Device Tracking Recommendation
| Author(s) | : | Sumit Prakash, Ojas Sonkusare, Vinay singh Parihar, Sachin Kumar Suman |
| Institution | : | Dept.Of Comp.Engg.Dr. D. Y. Patil Institute of Technology Pimpri Pune,Maharashtra,India |
| Published In | : | Vol. 4, Issue 5 — May 2017 |
| Page No. | : | 651-653 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Satellite following of individuals (STOP) tracks thousands of GPS-enabled devices twenty four hours on adaily basis and twelve months a year. With locations captured each} device every minute, STOP servers receive tens ofinnumerable points on a daily basis. Additionally to cataloging these points in period of time, STOP should conjointlyreply to queries from customers like, what devices of mine were at this location 2 months ago? They typically thenbroaden their question to at least one like, that of my devices have ever been at this location? The process needsnecessary to answer these queries whereas continued to method arriving knowledge in period of time is non-trivial. tofulfill this demand, STOP developed adaptation Partitioning to supply a cheap and extremely accessible hardwareplatform for the geographical and time-spatial compartmentalization capabilities necessary for responding to clientknowledge requests whereas continued to catalog arriving knowledge in period of time.
Sumit Prakash, Ojas Sonkusare, Vinay singh Parihar, Sachin Kumar Suman, “Device Tracking Recommendation”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 5, pp. 651-653, May 2017.
