'Hash key' presentation slideshows

Peer-to-Peer (P2P) and Sensor Networks

Peer-to-Peer (P2P) and Sensor Networks. Shivkumar Kalyanaraman Rensselaer Polytechnic Institute shivkuma@ecse.rpi.edu http://www.ecse.rpi.edu/Homepages/shivkuma Based in part upon slides of Don Towsley, Ion Stoica, Scott Shenker, Joe Hellerstein, Jim Kurose, Hung-Chang Hsiao, Chung-Ta King.

1k views • 87 slides

Unix Linux Administration III

Unix Linux Administration III. Class 7: Perl hashes. Solaris Zones and Containers. Agenda. Heartbleed patching review. Review lecture from week 6. Review homework Perl hashes. Solaris zones and containers. Class evaluations. heartbleed. Q. Centos/Redhat 6.x vulnerable?

742 views • 60 slides

Perl Tutorial

Practical extraction and report language. Perl Tutorial. http://www.comp.leeds.ac.uk/Perl/start.html. Why Perl?. Perl is built around regular expressions REs are good for string processing Therefore Perl is a good scripting language Perl is especially popular for CGI scripts

728 views • 54 slides

Perl Tutorial

Practical extraction and report language. Perl Tutorial. http://www.comp.leeds.ac.uk/Perl/start.html. Why Perl?. Perl is built around regular expressions REs are good for string processing Therefore Perl is a good scripting language Perl is especially popular for CGI scripts

799 views • 54 slides

CS514: Intermediate Course in Operating Systems

CS514: Intermediate Course in Operating Systems. Professor Ken Birman Vivek Vishnumurthy: TA. Reminder: Distributed Hash Table (DHT). A service, distributed over multiple machines, with hash table semantics Insert (key, value), Value(s) = Lookup (key)

620 views • 53 slides

Programming clusters with DryadLINQ

Programming clusters with DryadLINQ . Mihai Budiu Microsoft Research, Silicon Valley HPC & GPU Supercomputing Group of Silicon Valley Dec 5 , 2011. Design Space. Grid. Internet. Data- parallel. X. Search. Shared memory. D ata center. Transaction. HPC. Latency (interactive).

581 views • 46 slides

Querying the Internet with PIER (PIER = Peer-to-peer Information Exchange and Retrieval)

Querying the Internet with PIER (PIER = Peer-to-peer Information Exchange and Retrieval). Ryan Huebsch Joe Hellerstein, Nick Lanham, Boon Thau Loo, Timothy Roscoe, Scott Shenker, Ion Stoica p2p@db.cs.berkeley.edu UC Berkeley, CS Division. Intel Berkeley Research 4/14/03. Outline. Motivation

533 views • 41 slides

15-211 Fundamental Structures of Computer Science

Dictionaries, Tries and Hash Maps. 15-211 Fundamental Structures of Computer Science. Jan. 30, 2003. Ananda Guna. Based on lectures given by Peter Lee, Avrim Blum, Danny Sleator, William Scherlis, Ananda Guna & Klaus Sutner. Dictionaries. A data structure that supports lookups and updates

535 views • 40 slides

Freenet

1.4k views • 38 slides

Perl for People

Perl for People. Singer XJ Wang Learning Center. Available At: http://www.cs.dal.ca/~swang/4173/pfp.ppt. Perl Variables. Perl is a type-less language (no explicit types like integers, strings, doubles etc) Main data categories (types) are Scalars Lists Hashes

423 views • 33 slides

Chapter 11 Hash

Chapter 11 Hash. Anshuman Razdan Div of Computing Studies razdan@asu.edu http://dcst2.east.asu.edu/~razdan/cst230/. Searching. Searching for a specific value among a collection of values is a common operation. Complexity of search/find using: array linked list ordered list binary tree

431 views • 32 slides

Hashing

412 views • 31 slides

Record Linkage in a Distributed Environment

453 views • 29 slides

Scripting Languages Course 5

Scripting Languages Course 5. Diana Trandab??. Master in Computational Linguistics - 1 st year 2013-2014. Regular expressions -recap. Regular expressions -recap. Hashes (or associative arrays).

324 views • 25 slides

357 views • 19 slides

Department of Computer and Information Science, School of Science, IUPUI

Department of Computer and Information Science, School of Science, IUPUI. SQL Tuning Introduction. Dale Roberts, Lecturer Computer Science, IUPUI E-mail: droberts@cs.iupui.edu. Oracle Data Dictionary. Data Dictionary:

307 views • 16 slides

Introduction to Hashing - Hash Functions

Introduction to Hashing - Hash Functions. Sections 5.1, 5.2, and 5.6. Hashing. Data items stored in an array of some fixed size Hash table Search performed using some part of the data item key Used for performing insertions, deletions, and finds in constant average time

285 views • 12 slides

Query execution hashing based Two pass algorithms

187 views • 10 slides

CPSC 319

231 views • 7 slides

Preliminaries

Preliminaries. Advantages Hash tables can insert(), remove(), and find() with complexity close to O(1). Relatively easy to program Disadvantages There is no convenient way to traverse a hash table. At least double the memory is required.

187 views • 6 slides