Relevant bibliographies by topics / Computing Collaborative

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Computing Collaborative'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Computing Collaborative"

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Norman, Donald A. "Collaborative computing: collaboration first, computing second." Communications of the ACM 34, no. 12 (1991): 88–90. http://dx.doi.org/10.1145/125319.125398.

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Samsara, Ladiatno. "Tren publikasi collaborative governance sebuah analisis bibliometrik." Berkala Ilmu Perpustakaan dan Informasi 18, no. 2 (2022): 308–25. http://dx.doi.org/10.22146/bip.v18i2.5513.

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Introduction: This study aims to analyze publication trends related to collaborative governance indexed in Scopus database from first year of publication until June 2022.
 Data Collection Methods: Collaboratove Governance field journal articles published between 1977-2022 were searched from the scopus database using "Collaborative Governance” keyword.
 Data Analysis: This study uses an analysis of publication trends in collaborative governance, the most productive countries and the most productive organizations, Co-Authorship, Co- and Citation.
 Results and Discussion: Research
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Ciobanu, Radu-Ioan, Catalin Negru, Florin Pop, Ciprian Dobre, Constandinos X. Mavromoustakis, and George Mastorakis. "Drop computing: Ad-hoc dynamic collaborative computing." Future Generation Computer Systems 92 (March 2019): 889–99. http://dx.doi.org/10.1016/j.future.2017.11.044.

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McCray, Alexa, and Jan H. van Bemmel. "Computing and Collaborative Care." Yearbook of Medical Informatics 06, no. 01 (1997): 4–5. http://dx.doi.org/10.1055/s-0038-1637877.

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Shen, Weiming, Yinsheng Li, and Anne James. "Collaborative computing and applications." Journal of Network and Computer Applications 35, no. 1 (2012): 1–2. http://dx.doi.org/10.1016/j.jnca.2011.06.012.

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Schooler, Eve M. "Conferencing and collaborative computing." Multimedia Systems 4, no. 5 (1996): 210–25. http://dx.doi.org/10.1007/s005300050025.

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Shen, Weiming, Weidong Li, José A. Pino, and Junzhou Luo. "Collaborative Computing and Applications." JUCS - Journal of Universal Computer Science 20, no. (13) (2014): 1708–11. https://doi.org/10.3217/jucs-020-13.

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Israel, Maya, Quentin M. Wherfel, Saadeddine Shehab, Evan A. Ramos, Adam Metzger, and George C. Reese. "Assessing collaborative computing: development of the Collaborative-Computing Observation Instrument (C-COI)." Computer Science Education 26, no. 2-3 (2016): 208–33. http://dx.doi.org/10.1080/08993408.2016.1231784.

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Sharma, Deepika, and Vikas Kumar. "A Framework for Collaborative and Convenient Learning on Cloud Computing Platforms." International Journal of Web-Based Learning and Teaching Technologies 12, no. 2 (2017): 1–20. http://dx.doi.org/10.4018/ijwltt.2017040101.

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The depth of learning resides in collaborative work with more engagement and fun. Technology can enhance collaboration with a higher level of convenience and cloud computing can facilitate this in a cost effective and scalable manner. However, to deploy a successful online learning environment, elementary components of learning pedagogy must be embedded in the technology framework. A cloud computing technology based learning platform built on the proven learning pedagogies will be most successful attempt to facilitate collaborative and convenient learning. Such platform will support the learne
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Souza, Débora, Gabriele Iwashima, Viviane Cunha Farias da Costa, Carlos Eduardo Barbosa, Jano Moreira de Souza, and Geraldo Zimbrão. "Architectural Trends in Collaborative Computing: Approaches in the Internet of Everything Era." Future Internet 16, no. 12 (2024): 445. http://dx.doi.org/10.3390/fi16120445.

