The Experts below are selected from a list of 288 Experts worldwide ranked by ideXlab platform
Andrey Kolesnikov - One of the best experts on this subject based on the ideXlab platform.
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Architecture of the Unified Load Generator
Load Modelling and Generation in IP-based Networks, 2017Co-Authors: Andrey KolesnikovAbstract:In this chapter we describe the architecture of the UniLoG workLoad Generator which has been designed according to the unified Load generation approach presented in Sec. 2.3. The basic principle underlying the design and elaboration of the UniLoG architecture is to start with an abstract workLoad model which is described by means of a corresponding User Behavior Automaton as introduced in Chapter 3. The execution of the UBA in the modelling domain results in a sequence of initially abstract requests which are generated according to the specifications in the UBA.
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Distributed UniLoG Architecture
Load Modelling and Generation in IP-based Networks, 2017Co-Authors: Andrey KolesnikovAbstract:In this chapter we first motivate the development of systems for distributed Load generation and identify the typical expectations / requirements of the experimenter from such systems. Further, we present the design of the system for distributed Load generation based on the architecture of the UniLoG Load Generator presented in Chapter 5 and describe the key details of its implementation.
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MMB/DFT - UniLoG: a unified Load generation tool
Lecture Notes in Computer Science, 2012Co-Authors: Andrey KolesnikovAbstract:Utilities for generating artificial (synthetic) Loads are very important for analyses of performance and behavior of networks and their offered services. Load Generators implemented by the industry are mainly dedicated hardware components with very high performance and stringent precision requirements. In research and academia, mainly software based Load Generators are commonly used because of the expected higher flexibility in operation and maintenance (e.g. due to easy deployment of constituent Load generating modules in the network, code customizations for a specific research purpose, etc.) while components of real operating systems and protocol stacks can be used to guarantee realistic Load generation at lower costs. However, many existing tools are dedicated to a specific modeling study (e.g., Guernica [1] along with its specific Dweb model for Web traffic, or Harpoon [2] modeling IP traffic flows) or are focusing on generating traffic at some specific interface in a network (e.g., ITG [3] or Brute [4] were designed to generate traffic on UDP and TCP service interfaces). The proposed solutions quite often do not provide an adequate flexibility, e.g. in case the underlying model is to be modified or a completely new model is to be used. Therefore, the unified Load Generator UniLoG is presented in this paper, which combines the specification and generation of network Loads in one single coherent approach. The basic principle underlying the design and elaboration of UniLoG is to start with a formal description of an abstract Load model by means of a finite user behavior automaton (UBA, introduced in Sec. 2) and thereafter to use interface-specific adapters to map the abstract requests to the concrete requests as they are "understood" by the service providing component at the real interface in question. An overview of the distributed UniLoG architecture is given in Sec. 3 and a concrete example of its practical use in QoS studies for video streaming is demonstrated in Sec. 4.
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KiVS - Web WorkLoad Generation According to the UniLoG Approach.
2011Co-Authors: Andrey Kolesnikov, Bernd E. WolfingerAbstract:Generating synthetic Loads which are suffciently close to reality represents an important and challenging task in performance and quality-of-service (QoS) evaluations of computer networks and distributed systems. Here, the Load to be generated represents sequences of requests at a well-defined service interface within a network node. The paper presents a tool (UniLoG.HTTP) which can be used in a flexible manner to generate realistic and representative server and network Loads, in terms of access requests to Web servers as well as creation of typical Web traffic within a communication network. The paper describes the architecture of this Load Generator, the critical design decisions and solution approaches which allowed us to obtain the desired flexibility.
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MMB/DFT - Load modeling and generation for IP-Based networks: a unified approach and tool support
Lecture Notes in Computer Science, 2010Co-Authors: Andrey Kolesnikov, Martin KulasAbstract:This paper presents a unified approach to Load generation in IP-based networks supported by a Unified Load Generator UniLoG which incorporates a formal automata-based Load specification technique. The Load specification technique is applied to two exemplarily chosen models for VoIP and MPEG-coded video traffic sources in order to use them for Load generation in UniLoG. The performance characteristics of UniLoG modules, which are responsible for the injection of real traffic Loads at different interfaces in IP networks, are discussed and the practical use of UniLoG is demonstrated in the context of a comprehensive QoS study of video streaming via an IEEE 802.11g WLAN under various background Loads.
Muhammad Mujaddid Ighna Wathon - One of the best experts on this subject based on the ideXlab platform.
