Cloud Computing Research Issues, Challenges, and Future Directions

Machine learning (ML)-centric resource management in cloud computing: A review and future directions

Cloud computing involves multidisciplinary development and integration, and is the result of information technology and related applications. In this study, Web of Science Core Collection database is used as data source. Using Excel, Bibexcel, VOSviewer and CiteSpace software for data mining and quantitative analysis of the 2005–2018 year research papers on cloud computing, we explore the trend of change, the distribution of research forces, key areas, research hot spots and international cooperation. The results show that the number of documents in cloud computing has been growing, and there are many subjects involved in the research of cloud computing technology, mainly Computer Science, Engineering and Telecommunications. There are many research papers on cloud computing in China and the United States; China is most prominent in international cooperation and has strong cooperative relations with the major countries; Chinese Academy of Sciences is very active in the research of cloud computing, and its papers are far ahead of other institutions. The main focuses of the study are virtualization, mobile cloud computing, big data, security, etc. The main hot spots of research are mobile cloud computing, big data, fog computing, secure, storage, access control, sever consolidation, etc.

Cloud computing and big data: Technologies and applications

A Review on Fog Computing: Architecture, Fog with IoT, Algorithms and Research Challenges

Background: The integration of mobile computing and cloud computing has the potential to revolutionize healthcare delivery by providing ubiquitous access to resources and enabling new service development and delivery models. While cloud computing has been extensively studied in fields such as genomics and molecular medicine, its application in healthcare beyond these domains remains relatively unexplored. This scoping review aims to identify the current state and emerging research topics in cloud computing in healthcare outside of the traditional “OMICS context.” Methods: A comprehensive search was conducted in MEDLINE in July 2013 and December 2014 using keywords related to cloud computing and cloud-based services. The identified journal and conference articles were independently categorized and summarized by two researchers, who subsequently consolidated their findings. Results: A total of 102 publications were analyzed, revealing six main topics in cloud computing in healthcare: telemedicine/teleconsultation, medical imaging, public health and patient self-management, hospital management and information systems, therapy, and secondary use of data. Common features utilized in these applications included broad network access for data sharing and access, as well as rapid elasticity to meet computing demands. While some articles highlighted the cost-effectiveness of pay-per-use cloud services, only 14 articles reported successful implementations, with many publications focusing on conceptual or prototypic projects. Additionally, several articles equated cloud computing with internet-/web-based data sharing, failing to illustrate the unique benefits of the cloud computing paradigm. Conclusions: Although the integration of mobile computing and cloud computing in healthcare is gaining attention, successful implementations in the field are still limited. Many papers use the term “cloud” interchangeably with “virtual machines” or “web-based” without clearly demonstrating the advantages of the cloud paradigm. Data safety and security concerns associated with involving external cloud partners remain significant barriers to adoption in the healthcare domain. As of now, cloud computing is primarily favored for its individual features, such as elasticity, pay-per-use models, and broad network access, rather than as a comprehensive cloud computing paradigm.

On the interplay of Internet of Things and Cloud Computing: A systematic mapping study

Chapter 3 - Cloud Computing

The advent of digitization and its modern day Information and Communication Technologies (ICT) triggered a paradigm shift in product and product-service-system design across many sectors. Many related developments in the context of Industry 4.0 rely on the use of vast amounts of data. When it comes to managing and handling this data, one of the prime technology approaches is that of Cloud Computing. However, Cloud Computing has a number of shortcomings, such as data security and latency challenges. Recently, Fog Computing has emerged as a new approach to complement Cloud Computing. It operates on cloud layers connected to data sources and minimizes issues related to data transmission latency, reduced bandwidth, and cyber security aspects. In this paper, the authors discuss Fog Computing and the way in which it complements Cloud Computing. They also elaborate on the benefits of utilizing Cloud and Fog Computing in concert.

In the era of cloud computing (CC), many organisations have successfully adopted and leveraged CC capabilities to improve their business performance and economic performance. However, past literature on CC has put the limited focus on cloud-healthcare domain. In this context, this paper aims to provide a systematic literature review of cloud computing in healthcare (CCH) capabilities, usages, and other challenges across countries over a period of the healthcare industry. The paper presents the bibliometric analysis of research papers of 750 found on CC from 2011 to 2017 and after scrutinising 81 articles were considered for the review, which was related to CCH. This article contributes to theorising CC capabilities in the context of healthcare and provides future direction of research in this field.

