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Topic: Distributed hash table


  
 Distributed hash table - Wikipedia, the free encyclopedia
Each node is analogous to a bucket in a hash table.
Outside academia, DHT technology has been adopted as a component of BitTorrent and in the Coral Content Distribution Network.
Some DHT designs seek to be secure against malicious participants and to allow participants to remain anonymous, though this is less common than in many other peer-to-peer (especially file sharing) systems; see anonymous P2P.
http://en.wikipedia.org/wiki/Distributed_hash_table   (1483 words)

  
 4. Distributed Hash Tables: Architecture and Implementation
Hash table names are strings, hash table keys are 64 bit integers, and hash table values are opaque byte arrays; operations affect hash table values in their entirety.
All components of the distributed hash table are built using an asynchronous, event-driven programming style.
Hash table API: the hash table API is the boundary between a service instance and its ``DDS library''.
http://www.usenix.org/events/osdi2000/full_papers/gribble/gribble_html/node4.html   (2666 words)

  
 Distributed Hash Tables, Part I
Knowledge of DHT algorithms is going to be a key ingredient in future developments of distributed applications.
This DHT design is simple but entirely sufficient to serve the purpose of a distributed hash table.
The Kademlia DHT solves this by widening the finger table to contain a bucket of j references for each finger table slot instead of only one, where j is defined globally for the whole network.
http://www.linuxjournal.com/node/6797/print   (2496 words)

  
 Kademlia - Wikipedia, the free encyclopedia
BitTorrent Mainline DHT: BitTorrent_client (4.1.0+), µTorrent (1.2+), BitSpirit (3.0+) and BitComet (0.59+): They all share a DHT based on the Khashmir implementation, for trackerless torrents.
Kademlia nodes store data by implementing a distributed hash table.
Since there is no central instance to store an index of existing files, this task is divided evenly among all clients: If a node wants to share a file, it processes the contents of the file, calculating from it a number (hash) that will identify this file within the file-sharing network.
http://en.wikipedia.org/wiki/Kademlia   (840 words)

  
 Distributed Hash Tables Links
SharkyPy is an implementation of a Kademlia Distributed Hash Table.
A new distributed algorithm that can solve the nearest-neighbor problem for certain network topologies is presented.
They propose SPROUT, a DHT routing algorithm that, by using social links, significantly increases the number of query results and reduces query delays.
http://planet.urv.es/marc/dhts.html   (2315 words)

  
 CIS505 Software Systems Spring 2004: Project 2
A DHT lookup algorithm is the foundation of all structured peer-to-peer systems.
It is an example of implementing the DHT and using the whole simulator.
You are to design and implement Chord505, a simplified Distributed Hash Table based on Chord.
http://www.seas.upenn.edu/~cis505/spring2004/project2.html   (992 words)

  
 5. Performance
Figure 5 shows the throughput of a distributed hash table as a function of the number of simultaneous read requests issued to it; each service instance has a closed-loop pipeline of 100 operations.
The bulk loading of the 1.28TB hash table was therefore only marginally slower in terms of the throughput sustained by each replica than the in-core benchmarks, which means that disk throughput was not the bottleneck.
In this section, we present performance benchmarks of the distributed hash table implementation that were gathered on a cluster of 28 2-way SMPs and 38 4-way SMPs (a total of 208 500 MHz Pentium CPUs).
http://usenix.org/events/osdi2000/full_papers/gribble/gribble_html/node5.html   (2205 words)

  
 Ninja
A hash table is just a lookup table- it associates keys with values, and given a key, it can quickly lookup and return the associated value.
But, even given these deficiencies, the current distributed hash table is very useful for applications that either don't need consistent state (such as search engines or web caches), or those that mostly read from the hash table and rarely write to it.
The underlying distributed hash table technology is still in its infancy.
http://ninja.cs.berkeley.edu/demos/parallelisms/underlying_technology.html   (400 words)

  
 Security Seminar - 25 March 2004: Frans Kaashoek
Distributed hash tables (DHTs) are a popular approach to building large-scale distributed applications in the research community.
We have found that given enough network bandwidth every lookup protocol can be made to work well; the real challenge in designing a distributed hash table is engineering the details.
Only a few operational DHTs exist, however, because most research has focused on the design of the lookup protocol to find data in DHT.
http://www.cl.cam.ac.uk/Research/Security/seminars/2004/2004-03-25.html   (153 words)

