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Caching at the Web Scale

Caching at the Web Scale. Victor Zakhary, Divyakant Agrawal, Amr El Abbadi. The old problem of Caching. Smaller Faster Expensive. L 1. L 2. Larger Slower Cheaper. RAM. Disk. The old problem of Caching. T a = T h + m x T m. Smaller Faster Expensive. L 1.

1.34k views • 133 slides

Caching at the Web Scale

Caching at the Web Scale. Victor Zakhary, Divyakant Agrawal, Amr El Abbadi Full slide deck: https://goo.gl/1VYGW3. The old problem of Caching. Smaller Faster Expensive. L 1. L 2. Larger Slower Cheaper. RAM. Disk. The old problem of Caching. T a = T h + m x T m. Smaller Faster

891 views • 89 slides

Adaptive Insertion Policies for High-Performance Caching

Adaptive Insertion Policies for High-Performance Caching. Aamer Jaleel Simon C. Steely Jr. Joel Emer. Moinuddin K. Qureshi Yale N. Patt. International Symposium on Computer Architecture (ISCA) 2007. Memory. L2 miss. Proc. L2. L1. Background.

403 views • 32 slides

Measuring Loss Reserve Uncertainty William H. Panning EVP, Willis Re Casualty Actuarial Society

Measuring Loss Reserve Uncertainty William H. Panning EVP, Willis Re Casualty Actuarial Society Annual Meeting, November 2006 2006 Hachemeister Award Presentation. Agenda. What is Loss Reserve Uncertainty (LRU) and why is it important?

325 views • 32 slides

Multifunctional Information Distribution System (MIDS) Link-16

Multifunctional Information Distribution System (MIDS) Link-16. Project Presentation for Integration of MIDS Link-16 onto an advanced F-16 Aircraft. EMIS 7305 Spring 2011 Dr. Jerrell Stracener B. Hanson, C. Kalina, A. Rodriguez. MIDS is an advanced information distribution system

624 views • 24 slides

LRU Algorithm

809 views • 22 slides

Memory Systems Caching

Memory Systems Caching. Lecture 24 Digital Design and Computer Architecture Harris & Harris Morgan Kaufmann / Elsevier, 2007. The Memory Interface. The Ideal Memory System. Memory Hierarchy. Memory Performance. Hit: is found in that level of memory hierarchy

359 views • 22 slides

Project : Phase 1 Grading

Project : Phase 1 Grading. Default Statistics (40 points) Values and Charts (30 points) Analyses (10 points) Branch Predictor Statistics (30 points) Values and Charts (25 points) Analyses (5 points) L2 cache Replacement Statistics (30 points) Values and Charts (30 points).

289 views • 19 slides

ARC: A SELF-TUNING, LOW OVERHEAD REPLACEMENT CACHE

ARC: A SELF-TUNING, LOW OVERHEAD REPLACEMENT CACHE. Nimrod Megiddo Dharmendra S. Modha IBM Almaden Research Center. Introduction (I). Caching is widely used in storage systems databases web servers processors file systems disk drives RAID controllers operating systems.

452 views • 15 slides

An Example of Performance Based Logistics (Fighter Avionics Upgrade) Dale Waldo 314-705-1865

An Example of Performance Based Logistics (Fighter Avionics Upgrade) Dale Waldo 314-705-1865. Last Rev. 5/10/99 by DFW. Requirements. Implement F 3 I Guaranteed mission capability rate Support peace and war time scenarios

259 views • 15 slides

An Example of Performance Based Logistics (Fighter Avionics Upgrade) Dale Waldo 314-705-1865

An Example of Performance Based Logistics (Fighter Avionics Upgrade) Dale Waldo 314-705-1865. Last Rev. 5/10/99 by DFW. Requirements. Implement F 3 I Guaranteed mission capability rate Support peace and war time scenarios

154 views • 15 slides

Kinematic Mount Design of Line Replaceable Units at the National Ignition Facility

248 views • 13 slides