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The majority of the global population now resides in cities, and this trend continues to grow. In this context, the Internet of Things (IoT) is crucial in transforming existing urban areas into Smart Cities. However, IoT architectures mainly focus on machine-to-machine interactions, leaving human involvement aside. The Internet of Everything (IoE) includes human-to-human and human–machine collaboration, but the specifics of these interactions are still under-explored. As urban populations grow and IoT integrates into city infrastructure, efficient, collaborative architectures become crucial. I
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Dissertations / Theses on the topic "Computing Collaborative"

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Chen, Hsinchun, Jay F. Nunamaker, Richard E. Orwig, and Olga Titkova. "Information Visualization for Collaborative Computing." IEEE, 1998. http://hdl.handle.net/10150/105495.

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Artificial Intelligence Lab, Department of MIS, University of Arizona<br>A prototype tool classifies output from an electronic meeting system into a manageable list of concepts, topics, or issues that a group can further evaluate. In an experiment with output from GroupSystems electronic meeting system, the tool's recall ability was comparable to that of a human facilitator, but took roughly a sixth of the time.
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Khalifa, Ahmed Abdelmonem Abuelfotooh Ali. "Collaborative Computing Cloud: Architecture and Management Platform." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/72866.

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We are witnessing exponential growth in the number of powerful, multiply-connected, energy-rich stationary and mobile nodes, which will make available a massive pool of computing and communication resources. We claim that cloud computing can provide resilient on-demand computing, and more effective and efficient utilization of potentially infinite array of resources. Current cloud computing systems are primarily built using stationary resources. Recently, principles of cloud computing have been extended to the mobile computing domain aiming to form local clouds using mobile devices sharing the
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Yang, Seokwon. "Security and trust management in collaborative computing." [Gainesville, Fla.] : University of Florida, 2003. http://purl.fcla.edu/fcla/etd/UFE0002375.

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Hamadache, Kahina. "Smart & Seamless Collaboration : bringing pervasive computing to the Computer Supported Collaborative Work." Thesis, Lille 1, 2011. http://www.theses.fr/2011LIL10032/document.

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Ces travaux de thèse apportent une contribution aux domaines de l’informatique pervasive et du travail collaboratif assisté par ordinateur. Nous explorons ces domaines par une présentation étendue de différents travaux se rapportant aux modèles de collaboration, aux différentes conceptions ainsi qu’aux méthodes d’évaluation. Notre principale contribution pour ces domaines est le modèle PCSCW, qui propose une approche originale pour l’intégration de l’aspect pervasif au sein de la collaboration. En se basant sur un modèle ontologique représentant le contexte des utilisateurs ainsi que sur un en
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Buszko, Dominik. "A lightweight collaborative API for ad-hoc mobile computing." [Florida] : State University System of Florida, 2000. http://etd.fcla.edu/etd/uf/2000/ane5875/edt5.pdf.

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Thesis (M.S.)--University of Florida, 2000.<br>Title from first page of PDF file. Document formatted into pages; contains x, 92 p.; also contains graphics. Vita. Includes bibliographical references (p. 88-91).
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Almeida, Thiago Rodrigues Meira de. "A collaborative architecture agianst DDOS attacks for cloud computing systems." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-25032019-114624/.

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Distributed attacks, such as Distributed Denial of Service (DDoS) ones, require not only the deployment of standalone security mechanisms responsible for monitoring a limited portion of the network, but also distributed mechanisms which are able to jointly detect and mitigate the attack before the complete exhaustion of network resources. This need led to the proposal of several collaborative security mechanisms, covering different phases of the attack mitigation: from its detection to the relief of the system after the attack subsides. It is expected that such mechanisms enable the collaborat
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Kao, Yi-Hsuan. "Optimizing task assignment for collaborative computing over heterogeneous network devices." Thesis, University of Southern California, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10124490.

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<p> The Internet of Things promises to enable a wide range of new applications involving sensors, embedded devices and mobile devices. Different from traditional cloud computing, where the centralized and powerful servers offer high quality computing service, in the era of the Internet of Things, there are abundant computational resources distributed over the network. These devices are not as powerful as servers, but are easier to access with faster setup and short-range communication. However, because of energy, computation, and bandwidth constraints on smart things and other edge devices, it
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Lejk, Mark. "Group assessment on undergraduate computing courses in higher education in the UK." Thesis, University of Sunderland, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302525.

