Scope organization in Client

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Plot. Part I: Client/Server SystemsPart II: Introduction to Capacity PlanningPart III: A Capacity Planning Methodology for C/S EnvironmentsPart IV: Performance Prediction Models for C/S Environments. Diagram (proceeded). Part V: Advanced Predictive Models of C/S SystemsPart VI: Case StudyBibliography.

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Scope quantification in Client/Server Environments Daniel A. Menascé George Mason University Fairfax, VA 22030 USA menasce@cs.gmu.edu

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Outline Part I: Client/Server Systems Part II: Introduction to Capacity Planning Part III: A Capacity Planning Methodology for C/S Environments Part IV: Performance Prediction Models for C/S Environments

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Outline (proceeded with) Part V: Advanced Predictive Models of C/S Systems Part VI: Case Study Bibliography

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Part I: Client/Server (C/S) Systems

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Definitions and Basic Concepts Client Server Work division amongst customer and server Client/Server correspondence

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. . . switch R LAN portion 1 FDDI ring switch LAN section 2 R . . . Definitions and fundamental ideas DB server DB server

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Definitions and essential ideas: Client Workstation with representation and handling abilities. Graphical User Interface (GUI) executed at the customer. Fractional preparing executed at the customer.

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Definitions and essential ideas: Server Machine with substantially bigger preparing and I/O limit than the customer. Serves the different solicitations from the customers. Executes a critical part of the handling and I/O of the solicitations created at the customer.

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Work division amongst customer and server Client Server GUI Processing Pre & Post Process. I/O COMM. COMM. DB correspondences arrange

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Interaction amongst customer and server Remote Procedure Call (RPC) customer DB server pre-proces-sing execute_SQL(par1,par2,...) server preparing result_SQL(...) post-proces-sing

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Part II: Introduction to Capacity Planning

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Migration to C/S case: "cutting back" a claim handling application DB server associated with a few PCs through an Ethernet LAN GUI application executing at the PCs LAN associated with the undertaking centralized server through a T1 line DB server is refreshed each night.

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Migration to C/S frameworks centralized computer based framework T1 line centralized server

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Migration to C/S DB server based framework DB server LAN portal T1 line centralized server

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Migration to C/S: some vital inquiries what number customers can be upheld by the DB server while keeping up a reaction time beneath 2.5 sec? To what extent does it take to refresh the DB consistently?

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Migration to C/S illustration: estimations with a model During 30 minutes (1,800 sec): 25% CPU usage 30% circle use 800 exchanges were executed Each exchange utilized: 1,800 * 0.25/800 = 0.56 sec of CPU and 1,800 * 0.30/800 = 0.68 sec of plate.

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Good News and Bad News Good News: we know the CPU and I/O benefit time of every exchange. Awful News: exchanges at the DB server go after CPU and I/O  lines will shape at every gadget. We don't know to what extent every exchange sits tight in the line for the CPU and for the plate.

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cpu plate DB Server Model arriving exchanges withdrawing exchanges DB server

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CPU or I/O Times benefit request = 0.56 seg ? line holding up time

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Capacity Planning Definition Capacity Planning is the way toward foreseeing when the administration levels will be abused as an element of the workload advancement , and in addition the assurance of the most financially savvy method for postponing framework immersion.

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C/S Migration Example: wanted outcomes reaction time (sec) benefit level no. of customer workstations

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Part III: A Capacity Planning Methodology for Client/Server Environments

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Capacity Planning Methodology for Client Server Environments Understanding the Environment Workload Characterization Developing a Cost Model Workload Model Cost Model Performance Model Validation and Calibration Workload Forecasting Valid Model Performance Prediction Cost Prediction Cost/Performance Analysis Configuration Plan Personnel Plan Investment Plan

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Capacity Planning Methodology for Client Server Environments Understanding the Environment Workload Characterization Developing a Cost Model Workload Model Cost Model Performance Model Validation and Calibration Workload Forecasting Valid Model Performance Prediction Cost Prediction Cost/Performance Analysis Configuration Plan Personnel Plan Investment Plan

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Understanding the Environment Hardware and System Software Network Connectivity Map Network Protocols Server Configurations Types of Applications Service Level Agreements Support and Management Structure Procurement Procedures

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Example of Understanding the Environment 5,000 PCs (386 e 486) running DOS and Windows 3.1 and 800 UNIX workstations. IBM MVS centralized server. 80 LANs in 20 structures associated by a FDDI 100 Mbps spine. 50 Cisco switches. Arrange advancements: FDDI, Ethernet, T1 connections and Internet.

