'Inter arrival time' diaporamas de présentation

Queuing Theory

Queuing Theory. Queuing Theory. Queuing theory is the mathematics of waiting lines. It is extremely useful in predicting and evaluating system performance.

740 views • 72 slides

CS433: Modeling and Simulation

792 views • 54 slides

Introduction to Queueing Theory

Introduction to Queueing Theory. Raj Jain Washington University in Saint Louis Saint Louis, MO 63130 Jain@cse.wustl.edu Audio/Video recordings of this lecture are available at: http://www.cse.wustl.edu/~jain/cse567-13/. Overview. Queueing Notation Rules for All Queues Little's Law

743 views • 49 slides

Definition

CDA6530: Performance Models of Computers and Networks Chapter 3: Review of Practical Stochastic Processes. Definition. Stochastic process X = {X(t), t 2 T} is a collection of random variables (rvs); one rv for each X(t) for each t 2 T Index set T --- set of possible values of t

534 views • 38 slides

Powerpoint Templates

Autonomic Mix-Aware Provisioning on Amazon EC2 Tony Schneider, Derek Bender, Andrew Hahn Based on R. Singh et. al [1]. Powerpoint Templates. Powerpoint Templates. Introduction. Our Goals Background Implementation Results Future Work. Powerpoint Templates.

864 views • 38 slides

Large-Scale and Cost-Effective Video Services

Large-Scale and Cost-Effective Video Services. CS587x Lecture Department of Computer Science Iowa State University. Contents. On-demand Multicast Periodic Broadcast Application-Layer Multicast Peer-to-Peer Video Services. What to Cover Today. On-demand Multicast Patching

482 views • 38 slides

Definition

CDA6530: Performance Models of Computers and Networks Chapter 3: Review of Practical Stochastic Processes. Definition. Stochastic process X = {X(t), t 2 T} is a collection of random variables (rvs); one rv for each X(t) for each t 2 T Index set T --- set of possible values of t

382 views • 38 slides

Chee Shin Yeo and Rajkumar Buyya

Service Level Agreement based Allocation of Cluster Resources: Handling Penalty to Enhance Utility. Chee Shin Yeo and Rajkumar Buyya.

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Outline

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M/G/1

M/G/1. Cheng-Fu Chou. Residual Life. Inter-arrival time of bus is exponential w/ rate l while hippie arrives at an arbitrary instant in time Question: How long must the hippie wait, on the average , till the bus comes along?

474 views • 30 slides

MGTSC 352

MGTSC 352. Lecture 22: Finish Inventory Management Start Queueing. Announcements. HW 9 is available Due a week from Tuesday (Dec. 7) Quiz 3 a week from Friday (Dec. 3). Pg. 153. More on EOQ: Economies of Scale.

431 views • 29 slides

Characterizing Flows in Large Wireless Data Networks

Characterizing Flows in Large Wireless Data Networks. Xiaoqiao (George) Meng, UCLA H.Y. Starsky Wong, UCLA Yuan Yuan, UMD Songwu Lu, UCLA. Objectives of Study. To quantitatively characterize data flows in wireless networks To help understand application behavior in wireless networks.

343 views • 25 slides

Wireless and VOIP at a remote Orphanage in Honduras

387 views • 24 slides

GrenchMark:

GrenchMark:. Synthetic workloads for Grids. A. Iosup, D.H.J. Epema. PDS Group, ST/EWI, TU Delft. First Demo at TU Delft. Evaluating Grid schedulers performance. Grid schedulers performance Qualitative metrics supported application types, advanced fault tolerance, advanced ...

314 views • 23 slides

You Are How You Click

224 views • 22 slides

Clickstream Models & Sybil Detection

Clickstream Models & Sybil Detection. Gang Wang ( ?? ) UC Santa Barbara gangw@cs.ucsb.edu. Modeling User Clickstream Events. User-generated events E.g. profile load, link follow, photo browse, friend invite Assume we have event type, userID , timestamp

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EMIS 7370

265 views • 14 slides

Clickstream Models & Sybil Detection

Clickstream Models & Sybil Detection. Gang Wang ( ?? ) UC Santa Barbara gangw@cs.ucsb.edu. Modeling User Clickstream Events. User-generated events E.g. profile load, link follow, photo browse, friend invite Assume we have event type, userID , timestamp

227 views • 14 slides

Producer and Consumer Problem - An QoS Guaranteed Queuing System with an Adaptive Server Design

Producer and Consumer Problem - An QoS Guaranteed Queuing System with an Adaptive Server Design. 2007/05/23. Producer / Consumer Problem. Bounded Buffer: message queue size 30 Producer (Client) Randomly produce 1 to 10 producers with randomly selected period from 100 to 500 ticks.

216 views • 9 slides

Problem 1. M/M/1 Performance Evaluation

Problem 1. M/M/1 Performance Evaluation. Example: The arrival rate to a GAP store is 6 customers per hour and has Poisson distribution. The service time is 5 min per customer and has Exponential distribution. On average how many customers are in the waiting line.

139 views • 5 slides