  
 Slyck News - Azureus Introduces DHT Layer
DHT is a networking protocol that enhances the scalability and efficiency of decentralized networks by creating a virtual index rather than broadcasting search queries.
Decentralized networks that utilized DHT technology are able to search and locate files significantly faster than networks that do not use this technology.
The significance of adding this layer to Azureus is that it significantly increases the efficiency of file distribution.
http://www.slyck.com/news.php?story=772   (450 words)

  
 Tangle: A distributed hash table based on randomized forwarding
The hash values determine where the pairs are stored in memory, allowing the get() and put() operations to be implemented cheaply.
Each node tries to maintain enough information in its routing table so that it always knows a random sample of nodes that are a closer match (if any closer matches exist).
This section summarizes the routing layer of the Tangle protocol.
http://www.nicemice.net/amc/research/tangle/tangle.var   (1559 words)

  
 UCSD Department of Computer Science and Engineering - Abstract - Halperin
We analyze a distributed hash table in which the keys are partitioned across a set of processors.
To the best of our knowledge, this is the first analysis of a distributed hash table that achieves asymptotically optimal load balance, while still only requiring O(\log n) pointers per processor, and O(\log n) queries per location.
The process on the hypercube arises naturally in answering a question on load balancing in peer-to-peer networks.
http://www-cse.ucsd.edu/home/csecal/abstracts/Halperin-200311.html   (244 words)

  
 Frans Kaashoek, UTCS Internet and Grid Computing Lecture Series
Distributed hash tables are a popular way of constructing peer-to-peer systems in the acadamic community.
This talk discusses how to implement a distributed hash table using Chord, which requires log(N) messages and log(N) state per node to lookup a key (where N is the number of nodes).
Frans's research interest is computer systems: operating systems, networking, programming languages, compilers, and computer architecture for distributed, mobile, and parallel systems.
http://www.cs.utexas.edu/users/lasr/igc/Kaashoek.shtml   (452 words)

  
 Dipsea A Modular Hash Table -- Gurmeet Singh Manku -- Doctoral Dissertation
Dipsea is a modular architecture for Distributed Hash Tables.
By treating the state machine as a Markov chain and identifying its steady-state distribution, we are able to compute the average length of shortest paths in Chord, which turns out to be b/3 + Θ(1).
RANDOM distribution results from each participant choosing a random number in [0, 1) as its ID. BALANCED distribution results from any of the ID management algorithms developed in Chapters 2 and 3.
http://www-db.stanford.edu/~manku/phd   (1352 words)

  
 LCS shares grant to build more secure Internet technologies - MIT News Office
Acting as the cornerstone of the new robust shared infrastructure, distributed hash table technology will securely orchestrate data retrieval and computation on open-ended large-scale networks such as the Internet, even when the individual nodes on the network are insecure or unreliable.
The Iris project aims to use "distributed hash table" technology to develop a robust common framework and infrastructure for distributed applications without creating central points of vulnerability.
While one of the immediate goals of the research is to protect widely distributed applications from eavesdropping, tampering and malicious destruction, some long-term goals for the future of software may prove even more important.
http://web.mit.edu/newsoffice/2002/connect-1002.html   (704 words)

  
 meteor:
In Meteor, the DHT algorithms are implemented as a service and can be reused for any applications that require a mechanism to lookup and query a node that holds information based on attribute/value search parameters.
The idea is to simplify the transition between the DHT algorithm design and their implementation, and enable express evaluation and deployment.
The first DHT algorithm implemented in Meteor was Chord (see http://www.pdos.lcs.mit.edu/chord).
http://meteor.jxta.org   (1267 words)

  
 2.11.3 Chord - A Distributed Hash Table Example
In a distributed hash table, the table into which h(k) indexes is distributed across the nodes in the DHT.
A hash table takes an input key k, calculates the hash function on the key h(k), and uses this as an index into a table.
2.11.3 Chord - A Distributed Hash Table Example
http://www.cogs.susx.ac.uk/users/ianw/teach/dist-sys/ds-node167.html   (106 words)

  
 DHT Network in BitComet - BitComet
The DHT algorithm we use is Kademlia (called KAD in eMule, but the network protocol is different from bittorrent.
DHT(Distributed Hash Table) is method of a distributed storage for pairs.
Nothing need to do to use DHT Network in BitComet.
http://wiki.bitcomet.com/help/DHT_Network_in_BitComet   (327 words)

