MVP Technical Series Surviving Disaster: Building Site Resiliency for Exchange 2013. Manu Philip ( Exchange Server MVP). New York: 631-345-5292 • Limerick: +353-61-260-101 • Hannover: + 49-511-367393-0 • Singapore: + 65-62222429. MVP Technical Series.

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Failover Procedures. A. Cavalli A. Pagano. Outline. Failover idea Local failover concepts Points from last COD (Barcelona) Geo-failover proposal Conclusions. Failover idea.

DNS Failover. Presenter: Tim McAdoo Date: 04/17/2007. Introduction. Define Failover Queries Caching Registrars Other Protocols. Definition Failover. Failover vs. Fall-over. DNS Query Flow. DNS Caching. Caching levels Expiration. Domain Registrars. Registrars WHOIS records

Lossy Compression. Lossy compression techniques rely on the fact that the human visual system is insensitive to the loss of certain kind of information.

Lossy Compression. 15-211 Fundamental Data Structures and Algorithms. Peter Lee February 18, 2003. Announcements. Homework #4 is available Due on Monday, March 17, 11:59pm Get started now! Quiz #2 Available on Tuesday, Feb.25

Lossy Compression. CIS 465 Spring 2013. Lossy Compression. In order to achieve higher rates of compression, we give up complete reconstruction and consider lossy compression techniques So we need a way to measure how good the compression technique is

E[X(i,j)X(i-1,j)] E[X 2 (i,j)]. E[X(i,j)X(i,j-1)] E[X 2 (i,j)]. Lossy Compression. Based on spatial redundancy Measure of spatial redundancy: 2D covariance Cov X (i,j)= 2 e - a (i*i+j*j) Vertical correlation r 1 = Horizontal correlation r 2 = For images we assume equal correlations

Lossy Compression. William Dayton Nick Trojanowski. Lossy file compression compresses files by trimming out data, and therefore quality, from the original data. The loss of data is not usually enough to be noticeable by the user, but can immensely save on file size. Definition.

Lossy Compression. Trevor McCasland Arch Kelley. How Do I Lossy Compress?. Goal: reduce the size of stored files and data while retaining all necessary perceptual information Used to create an encoded copy of the original data with a (much) smaller size

Lossy Compression. Lossless Compression. Run length encoding Huffman Coding. Lossy Compression. Human Auditory System: not sensitive data can be discarded in order to compress the data. 2 Hz to 2000 Hz. Silence Compression:. Silence compression treats small samples as if they are silence.