PPT-Anecdotes on hashing Udi Wieder – VMware Research Group

Plan I spent the last decade advising on numerous cases where hash tablesfunctions were used A few observations on What data structures Ive seen implemented and where What do developers think were they need help. AT A GLANCE VMware View Composer a key component of VMware vSphere 4 is tightly integrated with VMware View Manager to provide advanced image management and storage optimization VMware View Composer reduces storage requirements for virtual desktop m 0 vSphere 41 VMware Workstation 70 VMware Player 30 This document supports the version of each product listed and supports all subsequent versions until the document is replaced by a new edition To check for more recent editions of this document see 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 VMware, Inc.ContentsAboutThisBook5AboutSockets7IntroducingSockets7HowVMCISocketsWork7PossibleUseCases8Performance8PersistenceSockets8SocketProgramming8SpecificReleases8LocationIncludeFile9WebAccessVMC Hashing!. Hashing. Group Activity 1:. Take the message you were given, and create your own . version of hashing.. You can . hash it . anyway you want. Try to make an interesting version that you think no other group will be able to guess. VMware @ VMware Case Study VMware, Inc. 3401 Hillview Avenue Palo Alto CA 94304 USA Tel 877-486-9273 Fax 650-427-5001 www.vmware.comCopyright Approximate Near Neighbors. Ilya Razenshteyn (CSAIL MIT). Alexandr. . Andoni. (Simons Institute). Approximate Near Neighbors (ANN). Dataset:. . n. points in . d. dimensions. Query:. a point within . What is an anecdote?. A personal statement that connect you to the topic.. How do we make an anecdote?. Think about your topic. Decide how AND when it affected you OR your family. Write about it in two short sentences. 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.. What is a hashing function?. Fingerprint for a given piece of data. Typically generated by a mathematical algorithm. Produces a fixed length string as its . output. Hashes are sometimes . called a . checksum or message digests. An . anecdote. is a brief, entertaining story, usually about an event that really happened to the person telling the . story. It . is typically something that is funny, scary or . remarkable . You . Amjad. . Daoud. , Ph.D.. http://iswsa.acm.org/mphf. Practical Perfect Hashing for very large Key-Value Databases . Abstract. This presentation describes a practical algorithm for perfect hashing that is suitable for very large KV (key, value)...