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Journal articles on the topic 'Autonomic network management'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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1

Tsagkaris, Kostas, Marios Logothetis, Vassilis Foteinos, George Poulios, Michalis Michaloliakos, and Panagiotis Demestichas. "Customizable Autonomic Network Management: Integrating Autonomic Network Management and Software-Defined Networking." IEEE Vehicular Technology Magazine 10, no. 1 (March 2015): 61–68. http://dx.doi.org/10.1109/mvt.2014.2380633.

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Bashar, Abul, Gerard Parr, Sally McClean, Bryan Scotney, and Detlef Nauck. "Application of Bayesian Networks for Autonomic Network Management." Journal of Network and Systems Management 22, no. 2 (October 20, 2013): 174–207. http://dx.doi.org/10.1007/s10922-013-9289-x.

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3

Gogineni, Hemant, Albert Greenberg, David Maltz, T. Eugene Ng, Hong Yan, and Hui Zhang. "MMS: An autonomic network-layer foundation for network management." IEEE Journal on Selected Areas in Communications 28, no. 1 (January 2010): 15–27. http://dx.doi.org/10.1109/jsac.2010.100103.

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4

Hu, Yu. "Autonomic Network Control and Management System for Engineering Training Room." Applied Mechanics and Materials 303-306 (February 2013): 2353–56. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.2353.

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Core networks should continue delivering best effort service and at the same time they have to be able to meet different transport service requirements initiated by multiplicity of heterogeneous users. Management is a fundamental aspect of the promise of next generation networks and services. In this paper, AutoNet as an autonomic management and control system networks is put forward. AutoNet is architecture to automate data transport delivery in backbone networks. We also take the project of autonomic network control and management system for engineering training room as the instance to research the technology for university experiment teaching.

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Van Wambeke, N., F. Armando, and A. Abdelkefi. "Models and Architecture for Autonomic Network Management." International Journal of Business Data Communications and Networking 5, no. 2 (April 2009): 35–51. http://dx.doi.org/10.4018/jbdcn.2009040103.

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6

Arzo, Sisay Tadesse, Riccardo Bassoli, Fabrizio Granelli, and Frank H. P. Fitzek. "Multi-Agent Based Autonomic Network Management Architecture." IEEE Transactions on Network and Service Management 18, no. 3 (September 2021): 3595–618. http://dx.doi.org/10.1109/tnsm.2021.3059752.

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7

Rodriguez-Vivas, Angela, Oscar Mauricio Caicedo, Armando Ordoñez, Jéferson Campos Nobre, and Lisandro Zambenedetti Granville. "NORA: An Approach for Transforming Network Management Policies into Automated Planning Problems." Sensors 21, no. 5 (March 4, 2021): 1790. http://dx.doi.org/10.3390/s21051790.

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Realizing autonomic management control loops is pivotal for achieving self-driving networks. Some studies have recently evidence the feasibility of using Automated Planning (AP) to carry out these loops. However, in practice, the use of AP is complicated since network administrators, who are non-experts in Artificial Intelligence, need to define network management policies as AP-goals and combine them with the network status and network management tasks to obtain AP-problems. AP planners use these problems to build up autonomic solutions formed by primitive tasks that modify the initial network state to achieve management goals. Although recent approaches have investigated transforming network management policies expressed in specific languages into low-level configuration rules, transforming these policies expressed in natural language into AP-goals and, subsequently, build up AP-based autonomic management loops remains unexplored. This paper introduces a novel approach, called NORA, to automatically generate AP-problems by translating Goal Policies expressed in natural language into AP-goals and combining them with both the network status and the network management tasks. NORA uses Natural Language Processing as the translation technique and templates as the combination technique to avoid network administrators to learn policy languages or AP-notations. We used a dataset containing Goal Policies to evaluate the NORA’s prototype. The results show that NORA achieves high precision and spends a short-time on generating AP-problems, which evinces NORA aids to overcome barriers to using AP in autonomic network management scenarios.

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Wang, Wendong, Qinglei Qi, Xiangyang Gong, Yannan Hu, and Xirong Que. "Autonomic QoS management mechanism in Software Defined Network." China Communications 11, no. 7 (July 2014): 13–23. http://dx.doi.org/10.1109/cc.2014.6895381.

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9

Lehocine, Madjed Bencheikh, and Mohamed Batouche. "Achieving efficiency in autonomic network management of IP networks based on SDN management logic." International Journal of Communication Networks and Distributed Systems 20, no. 4 (2018): 484. http://dx.doi.org/10.1504/ijcnds.2018.092145.

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Batouche, Mohamed, and Madjed Bencheikh Lehocine. "Achieving efficiency in autonomic network management of IP networks based on SDN management logic." International Journal of Communication Networks and Distributed Systems 20, no. 4 (2018): 484. http://dx.doi.org/10.1504/ijcnds.2018.10013190.

