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ICNP
2009
IEEE
13 years 11 months ago
Scalable IP Lookups using Shape Graphs
—Recently, there has been much renewed interest in developing compact data structures for packet processing functions such as longest prefix-match for IP lookups. This has been ...
Haoyu Song, Murali S. Kodialam, Fang Hao, T. V. La...
KBSE
2009
IEEE
13 years 11 months ago
A Case for Automated Debugging Using Data Structure Repair
—Automated debugging is becoming increasingly important as the size and complexity of software increases. This paper makes a case for using constraint-based data structure repair...
Muhammad Zubair Malik, Khalid Ghori, Bassem Elkara...
WETICE
2009
IEEE
13 years 11 months ago
Search Optimizations in Structured Peer-to-Peer Systems
Abstract—DHT systems are structured overlay networks capable of using P2P resources as a scalable platform for very large data storage applications. However, their efficiency ex...
Nuno Lopes, Carlos Baquero
WEA
2010
Springer
545views Algorithms» more  WEA 2010»
13 years 11 months ago
Experiments on Union-Find Algorithms for the Disjoint-Set Data Structure
Abstract. The disjoint-set data structure is used to maintain a collection of non-overlapping sets of elements from a finite universe. Algorithms that operate on this data structu...
Md. Mostofa Ali Patwary, Jean R. S. Blair, Fredrik...
STOC
2001
ACM
159views Algorithms» more  STOC 2001»
14 years 4 months ago
Optimal static range reporting in one dimension
We consider static one dimensional range searching problems. These problems are to build static data structures for an integer set S U, where U = {0, 1, . . . , 2w - 1}, which su...
Stephen Alstrup, Gerth Stølting Brodal, The...
ESORICS
2009
Springer
14 years 5 months ago
Data Structures with Unpredictable Timing
Abstract. A range of attacks on network components, such as algorithmic denial-of-service attacks and cryptanalysis via timing attacks, are enabled by data structures for which an ...
Darrell Bethea, Michael K. Reiter
ICML
2000
IEEE
14 years 5 months ago
A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
Paul Komarek, Andrew W. Moore