  
 Distributed Data Structures for Peer-to-peer Systems
The first data structure is an abstract model of a distributed hash table, which is used as an overlay network by many contemporary peer-to-peer systems.
At the same time, they present new challenges in designing distributed data structures that can provide the desired functionality such as data availability, dynamic network maintenance and support for complex queries using untrusted and unreliable components.
In addition, it supports spatial locality and complex searches such as near matches to a key, keys within a range or approximate queries.
http://www.cs.yale.edu/homes/shah/pubs/thesis.html   (298 words)

  
 IRIS: Infrastructure for Resilient Internet Systems
The IRIS project is developing a novel decentralized infrastructure, based on distributed hash tables (DHTs), that will enable a new generation of large-scale distributed applications.
DHTs are robust in the face of failures, attacks and unexpectedly high loads.
The IRIS ITR proposal contains more details regarding DHT's and the goals and plans of the IRIS project, including references to the technical literature.
http://www.project-iris.net   (195 words)

  
 A Distributed Hash Table for Computational Grids (ResearchIndex)
Abstract: In this paper, we present and analyze a distributed hash table-based supervised peer-to-peer system that allows an even distribution of and efficient lookup for objects (e.g.
A Distributed Hash Table for Computational Grids (ResearchIndex)
6 distributed data placement strategies for storage area netwo..
http://citeseer.ist.psu.edu/694264.html   (356 words)

  
 The Bamboo DHT -- Introduction
Compared to Pastry, the algorithms are more incremental, a difference that allows Bamboo to better withstand large membership changes in the DHT as well as continuous churn in membership, especially in bandwidth-limited environments.
The term geometry is used to refer to the pattern of neighbor links in a DHT, independent of the routing algorithms or neighbor management algorithms used.
At the most basic level, it allows a group of distributed hosts to collectively manage a mapping from keys to data values, without any fixed hierarchy, and with very little human assistance.
http://www.bamboo-dht.org   (344 words)

  
 Distributed hash table : DHT
A distributed hash table (DHT), is a technology based on hash tables enabling identification and retrieving, in distributed systems like some P2P networks, of information.
The whole table is distributed on the network : each node has a part of it.
Distributed hash tables are being used in Freenet and Chord.
http://www.explainthat.info/dh/dht.html   (266 words)

  
 DHT (distributed hash table)
DHT is like having a file cabinet distributed over numerous servers, explained Frans Kaashoek, a professor of Computer Science and Engineering at the Massachusetts Institute of Technology (MIT).
The trick for the researchers is creating a "lookup" algorithm that allows the location of data to be found in a short series of steps.
Instead, each server has a partial list, or small routing table, of where data is stored in the system.
http://www.networkworld.com/details/805.html   (767 words)

  
 Publications
The Emulation Engine makes the design of Dipsea a significant improvement over existing DHT implementations, all of which are tied to specific families of routing networks.
Dipsea places existing DHT designs and improvements suggested for various DHTs into a common algorithmic framework.
Briefly, each machine in a DHT is assigned an ID in I = [0; 1).
http://crypto.stanford.edu/portia/pubs/articles/M28118455.html   (652 words)

  
 Distributed DNS
For that purpose a peer to peer distributed hash table is used which is similar to the Kademlia protocol.
The virtual machine is not optimized and is quite slow, but it works so far.
Today I started a project page for my master thesis "Feasbility, Pros and Cons for Distributed DNS".
http://distributeddns.sourceforge.net   (1251 words)

  
 4th International Workshop on distributed Event-Based Systems (DEBS'05)
We formalize publisher mobility algorithms for a distributed publish/subscribe system supporting mobile publishers, and develop and evaluate optimizations for mobile publisher algorithms.
In this paper, we present a novel approach to accomplish this task by exploiting a Distributed Hash Table (DHT).
Finally we evaluate this approach and suggest that an optimal solution also requires knowledge of both the network interface in use and of the underlying network topology.
http://www.qucis.queensu.ca/~dingel/debs05/papers.htm   (1685 words)

  
 Pastry - A scalable, decentralized, self-organizing and fault-tolerant substrate for peer-to-peer applications
Likewise, quorum-based protocols can be used to securely update and query the state of replicated objects, despite the presence of a limited number of malicious nodes in the system.
Without requiring any global coordination, this results in a good first-order balance of storage requirements and query load among the Pastry nodes, as well as network load in the underlying Internet.
Subsequent lookup requests whose paths intersect are served the cached copy.
http://freepastry.org   (1013 words)

