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Goals and benchmarks for autonomic configuration recommenders

Mariano P. Consens, Denilson Barbosa, Adrian Teisanu, Laurent Mignet
2005 Proceedings of the 2005 ACM SIGMOD international conference on Management of data - SIGMOD '05  
In this paper, we introduce a flexible characterization of the performance goals of configuration recommenders and develop an experimental evaluation approach to benchmark the effectiveness of these autonomic  ...  Recently, a number of autonomic features have been incorporated into commercial RDBMS; tools for recommending database configurations (i.e., indexes, materialized views, partitions) for a given workload  ...  We thank Yannis Ioannidis, Sam Lightstone, Arun Marathe, Vivek Narasayya, Danny Zilio, and the referees for their feedback.  ... 
doi:10.1145/1066157.1066185 dblp:conf/sigmod/ConsensBTM05 fatcat:ltxvzljk4vgazdzkk4xnrrj4f4

Smart [chapter]

Guy M. Lohman, Sam S. Lightstone
2002 VLDB '02: Proceedings of the 28th International Conference on Very Large Databases  
IBM's SMART (Self-Managing And Resource Tuning) project aims to make DB2 selfmanaging, i.e. autonomic, to decrease the total cost of ownership and penetrate new markets.  ...  availability and recovery.  ...  Several are advisors, which systematically model alternative designs or configurations, and recommend a preferred configuration.  ... 
doi:10.1016/b978-155860869-6/50085-8 dblp:conf/vldb/LohmanL02 fatcat:bstyms6f45bl3ir3t6mjc2kgia

Autonomic computing

Jeffrey O. Kephart
2011 Proceedings of the 8th ACM international conference on Autonomic computing - ICAC '11  
Evaluation issues in autonomic computing. GCC 2004 § Other papers include -Consens et al. Goals and benchmarks for autonomic configuration recommenders. 2005 -K. Kanoun.  ...  Brown et al. developed benchmarks for configuration and healing -Brown & Keller.  ... 
doi:10.1145/1998582.1998584 dblp:conf/icac/Kephart11 fatcat:hyjij6x5gnfjfmadeolwlcvgny

D4RL: Datasets for Deep Data-Driven Reinforcement Learning [article]

Justin Fu, Aviral Kumar, Ofir Nachum, George Tucker, Sergey Levine
2021 arXiv   pre-print
This serves as a common starting point for the community to identify shortcomings in existing offline RL methods and a collaborative route for progress in this emerging area.  ...  In this work, we introduce benchmarks specifically designed for the offline setting, guided by key properties of datasets relevant to real-world applications of offline RL.  ...  discussions, and Kelvin Xu and Yinlam Chow for feedback on an earlier draft of this paper.  ... 
arXiv:2004.07219v4 fatcat:fkjwmgpxjzbyhmwxffdlu62dz4

Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles [article]

Vahid Behzadan, Arslan Munir
2018 arXiv   pre-print
However, the complexity of new techniques and their safety requirements render the bulk of current benchmarking frameworks inadequate, thus leaving the need for efficient comparison techniques unanswered  ...  With the rapidly growing interest in autonomous navigation, the body of research on motion planning and collision avoidance techniques has enjoyed an accelerating rate of novel proposals and developments  ...  of terrains, models of vehicular physics, and any other parameter configured for the experiment.  ... 
arXiv:1806.01368v1 fatcat:pitfzjr2prbulfkw6b4fs2a66y

A goal-driven auto-configuration tool for the distributed workflow management system mentorlite

Michael Gillmann, Jeanine Weissenfels, German Shegalov, Wolfgang Wonner, Gerhard Weikum
2000 Proceedings of the 2000 ACM SIGMOD international conference on Management of data - SIGMOD '00  
This tool aims to recommend an appropriate system configuration in terms of replicated workflow, application, and communication servers, so as to meet given goals for performance, availability, and performability  ...  In this paper, we outline the distributed architecture of Mentor-lite and elaborate on a goal-driven autoconfiguration tool for Mentor-lite and similar workflow management systems (WFMS).  ...  deriving the analytically best configuration for given performability and availability goals.  ... 
doi:10.1145/342009.336577 dblp:conf/sigmod/GillmannWSWW00 fatcat:vuf7z4tiyzga3jacke32u4oylm

A goal-driven auto-configuration tool for the distributed workflow management system mentorlite

Michael Gillmann, Jeanine Weissenfels, German Shegalov, Wolfgang Wonner, Gerhard Weikum
2000 SIGMOD record  
This tool aims to recommend an appropriate system configuration in terms of replicated workflow, application, and communication servers, so as to meet given goals for performance, availability, and performability  ...  In this paper, we outline the distributed architecture of Mentor-lite and elaborate on a goal-driven autoconfiguration tool for Mentor-lite and similar workflow management systems (WFMS).  ...  deriving the analytically best configuration for given performability and availability goals.  ... 
doi:10.1145/335191.336577 fatcat:ba7jcqucardnngpybmdw2yk3ty

Model-driven Algorithms and Architectures for Self-Aware Computing Systems (Dagstuhl Seminar 15041)

