scholarly journals Implementation of Distributed Operation and Maintenance of Cross-Border e-Commerce Platform Based on Cloud Native Architecture

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
YanJiao Dong ◽  
Yang Zhang

The traditional architecture of e-commerce data management needs to adapt to the new and more complex environment, which needs to provide massive data management, compatibility of different types of data, and better user experience. Cloud computing technology is a synthesis of parallel, distributed, and grid computing and is one of the future directions of information technology development. In this paper, we use cloud computing data management technology to study the data management of e-commerce. It is hoped that the current e-commerce data management can be improved with the help of cloud computing technology. This paper starts from analyzing the current e-commerce representatives Taobao.com and Jingdong Mall to find out the data characteristics of these two enterprises, analyze the existing data problems, and find the aspects that can be improved. Using this open-source cloud computing implementation solution, we solve the storage problem of large files and unstructured small files in the e-commerce system.

2014 ◽  
Vol 971-973 ◽  
pp. 1512-1515
Author(s):  
Feng Li Zhang

This article expounded the concept and characteristics of cloud computing technology, the influences on archives information infrastructure, archives service and utilization mode brought by cloud computing technology were mainly studied. Based on the present situation of cloud computing technology development, it also elaborated some problems in archives security and standardization.


As the cloud computing technology develops throughout the decennary, externalising data to store using cloud resource becomes a trend, which is benefited in heavy data management and maintenance. Notwithstanding, since the externalized cloud depository is not fully reliable, while achieving integrity auditing it elevate security treat on how to realize single instance storage in cloud. In this work, we study the problem of integrity auditing and secure intelligent compression on cloud data. Peculiarly, directing at attaining both eliminating duplicate copies of repeating data i.e., secure deduplication and integrity of data in cloud, we propose an auditing entity with a perpetuation of a MapReduce cloud, which helps audit the integrity as well as uploading of data after clients generate data tags having been collected in cloud.


2014 ◽  
Vol 484-485 ◽  
pp. 227-230
Author(s):  
Guo Hong Zhou

Cloud computing can be regarded as the integration of grid computing and virtualization technology: namely the use of grid distributed computing processing power of IT resources and build into a resource pool, plus on a mature server virtualization, storage virtualization technology make users can real-time monitoring and deployment of resources. Cloud computing and advanced manufacturing technology is facing many challenges during the process of development in the future, including security and privacy will become a primary issue. This study focused on relations with the important areas of emerging industries, the fast scheduling network resources in the cloud computing and advanced manufacturing technology key issues, as well as cloud computing security management issues related to cloud computing and advanced manufacturing technology.


2011 ◽  
Vol 109 ◽  
pp. 631-635
Author(s):  
Pu Yu Yuan

The cloud computing technology has been widely discussed and defined in a number of ways. It’s the new and changing business models enabled by the emergence of the different technologies associated with cloud computing that really count. The effective integration of cloud computing idea and telecom operators' advantage on network and operation can bring large market effect. It has been a core focus in current telecom industry. Based on the analysis of cloud computing concept and technology development, this paper proposes the cloud computing application framework for telecom operator, and explain clearly the operator cloud computing development idea and trend with innovative idea, great ability and unified cloud platform. Finally, some typical cloud computing products are given, which may provide a significant reference for rational planning of operator cloud computing application.


2020 ◽  
Vol 9 (5) ◽  
pp. 313-325
Author(s):  
Markus Gellesch ◽  
Jonathan Jones ◽  
Richard Barron ◽  
Alok Singh ◽  
Qiushuo Sun ◽  
...  

AbstractRecently, several reports with a strong focus on compact, nonstationary optical atomic clocks have been published, including accounts of in-field deployment of these devices for demonstrations of chronometric levelling in different types of environments. We review recent progress in this research area, comprising compact and transportable neutral atom and single-ion optical atomic clocks. The identified transportable optical clocks strive for low volume, weight and power consumption while exceeding standard microwave atomic clocks in fractional frequency instability and systematic uncertainty. Some transportable clock projects additionally address requirements for metrology or serve the joint technology development between industrial and academic stakeholders. Based on the reviewed reports on nonstationary optical atomic clocks, we suggest definitions for transportable, portable and mobile optical atomic clocks. We conclude our article with an overview of possible future directions for developments of optical clock technology.


