'Finish time' presentation slideshows

Chapter 7 Project Management. © 2007 Pearson Education. Project Management. Used to manage large complex projects Has three phases: Project planning Project scheduling Project controlling. Phase 1: Project Planning. What is the project goal or objective?

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.

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.

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.

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.

Slides by. . . . . . . . . . . . . John Loucks St. Edward’s Univ. Chapter 13 Project Scheduling: PERT/CPM. Project Scheduling Based on Expected Activity Times Project Scheduling Considering Uncertain Activity Times Considering Time-Cost Trade-Offs. PERT/CPM.

Chapter 3 Project Management . Parts of this presentation is extracted from Ian Sommerville’s slides located at http://www.pearsoned.co.uk/sommerville Sommerville SE 8: Chapter 5, Chapter 26. Getting to know you. Who would like to tell us about herself? . Objectives.

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.

ANADOLU ÜNİVERSİTESİ Endüstri Mühendisliği Seminerleri, 12.10.2012. Capacity and Working Time Determination in a Reservation System. Deniz Türsel Eliiyi , Assoc. Prof. Dr. Izmir University of Economics, Department of Industrial Systems Engineering

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

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

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

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?.

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.

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

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?.

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.

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.

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.

Fair Queuing for Aggregated Multiple Links. Josep M. Blanquer and Banu Özden Proceedings of the ACM SIGCOMM , August 2001. ABSTRACT. Fair Queuing algorithms Proportionally sharing a single server among competing flows Do not address the problem of sharing multiple servers .