Synthetic Workload Generation for Cloud Computing Applications

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Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124
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"Synthetic Workload Generation for Cloud Computing Applications"
written by Arshdeep Bahga, Vijay Krishna Madisetti,
published by Journal of Software Engineering and Applications, Vol.4 No.7, 2011

has been cited by the following article(s):

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[1]	SLAMMP Framework for Cloud Resource Management and Its Impact on Healthcare Computational Techniques
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[2]	IoT Workload Emulation for Data Centers
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[3]	Proactive planning of bandwidth resource using simulation-based what-if predictions for Web services in the cloud
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[4]	Analyzing Performance Parameters for Cloud Service Selection usingAHP
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[5]	Generic SDE and GA-based workload modeling for cloud systems
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[6]	Viability of Azure IoT Hub for Processing High Velocity Large Scale IoT Data
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[7]	Towards Defining Models of Hardware Capacity and Software Performance for Telecommunication Applications
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[8]	Design support for performance-and cost-efficient (re) distribution of cloud applications
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[9]	An open source approach to the design and implementation of Digital Twins for Smart Manufacturing
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[10]	An" On The Fly" Framework for Efficiently Generating Synthetic Big Data Sets
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[11]	Customer-driven cost-performance comparison of a real-world distributed system
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[12]	Prospective: A Data-Driven Technique to Predict Web Service Response Time Percentiles
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[13]	Lifecycle Data Management Prototype
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[14]	Influence of the trace resolution and length in the cost optimization process in cloud computing
	2019

[15]	An “On The Fly” Framework for Efficiently Generating Synthetic Big Data Sets
	2019

[16]	The Learning Analytics Architectural Lifecy
	2018

[17]	Workload Generators for Web-Based Systems: Characteristics, Current Status, and Challenges
	2018

[18]	Systematic performance evaluation using component-in-the-loop approach
	International Journal of Cloud Computing, 2018

[19]	Robust Dynamic CPU Resource Provisioning in Virtualized Servers
	2018

[20]	Log2Sim: Automating What-if Modeling and Prediction for Bandwidth Management of Cloud Hosted Web Services
	2018

[21]	Semantic-Aware Online Workload Characterization and Consolidation
	2018

[22]	A Digital Twin-based Privacy Enhancement Mechanism for the Automotive Industry
	2018

[23]	Replication in loosely coupled systems; simulation and evaluation of replication strategies for their use in loosely coupled IT systems
	2018

[24]	Conception d'outils de génération de charge de trafic dans des environnements de communication virtualisés
	2018

[25]	Resource Demand Forecasting Approach Based on Generic Cloud Workload Model
	2018

[26]	What-If Model Construction and Validation of Web Systems Based on Log Mining
	2017

[27]	Workload Characterization: Survey of Current Approaches and Research Challenges
	ICCCT-2017 Proceedings of the 7th International Conference on Computer and Communication Technology, 2017

[28]	Resource Demand Forecasting Model Based on Dynamic Cloud Workload
	2017

[29]	Cloud based development for medical pharmacy and DCA application
	2017

[30]	The Daily Crash: A Reflection on Continuous Performance Testing
	2016

[31]	Improved Virtual Machine (VM) based Resource Provisioning in Cloud Computing
	2016

[32]	THIS REPORT IS SUBMITTED IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE AWARD OF THE DEGREE OF BACHELOR OF SCIENCE OF …
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[33]	Workload Prediction in Cloud Datacenters Based on User Behavior Modeling
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[34]	The Role of a Reference Synthetic Data Generator within the Field of Learning Analytics.
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[35]	A multi-tenant hierarchical modeling for cloud computing workload
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[36]	Monitoring the Performance of Cloud Workload Through JConsole
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[37]	Consolidation of Performance and Workload Models in Evolving Cloud Application Topologies
	2016

[38]	REAL WORKLOAD CHARACTERIZATION AND SYNTHETIC WORKLOAD GENERATION
	International Journal of Research in Engineering and Technology, 2016