2014 ◽  
Vol 971-973 ◽  
pp. 1795-1798
Author(s):  
Feng Li Zhang

This article expounded the concept and characteristics of cloud computing technology, the influences on archives information infrastructure, archives service and utilization mode brought by cloud computing technology were mainly studied. Based on the present situation of cloud computing technology development, it also elaborated some problems in archives security and standardization.


Author(s):  
Deverajan Ganesh Gopal ◽  
Sekaran Kaushik

Cloud computing technology has revolutionized the field of networks and the way of utilizing the resources remotely. In the gaming field this has changed the way of playing traditional games in relation to online on-demand available games which reduces the hassle at the clients' end. In order to play a game online, the game content is processed at the server end and rendered images are transmitted to the client's end. This makes the way of accessing easier and the game can be played even without the hardware or software required for the game. We review the cloud gaming architecture and the different types of streaming used by various cloud gaming platforms. Also, the issues and challenges with the service provider technologies used in the cloud gaming are discussed briefly.


Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 742
Author(s):  
Remya Sivan ◽  
Zuriati Ahmad Zukarnain

Cloud based healthcare computing have changed the face of healthcare in many ways. The main advantages of cloud computing in healthcare are scalability of the required service and the provision to upscale or downsize the data storge, collaborating Artificial Intelligence (AI) and machine learning. The current paper examined various research studies to explore the utilization of intelligent techniques in health systems and mainly focused into the security and privacy issues in the current technologies. Despite the various benefits related to cloud-computing applications for healthcare, there are different types of management, technology handling, security measures, and legal issues to be considered and addressed. The key focus of this paper is to address the increased demand for cloud computing and its definition, technologies widely used in healthcare, their problems and possibilities, and the way protection mechanisms are organized and prepared when the company chooses to implement the latest evolving service model. In this paper, we focused on a thorough review of current and existing literature on different approaches and mechanisms used in e-Health to deal with security and privacy issues. Some of these approaches have strengths and weaknesses. After selecting original articles, the literature review was carried out, and we identified several models adopted in their solutions. We arrived at the reviewed articles after comparing the models used.


Kybernetes ◽  
2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmad Latifian

PurposeBig data has posed problems for businesses, the Information Technology (IT) sector and the science community. The problems posed by big data can be effectively addressed using cloud computing and associated distributed computing technology. Cloud computing and big data are two significant past-year problems that allow high-efficiency and competitive computing tools to be delivered as IT services. The paper aims to examine the role of the cloud as a tool for managing big data in various aspects to help businesses.Design/methodology/approachThis paper delivers solutions in the cloud for storing, compressing, analyzing and processing big data. Hence, articles were divided into four categories: articles on big data storage, articles on big data processing, articles on analyzing and finally, articles on data compression in cloud computing. This article is based on a systematic literature review. Also, it is based on a review of 19 published papers on big data.FindingsFrom the results, it can be inferred that cloud computing technology has features that can be useful for big data management. Challenging issues are raised in each section. For example, in storing big data, privacy and security issues are challenging.Research limitations/implicationsThere were limitations to this systematic review. The first limitation is that only English articles were reviewed. Also, articles that matched the keywords were used. Finally, in this review, authoritative articles were reviewed, and slides and tutorials were avoided.Practical implicationsThe research presents new insight into the business value of cloud computing in interfirm collaborations.Originality/valuePrevious research has often examined other aspects of big data in the cloud. This article takes a new approach to the subject. It allows big data researchers to comprehend the various aspects of big data management in the cloud. In addition, setting an agenda for future research saves time and effort for readers searching for topics within big data.


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