PDF-Some Open Questions Related to Cuckoo Hashing Michael Mitzenmacher School of Engineering

harvardedu Abstract The purpose of this brief note is to describe recent work in the area of cuckoo hashing including a clear description of several open problems with the hope of spurring further research 1 Introduction Hashbased data structures and. Cambridge PreU is innovative and stimulating It has been developed by Cambridge International Examinations the worlds largest provider of international education programmes and quali64257cations for 5 to 19 year olds and a department of the Universi The analysis uses only very basic and intuitively understandable concepts of probability theory and is meant to be accessible even for undergraduates taking their 64257rst algorithms course 1 Introduction dictionary is a data structure for storing a Up to this point the greatest drawback of cuckoo hashing appears to be that there is a polynomially small but practically signicant probability that a failure occurs during the insertion of an item requiring an expensive rehashing of all items in th harvardedu Kamal Jain Desney Tan Mary Czerwinski Microsoft Research One Microsoft Way Redmond WA kamaljdesneymarycz microsoftcom ABSTRACT The Internet has allowed marketbased systems to become increasingly pervasive In this paper we explore the role Yunchao. Gong. UNC Chapel Hill. yunchao@cs.unc.edu. The problem. Large scale image search:. We have a candidate image. Want to search a . large database . to find similar images. Search the . internet. Faster Triangle . Listing and Set Intersection. David Eppstein. 1. , . Michael T. Goodrich. 1. ,. Michael Mitzenmacher. 2. , and Manuel Torres. 1. 1. University of California, Irvine. 2. Harvard University. H. ashing: . Scalable and Flexible Hashing on GPUs. Farzad Khorasani, Mehmet E. . Belviranli. , Rajiv Gupta, . Laxmi. N. . Bhuyan. University of California Riverside. What Stadium hashing addresses. Plan. I spent the last decade advising on numerous cases where hash tables/functions were used. A few observations on . What data structures I’ve seen implemented and where. What do developers think, were they need help. Consider a set of data with N data items stored in some data structure. We must be able to insert, delete & search for items. What are possible ways to do this? What is the complexity of each structure & method ?. In static hashing, function . h. maps search-key values to a fixed set of . B. . buckets, that contain a number of (K,V) entries.. . . Problem: d. atabases . grow . (or shrink) . with time. . If initial number of buckets is too small, and file grows, performance will degrade due to too much overflows.. Naifan Zhuang, Jun Ye, Kien A. Hua. Department of Computer Science. University of Central Florida. ICPR 2016. Presented by Naifan Zhuang. Motivation and Background. According to a report from Cisco, by 2019:. Siddhartha . Sen. and Mike Freedman. Princeton University. Shard data/ functionality. Scalable p. eer. -to-peer service. untrusted. participants. Peer-to-peer service. Clients. untrusted. participants. Vol.6(2009)1{33ISSN:1549-5787DOI: 10.1214/08-PS141 Asurveyofresultsfordeletionchannelsandrelatedsynchronizationchannels  MichaelMitzenmacher y HarvardUniversity,SchoolofEngineeringandAppliedSciencese Nhan Nguyen. & . Philippas. . Tsigas. ICDCS 2014. Distributed Computing and Systems. Chalmers University of Technology. Gothenburg, Sweden. Our contributions: a concurrent hash table. Nhan D. Nguyen.