FogGIS: Fog Computing for Geospatial Big Data Analytics

Cloud Geographic Information Systems (GIS) has emerged as a tool for analysis, processing and transmission of geospatial data. The Fog computing is a paradigm where Fog devices help to increase throughput and reduce latency at the edge of the client. This paper developed a Fog-based framework named Fog GIS for mining analytics from geospatial data. We built a prototype using Intel Edison, an embedded microprocessor. We validated the FogGIS by doing preliminary analysis. including compression, and overlay analysis. Results showed that Fog computing hold a great promise for analysis of geospatial data. We used several open source compression techniques for reducing the transmission to the cloud.Comment: 6 pages, 4 figures, 1 table, 3rd IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (09-11 December, 2016) Indian Institute of Technology (Banaras Hindu University) Varanasi, Indi

Komal Chaul – A Potential Candidate for Geographical Indication

214-219 It is essential to protect bio-cultural products from being unduly patented and from biopiracy. Identification of a Geographical Indication (GI) itself is not a measure to stop bio-cultural biopiracy and is not an automatic protection to any bio-cultural product; it must be tested against the characteristics of GI. Identified GI must be seen through the bio-cultural protocol that makes it a ready candidate for GI application. This paper presents a step-by-step procedure for identifying and testing of a GI candidate and a walk-through GI candidature, application and registration steps. The case study taken for the purpose of identification is for ‘Komal Chaul’, a suitable candidate for GI from Assam, located in North-Eastern part of India, yet to be registered for GI. The case-study testing proves that this bio-cultural product, i.e. ‘Komal Chaul’ may be registered for GI successfully