With the recent advances in cloud computing and the improvement in the capabilities of mobile devices in terms of speed, storage, and computing power, Mobile Cloud Computing (MCC) is emerging as one of important branches of cloud computing. MCC is an extension of cloud computing with the support of mobility. In this paper, the authors first present the specific concerns and key challenges in mobile cloud computing. They then discuss the different approaches to tackle the main issues in MCC that have been introduced so far, and finally focus on describing the proposed overall architecture of a middleware that will contribute to providing mobile users data storage and processing services based on their mobile devices capabilities, availability, and usage. A prototype of the middleware is developed and three scenarios are described to demonstrate how the middleware performs in adapting the provision of cloud web services by transforming SOAP messages to REST and XML format to JSON, in optimizing the results by extracting relevant information, and in improving the availability by caching. Initial analysis shows that the mobile cloud middleware improves the quality of service for mobiles, and provides lightweight responses for mobile cloud services.

With the recent advances in cloud computing and the improvement in the capabilities of mobile devices in terms of speed, storage, and computing power, Mobile Cloud Computing (MCC) is emerging as one of important branches of cloud computing. MCC is an extension of cloud computing with the support of mobility. In this paper, we first present the specific concerns and key challenges in mobile cloud computing, we then discuss the different approaches to tackle the main issues in MCC that have been introduced so far, and finally we focus on describing the proposed overall architecture of a middleware that will contribute to providing mobile users data storage and processing services based on their mobile devices capabilities, availability, and usage. A prototype of the middleware is developed and three scenarios are described to demonstrate how the middleware performs in adapting the provision of cloud web services by transforming SOAP messages to REST and XML format to JSON, in optimizing the results by extracting relevant information, and in improving the availability by caching. Initial analysis shows that the mobile cloud middleware improves the quality of service for mobiles, and provides lightweight responses for mobile cloud services.

With the continuous evolution of technology, the prevalence of the Internet of Things (IoT) has grown significantly. However, with this rise comesa number of challenges for integrated Cloud Computing (CC), including security, performance, latency, and network issues. Fortunately, Fog Computing is a solution that addresses these concerns by bringing CC closer to IoT devices. Essentially, fog serves as a data hub that processes and stores information locally on the fog node, rather than sending it to a cloud server. This results in faster response times and higher- quality services compared to those offered by traditional cloud servers. Fog Computing can optimize service delivery for multiple IoT clients by allowing the administrationof services and resource provisioning outside of CC, nearer to devices, or at specific locations for Service Level Agreements (SLAs). It's important to note that Fog Computing is not intended to replace CC, but rather to complement itas a critical component. In this paper, we explore various computing paradigms, examine the features and architecture of Fog Computing, analyze its relationship with IoT, and assess differentalgorithms used in Fog Computing systems. Furthermore, we tackle the distinctive challenges that emerge with Fog Computing as an intermediate layer between IoT sensors/devices and data centers. Keywords: Fog Computing, Internet of Things(IOT), Cloud Computing (CC).

In this paper, we use cloud computing, but as we all know, cloud computing is a future development direction, so in the future, how to use cloud computing well is an important topic in front of us. In the future education, cloud computing is also a development direction, and integrating resources is also the future development direction. But how to combine the two is one of the directions that people should think about in the future. This paper is in such an environment to think about the combination of the two to serve us or to integrate educational resources for the future.KeywordsCloud computingUniversitiesIdeological and political education network

Cloud Computing is a new computing paradigm with the potential to radically change the way Internet applications and services are specified, developed, deployed, executed, managed, operated and evolved. Among the several benefits commonly associated with the adoption of cloud computing are: low initial investment, no need to maintain a physical infrastructure, reduction and greater control of operational costs, and high scalability. However, to fully achieve those benefits there are still a number of challenges to be addressed, especially regarding new solutions aimed at supporting application developers.This paper offers an overview, from the perspective of application development support, of the new research challenges and opportunities being created with the advent of cloud computing. To investigate those challenges is the main goal of the AltoStratus project, a recently created cloud computing research and collaboration network including researchers from eight Brazilian institutions located in three different regions of the country.

Mobile cloud computing (MCC) is a technique or model, in which mobile applications are built, powered and hosted using cloud computing technology. It refers to the availability of Cloud Computing services in a mobile environment and it is the combination of the heterogeneous fields like mobile phone device, cloud computing and wireless networks. Of all that has been written about cloud computing, precious little attention has been paid to authentication in the cloud. In this paper we have designed a new effective security model for mobile cloud Database as a Service (DBaaS). A user can change his/her password, whenever demanded. Furthermore, security analysis realizes the feasibility of the proposed model for DBaaS and achieves efficiency. We also proposed an efficient authentication scheme to solve the authentication problem in MCC. The proposed solution which we have provided is based mainly on improved Needham-Schroeder’s protocol to prove the users’ identity to determine if this user is authorized or not. The results showed that this scheme is very strong and difficult to break it.