Search Results - acm: c.: computer systems organisation/c.4: performance of systems/c.4.3: modeling techniques*

MARTE: A Profile for RT/E Systems Modeling, Analysis (and Simulation?)

Authors: Mallet, Frédéric de Simone, Robert Models and methods of analysis and optimization for systems with real-time and embedding constraints (AOSTE) et al.

Contributors: Mallet, Frédéric de Simone, Robert Models and methods of analysis and optimization for systems with real-time and embedding constraints (AOSTE) et al.

Source: First International Conference on Simulation Tools and Techniques for Communications, Networks and Systems SIMUTools'08 ; https://inria.hal.science/inria-00371397 ; First International Conference on Simulation Tools and Techniques for Communications, Networks and Systems SIMUTools'08, ICST, Mar 2008, Marseille, France. pp.1-8

Subject Terms: UML, MARTE, Simulation, ACM: C.: Computer Systems Organization/C.3: SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS/C.3.2: Real-time and embedded systems, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing

Subject Geographic: Marseille, France

Availability: https://inria.hal.science/inria-00371397
https://inria.hal.science/inria-00371397v1/document
https://inria.hal.science/inria-00371397v1/file/simutools08.pdf

Theory of continuous polling systems applied to the Design of Message Ferry Routes in sensor networks

Authors: Voleti, Veeraruna Kavitha Altman, Eitan Models for the performance analysis and the control of networks (MAESTRO) et al.

Contributors: Voleti, Veeraruna Kavitha Altman, Eitan Models for the performance analysis and the control of networks (MAESTRO) et al.

Source: https://inria.hal.science/inria-00573799 ; 2011.

Subject Terms: Continuous Polling systems, Virtual Workload, Pseudo Conservation Laws, Ferry, Wireless LAN, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.8: Queueing theory, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.5: Local and Wide-Area Networks, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]

Availability: https://inria.hal.science/inria-00573799
https://inria.hal.science/inria-00573799v2/document
https://inria.hal.science/inria-00573799v2/file/HALFinANORRev2.pdf

1. American Heart Association. (2021). Heart disease and stroke statistics—2021 update. Circulation, 143(8), e254-e743. 2. Rahman, M., Al Amin, M., Hasan, R., Hossain, S. T., Rahman, M. H., & Rashed, R. A. M. (2025). A Predictive AI Framework for Cardiovascular Disease Screening in the US: Integrating EHR Data with Machine and Deep Learning Models. British Journal of Nursing Studies, 5(2), 40-48. 3. ZakirHossain, M., Khan, M. M., Thapa, S., Uddin, R., Meem, E. J., Niloy, S. K., ... & Bhavani, G. D. (2025, February). Advanced Deep Learning Techniques for Precision Diagnosis of Tea Leaf Diseases. In 2025 IEEE International Conference on Emerging Technologies and Applications (MPSec ICETA) (pp. 1-6). IEEE. 4. Chen, T., & Guestrin, C. (2016). XGBoost: A scalable tree boosting system. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining (pp. 785-794). ACM. 5. Damen, J. A., Hooft, L., Schuit, E., Debray, T. P., Collins, G. S., Tzoulaki, I., Lassale, C. M., Siontis, G. C., Chiocchia, V., Roberts, C., Schlüssel, M. M., Gerry, S., Black, J. A., Heus, P., van der Schouw, Y. T., Peelen, L. M., & Moons, K. G. (2016). Prediction models for cardiovascular disease risk in the general population: systematic review. BMJ, 353, i2416. 6. Framingham Heart Study. (1948). Framingham Heart Study cohort research data. National Heart, Lung, and Blood Institute. 7. Johnson, A. E., Pollard, T. J., Shen, L., Lehman, L. H., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Celi, L. A., & Mark, R. G. (2016). MIMIC-III, a freely accessible critical care database. Scientific Data, 3, 160035. 8. Krittanawong, C., Zhang, H., Wang, Z., Aydar, M., & Kitai, T. (2017). Artificial intelligence in precision cardiovascular medicine. Journal of the American College of Cardiology, 69(21), 2657-2664. 9. Lundberg, S. M., & Lee, S. I. (2017). A unified approach to interpreting model predictions. In Advances in Neural Information Processing Systems 30 (NIPS 2017) (pp. 4765-4774). 10. Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., & Duchesnay, É. (2011). Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12, 2825–2830. 11. Shameer, K., Johnson, K. W., Glicksberg, B. S., Dudley, J. T., & Sengupta, P. P. (2018). Machine learning in cardiovascular medicine: are we there yet? Heart, 104(14), 1156-1164. 12. Steyerberg, E. W., Vergouwe, Y., & van Calster, B. (2019). Towards better clinical prediction models: seven steps for development and an ABCD for validation. European Heart Journal, 40(15), 1255–1264. 13. Sudlow, C., Gallacher, J., Allen, N., Beral, V., Burton, P., Danesh, J., Downey, P., Elliott, P., Green, J., Landray, M., Liu, B., Matthews, P., Ong, G., Pell, J., Silman, A., Young, A., Sprosen, T., Peakman, T., & Collins, R. (2015). UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLOS Medicine, 12(3), e1001779. 14. Weng, S. F., Reps, J., Kai, J., Garibaldi, J. M., & Qureshi, N. (2017). Can machine-learning improve cardiovascular risk prediction using routine clinical data? PLOS ONE, 12(4), e0174944. 15. World Health Organization. (2021). Cardiovascular diseases (CVDs). Retrieved from https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds) 16. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D. G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., ... Zheng, X. (2016). TensorFlow: A system for large-scale machine learning. In 12th USENIX symposium on operating systems design and implementation (OSDI 16) (pp. 265–283). 17. Chollet, F. (2015). Keras (Version 2.4.0) [Computer software]. https://github.com/fchollet/keras

