, flexible, and cost-effective resources. With projections indicating the global public cloud services market's growth to $332.3 billion in 2021, it becomes evident that cloud solutions are increasingly relied upon, with AWS commanding a significant 32% market share. This paper highlights the importance of optimizing AWS solutions, considering its extensive range of services designed to meet diverse business needs. However, transitioning to cloud environments brings challenges related to data security, compliance, integration, and migration complexities, as evidenced by pertinent studies and literature reviews. This research synthesizes insights gleaned from various studies, emphasizing the adaptability and cost-effectiveness of AWS while stressing the critical role of robust security measures in its implementation across industries and geographic regions. Understanding prevalent business requisites and challenges in cloud adoption, including scalability, cost efficiency, reliability, availability, and compliance, is essential for organizations seeking to harness cloud technology effectively. Furthermore, this paper provides an overview of AWS's services encompassing computing, storage, databases, machine learning, and AI, showcasing how these empower businesses to streamline operations, foster innovation, and scale dynamically. It elucidates successful instances where AWS was strategically implemented in Netflix, Airbnb, Jollibee Group, and Capital One, demonstrating its impact on scalability, innovation, and service enhancement. The paper outlines anticipated trends in AWS and cloud computing, focusing on user-friendly tools, advancements in machine learning, infrastructure improvements, increased automation, and deeper integration of AI and advanced analytics. Ultimately, this research emphasizes business's need to optimize AWS solutions, navigate complexities, foster innovation, and achieve operational excellence in an increasingly competitive market.

This Nowadays system hear that CLOUD computing is ubiquitous. Most of tech giants have converted their owned in-house data centers to using CLOUD technology and outsourcing the part of their services to public cloud and to opt for hybrid cloud architecture. There is no doubt that CLOUDs have the potential for being the next generation model computational services, but with that potential comes the risk of theft and concerns related to security and privacy. A lot of development and progress has already been made in CLOUD technologies, there still remains a wide range of concerns this article system identify and classify the main security concerns and solutions in cloud computing, and propose a method of security in cloud environment. In this paper Row Column Diagonal (RCD) based engine has been proposed. Along with the cloud sub-cloud. Data Security using engine in Environment is also explained. Further, engine system has been proposed in Central Cloud and RCD Supervisor modes in environment along with the situation of uploading and downloading. Validation and analysis have been performed for Engine and indicates based engine is much powerful and secure. As Algorithm is much more robust and easy to implement with considering all the aspects of main and sub cloud using supervisor as the central body.

Cloud computing has transformed data and application management, providing unprecedented flexibility and scalability.However, this move raises additional security concerns, particularly in terms of authentication and access control (AAC).This research investigates data security issues in cloud computing, with an emphasis on effective AAC strategies for reducing security threats.We examine the state of AAC in cloud computing, including approaches such as multi-factor authentication, role-based access control, and attribute-based access control.Data security issues such as multi-tenancy, data transfer over the internet, and regulatory compliance are investigated.AAC technological breakthroughs such as biometric identification, blockchainbased access management, and machine learning-driven anomaly detection are examined in terms of their ability to improve data security in cloud systems.Even if cloud computing is being adopted at a rapid pace, there is still a large knowledge gap on suitable AAC solutions.In order to close this gap, this work carefully analyzes AAC in cloud computing, identifies challenges, and suggests innovative AAC techniques that enhance data security.Through a comprehensive analysis of literature, case studies, and technology evaluation, we provide practical suggestions that companies may implement to enhance their data security posture when using cloud computing.By offering thorough analysis and useful advice for handling data security issues in cloud computing environments, this study adds to the body of knowledge on cloud security in academia.

