Relevant bibliographies by topics / Autonomic computing

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

Academic literature on the topic 'Autonomic computing'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Autonomic computing"

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Salehie, Mazeiar, and Ladan Tahvildari. "Autonomic computing." ACM SIGSOFT Software Engineering Notes 30, no. 4 (2005): 1–7. http://dx.doi.org/10.1145/1082983.1083082.

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Sterritt, Roy. "Autonomic computing." Innovations in Systems and Software Engineering 1, no. 1 (2005): 79–88. http://dx.doi.org/10.1007/s11334-005-0001-5.

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CH, Bilal Hussain. "Cloud Intrusion and Autonomic Management in Autonomic Cloud Computing." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (2018): 28–32. http://dx.doi.org/10.31142/ijtsrd18378.

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Ramdane-Cherif, Amar. "Toward Autonomic Computing." International Journal of Cognitive Informatics and Natural Intelligence 1, no. 2 (2007): 16–33. http://dx.doi.org/10.4018/jcini.2007040102.

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Bantz, D. F., C. Bisdikian, D. Challener, et al. "Autonomic personal computing." IBM Systems Journal 42, no. 1 (2003): 165–76. http://dx.doi.org/10.1147/sj.421.0165.

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Cong Vinh, Phan. "Algebraically Autonomic Computing." Mobile Networks and Applications 21, no. 1 (2015): 3–9. http://dx.doi.org/10.1007/s11036-015-0615-2.

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Bilal, Hussain CH. "Cloud Intrusion and Autonomic Management in Autonomic Cloud Computing." International Journal of Trend in Scientific Research and Development 2, no. 6 (2018): 28–32. https://doi.org/10.31142/ijtsrd18378.

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Autonomic cloud emerge as a result of emerging four properties of autonomic computing in cloud that are self healing, self monitoring, self repairing and self optimization. We have defined a methodology to improve the security in cloud computing and also defined a methodology that can ensure the autonomic management in autonomic cloud computing. We have selected 1 of the 7 properties of the autonomic cloud computing that is autonomic management. Our main focus is on the security enhancement and avoidance of cloud intrusion in autonomic cloud computing. Bilal Hussain CH "Cloud Intrusion an
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Chess, David M. "Security in autonomic computing." ACM SIGARCH Computer Architecture News 33, no. 1 (2005): 2–5. http://dx.doi.org/10.1145/1055626.1055628.

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TIANFIELD, H., and R. UNLAND. "Towards autonomic computing systems." Engineering Applications of Artificial Intelligence 17, no. 7 (2004): 689–99. http://dx.doi.org/10.1016/s0952-1976(04)00113-7.

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Hariri, Salim, Bithika Khargharia, Houping Chen, et al. "The Autonomic Computing Paradigm." Cluster Computing 9, no. 1 (2006): 5–17. http://dx.doi.org/10.1007/s10586-006-4893-0.

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Dissertations / Theses on the topic "Autonomic computing"

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Furrer, Frank J., and Georg Püschel. "From Algorithmic Computing to Autonomic Computing." Technische Universität Dresden, 2018. https://tud.qucosa.de/id/qucosa%3A30773.

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In algorithmic computing, the program follows a predefined set of rules – the algorithm. The analyst/designer of the program analyzes the intended tasks of the program, defines the rules for its expected behaviour and programs the implementation. The creators of algorithmic software must therefore foresee, identify and implement all possible cases for its behaviour in the future application! However, what if the problem is not fully defined? Or the environment is uncertain? What if situations are too complex to be predicted? Or the environment is changing dynamically? In many such cases algor
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Azzam, Adel R. "Survey of Autonomic Computing and Experiments on JMX-based Autonomic Features." ScholarWorks@UNO, 2016. http://scholarworks.uno.edu/td/2123.

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Autonomic Computing (AC) aims at solving the problem of managing the rapidly-growing complexity of Information Technology systems, by creating self-managing systems. In this thesis, we have surveyed the progress of the AC field, and studied the requirements, models and architectures of AC. The commonly recognized AC requirements are four properties - self-configuring, self-healing, self-optimizing, and self-protecting. The recommended software architecture is the MAPE-K model containing four modules, namely - monitor, analyze, plan and execute, as well as the knowledge repository. In the moder
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Scogland, Thomas R. "Runtime Adaptation for Autonomic Heterogeneous Computing." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/71315.

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Heterogeneity is increasing across all levels of computing, with the rise of accelerators such as GPUs, FPGAs, and other coprocessors into everything from cell phones to supercomputers. More quietly it is increasing with the rise of NUMA systems, hierarchical caching, OS noise, and a myriad of other factors. As heterogeneity becomes a fact of life, efficiently managing heterogeneous compute resources is becoming a critical, and ever more complex, task. The focus of this dissertation is to lay the foundation for an autonomic system for heterogeneous computing, employing runtime adaptation to im
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Dudzik, Stefan Einhorn Jochen Schönleber Tim. "Untersuchung des IBM Autonomic Computing Toolkits." [S.l. : s.n.], 2004. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB11730082.

