'Finish time' diaporamas de présentation

Chapter 7 Project Management

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Fair Queuing for Aggregated Multiple Links

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Slides by

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CS 268: Lecture 15/16 (Packet Scheduling)

CS 268: Lecture 15/16 (Packet Scheduling). Ion Stoica April 8/10, 2002. Packet Scheduling. Decide when and what packet to send on output link Usually implemented at output interface. flow 1. Classifier. flow 2. Scheduler. 1. 2. flow n. Buffer management. Why Packet Scheduling?.

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Generalized Processing Sharing (GPS)

Generalized Processing Sharing (GPS). Is work conserving Is a fluid model Service Guarantee GPS discipline can provide an end-to-end bounded-delay service to a session whose traffic is constrained by a leaky bucket. Fair Allocation

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CS 268: Packet Scheduling

CS 268: Packet Scheduling. Ion Stoica March 29, 2004. Packet Scheduling. Decide when and what packet to send on output link Usually implemented at output interface. flow 1. Classifier. flow 2. Scheduler. 1. 2. flow n. Buffer management. Why Packet Scheduling?.

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Tonga Institute of Higher Education Design and Analysis of Algorithms

Tonga Institute of Higher Education Design and Analysis of Algorithms. IT 254 Lecture 5: Advanced Design Techniques. Advanced Design Techniques. Other methods of design, like divide-and-conquer and randomization, can usually be applied to many problems.

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Algorithm Design Methods

Algorithm Design Methods. Greedy method. Divide and conquer. Dynamic Programming. Backtracking. Branch and bound. Some Methods Not Covered. Linear Programming. Integer Programming. Simulated Annealing. Neural Networks. Genetic Algorithms. Tabu Search. Optimization Problem.

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Chapter 3 Project Management

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Partitioning III

Partitioning III. Extended Partitioning for Embedded Applications. Binary partitioning. Goal : Map each node of a directed acyclic graph (DAG) to hardware or software (binary choice) and to determine the schedule for each node.

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A Hybrid Heuristic for DAG Scheduling on Heterogeneous Systems

A Hybrid Heuristic for DAG Scheduling on Heterogeneous Systems. 18th International Parallel and Distributed Processing Symposium (IPDPS'04) – 2004 Rizos Sakellariou Henan Zhao. Outline. Introduction Background Algorithm Experimental Conclusion. Introduction. Main idea Independent sets

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Traffic Engineering for ISP Networks

Traffic Engineering for ISP Networks. Jennifer Rexford Internet and Networking Systems AT&T Labs - Research; Florham Park, NJ http://www.research.att.com/~jrex. Joint work with Anja Feldmann, Albert Greenberg, Carsten Lund, Nick Reingold, and Fred True, and AT&T IP Services. Outline.

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Resource Management

Resource Management. Chapter 12. Learning Goals. Recognize the variety of constraints that can affect a project, making scheduling and planning difficult. Understand how to apply resource-loading techniques to project schedules to identify potential resource over-allocation situations.

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EPQM - Scheduling

EPQM - Scheduling. Lecture 6. EPQM. PLC. Implementation. Introduction. Proj Logistics. Quality. Introduction Attributes PLC Roadmap. Identify needs. Proj Planning. Proj Quality. Proj Team & Organization. Scheduling. Propose solution. Proj Comm & Documentation. Controlling.

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Capacity and Working Time Determination in a Reservation System

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Monday, August 26 th Please complete the warm up ?

11.4 mm= ____________km 2. 3 cl=__________l. Monday, August 26 th Please complete the warm up ?. Homework Quiz Answers . Week at a Glance. Monday: Finish Time Conversions and Unit Rate Tuesday: Area and Perimeter with conversions Wednesday: Quiz Thursday: Review Friday:Test.

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Graph Traversals

Graph Traversals. Graph Traversals. For solving most problems on graphs Need to systematically visit all the vertices and edges of a graph Two major traversals Breadth-First Search (BFS) Depth-First Search(DFS). BFS. Starts at some source vertex s

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Main Login Page

Main Login Page. Username. Password. SUBMIT. Search. Front Desk Page Layout. Acc # | First Name | Last Name | Date | Reg Time | Asg Time | Actions |.

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The Food & Drink Innovation Network Sharing innovation best practice in the food & drink industry

The Food & Drink Innovation Network Sharing innovation best practice in the food & drink industry. How did it come about?. Jeffrey Hyman RHM & Dave Phillips General Mills Best practice club To share Innovation Best practice Food & Drink Industry.

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SALES PRESENTATION EVALUATION FORM

Name of Salesperson. Date: ___________________________ Start Time:______Finish Time:______ Total Time: ______________________. Name of Buying Firm. Type of Product/Service Proposition. SCALE. 4. 0. 1. 2. 3. 5. 6. 7. 8. 9. 10. VERY POOR. EXCELLENT.

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