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Evaluating cloud database migration options using workload models

Martyn Ellison, Radu Calinescu, Richard F. Paige
2018 Journal of Cloud Computing: Advances, Systems and Applications  
The first stage of our approach obtains workload and structure models of the database to be migrated from database logs and the database schema.  ...  The second stage performs a discrete-event simulation using these models to obtain the cost and duration estimates. We implemented software tools that automate both stages of our approach.  ...  Science Warehouse Ltd provided additional funding for the migration of their database during our evaluation (AWS resources only).  ... 
doi:10.1186/s13677-018-0108-5 fatcat:vdexyvdh3ffixnomaky4odzmje

SAM: Database Generation from Query Workloads with Supervised Autoregressive Models

Jingyi Yang, Peizhi Wu, Gao Cong, Tieying Zhang, Xiao He
2022 Proceedings of the 2022 International Conference on Management of Data  
In this work, we propose SAM, a supervised deep autoregressive model-based method for database generation from query workloads.  ...  Second, we develop algorithms to obtain unbiased samples of base relations from the deep autoregressive model and assign join keys in a way that accurately recovers the full outer join of the target database  ...  CONCLUSION This work considers the practical problem of generating a database from query workloads, such that the generated database resembles the original database in terms of data distribution.  ... 
doi:10.1145/3514221.3526168 fatcat:xkgkcmdcanezfdritanxo62y2u

Performance Modeling and Analysis of a Database Server with Write-Heavy Workload [chapter]

Manfred Dellkrantz, Maria Kihl, Anders Robertsson
2012 Lecture Notes in Computer Science  
In this paper we investigate the performance dynamics of a MySQL/InnoDB database server with write-heavy workload.  ...  Further, we present a performance model for the response time of the requests and show how this model can be configured to fit with actual database measurements.  ...  In this paper, we have developed a performance model based on queueing systems for database servers with write-heavy workload. We validate our model using experiments in a testbed. F . De Paoli, E.  ... 
doi:10.1007/978-3-642-33427-6_13 fatcat:2sh2tbhoovfzjidk6vb6grymki

Predicting completion times of batch query workloads using interaction-aware models and simulation

Mumtaz Ahmad, Songyun Duan, Ashraf Aboulnaga, Shivnath Babu
2011 Proceedings of the 14th International Conference on Extending Database Technology - EDBT/ICDT '11  
A question that database administrators (DBAs) routinely need to answer is how long a batch query workload will take to complete.  ...  We show that a careful choice of sampling and statistical modeling strategies can result in accurate models that can be used in novel interaction-aware workload simulator to estimate workload completion  ...  When running these workloads, we use MPL M ∈ {5, 10}. We limit the workload sizes and MPL for the 10GB database due to the long run times of queries on this database.  ... 
doi:10.1145/1951365.1951419 dblp:conf/edbt/AhmadDAB11 fatcat:u4tytuk5gvcy3hiiawi23ymft4

Autonomic Workload Performance Modeling for Large-Scale Databases and Data Warehouses through Deep Belief Network with Data Augmentation using Conditional Generative Adversarial Networks

Nusrat Shaheen, Basit Raza, Ahmad Raza Shahid, Ahmad Kamran Malik
2021 IEEE Access  
Limitation of the proposed model is that it is experimented and tested using MySQL database.  ...  Therefore, developing a workload performance prediction model for autonomic Database management systems (DBMSs) and Data warehouses (DWHs) is a challenging task that must deal with larger data sets.  ...  Her areas of research are databases, data mining, machine learning and autonomic workload management.  ... 
doi:10.1109/access.2021.3096039 fatcat:d5ogtlrtgrg2riivmmlrcuv7z4

A Modeling Tool for Workload Analysis and Performance Tuning of Parallel Database Applications

Silvio Salza, Massimiliano Renzetti
1997 unpublished
In this paper we present a methodology, and a connected modeling tool for the performance analysis of parallel database applications.  ...  database systems.  ...  Section 4 introduces the workload model, i.e. the set of parameters that we use to give a quantitative characterization of the database (static workload), of the transactional workload (dynamic workload  ... 
doi:10.14236/ewic/adbis1997.38 fatcat:x3xbsciv3jh6rcctmflzym2g7e

Database server workload characterization in an e-commerce environment

Fujian Liu, Yanping Zhao, Wenguang Wang, D. Makaroff
The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, 2004. (MASCOTS 2004). Proceedings.  
In this paper, we characterize the database server workloads in a benchmark E-commerce system.  ...  A good understanding of the workload characteristics of the database server in an E-commerce environment is important to the design, tuning, and capacity planning of the database server.  ...  We would also like to compare the database server workloads in E-commerce systems with traditional database workloads, i.e., OLAP and OLTP.  ... 
doi:10.1109/mascot.2004.1348303 dblp:conf/mascots/LiuZWM04 fatcat:47fddcmmjzd77kduuoboai4t7y