Samuel Kounev, Xiaoyun Zhu, Jeffrey O. Kephart, Marta Kwiatkowska, Marc Herbstritt
2015 Dagstuhl Reports  
engineering, systems modeling, simulation and analysis, autonomic and organic computing, machine learning and artificial intelligence, data center resource management, and so on.  ...  This report documents the program and the outcomes of Dagstuhl Seminar 15041 "Model-driven Algorithms and Architectures for Self-Aware Computing Systems".  ...  The discussion was productive in identifying and sharing metrics, use cases, benchmarking goals, and in identifying and formulating five key challenges for the future of benchmarking self-aware computing  ... 
doi:10.4230/dagrep.5.1.164 dblp:journals/dagstuhl-reports/KounevZKK15 fatcat:3xylz566gzectedhhi27kisgby

A Study on Architecture of Autonomic Computing-Self Managed Systems

Payal Mittal, Abhishek Singhal, Abhay Bansal
2014 International Journal of Computer Applications  
The main characteristics of autonomic systems, which are to be achieved, are Selfhealing, Self-optimizing, Self-protecting and Self-configuring.  ...  As in a complex growing mesh technologies field, autonomic computing is an auspicious new approach for building large scale distributed systems without assistance of any human interaction.  ...  Autonomic element should be trivial and should not use system resources. c. It should employ all open benchmarks and basic analogies to develop autonomic element. : a.  ... 
doi:10.5120/16011-4890 fatcat:bhy2uheulfeyfbx7k5lxbtdxwa

Workload management: a technology perspective with respect to self-* characteristics

Abdul Mateen, Basit Raza, Muhammad Sher, M. M. Awais, Norwatti Mustapha
2012 Artificial Intelligence Review  
The other challenge is how to characterize the workload, as the tasks such as configuration, prediction and adoption are fully dependent on the workload characterization.  ...  Finally the paper presents the research done in the database workload management tools with respect to the workload type and Autonomic Computing.  ...  and the source are credited.  ... 
doi:10.1007/s10462-012-9320-8 fatcat:h7snsxv6tfcxla53tn7ua7juxa

ALOJA-ML

Josep Lluís Berral, Nicolas Poggi, David Carrera, Aaron Call, Rob Reinauer, Daron Green
2015 Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15  
The resulting performance models can be used to forecast execution behavior of various workloads; they allow 'a-priori' prediction of the execution times for new configurations and HW choices and they  ...  These results are accompanied by a test bed and tools to deploy and evaluate the cost-effectiveness of the different hardware configurations, parameter tunings, and Cloud services.  ...  ALOJA-ML's machine-learning derived performance models predict execution times for given a workload and configuration (HW and SW) and provide configuration recommendations for optimal performance of a  ... 
doi:10.1145/2783258.2788600 dblp:conf/kdd/BerralPCCRG15 fatcat:3y7pnkbwxvbzjodjfwhm4ckjla

On Using an Automatic, Autonomous and Non-Intrusive Approach for Rewriting SQL Queries

Arlino H. M. de Araújo, José Maria Monteiro, José Antônio Fernandes de Macêdo, Júlio A. Tavares, Angelo Brayner, Sérgio Lifschitz
2013 Brazilian Symposium on Databases  
In this paper, we propose an automatic and non-intrusive approach for rewriting SQL queries.  ...  The proposed approach has been implemented and its behavior was evaluated in three different DBMSs using TPC-H benchmark.  ...  Its goal is mainly to eliminate unnecessary outer joins and cartesian products. Additionally, Embarcadero may provide recommendation for improving index configuration.  ... 
dblp:conf/sbbd/AraujoMMTBL13 fatcat:yihrreorzfemvpppok3wsy7c2y

DB-BERT: a Database Tuning Tool that "Reads the Manual" [article]

Immanuel Trummer
2021 arXiv   pre-print
At run time, DB-BERT learns to aggregate, adapt, and prioritize hints to achieve optimal performance for a specific database system and benchmark.  ...  We compare DB-BERT against various baselines, considering different benchmarks (TPC-C and TPC-H), metrics (throughput and run time), as well as database systems (Postgres and MySQL).  ...  Besides those parameters, we use the default TPC-C configurations for Postgres and MySQL from the OLTP benchmark 5 .  ... 
arXiv:2112.10925v1 fatcat:xnaoxjwakffsdmif2uralogy3a

DB-BERT: A Database Tuning Tool that "Reads the Manual"

Immanuel Trummer
2022 Proceedings of the 2022 International Conference on Management of Data  
At run time, DB-BERT learns to aggregate, adapt, and prioritize hints to achieve optimal performance for a specific database system and benchmark.  ...  We compare DB-BERT against various baselines, considering different benchmarks (TPC-C and TPC-H), metrics (throughput and run time), as well as database systems (Postgres and MySQL).  ...  Besides those parameters, we use the default TPC-C configurations for Postgres and MySQL from the OLTP benchmark 5 .  ... 
doi:10.1145/3514221.3517843 fatcat:lfcalsmonrcnvkvt7oevdeaqsi

Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots [article]

Eric Heiden, Luigi Palmieri, Kai O. Arras, Gaurav S. Sukhatme, Sven Koenig
2020 arXiv   pre-print
Planning smooth and energy-efficient motions for wheeled mobile robots is a central task for applications ranging from autonomous driving to service and intralogistic robotics.  ...  We use our benchmark to highlight the strengths and weaknesses of several common state-of-the-art motion planners and provide recommendations on when they should be used.  ...  ACKNOWLEDGMENTS The authors thank Ziang Liu for his contributions to the software repository and testing of various algorithms.  ... 
arXiv:2003.03543v1 fatcat:qpoingbrizcldonqydxyvwpevm
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