PPT-Cloud Control with Distributed Rate Limiting

Raghaven et all Presented by Brian Card CS 577 Fall 2014 Kinicki 1 Motivation Distributed Rate Limiting Global Token Bucket Global Random Drop Flow Proportional Share Simulation and Results. KEY PRODUCT FEATURES Packaged Custom and Third Party Application Management Deep Integrated Middleware Management Industry Leading Database Self Management Integrated Hardware and Software Management for Engineered Systems Converged Hardware and Vir Aas long as organisms have all of these things available to them their population will continue to grow However populations cannot grow forever Some form of environmental resistance will stop the population s growth The form of environmental resis Snoeren Department of Computer Science and Engineering University of California San Diego ABSTRACT Todays cloudbased services integrate globally distribu ted re sources into seamless computing platforms Provisioning a nd ac counting for the resource (aka limiting reagent). Excess Reactant. Theoretical, Actual, and Percentage Yield. Limiting Reactant. (aka limiting reagent). Limiting reactant. : The substance you run out of first, that is consumed first--The reactant that . BIOLOGY. Limiting Factors . Limiting factor: . Anything that prevents a population from growing too . large. Examples? Discuss . Space (disease, predation). Sunlight. Competition (food, water, mates). Reactants. Suppose that you are in a car factory. . In . order to assemble a car, 4 tires and 2 headlights are needed (among other things). . In . this example, imagine that the tires and headlights are reactants while the car is the product formed from the reaction of 4 tires and 2 . Bon Appetite. Suppose you are a chef preparing . F. rench toast for a group of people. You make French toast the way you have always made it: . one egg for every three slices of bread. . You never waiver from this recipe, because the French toast will be either too soggy or too dry. There are 8 eggs and 30 slices of bread in the pantry.. Concerned with identifying the identity of a substance . Or whether a specific substance is present. i.e. flame test, litmus tests. Qualitative Analysis. Determining the quantity (mass or concentration) of a specific substance present in a sample. . Group ID: 4. Baolin Wu, . Liushan. Yang, . Pengyu. . Ji. Motivation & Goals. Distributed File System provides more reliable service.. Cloud Storage Service is very popular. Google Cloud Storage, Dropbox, Amazon SC3 have many users.. Set up a large number of machines all identically configured. Connect them to a high speed LAN. And to the Internet. Accept arbitrary jobs from remote users. Run each job on one or more nodes. Entire facility probably running mix of single machine and distributed jobs, simultaneously. If it takes 500 bricks and 1000 boards to make a house, how many houses can you make from 1600 bricks and 2000 boards?. 2 houses, there are enough bricks for 3.2 houses. but only boards for 2 with our plans (reaction).. Raghaven. et all. Presented by: Brian Card. CS 577 - Fall 2014 - . Kinicki. 1. Motivation. Distributed Rate Limiting. Global Token Bucket. Global Random Drop. Flow Proportional Share. Simulation and Results. Cristian . Borcea . Department of Computer Science. New Jersey Institute of Technology. Mobile Distributed Apps Assisted by Cloud. Enable direct collaboration among mobile users. Novel apps based on huge amounts of data generated every day by . Bob Dolin’s position paper. Fred Baker’s presentation. Distributed control in the. “Internet of Things”. Types of “real time” in communications. Normal Internet communications. Moving files, exchanging text, in a static network.