Search Results - ACM: E.: Data/E.1: DATA STRUCTURES/E.1.1: Distributed data structures

Incremental Stream Processing using Computational Conflict-free Replicated Data Types

Authors: Navalho, David Duarte, Sérgio Preguiça, Nuno et al.

Contributors: Navalho, David Duarte, Sérgio Preguiça, Nuno et al.

Source: CloudDP '13 - 3rd International Workshop on Cloud Data and Platforms ; https://inria.hal.science/hal-00932788 ; CloudDP '13 - 3rd International Workshop on Cloud Data and Platforms, Apr 2013, Prague, Czech Republic. pp.31-36, ⟨10.1145/2460756.2460762⟩

Subject Terms: Stream Processing, Distributed Processing, Incredential Computation, Real Time, conflict-free replicated data type (CRDT), distributed systems, replication and consistency, replicated data, ACM: D.: Software/D.1: PROGRAMMING TECHNIQUES/D.1.3: Concurrent Programming, ACM: D.: Software/D.1: PROGRAMMING TECHNIQUES/D.1.3: Concurrent Programming/D.1.3.0: Distributed programming, ACM: D.: Software/D.1: PROGRAMMING TECHNIQUES/D.1.3: Concurrent Programming/D.1.3.1: Parallel programming, ACM: E.: Data/E.1: DATA STRUCTURES/E.1.1: Distributed data structures, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]

Subject Geographic: Prague, Czech Republic

Availability: https://inria.hal.science/hal-00932788
https://inria.hal.science/hal-00932788v1/document
https://inria.hal.science/hal-00932788v1/file/computational-CRDTs-CloudDP-2013.pdf
https://doi.org/10.1145/2460756.2460762

Synchronizing Semantic Stores with Commutative Replicated Data Types

Authors: Ibáñez, Luis Daniel Skaf-Molli, Hala Molli, Pascal et al.

Contributors: Ibáñez, Luis Daniel Skaf-Molli, Hala Molli, Pascal et al.

Source: SWCS - Semantic Web Collaborative Spaces Workshop - 2012 ; https://inria.hal.science/hal-00686484 ; SWCS - Semantic Web Collaborative Spaces Workshop - 2012, Apr 2012, Lyon, France. pp.1091-1096, ⟨10.1145/2187980.2188246⟩

Subject Terms: ACM: E.: Data/E.1: DATA STRUCTURES, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL, ACM: H.: Information Systems/H.0: GENERAL, [INFO.INFO-WB]Computer Science [cs]/Web, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]

Subject Geographic: Lyon, France

Availability: https://inria.hal.science/hal-00686484
https://inria.hal.science/hal-00686484v1/document
https://inria.hal.science/hal-00686484v1/file/wk9p04-ibanez.pdf
https://doi.org/10.1145/2187980.2188246

Proceedings of the 30th Annual ACM Symposium on Principles of Distributed Computing (PODC), San Jose, CA, USA

Authors: Fraigniaud, Pierre Gavoille, Cyril

Contributors: Fraigniaud, Pierre Gavoille, Cyril

Subject Terms: distributed computing, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]

Access URL: https://hal.science/hal-00998987v1

CRDTs: Consistency without concurrency control

Authors: Leția, Mihai Preguiça, Nuno Shapiro, Marc et al.

Contributors: Leția, Mihai Preguiça, Nuno Shapiro, Marc et al.

Source: https://hal.inria.fr/inria-00397981 ; [Research Report] RR-6956, INRIA. 2009, pp.16.