  
 6.2 Assignment 2: The implementation of a simplified distributed hash table
In doing the assignment, you will demonstrate the use of a simulated environment for the verification of the correctness of algorithms, and show how to use a simulator framework to implement distributed algorithms.
to introduce you to the simulation of distributed systems algorithms
6.2 Assignment 2: The implementation of a simplified distributed hash table
http://www.cogs.susx.ac.uk/users/ianw/teach/dist-sys/assignment_2.html   (86 words)

  
 Citebase - ReCord: A Distributed Hash Table with Recursive Structure
In Proceedings of the 21st ACM Symposium on Principles of Distributed Computing (PODC 2002), 2002.
ReCord is scalable and can be easily implemented as an overlay network, and offers a good tradeoff between the node degree and query latency.
Accessing nearby copies of replicated objects in a distributed environment.
http://citebase.eprints.org/cgi-bin/citations?id=oai:arXiv.org:cs/0410074   (540 words)

  
 ITinfo: National Science Foundation Commissions Secure Internet Infrastructure
DHT technology creates multiple pointers to data, concurrently storing data files on several servers.
The IRIS project will develop a lookup algorithm that enables dislocated data to be quickly acquired and assembled.
The Infrastructure for Resilient Internet Systems (IRIS) project will create a distributed hash table (DHT) that facilitates distributed data systems.
http://www.dgl.com/itinfo/2002/it020925.html   (459 words)

  
 Citebase - A Random Structure for Optimum Cache Size Distributed hash table (DHT) Peer-to-Peer design
We propose a new and easily-realizable distributed hash table (DHT) peer-to-peer structure, incorporating a random caching strategy that allows for \em polylogarithmic search time while having only a \em constant cache size.
A Random Structure for Optimum Cache Size Distributed hash table (DHT) Peer-to-Peer design
We also show that a very large class of deterministic caching strategies, which covers almost all previously proposed DHT systems, can not achieve polylog search time with constant cache size.
http://citebase.eprints.org/cgi-bin/citations?id=oai:arXiv.org:cs/0210010   (489 words)

  
 Dermi: A New Distributed Hash Table-Based Middleware Framework
High Performance Distributed Computing, IEEE CS Press, 1996, pp.
Citation:  Carles Pairot Gavalda, Pedro Garcia Lopez, Skarmeta Skarmeta, "Dermi: A New Distributed Hash Table-Based Middleware Framework," IEEE Internet Computing, vol. 08,  no. 3,  pp.
[8] S. Rhea,, et al, Handling Churn in a DHT, report UCB/CSD-03-1299, Computer Science Dept., Univ. Calif., Berkeley, 2003.
http://csdl2.computer.org/persagen/DLAbsToc.jsp?resourcePath=/dl/mags/ic/&toc=comp/mags/ic/2004/03/w3toc.xml&DOI=10.1109/MIC.2004.1297277   (411 words)

  
 The Chord/DHash Project - Overview
The basis for much of our work is the Chord distributed hash lookup primitive.
The Chord project aims to build scalable, robust distributed systems using peer-to-peer ideas.
Master's thesis, Massachusetts Institute of Technology, May 2003.
http://pdos.csail.mit.edu/chord   (609 words)

  
 Ganesan, Prasanna; Sun, Qixiang; Garcia-Molina, Hector: YAPPERS: A Peer-to-Peer Lookup Service Over Arbitrary Topology
Existing peer-to-peer search networks generally fall into two categories: Gnutella-style systems that use arbitrary topology and rely on controlled flooding for search, and systems that explicitly build an underlying topology to efficiently support a distributed hash table (DHT).
In this paper, we propose a hybrid scheme for building a peer-to-peer lookup service over arbitrary network topology.
http://dbpubs.stanford.edu:8090/pub/2002-24   (314 words)

  
 A Simple Fault Tolerant Distributed Hash Table - Naor, Wieder (ResearchIndex)
Abstract: We introduce a distributed hash table (DHT) with logarithmic degree and logarithmic dilation.
200 A digital fountain approach to reliable distribution of bulk..
198 Consistent hashing and random trees: Distributed caching pro..
http://citeseer.ist.psu.edu/560557.html   (458 words)