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Analisis Unjuk Kerja Boiler Feed Pump Turbine Untuk Kapasitas Ketel Uap 2000 Ton/Jam Di PLTU Cirebon Jawa Barat
2016Co-Authors: Sukamta Sukamta, Sudarja Sudarja, Muhammad Mujaddid Ighna WathonAbstract:Boiler feed pump turbine (BFPT) has an important role in the circulating of demin water from deaerator to the separator of steam power plant operations (PLTU) in Cirebon. Flow rate, temperature and pressure were important parameters in boiler feed pump process. Based on the BFPT function, it was necessary to do the analysis interpretation of the performance BFPT. Data needed for evaluation include pressure and temperature on the suction, pressure and temperature on the discharge, and flow capacity. In this study, the data were taken starting in January to December 2014. Data processing was performed using a centrifugal pump calculations, presented in tables and graphs using MS Excel. Analysis of data using qualitative interpretation of quantitative data. BFPT efficiency during operations in 2014 decreased in February - March amounted to 17.91% (BFPT A) and 18.04% (BFPT B). BFPT A highest efficiency obtained in January amounted to 73.76%, the lowest in March amounted to 55.45%. The highest efficiency BFPT B in February amounted to 72.94%, the lowest in March amounted to 54.9%. Change of Performance BFPT occur due to changes Load Generator power plant that led to the pressure change and flow capacity. Other factors that degrade the performance because BFPT was operated continuously for 24 hours and the age of BFPT sufficient old cause decrease in pump performance.
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analisis unjuk kerja boiler feed pump turbine untuk kapasitas ketel uap 2000 ton jam di pltu cirebon jawa barat
Semesta Teknika, 2016Co-Authors: Sukamta Sukamta, Sudarja Sudarja, Muhammad Mujaddid Ighna WathonAbstract:Boiler feed pump turbine (BFPT) has an important role in the circulating of demin water from deaerator to the separator of steam power plant operations (PLTU) in Cirebon. Flow rate, temperature and pressure were important parameters in boiler feed pump process. Based on the BFPT function, it was necessary to do the analysis interpretation of the performance BFPT. Data needed for evaluation include pressure and temperature on the suction, pressure and temperature on the discharge, and flow capacity. In this study, the data were taken starting in January to December 2014. Data processing was performed using a centrifugal pump calculations, presented in tables and graphs using MS Excel. Analysis of data using qualitative interpretation of quantitative data. BFPT efficiency during operations in 2014 decreased in February - March amounted to 17.91% (BFPT A) and 18.04% (BFPT B). BFPT A highest efficiency obtained in January amounted to 73.76%, the lowest in March amounted to 55.45%. The highest efficiency BFPT B in February amounted to 72.94%, the lowest in March amounted to 54.9%. Change of Performance BFPT occur due to changes Load Generator power plant that led to the pressure change and flow capacity. Other factors that degrade the performance because BFPT was operated continuously for 24 hours and the age of BFPT sufficient old cause decrease in pump performance.
Varsha Apte - One of the best experts on this subject based on the ideXlab platform.
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ICPE - AutoPerf: Automated Load Testing and Resource Usage Profiling of Multi-Tier Internet Applications
Proceedings of the 8th ACM SPEC on International Conference on Performance Engineering, 2017Co-Authors: Varsha Apte, T.v.s. Viswanath, Devidas Gawali, Akhilesh Kommireddy, Anshul GuptaAbstract:A multi-tier Internet server application needs to be analyzed for its performance before it is released. Performance analysis is usually done by (a) Load testing of the application on a testbed and (b) building a performance model of the application. While there are a plethora of Web Load-Generator tools available, there are two problems with these tools: one, the tests have to be configured manually, which can lead to a time-consuming trial-and-error process until the desired performance charts in the appropriate Load ranges are obtained; and two, the Load Generator tools do not produce output that is directly useful for creating a performance model of the application. In this paper, we present AutoPerf, a Load Generator tool designed to meet two distinct goals, named capacity analysis and profiling. The goal of capacity analysis is to run a comprehensive Load test on a Web application, in an appropriately chosen range, at a minimal number of Load levels, while still producing an accurate graph of throughput and response time vs Load levels. The goal of profiling is to generate a detailed server resource usage profile per request type, without instrumenting the application code. This data (e.g. CPU execution time by Web server for one request) is crucial for parameterizing performance models of the application. AutoPerf intelligently plans and configures its Load tests by using analytical results from queuing theory along with some heuristics. Results show that AutoPerf is able to run performance tests very efficiently while still producing an accurate chart of performance metrics.
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WWW - AutoPerf: an automated Load Generator and performance measurement tool for multi-tier software systems
Proceedings of the 16th international conference on World Wide Web - WWW '07, 2007Co-Authors: Shrirang Sudhir Shirodkar, Varsha ApteAbstract:We present a Load Generator and performance measurement tool AutoPerf which requires minimal input and configuration from the user, and produces a comprehensive capacity analysis as well as server-side resource usage profile of a Web-based distributed system, in an automated fashion. The tool requires only the workLoad and deployment description of the distributed system, and automatically sets typical parameters that Load Generator programs need, such as maximum number of users to be emulated, number of users for each experiment, warm-up time, etc. The tool also does all the co-ordination required to generate a critical type of measure, namely, resource usage per transaction or per user for each software server. This is a necessary input for creating a performance model of a software system.
