{"title":"Realizing the Potential of Stratosphere Utilization via Stratosphere Data Centers","authors":"A. Periola, K. Ogudo, A. Alonge","doi":"10.1109/icABCD59051.2023.10220520","DOIUrl":null,"url":null,"abstract":"The stratosphere is an aeronautical resource whose use is of benefit to the government in delivering aviation services. It also provides a freely cooling environment making it suitable for hosting non-terrestrial data centers. However, the development of a framework enabling the utilization of the stratosphere requires further research attention. The research presents a multientity architecture that describes the role of a stratosphere-bound airport that supports the deployment and use of future stratosphere-based data centers. The solution being presented is intended to increase the operational duration of future deployed stratosphere-based data centers. The focus here is on enhancing the operational duration of the stratosphere-based data center. This is important for its role in future networks. Analysis shows that the proposed solution improved the operational duration by at least 33% and by up to 76% on average.","PeriodicalId":51314,"journal":{"name":"Big Data","volume":"4 1","pages":"1-6"},"PeriodicalIF":2.6000,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Big Data","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/icABCD59051.2023.10220520","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
The stratosphere is an aeronautical resource whose use is of benefit to the government in delivering aviation services. It also provides a freely cooling environment making it suitable for hosting non-terrestrial data centers. However, the development of a framework enabling the utilization of the stratosphere requires further research attention. The research presents a multientity architecture that describes the role of a stratosphere-bound airport that supports the deployment and use of future stratosphere-based data centers. The solution being presented is intended to increase the operational duration of future deployed stratosphere-based data centers. The focus here is on enhancing the operational duration of the stratosphere-based data center. This is important for its role in future networks. Analysis shows that the proposed solution improved the operational duration by at least 33% and by up to 76% on average.
Big DataCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
9.10
自引率
2.20%
发文量
60
期刊介绍:
Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The Journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications within their businesses and institutions.
Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government.
Big Data coverage includes:
Big data industry standards,
New technologies being developed specifically for big data,
Data acquisition, cleaning, distribution, and best practices,
Data protection, privacy, and policy,
Business interests from research to product,
The changing role of business intelligence,
Visualization and design principles of big data infrastructures,
Physical interfaces and robotics,
Social networking advantages for Facebook, Twitter, Amazon, Google, etc,
Opportunities around big data and how companies can harness it to their advantage.