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Journal articles on the topic 'Autonomic computing'

Author: Grafiati
Published: 4 June 2021
Last updated: 22 June 2024

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1

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

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2

Sterritt, Roy. "Autonomic computing." Innovations in Systems and Software Engineering 1, no. 1 (March 11, 2005): 79–88. http://dx.doi.org/10.1007/s11334-005-0001-5.

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3

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 (October 31, 2018): 28–32. http://dx.doi.org/10.31142/ijtsrd18378.

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4

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

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5

Bantz, D. F., C. Bisdikian, D. Challener, J. P. Karidis, S. Mastrianni, A. Mohindra, D. G. Shea, and M. Vanover. "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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6

Cong Vinh, Phan. "Algebraically Autonomic Computing." Mobile Networks and Applications 21, no. 1 (May 26, 2015): 3–9. http://dx.doi.org/10.1007/s11036-015-0615-2.

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7

Chess, David M. "Security in autonomic computing." ACM SIGARCH Computer Architecture News 33, no. 1 (March 2005): 2–5. http://dx.doi.org/10.1145/1055626.1055628.

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8

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

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9

Hariri, Salim, Bithika Khargharia, Houping Chen, Jingmei Yang, Yeliang Zhang, Manish Parashar, and Hua Liu. "The Autonomic Computing Paradigm." Cluster Computing 9, no. 1 (January 2006): 5–17. http://dx.doi.org/10.1007/s10586-006-4893-0.

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10

Bahl Ritika Wason, Divya. "Autonomic Computing: Further Maturation in IT Industry." International Journal of Science and Research (IJSR) 1, no. 3 (March 5, 2012): 50–58. http://dx.doi.org/10.21275/ijsr12120349.

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11

Sangani, Sangeeta P., and Dr S. F. Rodd. "Injecting Autonomic Computing into Legacy Systems: A Survey." Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (October 31, 2016): 230–33. http://dx.doi.org/10.9756/bijsesc.8284.

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12

Kaur, Ripandeep, and Gurjot Kaur. "Proactive Scheduling in Cloud Computing." Bulletin of Electrical Engineering and Informatics 6, no. 2 (August 16, 2017): 174–80. http://dx.doi.org/10.11591/eei.v6i2.649.

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Autonomic fault aware scheduling is a feature quite important for cloud computing and it is related to adoption of workload variation. In this context, this paper proposes an fault aware pattern matching autonomic scheduling for cloud computing based on autonomic computing concepts. In order to validate the proposed solution, we performed two experiments one with traditional approach and other other with pattern recognition fault aware approach. The results show the effectiveness of the scheme.
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13

Ugwu, K. "Autonomic computing: Prospect and challenges." Journal of Management and Technology 19, no. 1 (August 15, 2023): 180–90. http://dx.doi.org/10.62254/jmt.2023.19.1.15.

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The rapid growth of technology and increasing demand for computing services have created a complex and challenging environment for information and technology (IT) professionals. The complexity of modern computer systems has made it difficult for IT specialists to manage and maintain these systems effectively. As a result, there is a need for a new approach that can help IT professionals manage their complex systems better. Autonomic computing is a new approach that aims to develop and manage complex computer systems that can manage itself, autonomously. Autonomic computing is an advanced approach to computing that allows computer systems to learn, adapt, and manage itself without human intervention. It is based on the principles of self-management, self-optimization, self-configuration, self-protection and self-healing. With autonomic computing, computer systems can detect problems and take corrective actions automatically without requiring human intervention. This technology offers many advantages for organizations, including reduced downtime, improved system performance, increased reliability and better resource utilization. The aim of this research is to discuss the concept of autonomic computing, its architectural components, benefits, and limitations.
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14

Anala, MR. "Autonomic Computing In Virtualized Environment." International Journal of Information Technology Convergence and Services 2, no. 1 (February 29, 2012): 67–74. http://dx.doi.org/10.5121/ijitcs.2012.2108.

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15

Hamzeh, Hamed, Sofia Meacham, Botond Virginas, and Keith Phalp. "Taxonomy of Autonomic Cloud Computing." International Journal of Computer and Communication Engineering 7, no. 3 (2018): 68–84. http://dx.doi.org/10.17706/ijcce.2018.7.3.68-84.

