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External Memory Algorithms and Data Structures

by Jeffrey Scott Vitter , 1998
"... Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast internal memory and slower external memory (such as disks) can be a major performance bottleneck. In this paper, we surve ..."
Abstract - Cited by 349 (23 self) - Add to MetaCart
and hierarchical memory. We discuss several important paradigms for how to solve batched and online problems efficiently in external memory. Programming tools and environments are available for simplifying the programming task. The TPIE system (Transparent Parallel I/O programming Environment) is both easy to use

Cartel: a distributed mobile sensor computing system

by Bret Hull, Vladimir Bychkovsky, Yang Zhang, Kevin Chen, Michel Goraczko, Allen Miu, Eugene Shih, Hari Balakrishnan, Samuel Madden - In 4th ACM SenSys , 2006
"... CarTel is a mobile sensor computing system designed to collect, process, deliver, and visualize data from sensors located on mobile units such as automobiles. A CarTel node is a mobile embedded computer coupled to a set of sensors. Each node gathers and processes sensor readings locally before deliv ..."
Abstract - Cited by 327 (30 self) - Add to MetaCart
delivering them to a central portal, where the data is stored in a database for further analysis and visualization. In the automotive context, a variety of on-board and external sensors collect data as users drive. CarTel provides a simple query-oriented programming interface, handles large amounts

Maintaining External Memory Efficient Hash Tables

by unknown authors
"... Abstract. In typical applications of hashing algorithms the amount of data to be stored is often too large to fit into internal memory. In this case it is desirable to find the data with as few as possible non-consecutive or at least non-oblivious probes into external memory. Extending a static sche ..."
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scheme of Pagh [11] we obtain new randomized algorithms for maintaining hash tables, where a hash function can be evaluated in constant time and by probing only one external memory cell or O(1) consecutive external memory cells. We describe a dynamic version of Pagh’s hashing scheme achieving 100 % table

List of Tables...........................

by Catherine Rose, Mills Olschanowsky, Catherine Rose, Mills Olschanowsky , 2011
"... by ..."
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Abstract not found

Partitioned External-Memory Value Iteration

by Peng Dai, Mausam , Daniel S. Weld , 2008
"... Dynamic programming methods (including value iteration, LAO*, RTDP, and derivatives) are popular algorithms for solving Markov decision processes (MDPs). Unfortunately, however, these techniques store the MDP model extensionally in a table and thus are limited by the amount of main memory available. ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
parts of the model between disk and main memory. While EMVI can handle larger problems than previously addressed, the need to repeatedly perform external sorts still limits scalability. This paper proposes a new approach. We partition an MDP into smaller pieces (blocks), keeping just the relevant blocks

External-Memory Pattern Databases using Structured Duplicate Detection

by Rong Zhou, et al. , 2005
"... A pattern database is a lookup table that stores an exact evaluation function for a relaxed search problem, which provides an admissible heuristic for the original search problem. In general, the larger the pattern database, the more accurate the heuristic function. We consider how to build large pa ..."
Abstract - Cited by 16 (5 self) - Add to MetaCart
pattern databases that are stored in external memory, such as disk, and how to use an external memory pattern database efficiently in heuristic search. To limit the number of slow disk I/O operations needed to construct and query an external-memory pattern database, we adapt an approach to external-memory

TABLE OF CONTENTS...............................................................................

by Tesi Di Dottorato, Francesco Pagano, Relatore Prof, Ernesto Damiani, Correlatore Prof, Stelvio Cimato, Prof Ernesto Damiani, Anno Accademico Abstract
"... The increasing adoption of Cloud-based data processing and storage poses a number of privacy issues. Users wish to preserve full control over their sensitive data and cannot accept it to be fully accessible to an external storage provider. Previous research in this area was mostly addressed at techn ..."
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The increasing adoption of Cloud-based data processing and storage poses a number of privacy issues. Users wish to preserve full control over their sensitive data and cannot accept it to be fully accessible to an external storage provider. Previous research in this area was mostly addressed

Pipelined Workflow in Hybrid MPI/Pthread runtime for External Memory Graph Construction

by Sandeep Gupta , 2012
"... Graph construction from a given set of edges is a data-intensive operator that appears in social network analysis, ontology enabled databases, and, other analytics processing. The operator represents an edge list to what is called compressed sparse row (CSR) representation (or sometimes in adjacency ..."
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in adjacency list, or as clustered B-Tree storage). In this work, we show how to scale CSR construction to massive scale on SSD-enabled supercomputers such as Gordon using pipelined processing. We develop several abstraction and operations for external memory and parallel edge list and integer array processing

Compressing Forwarding Tables for Datacenter

by Ori Rottenstreich, Marat Radan, Yuval Cassuto, Isaac Keslassy, Carmi Arad, Tal Mizrahi, Yoram Revah, Avinatan Hassidim
"... Abstract—With the rise of datacenter virtualization, the num-ber of entries in the forwarding tables of datacenter switches is expected to scale from several thousands to several millions. Unfortunately, such forwarding table sizes would not fit on-chip memory using current implementations. In this ..."
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-theoretical bounds on the encoding size. We also introduce an algorithm for optimal conditional encoding of the second column given an encoding of the first one. In addition, we explain how our architecture can handle table updates. Last, we evaluate our suggested encoding techniques on synthetic forwarding tables

Compressing Forwarding Tables

by Carmi Aradx, Tal Mizrahix, Yoram Revahx, Avinatan Hassidim
"... Abstract—With the rise of datacenter virtualization, the number of entries in forwarding tables is expected to scale from several thousands to several millions. Unfortunately, such forwarding table sizes can hardly be implemented today in on-chip memory. In this paper, we investigate the compressibi ..."
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of the second column given an encoding of the first one. In addition, we explain how our architecture can handle table updates. Last, we evaluate our suggested encoding techniques on synthetic forwarding tables as well as on real-life tables. I.
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