Subject Terms: commutative replicated data type, replicated data, consistency, weak consistency, eventual consistency, ACM: E.: Data/E.1: DATA STRUCTURES/E.1.1: Distributed data structures, ACM: E.: Data/E.1: DATA STRUCTURES/E.1.3: Lists, stacks, and queues, ACM: I.: Computing Methodologies/I.7: DOCUMENT AND TEXT PROCESSING/I.7.1: Document and Text Editing, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.4: Distributed Systems/C.2.4.1: Distributed applications, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/0907.0929; Report N°: RR-6956; inria-00397981; https://hal.inria.fr/inria-00397981; https://hal.inria.fr/inria-00397981/document; https://hal.inria.fr/inria-00397981/file/RR-6956.pdf; ARXIV: 0907.0929

Availability: https://hal.inria.fr/inria-00397981
https://hal.inria.fr/inria-00397981/document
https://hal.inria.fr/inria-00397981/file/RR-6956.pdf

Informatique distribuée : la gestion de données pair-à-pair par Serge Abiteboul. Recherche collaborative, entretien avec Anne -Marie Kermarrec, propos recueillis par Dominique Chouchan.

Authors: Abiteboul, Serge Kermarrec, Anne-Marie Distributed and heterogeneous data and knowledge (LEO) et al.

Contributors: Abiteboul, Serge Kermarrec, Anne-Marie Distributed and heterogeneous data and knowledge (LEO) et al.

Source: Les Cahiers de l'INRIA - La Recherche ; https://inria.hal.science/inria-00536672 ; Les Cahiers de l'INRIA - La Recherche, 2008, Soleil et climat : la polémique, 425 décembre 2008

Subject Terms: ACM: E.: Data/E.1: DATA STRUCTURES/E.1.1: Distributed data structures, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-WB]Computer Science [cs]/Web

Availability: https://inria.hal.science/inria-00536672
https://inria.hal.science/inria-00536672/document
https://inria.hal.science/inria-00536672/file/inria-n425-dec08.pdf

1. Baytas, I. M., Xiao, C., Zhang, X., Wang, F., Jain, A. K., & Zhou, J. (2017). Patient subtyping via time-aware LSTM networks. In Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining (pp. 65–74). ACM. 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. Che, Z., Purushotham, S., Cho, K., Sontag, D., & Liu, Y. (2018). Recurrent neural networks for multivariate time series with missing values. Scientific Reports, *8*(1), 6085. 5. Choi, E., Bahadori, M. T., Schuetz, A., Stewart, W. F., & Sun, J. (2016). Doctor AI: Predicting clinical events via recurrent neural networks. In Proceedings of the 1st Machine Learning for Healthcare Conference (pp. 301–318). PMLR. 6. Esteban, C., Hyland, S. L., & Rätsch, G. (2017). Real-valued (medical) time series generation with recurrent conditional GANs. arXiv preprint arXiv:1706.02633. 7. Harutyunyan, H., Khachatrian, H., Kale, D. C., Ver Steeg, G., & Galstyan, A. (2019). Multitask learning and benchmarking with clinical time series data. Scientific Data, *6*(1), 96. 8. Li, Y., Rao, S., Solares, J. R. A., Hassaine, A., Ramakrishnan, R., Canoy, D., Zhu, Y., Rahimi, K., & Salimi-Khorshidi, G. (2020). BEHRT: Transformer for electronic health records. Scientific Reports, *10*(1), 7155. 9. Lipton, Z. C., Kale, D. C., Elkan, C., & Wetzel, R. (2016). Learning to diagnose with LSTM recurrent neural networks. In 4th International Conference on Learning Representations (ICLR). 10. Mikolov, T., Sutskever, I., Chen, K., Corrado, G. S., & Dean, J. (2013). Distributed representations of words and phrases and their compositionality. In Advances in Neural Information Processing Systems 26 (pp. 3111–3119). 11. Miotto, R., Li, L., Kidd, B. A., & Dudley, J. T. (2016). Deep patient: An unsupervised representation to predict the future of patients from the electronic health records. Scientific Reports, *6*(1), 26094. 12. Rajkomar, A., Oren, E., Chen, K., Dai, A. M., Hajaj, N., Hardt, M., Liu, P. J., Liu, X., Marcus, J., Sun, M., Sundberg, P., Yee, H., Zhang, K., Zhang, Y., Flores, G., Duggan, G. E., Irvine, J., Le, Q., & Litsch, K. (2018). Scalable and accurate deep learning with electronic health records. NPJ Digital Medicine, *1*(1), 18. 13. Shickel, B., Tighe, P. J., Bihorac, A., & Rashidi, P. (2018). Deep EHR: A survey of recent advances in deep learning techniques for electronic health record (EHR) analysis. IEEE Journal of Biomedical and Health Informatics, *22*(5), 1589–1604. 14. Tonekaboni, S., Joshi, S., McCradden, M. D., & Goldenberg, A. (2019). What clinicians want: Contextualizing explainable machine learning for clinical end use. In Proceedings of the 4th Machine Learning for Healthcare Conference (pp. 359–380). PMLR. 15. Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., & Polosukhin, I. (2017). Attention is all you need. In Advances in Neural Information Processing Systems 30 (pp. 5998–6008). 16. Wang, S., McDermott, M. B. A., Chauhan, G., Ghassemi, M., Hughes, M. C., & Naumann, T. (2020). MIMIC-Extract: A data extraction, preprocessing, and representation pipeline for MIMIC-III. In Proceedings of the ACM Conference on Health, Inference, and Learning (pp. 222–235). 17. Yoon, J., Zame, W. R., & van der Schaar, M. (2018). Deep sensing: Active sensing using deep learning. IEEE Transactions on Signal Processing, *66*(19), 5078–5092