Authors: Okunola, Abiodun

A Mean Field Approach for Optimization in Particles Systems and Applications

Authors: Gast, Nicolas Gaujal, Bruno Middleware efficiently scalable (MESCAL) et al.

Contributors: Gast, Nicolas Gaujal, Bruno Middleware efficiently scalable (MESCAL) et al.

Source: https://inria.hal.science/inria-00368011 ; [Research Report] RR-6877, INRIA. 2009, pp.23.

Subject Terms: Markov Decision Processes, Mean Field, Optimization, Particles System, Grid Broker, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.4: Markov processes, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.15: Stochastic processes, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/0903.2352; ARXIV: 0903.2352

Availability: https://inria.hal.science/inria-00368011
https://inria.hal.science/inria-00368011v3/document
https://inria.hal.science/inria-00368011v3/file/RR-6877.pdf

BADCO: Behavioral Application-Dependent Superscalar Core Model

Authors: Velasquez, Ricardo A. Michaud, Pierre Seznec, André et al.

Contributors: Velasquez, Ricardo A. Michaud, Pierre Seznec, André et al.

Source: SAMOS XII: International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation ; https://inria.hal.science/hal-00707346 ; SAMOS XII: International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, Jul 2012, Samos, Greece

Subject Terms: ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, [INFO.INFO-AO]Computer Science [cs]/Computer Arithmetic

Subject Geographic: Samos, Greece

Availability: https://inria.hal.science/hal-00707346
https://inria.hal.science/hal-00707346/document
https://inria.hal.science/hal-00707346/file/badco_samos.pdf

Vacation Policy Optimization with Application to IEEE 802.16e Power Saving Mechanism

Authors: Azad, Amar, Prakash Alouf, Sara Altman, Eitan et al.

Contributors: Azad, Amar, Prakash Alouf, Sara Altman, Eitan et al.

Source: https://inria.hal.science/inria-00410117 ; [Research Report] RR-7017, INRIA. 2009.

Subject Terms: Vacation policy, power save mode, numerical analysis, optimization, WiMax, performance analysis, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.0: Design studies, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.5: Local and Wide-Area Networks/C.2.5.0: Access schemes, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization/G.1.6.2: Global optimization, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.2: Distribution functions, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.15: Stochastic processes, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]

Relation: https://inria.hal.science/hal-00640988v1; https://inria.hal.science/hal-00641076v1

Availability: https://inria.hal.science/inria-00410117
https://inria.hal.science/inria-00410117v1/document
https://inria.hal.science/inria-00410117v1/file/RR-7017.pdf

Vacation Policy Optimization with Application to IEEE 802.16e Power Saving Mechanism

Authors: Azad, Amar Alouf, Sara Altman, Eitan et al.