Storage workload estimation for database management systems

Oguzhan Ozmen, Kenneth Salem, Mustafa Uysal, M. Hossein Sheikh Attar
2007 Proceedings of the 2007 ACM SIGMOD international conference on Management of data - SIGMOD '07  
Specifically, we show how to translate a database workload description, together with a database physical design, into a characterization of the storage workload that will result.  ...  In this paper, we attempt to close this gap by addressing the problem of predicting the storage workload that will be generated by a database management system.  ...  The Rome model is not specifically designed to model the I/O workloads generated by database management systems.  ... 
doi:10.1145/1247480.1247523 dblp:conf/sigmod/OzmenSUA07 fatcat:4gdexdhjhfaabe7xkoyneie6dy

Fuzzy Modeling Based Resource Management for Virtualized Database Systems

Lixi Wang, Jing Xu, Ming Zhao, Yicheng Tu, Jose A.B. Fortes
2011 2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems  
It uses adaptive fuzzy modeling to capture the behavior of a VM hosting a database with dynamically changing workloads and to predict its multi-type resource needs.  ...  This paper considers the problem of on-demand allocation of resources to a VM running a database serving dynamic and complex query workloads while meeting QoS (Quality of Service) requirements.  ...  UPDATE ratio to its database workload.  ... 
doi:10.1109/mascots.2011.70 dblp:conf/mascots/WangXZTF11 fatcat:7zvvueb2evgzpo65euldwt74lu

Using economic models to allocate resources in database management systems

Mingyi Zhang, Patrick Martin, Wendy Powley, Paul Bird
2008 Proceedings of the 2008 conference of the center for advanced studies on collaborative research meeting of minds - CASCON '08  
Resource allocation in database management systems is a performance management process in which an autonomic DBMS makes resource allocation decisions based on properties like workload business importance  ...  for the workloads.  ...  The economic model allocates buffer pool memory space and system CPU resources across the three identical databases based on a given workload business importance policy.  ... 
doi:10.1145/1463788.1463814 dblp:conf/cascon/ZhangMPB08 fatcat:2cwxacmywbderhts7ao2gvs2wy

One Model to Rule them All: Towards Zero-Shot Learning for Databases [article]

Benjamin Hilprecht, Carsten Binnig
2022 arXiv   pre-print
or even beyond classical database systems and workloads.  ...  Zero-shot learning for databases is inspired by recent advances in transfer learning of models such as GPT-3 and can support a new database out-of-the box without the need to train a new model.  ...  The resulting fewshot models leverage the observed workload on the database similar to workload-driven models and thus likely offer more accurate predictions.  ... 
arXiv:2105.00642v4 fatcat:3xxh3mcywba2te4b7szxsp4h7q

Model-Driven Geo-Elasticity in Database Clouds

Tian Guo, Prashant Shenoy
2015 2015 IEEE International Conference on Autonomic Computing  
network model to provision databases with both CPU and I/O-intensive query workloads.  ...  Our geo-elastic provisioning approach comprises a regression-based model to infer the database query workload from observations of the spatially distributed frontend workload and a two-node open queueing  ...  We proposed a regression-based model to infer the database query workload from observations of the spatially distributed front-end workload and a two-node open queueing network model to provision databases  ... 
doi:10.1109/icac.2015.46 dblp:conf/icac/GuoS15 fatcat:y6wbjrfp55h5dey6vwicf4cnoy

Runtime Performance Benchmarking for NoSQL Databases

C.-F. Andor, Department of Computer Science, Faculty of Mathematics and Computer Science, Babeș-Bolyai University, Cluj-Napoca, Romania, B. Pârv, Department of Computer Science, Faculty of Mathematics and Computer Science, Babeș-Bolyai University, Cluj-Napoca, Romania
2019 Studia Universitatis Babes-Bolyai: Series Informatica  
In this study, two NoSQL database management systems (MongoDB and Cassandra) were compared, and the following factors were considered: degree of parallelism and workload.  ...  An experimental study regarding the performance of NoSQL database management systems is presented in this paper.  ...  These new non relational database systems are known today as NoSQL database systems, and the data models they are based on are known as NoSQL data models.  ... 
doi:10.24193/subbi.2019.1.07 fatcat:fcsg6vzronhyfkpekjxa3cwlgi

Performance Evaluation Approach for Multi-Tier Cloud Applications

Arshdeep Bahga, Vijay K. Madisetti
2013 Journal of Software Engineering and Applications  
The workloads of multi-tier cloud applications are captured in two different models-benchmark application and workload models.  ...  Multi-tier cloud applications can have complex deployment configurations with load balancers, web servers, application servers and database servers.  ...  Workload Model The workload model includes attributes of the workload such as inter-session interval, think time and session length.  ... 
doi:10.4236/jsea.2013.62012 fatcat:cdyolgic4vhfpmilebungbtmeu

Estimate the Total Completion Time of the Workload

Muhammad Amjad, Waqas Ahmad, Zia Ur, Waqar Hussain, Syed Badar, Bilal Ahmed, Usman Ali, M. Abdul, Ammad Khan, M. Umar
2020 International Journal of Advanced Computer Science and Applications  
A novel approach as a estimate framework is presented to estimate running time of a workload based on experiment driven modeling coupled with workload simulation.  ...  This question ascends, when database administrator entails to accomplish workloads within existing time frame. The database system executes mixes of multiple queries concurrently.  ...  The database administrator can accurate estimations for future workloads in a database with the help of one time samples. C.  ... 
doi:10.14569/ijacsa.2020.0110606 fatcat:2pwtcjyzzrchnhuttvvhrvjsxq
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