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16

Bhargav, Rajyagor. "Decision Making and Autonomic Computing." IOSR Journal of Computer Engineering 15, no. 1 (2013): 35–41. http://dx.doi.org/10.9790/0661-1513541.

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17

Menasce, Daniel, and Jeffrey Kephart. "Guest Editors' Introduction: Autonomic Computing." IEEE Internet Computing 11, no. 1 (2007): 18–21. http://dx.doi.org/10.1109/mic.2007.11.

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18

Simmons, Bradley, and Hanan Lutfiyya. "Policies, grids and autonomic computing." ACM SIGSOFT Software Engineering Notes 30, no. 4 (July 2005): 1–5. http://dx.doi.org/10.1145/1082983.1083081.

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19

Smith, Dennis, Edwin Morris, and David Carney. "Interoperability issues affecting autonomic computing." ACM SIGSOFT Software Engineering Notes 30, no. 4 (July 2005): 1–3. http://dx.doi.org/10.1145/1082983.1083084.

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20

Cooter, M. "Systematic well-being [autonomic computing]." Engineering & Technology 5, no. 2 (February 6, 2010): 48–50. http://dx.doi.org/10.1049/et.2010.0210.

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21

Want, R., T. Pering, and D. Tennenhouse. "Comparing autonomic and proactive computing." IBM Systems Journal 42, no. 1 (2003): 129–35. http://dx.doi.org/10.1147/sj.421.0129.

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22

EYMANN, TORSTEN. "The infrastructures of Autonomic Computing." Knowledge Engineering Review 21, no. 3 (September 2006): 189–94. http://dx.doi.org/10.1017/s0269888906000877.

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The papers in this special issue represent an early view on different aspects of a new research field in computing science. They were presented as best papers in a series of European workshops called ‘Self-adaptive and autonomic systems’ (SAACS), which is co-located with the DEXA conference every year.
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23

Paulson, L. D. "IBM begins autonomic-computing project." Computer 35, no. 2 (February 2002): 25. http://dx.doi.org/10.1109/mc.2002.982910.

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24

Kephart, J. O., and D. M. Chess. "The vision of autonomic computing." Computer 36, no. 1 (January 2003): 41–50. http://dx.doi.org/10.1109/mc.2003.1160055.

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25

Shi, Jian. "The Research of Autonomic Computing of Internet of Things Based on Policy-Driven." Advanced Materials Research 487 (March 2012): 342–46. http://dx.doi.org/10.4028/www.scientific.net/amr.487.342.

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"Autonomic computing" the revolutionary idea of network computing as IBM's next generation of network computing to understand and predict the ultimate development, in October 2001 and was formally proposed research. Autonomic computing refers to computers with self-diagnosis, self-regulation, self-healing ability, without too much human intervention will be able to operate autonomously. IBM autonomic computing will be defined as "e-business infrastructure services to ensure the level of self-management (Self Managing) technology", with the ultimate goal is to make information systems to automatically manage their own, and maintain its reliability.
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26

Ibrahim Omer, Samah Mawia, Amin Babiker A.Mustafa, and Fatema Abdallah Elmahdi Alghali. "Advantages of Autonomic Computing over Cloud Computing Comparative Analysis." IOSR Journal of Electrical and Electronics Engineering 9, no. 6 (2014): 56–60. http://dx.doi.org/10.9790/1676-09635660.

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27

Zhu, Haibin. "Role-Based Autonomic Systems." International Journal of Software Science and Computational Intelligence 2, no. 3 (July 2010): 32–51. http://dx.doi.org/10.4018/jssci.2010070103.

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Autonomic Computing is an emerging computing paradigm used to create computer systems capable of self-management in order to overcome the rapidly growing complexity of computing systems management. To possess self-* properties, there must be mechanisms to support self-awareness, that is an autonomic system should be able to perceive the abnormality of its components. After abnormality is checked, processes of self-healing, self-configuration, self-optimization, and self-protection must be completed to guarantee the system works correctly and continuously. In role-based collaboration (RBC), roles are the major media for interaction, coordination, and collaboration. A role can be used to check if a player behaves well or not. This paper investigates the possibility of using roles and their related mechanisms to diagnose the behavior of agents, and facilitate self-* properties of a system.
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28

Al-Sayyed, Rizik M. H., Hussam N. Fakhouri, Sharefa F. Murad, and Sandi N. Fakhouri. "CACS: Cloud Environment Autonomic Computing System." Journal of Software Engineering and Applications 10, no. 03 (2017): 273–87. http://dx.doi.org/10.4236/jsea.2017.103016.