Authors: Billy, Elly

FlinkMan : Anomaly Detection in Manufacturing Equipment with Apache Flink : Grand Challenge

Authors: Busnel, Yann Riveei, Nicolo Gal, Avigdor et al.

Contributors: Busnel, Yann Riveei, Nicolo Gal, Avigdor et al.

Source: DEBS '17 : 11th ACM International Conference on Distributed and Event-based Systems ; https://hal.science/hal-01644417 ; DEBS '17 : 11th ACM International Conference on Distributed and Event-based Systems, Jun 2017, Barcelone, Spain. pp.274-279 ⟨10.1145/3093742.3095099⟩

Subject Terms: Markov Chains, Clustering, Linked-Data, Stream Processing, Anomaly Detection, ACM: C.: Computer Systems Organization/C.1: PROCESSOR ARCHITECTURES/C.1.2: Multiple Data Stream Architectures (Multiprocessors), ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.4: Systems and Software/H.3.4.1: Distributed systems, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT]

Subject Geographic: Spain

Time: Barcelone, Spain

Availability: https://hal.science/hal-01644417
https://hal.science/hal-01644417v1/document
https://hal.science/hal-01644417v1/file/main.pdf
https://doi.org/10.1145/3093742.3095099

Universal Constructions that Ensure Disjoint-Access Parallelism and Wait-Freedom

Authors: Ellen, Faith Fatourou, Panagiota Kosmas, Eleftherios et al.

Contributors: Ellen, Faith Fatourou, Panagiota Kosmas, Eleftherios et al.

Source: https://inria.hal.science/hal-00697198 ; [Research Report] 2012.

Subject Terms: ACM: E.: Data/E.1: DATA STRUCTURES, ACM: D.: Software/D.1: PROGRAMMING TECHNIQUES/D.1.3: Concurrent Programming, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]

Availability: https://inria.hal.science/hal-00697198
https://inria.hal.science/hal-00697198v2/document
https://inria.hal.science/hal-00697198v2/file/dap-main.pdf

t 2010 A Data Lineage Model for Distributed Sub-image Processing. J. Mwebaze, J. McFarland, D. Boxhoorn, E. Valentijn SAICSIT '10, Proceedings of the 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists. pp. 209-219, ACM, New York, NY, USA (2010)

Authors: Valentijn, E Mwebaze, Johnson Mc Farland, John et al.

