Search Results - ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.2: Storage Management

EnosLib: A Library for Experiment-Driven Research in Distributed Computing

Authors: Cherrueau, Ronan-Alexandre Delavergne, Marie van Kempen, Alexandre et al.

Contributors: Cherrueau, Ronan-Alexandre Delavergne, Marie van Kempen, Alexandre et al.

Source: ISSN: 1045-9219 ; IEEE Transactions on Parallel and Distributed Systems ; https://inria.hal.science/hal-03324177 ; IEEE Transactions on Parallel and Distributed Systems, 2022, 33 (6), pp.1464-1477. ⟨10.1109/TPDS.2021.3111159⟩.

Subject Terms: Distributed computing experimentation library, Performance evaluation, Experiment-driven research, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.5: Testing and Debugging, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.8: Metrics/D.2.8.1: Performance measures, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.7: Organization and Design/D.4.7.1: Distributed systems, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.4: Systems and Software/H.3.4.3: Performance evaluation (efficiency and effectiveness), ACM: K.: Computing Milieux/K.6: MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS/K.6.2: Installation Management/K.6.2.3: Performance and usage measurement, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]

Availability: https://inria.hal.science/hal-03324177
https://inria.hal.science/hal-03324177v1/document
https://inria.hal.science/hal-03324177v1/file/tpds-enoslib-preprint.pdf
https://doi.org/10.1109/TPDS.2021.3111159

A versatile STM protocol with invisible read operations that satisfies the virtual world consistency condition

Authors: Imbs, Damien Raynal, Michel As Scalable As Possible: foundations of large scale dynamic distributed systems (ASAP) et al.

Contributors: Imbs, Damien Raynal, Michel As Scalable As Possible: foundations of large scale dynamic distributed systems (ASAP) et al.

Source: https://inria.hal.science/inria-00362844 ; [Research Report] PI 1923, 2009, pp.23.

Subject Terms: Atomic object, Causal past, Commit/abort, Concurrency control, Consistency condition, Consistent global state, Lock, Read-from relation, Regular Read/write object, Serializability, Shared memory, Software transactional memory, Vector clock, Transaction, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.2: Storage Management, [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF], [INFO.INFO-OS]Computer Science [cs]/Operating Systems [cs.OS]

Relation: Report N°: PI 1923

Availability: https://inria.hal.science/inria-00362844
https://inria.hal.science/inria-00362844/document
https://inria.hal.science/inria-00362844/file/PI-1923.pdf

Papers from the Third ACM Symposium on Operating Systems Principles.

Authors: Denning, Peter J. Randell, Brian

Source: Communications of the ACM; Mar1972, Vol. 15 Issue 3, p133-134, 2p

Subject Terms: COMPUTER operating systems, RESEARCH, CONFERENCES & conventions, COMPUTER software, SYSTEMS software

Company/Entity: ASSOCIATION for Computing Machinery

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: https://hal.sorbonne-universite.fr/hal-01348830 ; [Research Report] UPMC - Université Paris 6 Pierre et Marie Curie. 2016.

Subject Terms: ACM: F.: Theory of Computation/F.2: ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY/F.2.2: Nonnumerical Algorithms and Problems/F.2.2.0: Complexity of proof procedures, ACM: F.: Theory of Computation/F.2: ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY/F.2.2: Nonnumerical Algorithms and Problems/F.2.2.1: Computations on discrete structures, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.5: Reliability/D.4.5.2: Fault-tolerance, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.6: Security and Protection/D.4.6.4: Invasive software (e.g., viruses, worms, Trojan horses), ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.4: Communications Management/D.4.4.3: Network communication, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.2: Storage Management, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]

Availability: https://hal.sorbonne-universite.fr/hal-01348830
https://hal.sorbonne-universite.fr/hal-01348830v2/document
https://hal.sorbonne-universite.fr/hal-01348830v2/file/mainTR.pdf

ADAPTIVE EXACT FIT STORAGE MANAGEMENT.

Authors: Oldehoeft, Rodney R. Allan, Stephen J.