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Wilson, Dany. "Architecture for a Fully Decentralized Peer-to-Peer Collaborative Computing Platform." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32790.

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We present an architecture for a fully decentralized peer-to-peer collaborative computing platform, offering services similar to Cloud Service Provider’s Platform-as-a-Service (PaaS) model, using volunteered resources rather than dedicated resources. This thesis is motivated by three research questions: (1) Is it possible to build a peer-to-peer col- laborative system using a fully decentralized infrastructure relying only on volunteered resources?, (2) How can light virtualization be used to mitigate the complexity inherent to the volunteered resources?, and (3) What are the minimal requireme
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Toumlilt, Ilyas. "Colony : a Hybrid Consistency System for Highly-Available Collaborative Edge Computing." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS447.

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La distribution et la réplication des données en périphérie du réseau apportent une réponse immédiate, une autonomie et une disponibilité aux applications de périphérie, telles que les jeux, l’ingénierie coopérative ou le partage d’informations sur le terrain. Cependant, les développeurs d’applications et les utilisateurs exigent les meilleures garanties de cohérence possibles, ainsi qu’un support spécifique pour la collaboration de groupe. Pour relever ce défi, Colony garantit la cohérence Transactional Causal Plus Consistency (TCC+) à échelle planétaire, en complément de l’isolation des inst
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Books on the topic "Computing Collaborative"

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Hinchey, Mike, Anastasia Pagnoni, Franz J. Rammig, and Hartmut Schmeck, eds. Biologically-Inspired Collaborative Computing. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-09655-1.

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Callan, James R. Collaborative computing with Delphi 3. Wordware Pub., 1998.

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Zou, Xukai. Trust and security in collaborative computing. World Scientific, 2008.

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Gao, Honghao, and Xinheng Wang, eds. Collaborative Computing: Networking, Applications and Worksharing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92638-0.

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Gao, Honghao, and Xinheng Wang, eds. Collaborative Computing: Networking, Applications and Worksharing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92635-9.

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Romdhani, Imed, Lei Shu, Hara Takahiro, Zhangbing Zhou, Timothy Gordon, and Deze Zeng, eds. Collaborative Computing: Networking, Applications and Worksharing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00916-8.

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Bertino, Elisa, and James B. D. Joshi, eds. Collaborative Computing: Networking, Applications and Worksharing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03354-4.

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Guo, Song, Xiaofei Liao, Fangming Liu, and Yanmin Zhu, eds. Collaborative Computing: Networking, Applications, and Worksharing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28910-6.

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Wang, Xinheng, Honghao Gao, Muddesar Iqbal, and Geyong Min, eds. Collaborative Computing: Networking, Applications and Worksharing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30146-0.

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Gao, Honghao, Xinheng Wang, Yuyu Yin, and Muddesar Iqbal, eds. Collaborative Computing: Networking, Applications and Worksharing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12981-1.

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Book chapters on the topic "Computing Collaborative"

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Robbins, Wayne, and Schahram Dustdar. "Collaborative Computing." In Encyclopedia of Multimedia. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78414-4_223.

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Li, Kangle, Longjun Gu, Hongwei Cai, and Feng Guo. "Organoid Computing: Leveraging Organoid Neural Networks for Artificial Intelligence." In Collaborative Bioethics. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-72371-1_12.

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Ren, Jianji, Haichao Wang, and Xiaohong Zhang. "Adaptive Collaborative Computing in Edge Computing Environment." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63941-9_12.

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Atallah, Mikhail J. "Security Issues in Collaborative Computing." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11809678_2.

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Atallah, Mikhail. "Data Confidentiality in Collaborative Computing." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11602569_1.

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Alexandrov, Nia, J. S. Pascoe, and Vassil Alexandrov. "Collaborative Computing and E-learning." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46080-2_73.

