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ICNP
2009
IEEE
14 years 2 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
14 years 2 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
14 years 2 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»
14 years 2 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 7 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 8 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 8 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