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Workload generation for YouTube
- Multimedia Tools and Applications
, 2010
"... Abstract This paper introduces a workload characterization study of the most popular short video sharing service of Web 2.0, YouTube. Based on a vast amount of data gathered in a five-month period, we analyzed characteristics of around 250,000 YouTube popular and regular videos. In particular, we co ..."
Abstract
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Cited by 8 (0 self)
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collected lists of related videos for each video clip recursively and analyzed their statistical behavior. Understanding YouTube traffic and similar Web 2.0 video sharing sites is crucial to develop synthetic workload generators. Workload simulators are required for evaluating the methods addressing
Generating Representative Web Workloads for Network and Server Performance Evaluation
, 1997
"... One role for workload generation is as a means for understanding how servers and networks respond to variation in load. This enables management and capacity planning based on current and projected usage. This paper applies a number of observations of Web server usage to create a realistic Web worklo ..."
Abstract
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Cited by 944 (11 self)
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One role for workload generation is as a means for understanding how servers and networks respond to variation in load. This enables management and capacity planning based on current and projected usage. This paper applies a number of observations of Web server usage to create a realistic Web
Workload generation by modeling user behavior
- In "Proceedings OPNETWORKS 2000
, 2000
"... In this paper, a user-behavior oriented workload generator for OPNET is presented. In this novel approach, both packet generation and user interaction with applications and services that cause the network traffic are modeled. This way, the analyst can model traffic and construct a workload at a high ..."
Abstract
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Cited by 4 (2 self)
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In this paper, a user-behavior oriented workload generator for OPNET is presented. In this novel approach, both packet generation and user interaction with applications and services that cause the network traffic are modeled. This way, the analyst can model traffic and construct a workload at a
A framework for malicious workload generation.
- In Proceedings of the 4th ACM SIGCOMM conference on Internet measurement, IMC ’04,
, 2004
"... ABSTRACT Malicious traffic from self-propagating worms and denialof-service attacks constantly threatens the everyday operation of Internet systems. Defending networks from these threats demands appropriate tools to conduct comprehensive vulnerability assessments of networked systems. This paper de ..."
Abstract
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Cited by 27 (3 self)
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in an extensible library for attack traffic specification and generation. To demonstrate the capability of MACE, we provide an analysis of stress tests conducted on a popular firewall and two popular network intrusion detection systems. Our results expose potential weaknesses of these systems and reveal
A WORKLOAD GENERATOR FOR DATABASE SYSTEM BENCHMARKS
"... There are cases in which database system benchmarks should be executed in a realistic environment to get meaningful performance results. We propose a workload generator that helps benchmarks be executed in an environment similar to the real world in terms of resource status. The workload generator c ..."
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Cited by 1 (1 self)
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There are cases in which database system benchmarks should be executed in a realistic environment to get meaningful performance results. We propose a workload generator that helps benchmarks be executed in an environment similar to the real world in terms of resource status. The workload generator
SDLoad: An Extensible Framework for SDN Workload Generation
"... We propose a unified approach for workload generation to ease evaluation and comparison of SDN control-plane pro-posals. Our approach is based on SDLoad, an extensible framework capable of generating custom workloads satisfy-ing input constraints, along user-defined evaluation axes. ..."
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We propose a unified approach for workload generation to ease evaluation and comparison of SDN control-plane pro-posals. Our approach is based on SDLoad, an extensible framework capable of generating custom workloads satisfy-ing input constraints, along user-defined evaluation axes.
Workload Generation by Modelling User Behavior in an ISP Subnet
, 2001
"... In this paper the user-oriented BISANTE workload generator for network traffic simulation is presented. It enables the analyst to model both the behavior of network users interacting with applications or services and the network traffic at the packet level itself. This way, workload at different lev ..."
Abstract
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Cited by 1 (0 self)
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In this paper the user-oriented BISANTE workload generator for network traffic simulation is presented. It enables the analyst to model both the behavior of network users interacting with applications or services and the network traffic at the packet level itself. This way, workload at different
Workload Generation and Instrumentation for Reproducible Networking Experiments
"... Abstract—We propose the design of a benchmarking and instrumentation component for the GENI experimental networking testbed. Our design uses a workload generation system to create reproducible network conditions and an instrumentation component to collect measurement data. We discuss the research ch ..."
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Abstract—We propose the design of a benchmarking and instrumentation component for the GENI experimental networking testbed. Our design uses a workload generation system to create reproducible network conditions and an instrumentation component to collect measurement data. We discuss the research
Workload Generation for Trace Based Grid Simulations
"... Testing Grid models and their resource management components is a critical part of efficient Grid development. There are two ways to experimentally assess the performance of Grid models: benchmarking and using synthetic grid workloads. Workload generation for Grids has become more problematic than f ..."
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Testing Grid models and their resource management components is a critical part of efficient Grid development. There are two ways to experimentally assess the performance of Grid models: benchmarking and using synthetic grid workloads. Workload generation for Grids has become more problematic than
Results 1 - 10
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1,985
