The NIST definition of cloud computing

Mell, Peter; Grance, Timothy

doi:10.6028/nist.sp.800-145

Cited by 7,785 publications

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“…Although high-performance computing provides new and interesting opportunities to solve large-scale structural engineering problems (Papadrakakis et al, 2011;Hori et al, 2018), the development of new computational models and algorithms that exploit the unique architecture of these machines still remains a challenge (Adeli and Soegiarso, 1998). Cloud Computing is a model for enabling convenient, ondemand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort (Mell and Grance, 2011). An example of a high-performance cloud-based open-source framework is the new SimCenter (Computational Modeling and Simulation Center), a component of NSF-supported NHERI (Natural Hazards Engineering Research Infrastructure).…”

Section: High-performance and Cloud Computingmentioning

confidence: 99%

Computational Structural Engineering: Past Achievements and Future Challenges

Plevris

Tsiatas

2018

Front. Built Environ.

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PAST ACHIEVEMENTS AND CURRENT TRENDSComputational methods are computer-based methods used to numerically solve mathematical models that describe physical phenomena. The purpose of computational modeling is to study the behavior of complex systems by means of computer simulations and it can be used to make predictions of the system's behavior under different conditions, often for cases in which intuitive analytical solutions are not available (Nature, 2018). Computational methods have emerged in engineering during the 1960s. Since then, structural engineers have been leaders in technological solutions to engineering analysis and design problems. The evolution of electronic computers together with the tremendous increase of computational power has triggered the continuous development of computational methods. Rapid advances in computer hardware have had a profound effect on various engineering disciplines. The applications are numerous and cover a broad field of engineering branches including civil, mechanical, naval, electrical, aerospace, material, biomolecular, among others. Computational structural engineering has evolved as an insightful blend combining both structural analysis and computer science.Among all computational methods, the Finite Element Method (FEM) and the Boundary Element Method (BEM) are the most prevalent ones. Both methods exhibit unique characteristics as well as advantages and disadvantages. The FEM, as a simulation tool, enables sophisticated methods of computational mechanics, computer technology and applied mathematics. It has been broadly adopted in scientific research and engineering applications and it can be considered as the most popular method used for structural analysis, tackling linear and nonlinear problems of systems with various geometries, material properties and loads (Reddy, 2005). In FEM, the solution domain is subdivided into a finite number of elements. Each element approximately reproduces the behavior of a small region of the body it represents, but continuity between the elements is only enforced in an overall minimum energy sense. The FEM is especially suitable for problems with complex geometries, but the whole-body discretization scheme that is utilized inevitably leads to a large number of finite elements and, thus, increased computational cost. Although Professor R. Clough coined the term "Finite Element Method" in his pioneer work dated back in 1960 (Clough, 1960), the answer to the question "who invented FEM in everyday use?" is possibly M. Jonathan (Jon) Turner at Boeing who generalized and perfected the Direct Stiffness Method, and convinced his company to commit resources to it, over the period 1952 -1964(Felippa, 2017. The FEM obtained its real impetus in the 1960s and 1970s by the developments of pioneers J. H. Argyris, R. W. Clough, H. C. Martin, O. C. Zienkiewicz and their co-workers who evolved the method and applied it to a wide range of structural problems and applications.In the years since its first use, FEM has grown and developed into a standard...

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Section: High-performance and Cloud Computingmentioning

confidence: 99%

Computational Structural Engineering: Past Achievements and Future Challenges

Plevris

Tsiatas

2018

Front. Built Environ.

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“…All these computing resourceshardware, software, databases, networking, storage media, and so forth-are delivered rapidly to the clients [14]. No doubt the security is first priority to achieve an optimal allocation for immediate cloud services.…”

Section: IImentioning

confidence: 99%

Cloud CRM: State-of-the-Art and Security Challenges

Shaqrah¹

2016

ijacsa

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Abstract-Security undoubtedly play the main role of cloud CRM deployment, since the agile firms utilized cloud services in the providers infrastructures to perform acute CRM operations. In this paper researcher emphasis on the cloud CRM themes, security threads the most concern. Some aspects of security discussed concern on deployment the cloud CRM like: Access customers' database and control; secure data transfer over the cloud; trust among the enterprise and cloud service provider; confidentiality, integrity, availability triad; and security hazard, future studies and practice are presented at the end.

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“…Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction [1]. Gartner defines cloud computing as "a style of computing where massively scalable IT-enabled capabilities are delivered 'as a service' to external customers using Internet technologies" [2].…”

Section: A Cloud Computingmentioning

confidence: 99%

“…Gartner defines cloud computing as "a style of computing where massively scalable IT-enabled capabilities are delivered 'as a service' to external customers using Internet technologies" [2]. Essential Characteristics of cloud computing are on-demand self-service, broad network access, resource pooling, rapid elasticity and measured service [1], [3]. The cloud computing service is classified to public cloud, private cloud, hybrid cloud and community cloud according to deployment target [1].…”

Section: A Cloud Computingmentioning

confidence: 99%

Design of the Integrated Logistics Information System Based on Cloud Computing

Minjeong¹,

Lee²

2015

LNSE

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Abstract-This study presents the practical approach for designing the integrated logistic information system (ILIS) in cloud computing environment. It is intended to optimize resources (vehicles, human resources, oil, etc.) required to logistics management. This system is targeted at the small and medium-sized third-party logistics (3PL) companies which are difficult to establish IT system by providing a remote service environment like SaaS (Software as a Service). In this study, the concepts traveling salesman problem (TSP) and Dynamic Programming (DP) are used for route optimization. We intend to contribute to minimize the operational cost of the logistics system by designing remote service.

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The NIST definition of cloud computing

Cited by 7,785 publications

References 0 publications

Computational Structural Engineering: Past Achievements and Future Challenges

Computational Structural Engineering: Past Achievements and Future Challenges

Cloud CRM: State-of-the-Art and Security Challenges

Design of the Integrated Logistics Information System Based on Cloud Computing

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