[39]	Behavior pattern analysis for resource utilization in cloud computing
	2016

[40]	Consolidation of Performance and Workload Models in Evolving Cloud Application Topologies.
	2016

[41]	THIS REPORT IS SUBMITTED IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE AWARD OF THE DEGREE OF BACHELOR OF SCIENCE OF …
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[42]	Capacity Planning in Virtualised Environments Using Model Driven Engineering
	2015

[43]	Distance based root cause analysis and change impact analysis of performance regressions
	Mathematical Problems in Engineering, 2015

[44]	SYNTHETIC WORKLOAD GENERATION IN CLOUD
	International Journal of Research in Engineering and Technology, 2015

[45]	A CLOUD-ASSISTED ELECTRONIC HEALTH RECORDS (EHRs) ANONYMIZED USING TWO-PHASE TOP-DOWN SPECIALIZATION
	International Journal of Computer Application and Engineering Technology, 2015

[46]	On Characteristics and Generation of Multi-Attribute Resources and Range Queries
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[47]	Vers une détection à la source des activités malveillantes dans les clouds publics: application aux attaques de déni de service
	Thesis, 2015

[48]	Design Support for Performance Aware Dynamic Application (Re-) Distribution in the Cloud.
	2015

[49]	Placement and Monitoring of Orchestrated Cloud Services
	Thesis, 2015

[50]	Informed CQRS design with continuous performance testing
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[51]	Design Support for Performance-aware Cloud Application (Re-) Distribution
	2014

[52]	Resource Requirement Analysis for Web Applications Running in a Virtualised Environment
	Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on, 2014

[53]	LTF: A Model-Based Load Testing Framework for Web Applications
	Quality Software (QSIC), 2014 14th International Conference on. IEEE, 2014

[54]	Cloud Computing Workload and Capacity Management Using Domain Specific Modelling
	RP Mohamad, DS Kolovos, RF Paige - www-users.cs.york.ac.uk, 2014

[55]	Towards Dynamic Application Distribution Support for Performance Optimization in the Cloud
	Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on, 2014

[56]	CLOUD-BASED DEVELOPMENT OF SMART AND CONNECTED DATA IN HEALTHCARE APPLICATION
	2014

[57]	Design Support for Performance Aware Dynamic Application (Re-) Distribution in the Cloud
	2014

[58]	Automated Model-based Performance Testing for PaaS Cloud Services
	Computer Software and Applications Conference Workshops (COMPSACW), 2014 IEEE 38th International. IEEE,, 2014

[59]	Analysis, Modeling and Simulation of Workload Patterns in a Large-Scale Utility Cloud
	NULL 2014

[60]	Intelligent Block Level I/O workload characterization for a temporal and spatial locality aware workload generator
	Doctoral dissertation, UNIVERSITY OF MINNESOTA, 2014

[61]	Performance-aware Application Distribution in the Cloud
	2014

[62]	Performance-aware Application Distribution in the Cloud.
	GI-Jahrestagung, 2014

[63]	Characterizing and exploiting heterogeneity for enhancing energy-efficiency of cloud datacenters
	2014

[64]	Cloud Computing Trace Characterization and Synthetic Workload Generation
	NULL 2013

[65]	Prototyping of Multitier Cloud-Based Services and Systems
	A Bahga, VK Madisetti - pascal.computer.org, 2013

[66]	MSDoT—Memory size and depth of tier based queuing model for scheduling a multi-tier cloud
	Emerging Trends and Applications in Computer Science (ICETACS), 2013 1st International Conference on. IEEE, 2013

[67]	Rapid Prototyping of Multitier Cloud-Based Services and Systems
	Computer, 2013

[68]	Performance evaluation approach for multi-tier cloud applications
	Journal of Software Engineering and Applications, 2013

[69]	An approach for characterizing workloads in google cloud to derive realistic resource utilization models
	Service Oriented System Engineering (SOSE), 2013 IEEE 7th International Symposium on. IEEE, 2013

