Paper Details

Microblogging services became among the foremost fashionable services on the net within the previouscouple of years. This LED to important increase in information size, speed, and applications. This paper presents Venus;a system that supports period abstraction queries on microblogs. Venus supports its queries on a abstraction boundary Rand a temporal boundary T, from that solely the top-k microblogs area unit came back within the question answersupported a spatio-temporal ranking operate. Supporting such queries needs Venus to digest many various periodmicroblogs in main-memory with high rates, yet, it provides low question responses and economical memory utilization.to the present finish, Venus employs: (1) AN economical in-memory spatio-temporal index that digests high rates ofincoming microblogs in real time, (2) a ascendible question processor that prune the search area, R and T, effectively toproduce low question latency on various things in real time, and (3) a gaggle of memory optimisation techniques thatgive system directors with completely different choices to save lots of important memory resources whereas keeping thequestion accuracy nearly excellent. Venus memory optimisation techniques build use of the native arrival rates ofmicroblogs to neatly shed microblogs that area unit sufficiently old to not contribute to any question answer.additionally, Venus will adaptively, in real time, alter its load shedding supported each the abstraction distribution andtherefore the parameters of incoming question masses. All Venus elements will accommodate completely differentabstraction and temporal ranking functions that area unit ready to capture the importance of every dimension otherwisecounting on the applications needs. in depth experimental results supported real Twitter information and actual locationsof Bing search queries show that Venus supports high arrival rates of up to sixty four K microblogs/second and averagequestion latency of four unit of time.

Akanksha Singh, Samarth Shekhar, Bhagwati Ghbhane, Prof. Latika Desai, “Efficient Query Processing in Geographic Web Search Engines”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 4, pp. 1250-1253, April 2017.