{"title":"Cloud/big data computing for defense","authors":"R. Pino","doi":"10.1145/2345316.2345329","DOIUrl":null,"url":null,"abstract":"The ever growing necessity for Big Data processing within the industry, government, and specially within defense applications causes the need and requirement for the fast development of new technologies. In addition, the protection of Big Data can be a serious problem because security is commonly an afterthought during technology development, and the exponentially increasing rate at which new data is generated presents many challenges. Although conventional Turing computation has been remarkably successful, it does not scale well and is failing to adapt to novel application domains in cyberspace. Fortunately, Turing formalism for computation represents only a subset of all possible computational possibilities. Unconventional computing - the quest for new algorithms and physical implementations of novel computing paradigms based on and inspired by principles of information processing in physical and biological systems - may help to solve some of the information overflow problems facing the Defense community. These and other topics will be covered by our diverse panel of experts.","PeriodicalId":400763,"journal":{"name":"International Conference and Exhibition on Computing for Geospatial Research & Application","volume":"307 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference and Exhibition on Computing for Geospatial Research & Application","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2345316.2345329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

The ever growing necessity for Big Data processing within the industry, government, and specially within defense applications causes the need and requirement for the fast development of new technologies. In addition, the protection of Big Data can be a serious problem because security is commonly an afterthought during technology development, and the exponentially increasing rate at which new data is generated presents many challenges. Although conventional Turing computation has been remarkably successful, it does not scale well and is failing to adapt to novel application domains in cyberspace. Fortunately, Turing formalism for computation represents only a subset of all possible computational possibilities. Unconventional computing - the quest for new algorithms and physical implementations of novel computing paradigms based on and inspired by principles of information processing in physical and biological systems - may help to solve some of the information overflow problems facing the Defense community. These and other topics will be covered by our diverse panel of experts.
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云/大数据计算用于国防
工业、政府,特别是国防应用中对大数据处理的需求日益增长,这导致了对新技术快速发展的需求和要求。此外,大数据的保护可能是一个严重的问题,因为在技术开发过程中,安全通常是一个事后考虑的问题,而新数据生成的指数级增长速度带来了许多挑战。尽管传统的图灵计算已经非常成功,但它不能很好地扩展,并且不能适应网络空间中的新应用领域。幸运的是,图灵的计算形式只代表了所有可能计算可能性的一个子集。非常规计算——基于物理和生物系统中的信息处理原理并受其启发,对新型计算范式的新算法和物理实现的探索——可能有助于解决国防界面临的一些信息溢出问题。这些和其他主题将由我们多样化的专家小组讨论。
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