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29

White, Steve R., James E. Hanson, Ian Whalley, David M. Chess, Alla Segal, and Jeffrey O. Kephart. "Autonomic computing: Architectural approach and prototype." Integrated Computer-Aided Engineering 13, no. 2 (February 5, 2006): 173–88. http://dx.doi.org/10.3233/ica-2006-13206.

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30

Sampaio, Hugo Vaz, Carlos Becker Westphall, Fernando Koch, Ricardo do Nascimento Boing, and René Nolio Santa Cruz. "Autonomic energy management with Fog Computing." Computers & Electrical Engineering 93 (July 2021): 107246. http://dx.doi.org/10.1016/j.compeleceng.2021.107246.

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31

Wang, Yingxu. "Toward Theoretical Foundations of Autonomic Computing." International Journal of Cognitive Informatics and Natural Intelligence 1, no. 3 (July 2007): 1–16. http://dx.doi.org/10.4018/jcini.2007070101.

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32

Ranganathan, Anand, Chetan Shankar, and Roy Campbell. "Application polymorphism for autonomic ubiquitous computing." Multiagent and Grid Systems 1, no. 2 (October 7, 2005): 109–29. http://dx.doi.org/10.3233/mgs-2005-1205.

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33

Dobson, Simon, Roy Sterritt, Paddy Nixon, and Mike Hinchey. "Fulfilling the Vision of Autonomic Computing." Computer 43, no. 1 (January 2010): 35–41. http://dx.doi.org/10.1109/mc.2010.14.

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34

Rana, O. F., and J. O. Kephart. "Building Effective Multivendor Autonomic Computing Systems." IEEE Distributed Systems Online 7, no. 9 (September 2006): 3. http://dx.doi.org/10.1109/mdso.2006.53.

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35

Chess, D. M., C. C. Palmer, and S. R. White. "Security in an autonomic computing environment." IBM Systems Journal 42, no. 1 (2003): 107–18. http://dx.doi.org/10.1147/sj.421.0107.

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36

Bastos, Ricardo M., Flávio M. de Oliveira, and José Palazzo M. de Oliveira. "Autonomic computing approach for resource allocation." Expert Systems with Applications 28, no. 1 (January 2005): 9–19. http://dx.doi.org/10.1016/j.eswa.2004.08.014.

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37

Bustard, David, Sa’adah Hassan, David McSherry, and Steven Walmsley. "GRAPHIC illustrations of autonomic computing concepts." Innovations in Systems and Software Engineering 3, no. 1 (January 10, 2007): 61–69. http://dx.doi.org/10.1007/s11334-006-0013-9.

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38

Sterritt, Roy, Manish Parashar, Huaglory Tianfield, and Rainer Unland. "A concise introduction to autonomic computing." Advanced Engineering Informatics 19, no. 3 (July 2005): 181–87. http://dx.doi.org/10.1016/j.aei.2005.05.012.

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39

STERRITT, ROY, and DAVE BUSTARD. "A health-check model for autonomic systems based on a pulse monitor." Knowledge Engineering Review 21, no. 3 (September 2006): 195–204. http://dx.doi.org/10.1017/s0269888906000889.

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Like the autonomic responses in the human body, autonomic computing systems recognize their own health problems and, where possible, respond to correct them. Failing that, external help is required. The purpose of this paper is to consider how autonomic systems might be structured to facilitate health monitoring. The approach uses a ‘pulse’ monitor for each autonomic element, which provides a reflex reaction facility and basic information on the current state (health) of that element. The pulse mechanism extends the NASA beacon monitor concept. The different ways that pulse information might be communicated and used are examined. The discussion is illustrated with a personal computing example.
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40

Brazier, Frances M. T., Jeffrey O. Kephart, H. Van Dyke Parunak, and Michael N. Huhns. "Agents and Service-Oriented Computing for Autonomic Computing: A Research Agenda." IEEE Internet Computing 13, no. 3 (May 2009): 82–87. http://dx.doi.org/10.1109/mic.2009.51.