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Tunc, Cihan. "Autonomic Cloud Resource Management." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/347144.

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The power consumption of data centers and cloud systems has increased almost three times between 2007 and 2012. The traditional resource allocation methods are typically designed for high performance as the primary objective to support peak resource requirements. However, it is shown that server utilization is between 12% and 18%, while the power consumption is close to those at peak loads. Hence, there is a pressing need for devising sophisticated resource management approaches. State of the art dynamic resource management schemes typically rely on only a single resource such as core number,
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Jacyno, Mariusz. "Self-organising agent communities for autonomic computing." Thesis, University of Southampton, 2010. https://eprints.soton.ac.uk/143903/.

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Efficient resource management is one of key problems associated with large-scale distributed computational systems. Taking into account their increasing complexity, inherent distribution and dynamism, such systems are required to adjust and adapt resources market that is offered by them at run-time and with minimal cost. However, as observed by major IT vendors such as IBM, SUN or HP, the very nature of such systems prevents any reliable and efficient control over their functioning through human administration. For this reason, autonomic system architectures capable of regulating their own fun
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Jararweh, Yaser. "Autonomic Programming Paradigm for High Performance Computing." Diss., The University of Arizona, 2010. http://hdl.handle.net/10150/193527.

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The advances in computing and communication technologies and software tools have resulted in an explosive growth in networked applications and information services that cover all aspects of our life. These services and applications are inherently complex, dynamic and heterogeneous. In a similar way, the underlying information infrastructure, e.g. the Internet, is large, complex, heterogeneous and dynamic, globally aggregating large numbers of independent computing and communication resources. The combination of the two results in application development and management complexities that break c
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Omar, Wail M. "Self-management middleware services for autonomic grid computing." Thesis, Liverpool John Moores University, 2006. http://researchonline.ljmu.ac.uk/5784/.

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Rodrigues, Gabriel Siqueira. "Autonomic goal-driven deployment in heterogeneous computing environments." reponame:Repositório Institucional da UnB, 2016. http://repositorio.unb.br/handle/10482/23185.

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Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, 2016.<br>Submitted by Fernanda Percia França (fernandafranca@bce.unb.br) on 2017-03-03T18:16:47Z No. of bitstreams: 1 2016_GabrielSiqueiraRodrigues.pdf: 1418859 bytes, checksum: 2ee51220d6f243fc8432fb73a19952c2 (MD5)<br>Approved for entry into archive by Raquel Viana(raquelviana@bce.unb.br) on 2017-04-04T21:54:40Z (GMT) No. of bitstreams: 1 2016_GabrielSiqueiraRodrigues.pdf: 1418859 bytes, checksum: 2ee51220d6f243fc8432fb73a19952c2 (MD5)<br>Made available in DSpace on 2017-04-
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Furrer, Frank J., and Georg Püschel. "Autonomic Computing: State of the Art - Promises - Impact." Technische Universität Dresden, 2016. https://tud.qucosa.de/id/qucosa%3A29925.

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Software has never been as important as today – and its impact on life, work and society is growing at an impressive rate. We are in the flow of a software-induced transformation of nearly all aspects of our way of life and work. The dependence on software has become almost total. Malfunctions and unavailability may threaten vital areas of our society, life and work at any time. The two massive challenges of software are one hand the complexity of the software and on the other hand the disruptive environment. Complexity of the software is a result of the size, the continuously growing functi
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Books on the topic "Autonomic computing"

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Lalanda, Philippe, Julie A. McCann, and Ada Diaconescu. Autonomic Computing. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5007-7.

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Zhang, Yan. Autonomic Computing and Networking. Springer Science+Business Media, LLC, 2009.

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Xiao, Bin, Laurence T. Yang, Jianhua Ma, Christian Muller-Schloer, and Yu Hua, eds. Autonomic and Trusted Computing. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73547-2.

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Xie, Bing, Juergen Branke, S. Masoud Sadjadi, Daqing Zhang, and Xingshe Zhou, eds. Autonomic and Trusted Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16576-4.

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Rong, Chunming, Martin Gilje Jaatun, Frode Eika Sandnes, Laurence T. Yang, and Jianhua Ma, eds. Autonomic and Trusted Computing. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69295-9.

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González Nieto, Juan, Wolfgang Reif, Guojun Wang, and Jadwiga Indulska, eds. Autonomic and Trusted Computing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02704-8.

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Zhang, Yan, Laurence Tianruo Yang, and Mieso K. Denko, eds. Autonomic Computing and Networking. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-89828-5.

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Calero, Jose M. Alcaraz, Laurence T. Yang, Félix Gómez Mármol, Luis Javier García Villalba, Andy Xiaolin Li, and Yan Wang, eds. Autonomic and Trusted Computing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23496-5.

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Yang, Laurence T., Hai Jin, Jianhua Ma, and Theo Ungerer, eds. Autonomic and Trusted Computing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11839569.