Source: Communications of the ACM; May85, Vol. 28 Issue 5, p506-511, 6p

Subject Terms: COMPARATIVE studies, DYNAMIC storage allocation (Computer science), MEMORY maps (Computer science), COMPUTER operating systems, COMPUTER software, SYSTEMS software, COMPUTER systems, ELECTRONIC systems, RESEARCH

Optimizing the Block I/O Subsystem for Fast Storage Devices.

Authors: YOUNG JIN YU DONG IN SHIN WOONG SHIN et al.

Source: ACM Transactions on Computer Systems; Jun2014, Vol. 32 Issue 2, p6:1-6:48, 48p

Subject Terms: DATABASE management software, INTERNET servers, APPLICATION software, COMPUTER operating systems, DATA integration

BlobSeer: Bringing High Throughput under Heavy Concurrency to Hadoop Map-Reduce Applications

Authors: Nicolae, Bogdan Moise, Diana Antoniu, Gabriel et al.

Contributors: Nicolae, Bogdan Moise, Diana Antoniu, Gabriel et al.

Source: 24th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2010)
https://inria.hal.science/inria-00456801
24th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2010), IEEE and ACM, Apr 2010, Atlanta, United States. ⟨10.1109/IPDPS.2010.5470433⟩
http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5470433

Subject Terms: Large-scale distributed computing, Data-intensive, Map-Reduce-based application, Distributed file systems, High Throughput, Heavy access concurrency, Hadoop, BlobSeer, ACM: D.: Software/D.1: PROGRAMMING TECHNIQUES/D.1.3: Concurrent Programming/D.1.3.0: Distributed programming, ACM: E.: Data/E.5: FILES/E.5.2: Organization/structure, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.3: File Systems Management, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.2: Storage Management, [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]

Subject Geographic: Atlanta, United States

Availability: https://inria.hal.science/inria-00456801
https://inria.hal.science/inria-00456801v1/document
https://inria.hal.science/inria-00456801v1/file/PID1126243.pdf
https://doi.org/10.1109/IPDPS.2010.5470433

Storage-Based Intrusion Detection

Authors: Adam G. Pennington John Linwood Griffin John S. Bucy et al.

Contributors: Adam G. Pennington John Linwood Griffin John S. Bucy et al.

Source: http://www.pdl.cmu.edu/PDL-FTP/Storage/a30-pennington.pdf.

Subject Terms: Categories and Subject Descriptors, K.6.5 [Management of Computing and Information Systems, Security and Protection—Invasive software (e.g, viruses, worms, Trojan horses, unauthorized access (e.g. hacking, phreaking) General Terms, Security Additional Key Words and Phrases, Storage, intrusion detection ACM Reference Format

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.639.7658

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.639.7658
http://www.pdl.cmu.edu/PDL-FTP/Storage/a30-pennington.pdf

Energy-Efficient and High-Performance Software Architecture for Storage Class Memory.

Authors: BAEK, SEUNGJAE JONGMOO CHOI LEE, DONGHEE et al.

Source: ACM Transactions on Embedded Computing Systems; Mar2013, Vol. 12 Issue 3, p1-22, 22p

Subject Terms: ENERGY consumption, COMPUTER software, COMPUTER architecture, PERFORMANCE, COMPUTER storage devices, COMPUTER operating systems

SCMFS: A File System for Storage Class Memory and its Extensions.

Authors: XIAOJIAN WU SHENG QIU REDDY, A. L. NARASIMHA

Source: ACM Transactions on Storage; Aug2013, Vol. 9 Issue 3, p1-23, 23p

Subject Terms: COMPUTER systems, COMPUTER storage devices, COMPUTER interfaces, SYSTEMS design, COMPUTER operating systems, COMPUTER performance, ELECTRONIC file management

acm news.

Source: Communications of the ACM; Nov75, Vol. 18 Issue 11, p669-671, 3p

Subject Terms: CONSTITUTIONAL amendments, COMPUTER software development, ELECTRONIC systems, CONFERENCES & conventions, BALLOTS, AUDIOCASSETTES, DATABASES, STRUCTURED programming, VIRTUAL storage (Computer science)

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

Storage Optimization for Large-Scale Distributed Stream-Processing Systems.

Authors: Hildrum, Kirsten Douglis, Fred Wolf, Joel L. et al.