Contributors: Azad, Amar Alouf, Sara Altman, Eitan et al.

Subject Terms: Vacation policy, power save mode, numerical analysis, optimization, WiMax, performance analysis, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.0: Design studies, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.5: Local and Wide-Area Networks/C.2.5.0: Access schemes, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization/G.1.6.2: Global optimization, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.2: Distribution functions, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.15: Stochastic processes, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], stat

Relation: https://hal.inria.fr/inria-00410117/file/RR-7017.pdf; https://hal.inria.fr/inria-00410117

Availability: https://hal.inria.fr/inria-00410117/file/RR-7017.pdf
https://hal.inria.fr/inria-00410117

Analysis of an M/G/1 queue with repeated inhomogeneous vacations -- Application to IEEE 802.16e power saving

Authors: Alouf, Sara Altman, Eitan Azad, Amar Prakash et al.

Contributors: Alouf, Sara Altman, Eitan Azad, Amar Prakash et al.

Source: https://inria.hal.science/inria-00266552 ; [Research Report] RR-6488, INRIA. 2008, pp.31.

Subject Terms: M/G/1 queue with repeated inhomogeneous vacations, power save mode, system response time, constrained optimization, numerical analysis, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.8: Queueing theory, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.11: Renewal theory, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.15: Stochastic processes, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.5: Local and Wide-Area Networks, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]

Relation: https://inria.hal.science/hal-00641076v1; https://inria.hal.science/hal-00641082v1

Availability: https://inria.hal.science/inria-00266552
https://inria.hal.science/inria-00266552v3/document
https://inria.hal.science/inria-00266552v3/file/RR-6488.pdf

Break Down GPU Execution Time with an Analytical Method

Authors: Lai, Junjie Seznec, André Amdahl's Law is Forever (ALF) et al.

Contributors: Lai, Junjie Seznec, André Amdahl's Law is Forever (ALF) et al.

Source: Rapido '12 ; https://inria.hal.science/hal-00764874 ; Rapido '12, Jan 2012, Paris, France. ⟨10.1145/2162131.2162136⟩

Subject Terms: ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development/I.6.5.0: Modeling methodologies, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.6: Simulation Output Analysis

Subject Geographic: Paris, France

Availability: https://inria.hal.science/hal-00764874
https://doi.org/10.1145/2162131.2162136

Global Memory Access Modelling for Efficient Implementation of the Lattice Boltzmann Method on Graphics Processing Units

Authors: Obrecht, Christian Kuznik, Frédéric Tourancheau, Bernard et al.

Contributors: Obrecht, Christian Kuznik, Frédéric Tourancheau, Bernard et al.

Source: Proc. VECPAR2011 ; VECPAR ; https://inria.hal.science/inria-00563159 ; VECPAR, 2011, Porto, Portugal. pp.151--161

Subject Terms: GPU computing, CUDA, lattice Boltzmann method, CFD, ACM: J.: Computer Applications, ACM: J.: Computer Applications/J.2: PHYSICAL SCIENCES AND ENGINEERING, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [PHYS.PHYS.PHYS-FLU-DYN]Physics [physics]/Physics [physics]/Fluid Dynamics [physics.flu-dyn]

Subject Geographic: Porto, Portugal

Time: Porto, Portugal

Availability: https://inria.hal.science/inria-00563159
https://inria.hal.science/inria-00563159v1/document
https://inria.hal.science/inria-00563159v1/file/obrecht11a.pdf

Analysis of Price Competition in a Slotted Resource Allocation Game

Authors: Maillé, Patrick Tuffin, Bruno Département Réseaux, Sécurité et Multimédia (RSM) et al.

Contributors: Maillé, Patrick Tuffin, Bruno Département Réseaux, Sécurité et Multimédia (RSM) et al.

Source: https://inria.hal.science/inria-00156594 ; [Research Report] PI 1855, 2007, pp.24.

