'Space overhead' diaporamas de présentation

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1.32k views • 111 slides

V. Megalooikonomou Text Databases (some slides are based on notes by C. Faloutsos)

1.11k views • 111 slides

1.11k views • 111 slides

Text and Web Search

Text and Web Search. Text Databases and IR. Text databases (document databases) Large collections of documents from various sources: news articles, research papers, books, digital libraries, e-mail messages, and Web pages, library database, etc. Information retrieval

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Cork: Dynamic Memory Leak Detection with Garbage Collection

Cork: Dynamic Memory Leak Detection with Garbage Collection. Maria Jump Kathryn S. McKinley {mjump,mckinley}@cs.utexas.edu.

503 views • 42 slides

Packet Classification and Filtering for Network Processors

Packet Classification and Filtering for Network Processors. JC Ho. Topics. Packet Classification Kounavis, et al: Directions in Packet Classification for Network Processors DDoS Packet Filtering Thomas, et al: High-speed Legitimacy-based DDoS Packet Filtering with Network Processors.

544 views • 40 slides

Packet Classification and Filtering for Network Processors

Packet Classification and Filtering for Network Processors. JC Ho. Topics. Packet Classification Kounavis, et al: Directions in Packet Classification for Network Processors DDoS Packet Filtering Thomas, et al: High-speed Legitimacy-based DDoS Packet Filtering with Network Processors.

413 views • 40 slides

Identifying Hot and Cold Data in Main-Memory Databases

464 views • 35 slides

Identifying Hot and Cold Data in Main-Memory Databases

494 views • 35 slides

Considerations for Mondriaan -like Systems

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A NEW PAGE TABLE FOR 64-BIT ADDRESS SPACES

618 views • 25 slides

A Reversible Abstract Machine

A Reversible Abstract Machine. Ivan Lanese Focus research group Computer Science Department Univers ity of Bologna/INRIA Italy. Joint work with Michael Lienhardt, Claudio Mezzina and Jean-Bernard Stefani. Roadmap. Origin of the work ? Oz Reversing ? Oz Space overhead Conclusions.

324 views • 25 slides

Jipeng Huang , Michael D. Bond Ohio State University

Efficient Context Sensitivity for Dynamic Analyses via Calling Context Uptrees and Customized Memory Management. Jipeng Huang , Michael D. Bond Ohio State University. Example: dynamic race detector. Thread A. Thread B. race!. w rite x. write x. Example: dynamic race detector.

506 views • 24 slides

Modern Information Retrieval

Modern Information Retrieval. Chapter 8 Indexing and Searching. It is worthwhile building and maintaining an index when the text collection is large and semi-static semi-static: not often updated consider search cost, space overhead, construction cost, and maintenance cost. Inverted file

377 views • 22 slides

Flexible Data Cube for Range-Sum Queries in Dynamic OLAP Data Cubes

Flexible Data Cube for Range-Sum Queries in Dynamic OLAP Data Cubes. Authors: C.-I Lee and Y.-C. Li Speaker: Y.-C. Li Date :Dec. 19, 2002. Outline. Introduction Related works Analysis of the average query and update costs Flexible data cube Performance analysis Conclusions.

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Detecting Missing RAT Attacks with Semantics on Windows

Detecting Missing RAT Attacks with Semantics on Windows. Yan Chen Northwestern University. Outline. Overview (APT and RAT) Motivation (comparison with 5D) Keylogging case study Overall flowchart graphs (already have) System D esign: API + discriminative sigs E valuation

203 views • 20 slides