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11

Wódczak, Michał, Nikolay Tcholtchev, Bruno Vidalenc, and Yuhong Li. "Design and Evaluation of Techniques for Resilience and Survivability of the Routing Node." International Journal of Adaptive, Resilient and Autonomic Systems 4, no. 4 (October 2013): 36–63. http://dx.doi.org/10.4018/ijaras.2013100103.

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This paper presents the final results achieved within the EFIPSANS project on the topic of resilience and survivability in autonomic networks. In particular, the outcome of the investigation of the following issues is presented: adaptive level of recovery, unified architecture for autonomic routing resilience, synergies between autonomic fault-management and resilience in self-managing networks, as well as network resilience through autonomic reroute mechanism enhanced with multi-path node-to-node cooperation. The described ideas are supported by exhaustive descriptions and analyses featuring extensive validation results aimed to prove the applicability of the proposed concepts.

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12

Al-Oqily, Ibrahim, Bassam Subaih, Saad Bani-Mohammad, Jawdat Jamil Alshaer, and Mohammed Refai. "Autonomic Healing for Service Specific Overlay Networks." International Journal of Information Technology and Web Engineering 7, no. 2 (April 2012): 46–59. http://dx.doi.org/10.4018/jitwe.2012040104.

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Service Specific Overlay Networks (SSONs) have recently attracted a great interest, and have been extensively investigated in the context of multimedia delivery over the internet. SSONs are virtual networks constructed on top of the underlying network and they have been proposed to provide and improve services not provided by other traditional networks to the end users. The increased complexity and heterogeneity of these networks in addition to ever changing conditions in the network and the different types of fault that may occur make their control and management by human administrators more difficult. Therefore, self-healing concept was introduced to handle these changes and assuring highly reliable and dependable network system performance. Self-healing aims at ensuring that the service will continue to work regardless of defects that might occur in the network. This paper introduces literature in the area of self-healing overlay networks, presents their basic concepts, requirements, and architectures. In addition to that the authors present a proposed self-healing architecture for multimedia delivery services. Their proposed solution is oriented to discover new approaches for monitoring, diagnosing, and recovering of services thus achieving self-healing.

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13

Dhraief, Amine, Abdelfettah Belghith, Khalil Drira, Tarek Bouali, and Mohmaed Amine Ghorbali. "Autonomic Management of the HIP-based M2M Overlay Network." Procedia Computer Science 19 (2013): 98–105. http://dx.doi.org/10.1016/j.procs.2013.06.018.

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14

Onunka, Chiemela, Glen Bright, and Riaan Stopforth. "Wireless autonomic neural network in EEG signal extraction management." International Journal of Computer Applications in Technology 50, no. 1/2 (2014): 18. http://dx.doi.org/10.1504/ijcat.2014.063905.

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15

Cheng, Yu, Ramy Farha, Myung Sup Kim, Alberto Leon-Garcia, and James Won-Ki Hong. "A generic architecture for autonomic service and network management." Computer Communications 29, no. 18 (November 2006): 3691–709. http://dx.doi.org/10.1016/j.comcom.2006.06.017.

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16

Stamou, Adamantia, Grigorios Kakkavas, Konstantinos Tsitseklis, Vasileios Karyotis, and Symeon Papavassiliou. "Autonomic Network Management and Cross-Layer Optimization in Software Defined Radio Environments." Future Internet 11, no. 2 (February 3, 2019): 37. http://dx.doi.org/10.3390/fi11020037.

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The demand for Autonomic Network Management (ANM) and optimization is as intense as ever, even though significant research has been devoted towards this direction. This paper addresses such need in Software Defined (SDR) based Cognitive Radio Networks (CRNs). We propose a new framework for ANM and network reconfiguration combining Software Defined Networks (SDN) with SDR via Network Function Virtualization (NFV) enabled Virtual Utility Functions (VUFs). This is the first approach combining ANM with SDR and SDN via NFV, demonstrating how these state-of-the-art technologies can be effectively combined to achieve reconfiguration flexibility, improved performance and efficient use of available resources. In order to show the feasibility of the proposed framework, we implemented its main functionalities in a cross-layer resource allocation mechanism for CRNs over real SDR testbeds provided by the Orchestration and Reconfiguration Control Architecture (ORCA) EU project. We demonstrate the efficacy of our framework, and based on the obtained results, we identify aspects that can be further investigated for improving the applicability and increasing performance of our broader framework.

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17

Rewagad, Prof P. P. "Management of Future Internet with Autonomic Network Architecture and Model." IOSR Journal of Engineering 02, no. 10 (October 2012): 63–70. http://dx.doi.org/10.9790/3021-021056370.

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18

Etemadnia, Hamideh, