Space Analysis and Research Centers (SpARCs) for SSA Data and Analytics
نویسندگان
چکیده
Widespread use of massive data and increasing reliance on space-based infrastructure are two of the emerging megatrends of the early 21 century. However, both come with liabilities: movement and processing of large data volumes is very expensive, and reliance on space-based infrastructure adds risk that problems in the still incompletely-understood space domain might cause work disruptions. ExoAnalytic proposes the use of Space Analysis and Research Centers (SpARCs) to begin addressing both these issues. A SpARC is a facility which integrates volumes of data collected on satellites, centrally analyzes it, and makes available resulting useful information. The SpARC serves as a customer clearinghouse and a home for informed R&D centered around using data streams to extract useful information while limiting resources spent on moving vast data volumes. Accordingly, a SpARC would possess a systems-oriented research arm as well as a service-oriented customer arm. Housing these functions together matures both in tandem as institutional knowledge and experience related to the stillburgeoning SSA domain grows. In a future where research-derived knowledge of the space domain may grow as rapidly as business-driven utilization of the domain, it is important to have institutional constructs which are specifically designed to serve both needs. A SpARC is uniquely suited to this purpose. ExoAnalytic has developed a concept for a commercial SpARC, to interface among and provide information to government, commercial, and academic users, and is working to stand up an internal protoSpARC, followed by one or more operational SpARCs customized for customer needs.
منابع مشابه
Big Data Analytics and Now-casting: A Comprehensive Model for Eventuality of Forecasting and Predictive Policies of Policy-making Institutions
The ability of now-casting and eventuality is the most crucial and vital achievement of big data analytics in the area of policy-making. To recognize the trends and to render a real image of the current condition and alarming immediate indicators, the significance and the specific positions of big data in policy-making are undeniable. Moreover, the requirement for policy-making institutions to ...
متن کاملA Fuzzy TOPSIS Approach for Big Data Analytics Platform Selection
Big data sizes are constantly increasing. Big data analytics is where advanced analytic techniques are applied on big data sets. Analytics based on large data samples reveals and leverages business change. The popularity of big data analytics platforms, which are often available as open-source, has not remained unnoticed by big companies. Google uses MapReduce for PageRank and inverted indexes....
متن کاملAnalysis of Bazaars and Shopping Centers as Urban Spaces Via Space Syntax Software (Case Studies: Iranian Bazaars and Tehran Shopping Centers)
The aim of this paper is to investigate the bazaars and shopping centers as public spaces. Given theweakness of public places and consequently the weakness of social interactions, today’s societies are in dire need ofsocial spaces to increase social interactions. Therefore, the review of these two as then and now’s urban spaces couldhelp solve some problems. Bazaars are among the oldest Iranian...
متن کاملSocial Set Visualizer (SoSeVi) II: Interactive Social Set Analysis of Big Data
Current state-of-the-art in big social data analytics is largely limited to graph theoretical approaches such as social network analysis (SNA) informed by the social philosophical approach of relational sociology. This paper proposes and illustrates an alternate holistic approach to big social data analytics, social set analysis (SSA), which is based on the sociology of associations, mathematic...
متن کاملApplication of Big Data Analytics in Power Distribution Network
Smart grid enhances optimization in generation, distribution and consumption of the electricity by integrating information and communication technologies into the grid. Today, utilities are moving towards smart grid applications, most common one being deployment of smart meters in advanced metering infrastructure, and the first technical challenge they face is the huge volume of data generated ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2018