Source: ACM Transactions on Storage; 2008, Vol. 3 Issue 4, p1-28, 28p, 2 Diagrams, 10 Graphs

Subject Terms: COMPUTER operating systems, ELECTRONIC file management, INFORMATION storage & retrieval systems, ALGORITHMS, MATHEMATICAL optimization

Software Challenges for the Changing Storage Landscape.

Authors: WADDINGTON, DANIEL HARRIS, JIM

Source: Communications of the ACM; Nov2018, Vol. 61 Issue 11, p136-145, 10p, 1 Color Photograph, 5 Diagrams, 1 Chart, 5 Graphs

Subject Terms: DATA warehousing software, SOFTWARE architecture, COMPUTER memory management, KERNEL operating systems, NONVOLATILE memory

High-Performance Operating System Controlled Online Memory Compression.

Authors: YANG, LEI DICK, ROBERT P. LEKATSAS, HARIS et al.

Source: ACM Transactions on Embedded Computing Systems; Mar2010, Vol. 9 Issue 4, p30-30:28, 28p, 4 Diagrams, 3 Charts, 4 Graphs

Subject Terms: COMPUTER storage devices, COMPUTER memory management, VIRTUAL storage (Computer science), EMBEDDED computer systems, COMPUTER operating systems

A Nine Year Study of File System and Storage Benchmarking.

Authors: Traeger, Avishay Zadok, Erez Joukov, Nikolai et al.

Source: ACM Transactions on Storage; 2008, Vol. 4 Issue 2, p5-5:56, 56p, 5 Charts, 7 Graphs

Subject Terms: BENCHMARKING (Management), ELECTRONIC file management, INFORMATION storage & retrieval systems, CACHE memory, COMPUTER operating systems, PROGRAM transformation

Dynamic Atomic Storage Without Consensus

Authors: Marcos K. Aguilera Idit Keidar Dahlia Malkhi et al.

Contributors: Marcos K. Aguilera Idit Keidar Dahlia Malkhi et al.

Source: http://research.microsoft.com/en-us/people/aguilera/dynastore-jacm2011.pdf.

Subject Terms: Categories and Subject Descriptors, B.3.2 [Memory Structures, Design Styles—Shared memory, C.2.4 [Computer-Communication Networks, Distributed Systems—Distributed applications, D.4.2 [Operating Systems, Storage Management—Secondary storage, distributed memories, D.4.5 [Operating Systems, Reliability—Fault-tolerance, H.3.4 [Information Storage and Retrieval, Systems and Software— Distributed systems General Terms, Algorithms, Design, Reliability, Theory Additional Key Words and Phrases, Shared-memory emulations, dynamic systems, atomic storage ACM Reference Format

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.4548

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.4548
http://research.microsoft.com/en-us/people/aguilera/dynastore-jacm2011.pdf

Alg_OS-A web-based software tool to teach page replacement algorithms of operating systems to undergraduate students.

Authors: Garmpis, Aristogiannis

Source: Computer Applications in Engineering Education; Dec2013, Vol. 21 Issue 4, p581-585, 5p

Subject Terms: COMPUTER operating systems, UNDERGRADUATES, ALGORITHMS, COMPUTER science education, COMPUTER engineering education, HIGHER education, SOFTWARE development tools, COMPUTER storage devices, TEACHING aids -- Computer network resources, MANAGEMENT

Workload-Based Generation of Administrator Hints for Optimizing Database Storage Utilization.

Authors: Dutta, Kaushik Rangaswami, Raju Kundu, Sajib

Source: ACM Transactions on Storage; 2008, Vol. 3 Issue 4, p1-28, 28p, 4 Diagrams, 4 Charts, 6 Graphs

Subject Terms: COMPUTER operating systems, INFORMATION storage & retrieval systems, DATABASES, INFORMATION technology, DATABASE management

Optimizing Energy and Performance for Server-Class File System Workloads.

Authors: SEHGAL, PRIYA TARASOV, VASILY ZADOK, EREZ

Source: ACM Transactions on Storage; 2010, Vol. 6 Issue 3, p10-10:31, 31p, 1 Black and White Photograph, 6 Charts, 10 Graphs

Subject Terms: ELECTRONIC file management, ENERGY consumption, PERFORMANCE evaluation, COMPUTER software, COMPUTER operating systems, BENCHMARKING (Management), DATA libraries, INFORMATION storage & retrieval systems