Subject Terms: Game Theory, Pricing, Wardrop Principle, Nash Equilibrium, Stackelberg game, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, ACM: J.: Computer Applications/J.4: SOCIAL AND BEHAVIORAL SCIENCES/J.4.0: Economics, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-RO]Computer Science [cs]/Operations Research [math.OC]

Relation: Report N°: PI 1855

Availability: https://inria.hal.science/inria-00156594
https://inria.hal.science/inria-00156594v1/document
https://inria.hal.science/inria-00156594v1/file/PI-1855.pdf

Floor the Ceil & Ceil the Floor: Revisiting AIMD Evaluation

Authors: Rao, Ashwin Legout, Arnaud Cessac, Bruno et al.

Contributors: Rao, Ashwin Legout, Arnaud Cessac, Bruno et al.

Source: https://inria.hal.science/hal-00733890 ; [Research Report] 2012.

Subject Terms: AIMD, Sensitivity, Fairness, Efficiency, Integer Arithmetic, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation

Availability: https://inria.hal.science/hal-00733890
https://inria.hal.science/hal-00733890v1/document
https://inria.hal.science/hal-00733890v1/file/revisit-aimd-floor-ceil.pdf

Impact of mobility on call block, call drops and optimal cell size in small cell networks

Authors: Ramanath, Sreenath Voleti, Veeraruna Kavitha Altman, Eitan et al.

Contributors: Ramanath, Sreenath Voleti, Veeraruna Kavitha Altman, Eitan et al.

Source: https://inria.hal.science/inria-00573966 ; 2011.

Subject Terms: ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.3: Modeling techniques, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]

Availability: https://inria.hal.science/inria-00573966
https://inria.hal.science/inria-00573966v1/document
https://inria.hal.science/inria-00573966v1/file/2DSmallCellMobility.pdf

Visualization and Interaction with a virtuel honey bee colony- Simulation, Complexity and Pedagogy - ; Visualisation et Interactions avec une Colonie d’Abeilles Virtuelle- Simulation, Complexité et Pédagogie -

Authors: Alves, Thomas Equipe Immersive Natural User Interaction team (Lab-STICC_INUIT) Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) et al.

Contributors: Alves, Thomas Equipe Immersive Natural User Interaction team (Lab-STICC_INUIT) Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) et al.

Source: https://tel.archives-ouvertes.fr/tel-03509321 ; Système multi-agents [cs.MA]. Université de Bretagne Occidentale (UBO), 2021. Français.

Subject Terms: Complex Systems, Agent based simulation, Self-organisation, Honey bee colony, Immersive Visualisations and Interactions, Systèmes complexes, Systèmes multi-agents, Auto-organisation, Colonie d’abeilles, Visualisations et interactions immersives, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.11: Distributed Artificial Intelligence/I.2.11.3: Multiagent systems, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.8: Types of Simulation/I.6.8.3: Discrete event, ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g., HCI)/H.5.2: User Interfaces/H.5.2.7: Interaction styles (e.g., commands, menus, forms, direct manipulation), [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]

Relation: tel-03509321; https://tel.archives-ouvertes.fr/tel-03509321; https://tel.archives-ouvertes.fr/tel-03509321/document; https://tel.archives-ouvertes.fr/tel-03509321/file/Final.pdf

Availability: https://tel.archives-ouvertes.fr/tel-03509321
https://tel.archives-ouvertes.fr/tel-03509321/document
https://tel.archives-ouvertes.fr/tel-03509321/file/Final.pdf

1995 ACM SIGMETRICS joint international conference on measurement and modeling of computer systems : SIGMETRICS'95/PERFORMANCE'95 : proceedings : [May 15-19, 1995, the Westin Hotel, Ottawa, Ontario, Canada] / spons. by ACM SIGMETRICS and IFIP Working Group 7.3.

Authors: Conference on Measurement and Modeling of Computer Systems (1995 ; Ottawa). ACM SIGMETRICS. IFIP Working Group 7.3 on Computer System Modeling.

Contributors: Conference on Measurement and Modeling of Computer Systems (1995 ; Ottawa). ACM SIGMETRICS. IFIP Working Group 7.3 on Computer System Modeling.

Source: Bibliogr. przy referatach.
Index.