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Bargiela, Andrzej, and Witold Pedrycz. "Networking of Granular Worlds: Collaborative Clustering." In Granular Computing. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-1033-8_12.

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El-Sofany, Hosam F., and Samir A. El-Seoud. "Studying Security of Data in Cloud Computing Through Cryptographic Approach." In Interactive Collaborative Learning. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50340-0_38.

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Li, Xue, Xiaolei Zhang, and Zhixin Sun. "Improved Collaborative Filtering Algorithm (ICF)." In Intelligent Computing Methodologies. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42297-8_55.

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Qiao, Yixuan, Shoumei Li, and Thierry Denœux. "Collaborative Evidential Clustering." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21920-8_46.

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Conference papers on the topic "Computing Collaborative"

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Ji, Yuejie, Heli Zhang, and Zihao Fu. "Collaborative Perception and Collaborative Computing for Value Maximization in Smart Grid." In 2024 10th International Conference on Computer and Communications (ICCC). IEEE, 2024. https://doi.org/10.1109/iccc62609.2024.10941958.

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He, Xingqiu, Chaoqun You, and Tony Q. S. Quek. "Exploiting Storage for Computing: Computation Reuse in Collaborative Edge Computing." In IEEE INFOCOM 2024 - IEEE Conference on Computer Communications. IEEE, 2024. http://dx.doi.org/10.1109/infocom52122.2024.10621100.

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Ashby, Iryna, Deepti Tagare, Cassandra Thomas, and Marisa Exter. "Collaborative Synergy: Enhancing Face-to-Face Computing Courses." In 2024 IEEE Frontiers in Education Conference (FIE). IEEE, 2024. https://doi.org/10.1109/fie61694.2024.10893586.

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Li, Kai, Huiying Sang, Yan Liu, et al. "Computing and Spectrum Resource Collaborative Allocation Strategy in Computing Power Optical Networks." In 2024 22nd International Conference on Optical Communications and Networks (ICOCN). IEEE, 2024. http://dx.doi.org/10.1109/icocn63276.2024.10648348.

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Hao, Ming C., Alan H. Karp, and Daniel Garfinkel. "Collaborative computing." In conference. ACM Press, 1995. http://dx.doi.org/10.1145/224019.224040.

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Fu, Zhongyi, and Young Choon Lee. "Collaborative Distributed Computing." In UbiComp '18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 2018. http://dx.doi.org/10.1145/3267305.3267608.

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Cruz, Nuno. "Mobile collaborative cloudless computing." In 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS). IEEE, 2014. http://dx.doi.org/10.1109/percomw.2014.6815196.

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Sunderam, V., S. Y. Cheung, M. Hirsch, et al. "CCF: Collaborative Computing Frameworks." In SC98 - High Performance Networking and Computing Conference. IEEE, 1998. http://dx.doi.org/10.1109/sc.1998.10040.

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"SUPPORTING ASYNCHRONOUS COLLABORATIVE EDITING IN MOBILE COMPUTING ENVIRONMENTS." In Computer Supported Collaborative Editing. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002406403430350.

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ZHANG, Wenxiao, Huber Flores, and Pan HUI. "Towards collaborative multi-device computing." In 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE, 2018. http://dx.doi.org/10.1109/percomw.2018.8480262.

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Reports on the topic "Computing Collaborative"

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Perich, Filip, Anupam Joshi, Yelena Yesha, and Tim Finin. Collaborative Joins in a Pervasive Computing Environment. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada440602.

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Dommel, H.-Peter, and J. J. Garcia-Luna-Aceves. Networking Foundations for Collaborative Computing at Internet Scope. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada457900.

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Flechas, Maria, Garhan Attebury, Kenneth Bloom, et al. Collaborative Computing Support for Analysis Facilities Exploiting Software as Infrastructure Techniques. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1863015.

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Cameron-Smith, P., K. Caldeira, J. Taylor, and J. Lamarque. Contribution to: SciDAC Progess Report - Collaborative Design and Development of the Community Climate System Model for Terascale Computing. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/15013759.

