Assignment Three (10%) Due Date: 22 April 2022, 23:59 PM [Week 14] 1. This assignment contains four questions. You are required to submit a complete C++ program (.cpp only) for each question on PASS before the deadline. 2. You can submit as many times as you want before the deadline. We will grade your latest […]
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ABSTRACT Optimal Power Allocation in Server Farms Anshul Gandhi Carnegie Mellon University Pittsburgh, PA, USA anshulg@cs.cmu.edu Rajarshi Das IBM Research Hawthorne, NY, USA rajarshi@us.ibm.com Mor Harchol-Balter∗ Carnegie Mellon University Pittsburgh, PA, USA harchol@cs.cmu.edu Charles Lefurgy IBM Research Austin, TX, USA lefurgy@us.ibm.com improve server farm performance, by a factor of typically 1.4 and as much as
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COMP9334 Capacity Planning for Computer Systems and Networks Week 7B: Mean Value Analysis COMP9334 1 This lecture • Methods to efficiently analyse a closed queueing network • Motivation • Youhavelearnthowtoanalyseaclosedqueueingnetworkin Week 3B using Markov chain • However,themethodcanonlybeusedforasmallnumberofusers • This week we will study a method that can be used for a large number of users
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COMP9334 Revision Questions for Week 7B Question 1 Measurements were conducted on an interactive computer system and the following results were obtained: Length of measurement interval: Number of completed requests: Utilisation of CPU: Utilisation of Disk 1: Utilisation of Disk 2: Utilisation of Disk 3: Think time: 1 hour 36,000 75% 50% 50% 25% 7s
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Lecture outline • Capacity planning • Why? • What? • Quality of service metrics • Quantitative performance analysisçèCapacity Planning • What techniques you will learn • More quality of service metrics • Single server queues T1, 2021 COMP9334 10 Why capacity planning? T1, 2021 COMP9334 11 Why capacity planning? • The aim of capacity planning
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How to determine a good multi-programming level for external scheduling Bianca Schroeder§ Mor Harchol-Balter§∗ §Carnegie Mellon University Department of Computer Science Pittsburgh, PA USA @cs.cmu.edu Abstract Scheduling/prioritization of DBMS transactions is im- portant for many applications that rely on database back- ends. A convenient way to achieve scheduling is to limit the number of transactions
COMP9334 Capacity Planning for Computer Systems and Networks Week 3B: Markov Chain COMP9334 1 Last lecture: Queues with Poisson arrivals • Single-server Arrivals Departures • Multi-server Arrivals 1 Departures 2 m m servers T1,2021 COMP9334 2 This week: Markov Chain • You can use Markov Chain to analyse • Closedqueueingnetwork(seeexamplebelow) • Reliabilityproblem CPU • There
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COMP9334 Capacity Planning for Computer Systems and Networks Week 8A: Web services and fork-join queues COMP9334 1 This lecture • Web services • Whatisit? • Performanceanalysis • Fork-join queue • Markovchain • MVA T1,2021 COMP9334 2 Web access versus Web services (a) Web access (b) Composite web service for travel T1,2021 COMP9334 3 Web service
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COMP9334: Capacity Planning of Computer Systems and Networks Week 9A: Optimisation (2): Integer programming COMP9334, Chun Tung Chou, 2021 Optimisation What have we covered so far? Formulation of linear programming (LP) problems Using AMPL to solve LP problems This lecture Different types of LP problems Formulation of integer programming (IP) problems Using AMPL to solve
COMP9334 Capacity Planning for Computer Systems and Networks Week 5B_2: Discrete event simulation (4): Generating random numbers COMP9334 1 This lecture • Discrete event simulation • Week4B:Howtostructurethesimulation • Weeks5A,5B_1:Statisticalanalysis • This lecture • Backgroundonrandomnumbersandhowtheyaregenerated • Howtogeneraterandomnumbersofanyprobabilitydistribution • Reproducibility • Motivation • ThePythonrandomlibrarycangeneraterandomnumbersfrom many probability distributions but sometimes you may need a distribution that the library
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