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Journal articles on the topic 'Autonomic computing'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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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2

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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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 (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 (2007): 16–33. http://dx.doi.org/10.4018/jcini.2007040102.

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5

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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6

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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7

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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8

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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9

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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10

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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11

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

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12

Kaur, Ripandeep, and Gurjot Kaur. "Proactive Scheduling in Cloud Computing." Bulletin of Electrical Engineering and Informatics 6, no. 2 (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

Ripandeep, Kaur, and Kaur Gurjot. "Proactive Scheduling in Cloud Computing." Bulletin of Electrical Engineering and Informatics 6, no. 2 (2017): 174–80. https://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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14

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 automa

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15

Ugwu, K. "Autonomic computing: Prospect and challenges." Journal of Management and Technology 19, no. 1 (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 appro

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16

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

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17

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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18

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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19

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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20

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

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21

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

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22

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

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23

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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24

EYMANN, TORSTEN. "The infrastructures of Autonomic Computing." Knowledge Engineering Review 21, no. 3 (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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25

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

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26

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

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27

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 (2016): 230–33. http://dx.doi.org/10.9756/bijsesc.8284.

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28

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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29

Zhu, Haibin. "Role-Based Autonomic Systems." International Journal of Software Science and Computational Intelligence 2, no. 3 (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), rol

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30

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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31

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 (2006): 173–88. http://dx.doi.org/10.3233/ica-2006-13206.

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32

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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33

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

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34

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

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35

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

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36

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

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37

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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38

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 (2005): 9–19. http://dx.doi.org/10.1016/j.eswa.2004.08.014.

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39

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 (2007): 61–69. http://dx.doi.org/10.1007/s11334-006-0013-9.

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40

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

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41

STERRITT, ROY, and DAVE BUSTARD. "A health-check model for autonomic systems based on a pulse monitor." Knowledge Engineering Review 21, no. 3 (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 b

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42

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 (2009): 82–87. http://dx.doi.org/10.1109/mic.2009.51.

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43

Wu, Qing Tao, Bin Hua, Rui Juan Zheng, and Ming Chuan Zhang. "An Adaptive Intrusion Tolerance Model Based on Autonomic Computing." Applied Mechanics and Materials 44-47 (December 2010): 3259–63. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.3259.

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Intrusion tolerance has been a key technology of system survivability. To cope with the absence of self-adaptability on existent intrusion tolerance system, an intrusion tolerant model based on autonomic computing is proposed, in which the reliability of the network connection is analyzed in real time to generate the initial reliability by an autonomic feedback mechanism, and the classification between suspicious information and confident information is guaranteed for implementing the tolerance on suspicious connections through the dynamic reliability optimization. The simulation results show

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44

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 (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

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45

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

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46

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 (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 i

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47

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 (2010): 2386–88. http://dx.doi.org/10.3724/sp.j.1087.2010.02386.

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48

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

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49

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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50

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 (2020): 1–6. http://dx.doi.org/10.14445/22312803/ijctt-v68i3p101.

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