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AutoPerf: AnAutomatedLoadGeneratorandPerformance MeasurementToolforMulti-tierSoftwareSystems
2007Co-Authors: Shrirang Sudhir Shirodkar, Varsha ApteAbstract:We present a Load Generator and performance measurement tool (AutoPerf ) which requires minimal input and configuration from the user, and produces a comprehensive capacity analysis as well as server-side resource usage profile of a Web-based distributed system, in an automated fashion. The tool requires only the workLoad and deployment description of the distributed system, and automatically sets typical parameters that Load Generator programs need, such as maximum number of users to be emulated, number of users for each experiment, warm-up time, etc. The tool also does all the co-ordination required to generate a critical type of measure, namely, resource usage per transaction or per user for each software server. This is a necessary input for creating a performance model of a software system.
Martin Kulas - One of the best experts on this subject based on the ideXlab platform.
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MMB/DFT - Load modeling and generation for IP-Based networks: a unified approach and tool support
Lecture Notes in Computer Science, 2010Co-Authors: Andrey Kolesnikov, Martin KulasAbstract:This paper presents a unified approach to Load generation in IP-based networks supported by a Unified Load Generator UniLoG which incorporates a formal automata-based Load specification technique. The Load specification technique is applied to two exemplarily chosen models for VoIP and MPEG-coded video traffic sources in order to use them for Load generation in UniLoG. The performance characteristics of UniLoG modules, which are responsible for the injection of real traffic Loads at different interfaces in IP networks, are discussed and the practical use of UniLoG is demonstrated in the context of a comprehensive QoS study of video streaming via an IEEE 802.11g WLAN under various background Loads.
Sukamta Sukamta - One of the best experts on this subject based on the ideXlab platform.
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Analisis Unjuk Kerja Boiler Feed Pump Turbine Untuk Kapasitas Ketel Uap 2000 Ton/Jam Di PLTU Cirebon Jawa Barat
2016Co-Authors: Sukamta Sukamta, Sudarja Sudarja, Muhammad Mujaddid Ighna WathonAbstract:Boiler feed pump turbine (BFPT) has an important role in the circulating of demin water from deaerator to the separator of steam power plant operations (PLTU) in Cirebon. Flow rate, temperature and pressure were important parameters in boiler feed pump process. Based on the BFPT function, it was necessary to do the analysis interpretation of the performance BFPT. Data needed for evaluation include pressure and temperature on the suction, pressure and temperature on the discharge, and flow capacity. In this study, the data were taken starting in January to December 2014. Data processing was performed using a centrifugal pump calculations, presented in tables and graphs using MS Excel. Analysis of data using qualitative interpretation of quantitative data. BFPT efficiency during operations in 2014 decreased in February - March amounted to 17.91% (BFPT A) and 18.04% (BFPT B). BFPT A highest efficiency obtained in January amounted to 73.76%, the lowest in March amounted to 55.45%. The highest efficiency BFPT B in February amounted to 72.94%, the lowest in March amounted to 54.9%. Change of Performance BFPT occur due to changes Load Generator power plant that led to the pressure change and flow capacity. Other factors that degrade the performance because BFPT was operated continuously for 24 hours and the age of BFPT sufficient old cause decrease in pump performance.
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analisis unjuk kerja boiler feed pump turbine untuk kapasitas ketel uap 2000 ton jam di pltu cirebon jawa barat
Semesta Teknika, 2016Co-Authors: Sukamta Sukamta, Sudarja Sudarja, Muhammad Mujaddid Ighna WathonAbstract:Boiler feed pump turbine (BFPT) has an important role in the circulating of demin water from deaerator to the separator of steam power plant operations (PLTU) in Cirebon. Flow rate, temperature and pressure were important parameters in boiler feed pump process. Based on the BFPT function, it was necessary to do the analysis interpretation of the performance BFPT. Data needed for evaluation include pressure and temperature on the suction, pressure and temperature on the discharge, and flow capacity. In this study, the data were taken starting in January to December 2014. Data processing was performed using a centrifugal pump calculations, presented in tables and graphs using MS Excel. Analysis of data using qualitative interpretation of quantitative data. BFPT efficiency during operations in 2014 decreased in February - March amounted to 17.91% (BFPT A) and 18.04% (BFPT B). BFPT A highest efficiency obtained in January amounted to 73.76%, the lowest in March amounted to 55.45%. The highest efficiency BFPT B in February amounted to 72.94%, the lowest in March amounted to 54.9%. Change of Performance BFPT occur due to changes Load Generator power plant that led to the pressure change and flow capacity. Other factors that degrade the performance because BFPT was operated continuously for 24 hours and the age of BFPT sufficient old cause decrease in pump performance.