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41

Abdulrazak, Bessam, Patrice Roy, Charles Gouin-Vallerand, Yacine Belala, and Sylvain Giroux. "Micro Context-Awareness for Autonomic Pervasive Computing." International Journal of Business Data Communications and Networking 7, no. 2 (April 2011): 48–68. http://dx.doi.org/10.4018/jbdcn.2011040104.

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Context-aware software provides adapted services to users or other software components. On the other hand, Autonomic Pervasive Computing uses context to reduce the complexity of pervasive system utilization, management and maintenance. This paper describes two context-awareness models, the macro and micro approaches, that define and integrate contextual views of individual pervasive components (micro level) and global knowledge of the system (macro level), and provides a more detailed overview of a micro Context-aware programming model for open smart space problems. These models are presented and compared with respect to their ability to meet the requirements of the Autonomic Pervasive Computing concept of the four selves.
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42

Kurian, Devasia, and Pethuru Raj Chelliah. "Autonomic Computing for B2C E-Commerce Applications." International Journal of Computer Applications 68, no. 20 (April 18, 2013): 33–40. http://dx.doi.org/10.5120/11697-7425.

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43

Nazir, Sajid, Shushma Patel, and Dilip Patel. "Autonomic Computing Architecture for SCADA Cyber Security." International Journal of Cognitive Informatics and Natural Intelligence 11, no. 4 (October 2017): 66–79. http://dx.doi.org/10.4018/ijcini.2017100104.

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Autonomic computing paradigm is based on intelligent computing systems that can autonomously take actions under given conditions. These technologies have been successfully applied to many problem domains requiring autonomous operation. One such area of national interest is SCADA systems that monitor critical infrastructures such as transportation networks, large manufacturing, business and health facilities, power generation, and distribution networks. The SCADA systems have evolved into a complex, highly connected system requiring high availability. On the other hand, cyber threats to these infrastructures have increasingly become more sophisticated, extensive and numerous. This highlights the need for newer measures that can proactively and autonomously react to an impending threat. This article proposes a SCADA system framework to leverage autonomic computing elements in the architecture for coping with the current challenges and threats of cyber security.
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44

WU, Qing-tao, Bin HUA, Rui-juan ZHENG, Wang-yang WEI, and Ming-chuan ZHANG. "Intrusion tolerance model based on autonomic computing." Journal of Computer Applications 30, no. 9 (November 30, 2010): 2386–88. http://dx.doi.org/10.3724/sp.j.1087.2010.02386.

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45

Enokido, Tomoya. "A Group Communication Protocol for Autonomic Computing." Journal of Computer Science 2, no. 6 (June 1, 2006): 480–88. http://dx.doi.org/10.3844/jcssp.2006.480.488.

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46

Brittenham, P., R. R. Cutlip, C. Draper, B. A. Miller, S. Choudhary, and M. Perazolo. "IT service management architecture and autonomic computing." IBM Systems Journal 46, no. 3 (2007): 565–81. http://dx.doi.org/10.1147/sj.463.0565.

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47

Salih, Nadir K., Abdel-hafiz A. Khoudour, Mawahib S. Adam, and Samar M. Hassen. "Autonomic Computing Architecture by Self-defined URI." International Journal of Computer Trends and Technology 68, no. 3 (March 25, 2020): 1–6. http://dx.doi.org/10.14445/22312803/ijctt-v68i3p101.

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48

Ganek, A. G., and T. A. Corbi. "The dawning of the autonomic computing era." IBM Systems Journal 42, no. 1 (2003): 5–18. http://dx.doi.org/10.1147/sj.421.0005.

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49

Olmedo-Aguirre, José Oscar, and Marisol Vázquez-Tzompantzi. "Flexible Rule-Based Programming for Autonomic Computing." Research in Computing Science 105, no. 1 (December 31, 2015): 63–73. http://dx.doi.org/10.13053/rcs-105-1-6.

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50

Al-Sharif, Ziad A., Yaser Jararweh, Ahmad Al-Dahoud, and Luay M. Alawneh. "ACCRS: autonomic based cloud computing resource scaling." Cluster Computing 20, no. 3 (November 21, 2016): 2479–88. http://dx.doi.org/10.1007/s10586-016-0682-6.

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