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Example of Understanding the Environment (proceeded with) Protocols being directed: TCP/IP and Novell IPX. Servers: 80% are 486 and Pentiums and 20% are RISC workstations running UNIX. Applications: office robotization (email, spreadsheets, wordprocessing), access to DBs (SQL servers) and asset sharing. Future applications: remotely coordinating, EDI, picture preparing.

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Capacity Planning Methodology for Client Server Environments Understanding the Environment Workload Characterization Developing a Cost Model Workload Model Cost Model Performance Model Validation and Calibration Workload Forecasting Valid Model Performance Prediction Cost Prediction Cost/Performance Analysis Configuration Plan Personnel Plan Investment Plan

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Workload Characterization Process of parceling the worldwide workload into subsets called workload parts . Cases of workload parts: DB exchanges, solicitations to a document server or, employments with comparable qualities. Workload segments are made out of fundamental segments .

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Workload Characterization: workload parts and essential segments

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Workload Characterization Basic Component Parameters Workload Intensity Parameters number of messages sent/hour number of question exchanges/sec Service Demand Parameters normal message length normal I/O time per inquiry exchange.

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Workload Characterization Methodology Identification of Workload Components Identification of Basic Components. Parameter Selection. Information Collection: benchmarks and ROTS (Rules of Thumb) might be utilized. Workload apportioning: averaging and grouping.

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Workload Characterization Data Collection Alternatives

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Benchmarks National Software Testing Laboratories (NSTL): servers and applications. Exchange Processing Council (TPC) System Performance Evaluation Cooperative (SPEC) AIM Benchmark suites

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Capacity Planning Methodology for Client Server Environments Understanding the Environment Workload Characterization Developing a Cost Model Workload Model Cost Model Performance Model Validation and Calibration Workload Forecasting Valid Model Performance Prediction Cost Prediction Cost/Performance Analysis Configuration Plan Personnel Plan Investment Plan

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Workload Model Validation

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Capacity Planning Methodology for Client Server Environments Understanding the Environment Workload Characterization Developing a Cost Model Workload Model Cost Model Performance Model Validation and Calibration Workload Forecasting Valid Model Performance Prediction Cost Prediction Cost/Performance Analysis Configuration Plan Personnel Plan Investment Plan

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Workload Forecasting Process of foreseeing the workload force. tps

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Workload Forecasting Business Units Number of business components that decide the workload development number of solicitations number of records number of representatives number of cases number of beds

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Workload Forecasting Methodology Application Selection Identification of Forecasting Business Units (FBUs) Statistics assembling on FBUs FBU estimating (utilize straight relapse, moving midpoints, exponential smoothing) and business vital arrangements.

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Linear Regression Example

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Capacity Planning Methodology for Client Server Environments Understanding the Environment Workload Characterization Developing a Cost Model Workload Model Cost Model Performance Model Validation and Calibration Workload Forecasting Valid Model Performance Prediction Cost Prediction Cost/Performance Analysis Configuration Plan Personnel Plan Investment Plan

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Performance Prediction Predictive models: investigative or recreation based. Explanatory models depend on Queuing Networks (QNs) effective take into account the quick examination of countless perfect for scope organization

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Performance Prediction considers that effect execution Client stations Servers Communication media Protocols Interconnection gadgets (extensions, switches and portals)

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Performance Prediction Model Accuracy

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. . . switch R LAN Segment 1 FDDI ring switch LAN portion 2 R . . . Execution Prediction An Example

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Performance Prediction QN for Example

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Performance Prediction Response Times for the Example Response Time (sec) Number of customers

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Capacity Planning Methodology for Client Server Environments Understanding the Environment Workload Characterization Developing a Cost Model Workload Model Cost Model Performance Model Validation and Calibration Workload Forecasting Valid Model Performance Prediction Cost Prediction Cost/Performance Analysis Configuration Plan Personnel Plan Investment Plan

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Performance Model Validation

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Capacity Planning Methodology for Client Server Environments Understanding the Environment Workload Characterization Developing a Cost Model Workload Model Cost Model Performance Model Validation and Calibration Workload Fo

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