'Failures' presentation slideshows

SECOND PART: Algorithms for UNRELIABLE Distributed Systems (The consensus problem)

SECOND PART: Algorithms for UNRELIABLE Distributed Systems (The consensus problem). Failures in Distributed Systems. Link failure: A link fails and remains inactive; the network may get disconnected Processor Crash: At some point, a processor stops taking steps

1.28k views • 119 slides

SECOND PART: Algorithms for UNRELIABLE Distributed Systems (The consensus problem)

SECOND PART: Algorithms for UNRELIABLE Distributed Systems (The consensus problem). Failures in Distributed Systems. Link failure : A link fails and remains inactive forever; the network may get disconnected

1.21k views • 105 slides

Hector Garcia-Molina

CS 347: Parallel and Distributed Data Management Notes06: Reliable Distributed Database Management. Hector Garcia-Molina. Reliable distributed database management. Reliability Failure models Scenarios. Reliability. Correctness Serializability Atomicity Persistence Availability.

954 views • 83 slides

Place Sharing Network

956 views • 73 slides

Synchronization Ideas

Synchronization Ideas. Charles E. Dike Intel Corporation. Introduction. Tutorial Share some ideas about synchronization and metastability Introduce NEW, IMPROVED theory on metastability Charles Dike (cdike@ichips.intel.com). Synchronous Clock at 1.5GHz. Synchronous Clock at 3.0 GHz.

983 views • 64 slides

Introduction to Erasure coding

1.05k views • 59 slides

Implementation Project 5-6386-1

Implementation Project 5-6386-1. Proposed JCP Performance Prediction Models for PMIS. Presentation Outline. Results Failed joints and cracks Failures Patches Longitudinal cracks Shattered slabs Ride score Conclusions. Overview of JCP distresses in PMIS

560 views • 47 slides

B737 GPS/FMS

B737 GPS/FMS. Part 1: GPS Theory and Operation. Topics GPS Background GPS Signals and Ranging GPS Components GPS Accuracy World Geodetic Survey 84 (WGS 84) Receiver Autonomous Integrity Monitoring (RAIM) Fault Detection and Exclusion (FDE) Step Detector

769 views • 42 slides

236601 - Coding and Algorithms for Memories Lecture 11

541 views • 42 slides

From

483 views • 35 slides

Survivable Mapping Algorithm by Ring Trimming (SMART) for large IP-over-WDM networks

BroadNets 2004, October 25-29, San Jose. Survivable Mapping Algorithm by Ring Trimming (SMART) for large IP-over-WDM networks. Maciej Kurant, Patrick Thiran Swiss Federal Institute of Technology - Lausanne (EPFL), Switzerland. Link-survivable mapping. Connected. Logical topology.

453 views • 27 slides

Toward Recovery-Oriented Computing

Toward Recovery-Oriented Computing. Armando Fox, Stanford University David Patterson, UC Berkeley and a cast of tens. Outline. Whither recovery-oriented computing? research/industry agenda of last 15 years

438 views • 26 slides

Simple Probability and Odds

386 views • 22 slides

Activity of the conciliation Body

268 views • 14 slides

The Fearful. The Fabulous. The Forgotten.

The Fearful. The Fabulous. The Forgotten. The Fearful. 1. The Iron Curtain Descends on Europe 2. The Korean War: Truman Stays True to his Word 3. America Reacts: McCarthyism, Nuclear War Drills and Bomb Shelters. You Tube: Do it Yourself Fallout Shelter.

345 views • 13 slides

Photon Calibration System ( PhotonCal )

Photon Calibration System ( PhotonCal ). LIGO-?????????. PhotonCal Functions. Using photon radiation pressure, a pply sinusoidally varying forces to each ETM which can be used to calibrate the displacement response of the aLIGO interferometers. PhotonCal Requirements .

205 views • 12 slides

Student meeting 27.05.2013 Reliability analysis of the Input Monitor in the BLEDP

197 views • 9 slides

Mughals Rise to Power

246 views • 6 slides

Democratic Failures

Democratic Failures. Coordinate, commit failures (e.g., war) Mean not = median Ex-ante risk of cycles, which coalitions Small group sneaks inefficient pork? Not reveal public good value/cost Private vs. common value/cost Low vs. contrary incentives. Vote Values, Bet Beliefs. 100.

144 views • 2 slides

Fault Tolerant Parallel Data-Intensive Algorithms

Fault Tolerant Parallel Data-Intensive Algorithms Mucahid Kutlu, Gagan Agrawal, Oguz Kurt (Ohio State University). Introduction and Motivation ? The Mean-Time-To-Failure (MTTF) of the sys- tems is decreasing with growing number of cores.

124 views • 1 slides