[70]	A Cloud-based Approach for Interoperable Electronic Health Records (EHRs)
	Biomedical and Health Informatics, IEEE Journal, 2013

[71]	Rapid Prototyping of Advanced Cloud-Based Systems
	Computer, 2013

[72]	FlexLoadGenerator-Um Framework para Apoiar o Desenvolvimento de Ferramentas Voltadas a Estudos de Avaliação de Desempenho e Dependabilidade
	2013

[73]	Differential time-shared virtual machine multiplexing for handling QoS variation in clouds
	Proceedings of the 1st ACM multimedia international workshop on Cloud-based multimedia applications and services for e-health. ACM, 2012

[74]	Hybrid resource provisioning for clouds
	Journal of Physics: Conference Series, 2012

[75]	Enhancing collaborative peer-to-peer systems using resource aggregation and caching: A multi-attribute resource and query aware approach
	2012

[76]	Rapid Prototyping of Advanced Cloud Based Services and Systems
	2012

[77]	Online Manuscript Access
	2011

[1]	Analysis of Workloads for Cloud Services 2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science (BCD), 2022 DOI:10.1109/BCD54882.2022.9900564

[2]	Towards SLA-Driven Autoscaling of Cloud Distributed Services for Mobile Communications Mobile Information Systems, 2022 DOI:10.1155/2022/3725657

[3]	Situation-Aware IoT Data Generation towards Performance Evaluation of IoT Middleware Platforms Sensors, 2022 DOI:10.3390/s23010007

[4]	Robust Dynamic CPU Resource Provisioning in Virtualized Servers IEEE Transactions on Services Computing, 2022 DOI:10.1109/TSC.2020.2966972

[5]	Viability of Azure IoT Hub for Processing High Velocity Large Scale IoT Data Companion of the ACM/SPEC International Conference on Performance Engineering, 2021 DOI:10.1145/3447545.3451187

[6]	Viability of Azure IoT Hub for Processing High Velocity Large Scale IoT Data Companion of the ACM/SPEC International Conference on Performance Engineering, 2021 DOI:10.1145/3447545.3451187

[7]	Generic SDE and GA-based workload modeling for cloud systems Journal of Cloud Computing, 2021 DOI:10.1186/s13677-020-00223-5

[8]	Analyzing Performance Parameters for Cloud Service Selection usingAHP 2021 6th International Conference for Convergence in Technology (I2CT), 2021 DOI:10.1109/I2CT51068.2021.9418148

[9]	Generating Complex, Realistic Cloud Workloads using Recurrent Neural Networks Proceedings of the ACM SIGOPS 28th Symposium on Operating Systems Principles CD-ROM, 2021 DOI:10.1145/3477132.3483590

[10]	IoT Workload Emulation for Data Centers Open Research Europe, 2021 DOI:10.12688/openreseurope.13079.1

[11]	Proactive planning of bandwidth resource using simulation-based what-if predictions for Web services in the cloud Frontiers of Computer Science, 2021 DOI:10.1007/s11704-019-9117-x

[12]	Prospective: A Data-Driven Technique to Predict Web Service Response Time Percentiles IEEE Access, 2019 DOI:10.1109/ACCESS.2019.2939805

[13]	Influence of the trace resolution and length in the cost optimization process in cloud computing 2019 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS), 2019 DOI:10.23919/SPECTS.2019.8823508

[14]	An “On The Fly” Framework for Efficiently Generating Synthetic Big Data Sets 2019 IEEE International Conference on Big Data (Big Data), 2019 DOI:10.1109/BigData47090.2019.9006460

[15]	An open source approach to the design and implementation of Digital Twins for Smart Manufacturing International Journal of Computer Integrated Manufacturing, 2019 DOI:10.1080/0951192X.2019.1599436

[16]	A Digital Twin-based Privacy Enhancement Mechanism for the Automotive Industry 2018 International Conference on Intelligent Systems (IS), 2018 DOI:10.1109/IS.2018.8710526

[17]	Semantic-Aware Online Workload Characterization and Consolidation 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 2018 DOI:10.1109/CLOUD.2018.00034