Cloud Computing is a developing technology which is revolutionizing the IT Infrastructure due to its high scalability and flexibility in providing the computing resources as services on demand. Cloud data centres are made up of large servers which consume a great amount of power which will in turn increase the operating costs and the environmental impact in terms of CO2 emissions. Hence, Cloud Computing solutions are extremely effective in terms of processing power and storage but are often criticized for the high amount of energy they require. Therefore, this paper will look at how to model the energy usage of a simple cloud solution, taking into consideration primarily the running of the hardware servers, from the idle to full utilization, as well as the transport of data between servers. An energy saving mechanism named DVFS is used in this paper in order to reduce the energy consumption. Cloudsim toolkit is used to create the cloud data centre and analyze the efficiency of DVFS mechanism.

The use of Cloud Computing services is an attractive option to improve IT systems to achieve rapidly and elastically provisioned capability, and also to offer economic benefits. However, companies see security as a major concern in migrating to the Cloud. To bring clarity in Cloud security, this paper presents a systematic approach to manage the risks and analyzes the full range of risk in Cloud Computing solutions. Furthermore, as a study case, Google App Engine Platform is assessed based on ISO/IEC 27002 and OWASP Top 10 Risk List in this paper. Knowing the risks of Cloud solutions, companies can execute well-informed decisions on going into the Cloud and build their Cloud solutions in a secure way, relying on a robust e-trust relationship.

Hybrid Cloud Service Level Agreements (SLA) comprises of the legal terms and conditions for the cloud contract. Even though all the service level objectives, metrics and service descriptions are clearly outlined in the cloud SLA contract, sometimes vendors fail to meet the promised services and confusing terms lead to tenant-vendor cloud legal battles. Hybrid Cloud involves two different cloud models (public and private) working together, applications running under the hybrid cloud are subject to different availability sets, functionality and parameters developing SLA complexity and ambiguity. The new manufacturing environment (Industry 4.0 concept) is based on a fully connected, intelligent and automated factory, which will highly be dependent on cloud computing and IoT-based solutions for data analytics, storage and computational needs. In situations where Hybrid cloud services are not defined and managed properly may result in Industrial-IoT data security issues leading to financial and data losses. This paper discusses various aspects of the cloud service level agreement in Industry 4.0 for better understanding and implementation and puts a light on the issues that arise out of imprecise statements.

[Summary form only given]. Regional enterprises in fast growth emerging markets such as China are increasingly leveraging advanced information technology to grow their business. As they expand these institutions are accelerating their IT modernization efforts to transform their business models, automate and re-engineer business processes, increase agility, efficiency and resiliency while mitigate risks under volatile market conditions. In this talk we review how service orientation, cloud computing, and other advanced information management solutions are helping these regional institutions in their transformation. Case studies drawn from a number of Chinese companies will be used to illustrate process re-engineering and optimization approaches, architecture best practices, lessons learned, and to shed lights on potential areas for future research and development.

Enhancing Innovation and Technology Adoption in Software Small and Medium Enterprises through Cloud Computing, Knowledge Management, and Blockchain-Enabled Solutions

The considerable increase in the use of cloud computing and big data solutions requires the use of advanced technologies to ensure data security, privacy and dependability. One of the possible solutions is the use of data anonymization techniques, which performs an important role in data privacy protection. There are several techniques and algorithms to implement data anonymization. However, specifications and guidelines to guide and standardize the use of these resources are needed. These guidelines, called anonymization policies, are considered an important asset in organizations that want to protect their customer personal data. Although the use of data anonymization brings great benefits, there are no clear directions for data anonymization policies, which ends up lim- iting its adoption by companies and organizations. This work presents a generic anonymization policy to be used in cloud and big data platforms. It also presents a draft ontology with explicit formal specifications for data anonymization policies. This ontology has three main intentions: (i) to standardize the use of data anonymization policies; (ii) share common understanding of the structure of data anonymization among people; (iii) enable reuse of data anonymization policies. In this work, an ongoing study case within the EUBra-BIGSEA project will be implemented.

Cloud computing utilization and mitigation of informational and marketing barriers of the SMEs from the emerging markets: Evidence from Iran and Turkey