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Vasilakos, Athanasius V., Roberto Beraldi, Roy Friedman, and Marco Mamei, eds. Autonomic Computing and Communications Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11482-3.

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Book chapters on the topic "Autonomic computing"

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Gilat, Dagan. "Autonomic Computing." In Disappearing Architecture. Birkhäuser Basel, 2005. http://dx.doi.org/10.1007/3-7643-7674-0_4.

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Banafa, Ahmed. "Autonomic Computing." In Quantum Computing and Other Transformative Technologies. River Publishers, 2023. http://dx.doi.org/10.1201/9781003339175-14.

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Müller-Schloer, Christian, and Sven Tomforde. "Quantitative Organic Computing." In Autonomic Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68477-2_4.

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Müller-Schloer, Christian, and Sven Tomforde. "Building Organic Computing Systems." In Autonomic Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68477-2_5.

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Lalanda, Philippe, Julie A. McCann, and Ada Diaconescu. "Autonomic Computing Architectures." In Undergraduate Topics in Computer Science. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5007-7_4.

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Ahmed, Shameem, Sheikh I. Ahamed, Moushumi Sharmin, and Chowdhury S. Hasan. "Self-healing for Autonomic Pervasive Computing." In Autonomic Communication. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-09753-4_11.

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Harroud, Hamid, and Ahmed Karmouch. "Implicit Context-Sensitive Mobile Computing Using Semantic Policies." In Autonomic Networking. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11880905_16.

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Hina, Manolo Dulva, Chakib Tadj, Amar Ramdane-Cherif, and Nicole Lévy. "Autonomic Communication in Pervasive Multimodal Multimedia Computing System." In Autonomic Communication. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-09753-4_10.

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Calinescu, Radu. "General-Purpose Autonomic Computing." In Autonomic Computing and Networking. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-89828-5_1.

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Maier, Andreas. "Keynote Autonomic Computing Initiative." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24714-2_1.

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Conference papers on the topic "Autonomic computing"

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Baiardi, Martina. "Supporting Autonomic Computing via BDI Tooling." In 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C). IEEE, 2024. https://doi.org/10.1109/acsos-c63493.2024.00047.

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Salehie, Mazeiar, and Ladan Tahvildari. "Autonomic computing." In the 2005 workshop. ACM Press, 2005. http://dx.doi.org/10.1145/1083063.1083082.

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Kephart, Jeffrey O. "Autonomic computing." In the 8th ACM international conference. ACM Press, 2011. http://dx.doi.org/10.1145/1998582.1998584.

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Cybenko, George, Vincent Berk, Ian Gregorio-de.souza, and Chad Behre. "Practical Autonomic Computing." In 30th Annual International Computer Software and Applications Conference (COMPSAC'06). IEEE, 2006. http://dx.doi.org/10.1109/compsac.2006.67.

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Gouin-Vallerand, Charles, Bessam Abdulrazak, Sylvain Giroux, and Mounir Mokhtari. "Toward autonomic pervasive computing." In the 10th International Conference. ACM Press, 2008. http://dx.doi.org/10.1145/1497308.1497440.

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RANGASWAMY, SHANTA. "AUTONOMIC COMPUTING- SCORE /EROCS." In Proceedings of the International Conference on ICSTE 2009. WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789814289986_0046.

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Mulcahy, James J., Shihong Huang, and Imad Mahgoub. "Autonomic computing and VANET." In SoutheastCon 2015. IEEE, 2015. http://dx.doi.org/10.1109/secon.2015.7132919.

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"Session details: Autonomic computing." In SAC07: The 2007 ACM Symposium on Applied Computing, edited by Umesh Bellur and Sheikh Iqbal Ahamed. ACM, 2007. http://dx.doi.org/10.1145/3246490.

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Ramnath, Rajiv. "Session details: Autonomic computing." In SAC '08: The 2008 ACM Symposium on Applied Computing, edited by Umesh Bellur. ACM, 2008. http://dx.doi.org/10.1145/3260555.

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Raymer, David, Sven van der Meer, and John Strassner. "From Autonomic Computing to Autonomic Networking: An Architectural Perspective." In 2008 5th IEEE Workshop on Engineering of Autonomic and Autonomous Systems (EASe 2008). IEEE, 2008. http://dx.doi.org/10.1109/ease.2008.26.

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Reports on the topic "Autonomic computing"

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Klein, Brandon. Abstracted, Modular, Ephemeral Autonomic Computing Systems Codified. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1772682.

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Karsai, Gabor, and Benoit Dawant. Autonomous Negotiating Teams and Model-Integrated Computing for Autonomic Logistics. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada430889.

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Lee, Hsien-Hsin S. TOWARD HIGHLY SECURE AND AUTONOMIC COMPUTING SYSTEMS: A HIERARCHICAL APPROACH. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/1068692.

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Maiden, Wendy M. DualTrust: A Trust Management Model for Swarm-Based Autonomic Computing Systems. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/1021296.

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