1 - PDF document

✩ ✧ ✜ ✤ ✥ ✛ ✦ ✤ ★ ✥ ✦ ✩ ✛ ★ ✪ ✩ ✦ ✛ ✤ ✬ ✦ ✛ ★ ✪ ✩ ★ ✬ ✯ ✲ ✰ ✛ ✦ ✤ ★ ✯ ✜ ★ ✦ ✦ ✩ ★ ✦ ✩ ✛ ★ ✪ ✦ ✤ ★ ✬ ✦ ✩ ✯ ✰ ✛ ✧ ✦ ✩ ✯ ✯ ✰ ✛ ✦ ✤ ★ ✜ ✛ ✲ ✤ ✥ ✛ ✜ ✤ ✥ ✩ ✦ ★ ✚ ✚ ✚ ✲ ✤ ✡ ✧ ✚ ✚ ✚ ✚ ✚ ✚ ✙ ✚ ✚ ✙ ✡ ✚ ✥ ✚ ✚ ✤ ✦ ✛ ✥ ✤ ✜ ✛ ✤ ★ ✦ ✯ ✜ �� ✂✁☎✄✝✆✞✆✠✟ ☛✌☞✎✍✏✡ ✑☎✒✔✓✏☞✖✕✎✗✠✘ 1 �� ✜✣✢ ✜✫✧ �� ✭✮✧ ✛✱✢ �� ✳✫✪ ✛✣✢ �� ✜✣✢ �� ✜✣✢ ✜✫✧ ✜✫✧ ✭✮✧ ✭✮✧ �� ✛✱✢ ✛✱✢ ✳✫✪ ✛✣✢ ✳✫✪ ✛✣✢ �� ✂✁☎✄✝✆✞✆✠✟ ☛✌☞✎✍✏✡ ✑☎✒✔✓✏☞✖✕✎✗✠✘ 2 1

✩ ✦ ★ ✦ ✩ ✪ ★ ✛ ✩ ★ ✯ ✧ ✤ ✦ ✛ ✥ ✤ ✜ ✛ ✦ ✰ ✤ ✙ ✚ ✚ ✚ ✡ ✙ ✙ ✙ ✙ ✛ ✥ ✤ ✲ ✜ ✯ ★ ✤ ✦ ✥ ✬ ✥ ✲ ✛ ✦ ✤ ✧ ✛ ★ ✦ ✩ ✛ ★ ✪ ✜ ✩ ✤ ✦ ★ ✬ ✜ ✯ ★ ✡ ✤ ✦ ✛ ✰ ✯ ✩ ✦ �� ✜✣✢ �� ✜✫✧ ✭✮✧ ✛✱✢ �� ✳✫✪ ✛✣✢ �� ✜✣✢ �� ✜✫✧ ✭✮✧ ✛✱✢ �� ✳✫✪ ✛✣✢ �� ✂✁☎✄✝✆✞✆✠✟ ☛✌☞✎✍✏✡ ✑☎✒✔✓✏☞✖✕✎✗✠✘ 3 �� ✂✁☎✄✝✆✞✆✠✟ ☛✌☞✎✍✏✡ ✑☎✒✔✓✏☞✖✕✎✗✠✘ 4 2

✙ ✡ ✡ ✙ ✙ ✙ ✙ �� ✂✁☎✄✝✆✞✆✠✟ ☛✌☞✎✍✏✡ ✑☎✒✔✓✏☞✖✕✎✗✠✘ 5 �� Time Sensitive Application Data loss Bandwidth no file transfer no loss elastic no e-mail no loss elastic no Web documents loss-tolerant elastic yes, 100’s msec real-time audio/video loss-tolerant audio: 5Kb-1Mb video:10Kb-5Mb yes, few secs stored audio/video loss-tolerant same as above yes, 100’s msec interactive games loss-tolerant few Kbps up yes and no financial apps no loss elastic �✂✁☎✄✝✆✞✆✠✟ ☛✌☞✎✍✏✡ ✑☎✒✔✓✏☞✖✕✎✗✠✘ 6 3

1 - PDF document

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1 - PDF document

Dr. Mais Nijim 1 20.07.2010 Motivation Introduction Related Work 2 20.07.2010

Some Internet Measuremen t Thoughts Richard Barnes BBN Technologies RIPE MAT Co - Chair

Downloading data using curl DATA P ROCES S IN G IN S H ELL Susan Sun Data Person What is

Energy and Green Computing Energy cost has become a major factor in the total cost of

Apps Can Quickly Destroy Your Mobile's Flash: Why They Don't, and How to Keep It That Way Tao

CS 356: Computer Network Architectures Lecture 14: Switching hardware, IP auxiliary functions,

Ubuntu Installa5on Don Porter CSE/ISE 311: Systems Administra5on

Traffic Classification based on Visualization

CLAS12 Software Demonstration Part 1 of 2 Nathan Harrison CLAS Collaboration Meeting November

OS X Imaging, Software and Policy Deployment with Linux Services Doug Brown Redlands College

MongoDB for a High Volume Logistics Application Santa Clara, California | April 23th 25th,

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3 UkkVaT XCE best . k as rank approximation of Xc 0k Rpxk ) orthogonal prnxk

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