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Malony, Allen D. Collaborative Research: Performance Retargeting of Instrumentation, Measurement, and Analysis Technologies for Exascale Computing: the PRIMA-X Project -- Final Technical Report. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1497411.

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Pasupuleti, Murali Krishna. AI-Driven Automation: Transforming Industry 5.0 withMachine Learning and Advanced Technologies. National Education Services, 2025. https://doi.org/10.62311/nesx/rr225.

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Abstract: This article delves into the transformative role of artificial intelligence (AI) and machine learning (ML) in shaping Industry 5.0, a paradigm centered on human- machine collaboration, sustainability, and resilient industrial ecosystems. Beginning with the evolution from Industry 4.0 to Industry 5.0, it examines core AI technologies, including predictive analytics, natural language processing, and computer vision, which drive advancements in manufacturing, quality control, and adaptive logistics. Key discussions include the integration of collaborative robots (cobots) that enhance hu
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Chang, Michael Alan, Alejandra Magana, Bedrich Benes, Dominic Kao, and Judith Fusco. Driving Interdisciplinary Collaboration through Adapted Conjecture Mapping: A Case Study with the PECAS Mediator. Digital Promise, 2022. http://dx.doi.org/10.51388/20.500.12265/156.

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In this report, we demonstrate how an interdisciplinary team of computer science and learning sciences researchers utilize an adapted conjecture mapping tool during a collaborative problem-solving session. The session is documented through an edited “Dialogue” format, which captures the process of conjecture map construction and subsequent reflection. We find that creating the conjecture map collaboratively surfaces a key tension: while learning sciences theory often highlights the nuanced and complex relational nature of learning, even the most cutting-edge computing techniques struggle to di
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Pasupuleti, Murali Krishna. AI in Global Strategy: Harnessing Game Theory and Reinforcement Learning for Diplomatic Innovation. National Education Services, 2025. https://doi.org/10.62311/nesx/rr125.

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Abstract: This article explores the integration of game theory and reinforcement learning (RL) in the context of global diplomacy, emphasizing the transformative potential of strategic AI in international relations. It provides an in-depth analysis of how game theory principles, such as Nash equilibrium and cooperative strategies, are leveraged by AI to model and optimize diplomatic interactions. The Article explains how reinforcement learning enables AI systems to learn and adapt strategies over time, improving their effectiveness in negotiation and conflict resolution. Through case studies a
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Prado, Yenda, Sophia Ouyang, Camille Ferguson, et al. Unveiling the Value of Exploration: Insights from NSF-Funded Research on Emerging Technologies for Teaching and Learning. Digital Promise, 2024. http://dx.doi.org/10.51388/20.500.12265/230.

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This report investigates how interdisciplinary, exploratory projects contribute to the National Science Foundation’s (NSF) mission of building scientific knowledge and translating research into practice. The Center for Integrative Research in Computing and Learning Sciences (CIRCLS) examined the overall portfolio and interviewed PIs funded by NSF across five key topics: Artificial Intelligence, Virtual and Augmented Reality, Collaborative Learning, Accessibility and Learning, and Simulations. In total, 208 projects between 2017 and 2024 were analyzed to characterize the value of interdisciplin
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Pasupuleti, Murali Krishna. Augmented Human Intelligence: Converging Generative AI, Quantum Computing, and XR for Enhanced Human-Machine Synergy. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv525.

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Abstract: Augmented Human Intelligence (AHI) represents a paradigm shift in human-AI collaboration, leveraging Generative AI, Quantum Computing, and Extended Reality (XR) to enhance cognitive capabilities, decision-making, and immersive interactions. Generative AI enables real-time knowledge augmentation, automated creativity, and adaptive learning, while Quantum Computing accelerates AI optimization, pattern recognition, and complex problem-solving. XR technologies provide intuitive, immersive environments for AI-driven collaboration, bridging the gap between digital and physical experiences.
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