  
 O'Reilly Network Weblogs: CodeCon 2.0: Day Three
On day three of CodeCon 2.0, Andrew Loewenstern presented Khashmir, a distributed hash table library based on the Kademlia algorithm.
This algorithm is perfectly suited for implementing distributed indexing schemes in P2P systems.
The basic idea behind distributed hash table (DHT) algorithms is that like a regular hash tables they can be used to store key-value pairs, but the nodes of the hash table may reside on different peer servers.
http://www.oreillynet.com/lpt/wlg/2843   (1103 words)

  
 Moni Naor: Recent Papers
Moni Naor and Benny Pinkas, Distributed Oblivious Transfer, ASIACRYPT 2000.
IPTPS 2003, Lecture Notes in Computer Science 2735, Springer, pp.
Moni Naor and Guy N. Rothblum, Simulating Secret Knowledge: The Learnability of Adaptively Changing Distributions, Abstract,
http://www.wisdom.weizmann.ac.il/~naor/recent.html   (410 words)

  
 PeerSec Networks - Chord Distributed Hash Table
Using a distributed hash table instead of UDDI for service discovery is much more robust and dynamic.
We've updated the website with a Java based demo of our P2P lookup system, which is based on MIT's Chord protocol.
Click on the link for more information on the protocol, and links to technical whitepapers.
http://www.peersec.com/archives/000042.html   (93 words)

  
 [No title]
7   \ó Ÿ¨A Distributed Hash TableŸ¨çAttractive foundation for a distributed lookup algorithm Data is identified with unique numeric keys, and nodes store keys for each other Implements one operation: lookup(key) Finds a node currently responsible for the given key.
¡F±6 ÿþ±6óŸ¨A Distributed Hash TableŸ¨  To publish a file: Converts the name to a numeric key using hash function, then calls lookup(key).
Then sends the file to be stored at the node(s) responsible for the key.
http://www.cs.bilkent.edu.tr/~korpe/seminar/LookingUpData-in-P2PSystems.ppt   (176 words)

  
 Dynamic Linked Lists Website
An asynchronous communication library for accessing and managing dynamic hash tables over a network of Symmetric Multiprocessors (SMP) is presented.
It is also shown that remote accesses to a distributed hash table can be as effective and scalable as the one-sided operations of the low-level communication middleware on an IBM SP.
A blocking factor is shown experimentally to reduce the variance of the wall clock time.
http://csm.pnl.gov/statistics/dll   (76 words)

  
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Load balancing under overload: cache requested block along lookup path.¡¢an v *n vó;5Ÿ¨CHORD Details: LookupŸ¨½Lookup: Use finger table to find a node halfway between current node and target.
Tell predecessor to insert new as successor Copy finger table from existing node (usually nearby) Repair finger table by querying for (self + 2i) when indirecting through a hop that is off by more than a fraction, or hop not responding.
Lookup: Successor table --- kept accurately Finger table --- roughly accurate, heuristics use physically close nodes.
http://www.cis.upenn.edu/~mbgreen/courses/cse480/lectures/Lecture27-p2p.97.ppt   (363 words)

  
 Homepage of Udi Wieder אודי וידר
Naor, U. Wieder, Scalable and Dynamic Quorum Systems, To appear in special issue of Distributed Computing.
Naor, U. Wieder, A Simple Fault Tolerant Distributed Hash Table, IPTPS 2003
- a distributed directory of on-line museums, links to almost any museum in the world.
http://www.wisdom.weizmann.ac.il/~uwieder   (253 words)

  
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http://www.eecg.toronto.edu/~jacobsen/courses/ece1770/etopic/DHT.ppt   (339 words)

  
 Hexapedia - Chord
Chord is a distributed hash table-based file sharing network.
In computing, a chord could refer to mouse chording or a chorded keyboard, where multiple buttons are held down to produce a specific action or to type a character.
The term chord was selected due to the curved nature of the wings surface.
http://www.hexafind.com/encyclopedia/chord   (150 words)

  
 Hash table - definition of Hash table by the Free Online Dictionary, Thesaurus and Encyclopedia.
Hash table is not available in the general English dictionary and thesaurus.
Hash table - definition of Hash table by the Free Online Dictionary, Thesaurus and Encyclopedia.
You may also use the word browser links:
http://www.thefreedictionary.com/hash+table   (87 words)

  
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http://www.cs.washington.edu/homes/gribble/papers/quals/sdds-cluster.ppt   (519 words)

  
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http://www.cis.upenn.edu/~lee/05cis505/projects/03-28/03-28adl.ppt   (173 words)

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