The NASA Center for Climate Simulation Data Management System

Abstract

The NASA Center for Climate Simulation (NCCS) plays a lead role in meeting the computational and data management requirements of climate modeling and data assimilation. Scientific data services are becoming an important part of the NCCS mission. The NCCS Data Management System (DMS) is a key element of NCCS's technological response to this expanding role. In DMS, we are using the Integrated Rule-Oriented Data System (iRODS) to combine disparate data collections into a federated platform upon which various data services can be implemented. Work to date has demonstrated the effectiveness of iRODS in managing a large-scale collection of observational data, managing model output data in a cloud computing context, and managing NCCS-hosted data products that are published through community-defined services such as the Earth System Grid (ESG). Plans call for staged operational adoption of iRODS in the NCCS.

Cloud Computing in natural hazard modeling systems: Current research trends and future directions

“…Li et al [33] used features of Cloud Computing to address the complex demands of data, storage, and processing for energy information management. The challenges of large-scale data management, analysis and processing of climate Science were handled using Cloud Computing by the introduction of community defined services such as Earth System Grid [34]. The need of real-time capabilities to solve data-intensive problems and offer on-demand services to a dynamic number of end users in traffic management and surveillance was addressed by Li et al [35] by using Cloud Computing.…”

“…The adaptation of HPGFS along with Hilbert-R+ tree based data indexing in NoSQL database over the Cloud foundation handled the vast amount of unstructured RS data in pipsCloud [110]. Schnase et al [34] used the framework of Integrated Rule-Oriented Data System (iRODS) to store the disparate data over a distributed architecture. The fire data in VirtualFire [38] was stored over the Clouds using geo-database.The community-based Cloud developed by Li et al [90] maintained a virtual community database for physical and human resources information and social media database using semantic dimensions for real-time emergency situation through social medias over the Clouds for emergency management.…”

“…Li et al [35] used Cloud Computing tech-nologies such as Bigtable and MapReduce along with spatial indexing to query high volume of FCD over the Clouds for effective monitoring. Schnase et al [34] facilitated the support for metadata to identify the properties of stored object for easier management of the data archive maintained over the Clouds. Behzad et al [37] used Geospatial middleware for effective data management in their work for ground water simulation.…”

Büyük Veride Kişi Mahremiyetinin Korunması

“…iRODS birçok veri yönetimi uygulamasında kullanılmıĢtır ve dünya çapında çok sayıda kuruluĢ tarafından benimsenmiĢtir. iRODS teknolojisinin kural tabanlı ve büyük ölçekli veri yönetimindeki çeĢitli zorlukların üstesinden gelmek için nasıl uygulandığıyla alakalı birçok yayın vardır [1,[25][26][27][28]. iRODS teknolojisi veriyi korumak ve gizliliği garanti etmek için olan yaygın yaklaĢımlar üzerinde geliĢme sağlamaktadır.…”

Securing Big Data over Network using MD5 Algorithm Technique

“…iRODS is used in a number of data management applications and has been adopted by numerous institutions around the world. Many publications describe the myriad ways in which iRODS technology has been adapted and applied to solve of variety of challenges in policy based, large-scale data management [12][13][14] [15].The iRODS technology provides improvements in common approaches to securing data and ensuring privacy, including: comprehensive set of security controls, improved control of data access and use through metadata, storage virtualization and data security lifecycle, and persistent identifiers. The big data security techniques data also involve released anonymity protection, social networking anonymity protection and data provenance and so on.…”