[18]	Resource Demand Forecasting Approach Based on Generic Cloud Workload Model 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2018 DOI:10.1109/SmartWorld.2018.00117

[19]	Workload Generators for Web-Based Systems: Characteristics, Current Status, and Challenges IEEE Communications Surveys & Tutorials, 2018 DOI:10.1109/COMST.2018.2798641

[20]	Log2Sim: Automating What-If Modeling and Prediction for Bandwidth Management of Cloud Hosted Web Services 2018 IEEE International Conference on Web Services (ICWS), 2018 DOI:10.1109/ICWS.2018.00020

[21]	Workload Characterization Proceedings of the 7th International Conference on Computer and Communication Technology, 2017 DOI:10.1145/3154979.3155003

[22]	What-If Model Construction and Validation of Web Systems Based on Log Mining 2017 24th Asia-Pacific Software Engineering Conference (APSEC), 2017 DOI:10.1109/APSEC.2017.57

[23]	Emerging Research in Computing, Information, Communication and Applications 2016 DOI:10.1007/978-981-10-0287-8_50

[24]	A multi-tenant hierarchical modeling for cloud computing workload Intelligent Automation & Soft Computing, 2016 DOI:10.1080/10798587.2016.1152774

[25]	Behavior pattern analysis for resource utilization in cloud computing 2016 2nd International Conference on Next Generation Computing Technologies (NGCT), 2016 DOI:10.1109/NGCT.2016.7877402

[26]	Design Support for Performance Aware Dynamic Application (Re-)Distribution in the Cloud IEEE Transactions on Services Computing, 2015 DOI:10.1109/TSC.2014.2381237

[27]	Distance Based Root Cause Analysis and Change Impact Analysis of Performance Regressions Mathematical Problems in Engineering, 2015 DOI:10.1155/2015/690829

[28]	Analysis, Modeling and Simulation of Workload Patterns in a Large-Scale Utility Cloud IEEE Transactions on Cloud Computing, 2014 DOI:10.1109/TCC.2014.2314661

[29]	Automated Model-Based Performance Testing for PaaS Cloud Services 2014 IEEE 38th International Computer Software and Applications Conference Workshops, 2014 DOI:10.1109/COMPSACW.2014.108

[30]	LTF: A Model-Based Load Testing Framework for Web Applications 2014 14th International Conference on Quality Software, 2014 DOI:10.1109/QSIC.2014.53

[31]	Towards Dynamic Application Distribution Support for Performance Optimization in the Cloud 2014 IEEE 7th International Conference on Cloud Computing, 2014 DOI:10.1109/CLOUD.2014.42

[32]	Resource Requirement Analysis for Web Applications Running in a Virtualised Environment 2014 IEEE 6th International Conference on Cloud Computing Technology and Science, 2014 DOI:10.1109/CloudCom.2014.134

[33]	MSDoT — Memory size and depth of tier based queuing model for scheduling a multi-tier cloud 2013 1st International Conference on Emerging Trends and Applications in Computer Science, 2013 DOI:10.1109/ICETACS.2013.6691407

[34]	An Approach for Characterizing Workloads in Google Cloud to Derive Realistic Resource Utilization Models 2013 IEEE Seventh International Symposium on Service-Oriented System Engineering, 2013 DOI:10.1109/SOSE.2013.24

[35]	Rapid Prototyping of Multitier Cloud-Based Services and Systems Computer, 2013 DOI:10.1109/MC.2013.154

[36]	A Cloud-based Approach for Interoperable Electronic Health Records (EHRs) IEEE Journal of Biomedical and Health Informatics, 2013 DOI:10.1109/JBHI.2013.2257818

[37]	Performance Evaluation Approach for Multi-Tier Cloud Applications Journal of Software Engineering and Applications, 2013 DOI:10.4236/jsea.2013.62012

[38]	Hybrid resource provisioning for clouds Journal of Physics: Conference Series, 2012 DOI:10.1088/1742-6596/385/1/012004

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	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

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