Access URL: https://research.rug.nl/en/publications/6f5eebe9-41d4-4e51-96c2-19c2837f85e6
https://hdl.handle.net/11370/6f5eebe9-41d4-4e51-96c2-19c2837f85e6

Proceedings of the ACM on Management of Data / Scalable Distributed Inverted List Indexes in Disaggregated Memory

Authors: Widmoser, Manuel Kocher, Daniel Augsten, Nikolaus

Subject Terms: Disaggregated Memory, Inverted Index, RDMA, Data structures, Parallel and distributed DBMSs, Network protocols

Subject Geographic: PLUS:DAW:INF

File Description: text/html

Relation: vignette : https://eplus.uni-salzburg.at/titlepage/urn/urn:nbn:at:at-ubs:3-32281/128; local:99148054204903331; system:AC17149921

Availability: https://doi.org/10.1145/3654974
https://eplus.uni-salzburg.at/doi/10.1145/3654974
https://resolver.obvsg.at/urn:nbn:at:at-ubs:3-32281

Compact and localized distributed data structures.

Authors: Gavoille, Cyril Peleg, David

Source: Distributed Computing; Sep2003, Vol. 16 Issue 2/3, p111-120, 10p

Subject Terms: DATA structures, DISTRIBUTED computing, COMPUTER storage devices, INFORMATION science, COMBINATORIAL optimization, ALGORITHMS

Skip-webs: Efficient distributed data structures for multi-dimensional data sets

Authors: Arge, Lars Eppstein, David Goodrich, Michael T. et al.

Contributors: Arge, Lars Eppstein, David Goodrich, Michael T. et al.

Source: Arge, L, Eppstein, D & Goodrich, M T 2005, Skip-webs: Efficient distributed data structures for multi-dimensional data sets. in M Aguilera & J Aspners (eds), Proceedings of 24th ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing. Association for Computing Machinery, pp. 69-76, ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing. PODS'05, Las Vegas, United States, 17/07/2005. https://doi.org/10.1145/1073814.1073827

Subject Terms: distributed data structures, octrees, peer-to-peer networks, quadtrees, skip lists, trapezoidal maps, ties

Availability: https://pure.au.dk/portal/en/publications/958056f0-e886-11dc-9afb-000ea68e967b
https://doi.org/10.1145/1073814.1073827

An asynchronous, decentralised commitment protocol for semantic optimistic replication

Authors: Sutra, Pierre Shapiro, Marc Barreto, Joao et al.

Contributors: Sutra, Pierre Shapiro, Marc Barreto, Joao et al.

Source: https://inria.hal.science/inria-00120734 ; [Research Report] RR-6069, INRIA. 2006, pp.21.

Subject Terms: voting protocols, data replication, optimistic replication, semantic, replication, commitment, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.1: Process Management/D.4.1.5: Synchronization, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.7: Organization and Design/D.4.7.1: Distributed systems, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.4: Systems/H.2.4.1: Distributed databases, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-MC]Computer Science [cs]/Mobile Computing, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/cs/0612086; ARXIV: cs/0612086

Availability: https://inria.hal.science/inria-00120734
https://inria.hal.science/inria-00120734v3/document
https://inria.hal.science/inria-00120734v3/file/squelette-rr.pdf

A Survey of Distributed Graph Algorithms on Massive Graphs.

Authors: Meng, Lingkai Shao, Yu Yuan, Long et al.

Source: ACM Computing Surveys; Feb2025, Vol. 57 Issue 2, p1-39, 39p

Subject Terms: DATA structures, RANDOM numbers, DISTRIBUTED computing, GRAPH theory, COMPUTER science, GRAPH algorithms, MACHINE-to-machine communications

Brief announcement: Distributed Online Data Aggregation in Dynamic Graphs

Authors: Bramas, Quentin Masuzawa, Toshimitsu Tixeuil, Sébastien et al.