Subject Terms: Teoria obsługi masowej

Access URL: http://katalog.nukat.edu.pl/lib/item?id=chamo:1758887&theme=nukat

1992 ACM SIGMETRICS and PERFORMANCE'92 international conference on measurement and modeling of computer systems : proceedings : June 1-5, 1992, Newport, Rhode Island, USA / spons. by ACM SIGMETRICS and IFIP WG 7.3.

Authors: Conference on Measurement and Modeling of Computer Systems (1992 ; Newport). ACM SIGMETRICS. IFIP Working Group 7.3 on Computer System Modeling.

Contributors: Conference on Measurement and Modeling of Computer Systems (1992 ; Newport). ACM SIGMETRICS. IFIP Working Group 7.3 on Computer System Modeling.

Source: Bibliogr. przy referatach.
Index.

Subject Terms: Teoria obsługi masowej

Access URL: http://katalog.nukat.edu.pl/lib/item?id=chamo:1758867&theme=nukat

1993 ACM SIGMETRICS conference on measurement and modeling of computer systems : proceedings : May 10-14, 1993, Santa Clara, California, USA / spons. by ACM SIGMETRICS.

Authors: Conference on Measurement and Modeling of Computer Systems (1993 ; Santa Clara). ACM SIGMETRICS.

Contributors: Conference on Measurement and Modeling of Computer Systems (1993 ; Santa Clara). ACM SIGMETRICS.

Source: Bibliogr. przy referatach.
Index.

Subject Terms: Teoria obsługi masowej

Access URL: http://katalog.nukat.edu.pl/lib/item?id=chamo:1758884&theme=nukat

Analysis of a Stochastic Model of Replication in Large Distributed Storage Systems: A Mean-Field Approach

Authors: Sun, Wen Simon, Véronique Monnet, Sébastien et al.

Contributors: Sun, Wen Simon, Véronique Monnet, Sébastien et al.

Source: ACM Sigmetrics 2017- International Conference on Measurement and Modeling of Computer Systems ; https://inria.hal.science/hal-01494235 ; ACM Sigmetrics 2017- International Conference on Measurement and Modeling of Computer Systems, Jun 2017, Urbana-Champaign, Illinois, United States. pp.51--51, ⟨10.1145/3078505.3078531⟩ ; http://www.sigmetrics.org/sigmetrics2017/

Subject Terms: Performance, Stochastic Models, Placement Algortihms, Mean-Field Limits, Large Distributed Systems, DHT, ACM: C.: Computer Systems Organization, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.4: Distributed Systems, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]

Subject Geographic: Urbana-Champaign, Illinois, United States

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1701.00335; ARXIV: 1701.00335

Availability: https://inria.hal.science/hal-01494235
https://doi.org/10.1145/3078505.3078531

Self-Tuning Cost Modeling of User-Defined Functions in an Object-Relational DBMS.

Authors: Zhen He Byung Suk Lee Snapp, Robert

Source: ACM Transactions on Database Systems; Sep2005, Vol. 30 Issue 3, p812-853, 42p

Subject Terms: DATABASE management, ELECTRONIC data processing, SQL, MANAGEMENT information systems, COMPUTER storage devices, PERFORMANCE

Monitoring Service Choreographies from Multiple Sources

Authors: Ben Hamida, Amira Bertolino, Antonia Calabrò, Antonello et al.

Contributors: Ben Hamida, Amira Bertolino, Antonia Calabrò, Antonello et al.

Source: SERENE 2012 - 4th International Workshop on Software Engineering for Resilient Systems ; https://hal.inria.fr/hal-00741684 ; SERENE 2012 - 4th International Workshop on Software Engineering for Resilient Systems, Paris Avgeriou, Sep 2012, Pisa, Italy. pp.134-149, ⟨10.1007/978-3-642-33176-3_10⟩

Subject Terms: Monitoring, Choreographies, Complex Event Processing, SOA, SLA, QoS, ACM: D.: Software/D.2: SOFTWARE ENGINEERING, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.2: Design Tools and Techniques, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.5: Reliability, availability, and serviceability, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.5: Testing and Debugging/D.2.5.6: Monitors, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], manag, edu

Subject Geographic: Pisa, Italy

Relation: https://hal.inria.fr/hal-00741684

Availability: https://hal.inria.fr/hal-00741684