Contributors: Bramas, Quentin Masuzawa, Toshimitsu Tixeuil, Sébastien et al.

Source: IEEE Conference on Distributed Computing Systems (ICDCS 2016) ; https://hal.sorbonne-universite.fr/hal-01349094 ; IEEE Conference on Distributed Computing Systems (ICDCS 2016), Jun 2016, Nara, Japan. IEEE, pp.747-748, ⟨10.1109/ICDCS.2016.55⟩

Subject Terms: ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]

Subject Geographic: Nara, Japan

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1602.01065; ARXIV: 1602.01065

Availability: https://hal.sorbonne-universite.fr/hal-01349094
https://doi.org/10.1109/ICDCS.2016.55

Continuous Monitoring of Distributed Data Streams over a Time-based Sliding Window

Authors: Chan, Ho-Leung Lam, Tak-Wah Lee, Lap-Kei et al.

Contributors: Chan, Ho-Leung Lam, Tak-Wah Lee, Lap-Kei et al.

Source: 27th International Symposium on Theoretical Aspects of Computer Science - STACS 2010
https://hal.inria.fr/inria-00456120
27th International Symposium on Theoretical Aspects of Computer Science - STACS 2010, Inria Nancy Grand Est & Loria, Mar 2010, Nancy, France. pp.179-190

Subject Terms: Algorithms, distributed data streams, communication efficiency, frequent items, ACM: F.: Theory of Computation/F.2: ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY/F.2.2: Nonnumerical Algorithms and Problems, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]

Subject Geographic: Nancy, France

Relation: inria-00456120; https://hal.inria.fr/inria-00456120; https://hal.inria.fr/inria-00456120/document; https://hal.inria.fr/inria-00456120/file/chan.pdf

Availability: https://hal.inria.fr/inria-00456120
https://hal.inria.fr/inria-00456120/document
https://hal.inria.fr/inria-00456120/file/chan.pdf

Incremental Proof-Based Development for Resilient Distributed Systems

Authors: Andriamiarina, Manamiary Bruno Méry, Dominique Singh, Neeraj Kumar et al.

Contributors: Andriamiarina, Manamiary Bruno Méry, Dominique Singh, Neeraj Kumar et al.

Subject Terms: distributed systems, [INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO], [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE], [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO], ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.0: General, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], ACM: F.: Theory of Computation/F.3: LOGICS AND MEANINGS OF PROGRAMS, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL], formal method, CPS, resilience, [INFO.INFO-FL] Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]

Access URL: https://hal.science/hal-01246669v1

Optimal Mobile Byzantine Fault Tolerant Distributed Storage

Authors: Bonomi, Silvia del Pozzo, Antonella Potop-Butucaru, Maria et al.

Contributors: Bonomi, Silvia del Pozzo, Antonella Potop-Butucaru, Maria et al.

Source: ACM Conference on Principles of Distributed Computing (PODC) ; https://hal.sorbonne-universite.fr/hal-01349064 ; ACM Conference on Principles of Distributed Computing (PODC), ACM, Jul 2016, Chicago, United States ; http://www.podc.org/podc2016/

Subject Terms: ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.1: Network Architecture and Design, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.2: Network Protocols, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.4: Distributed Systems, ACM: F.: Theory of Computation/F.2: ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]

Subject Geographic: Chicago, United States

Availability: https://hal.sorbonne-universite.fr/hal-01349064

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

"Virtual Memories" and "File Structures" Topics for Upcoming ACM Professional Development Seminars.

Authors: Adams, J. M.

Source: Communications of the ACM; Jul1967, Vol. 10 Issue 7, p461-461, 1/3p

Subject Terms: SEMINARS, COMPUTER storage devices, ELECTRONIC data processing, COMPUTER assisted instruction, VIRTUAL storage (Computer science), COMPUTER software

Geographic Terms: UNITED States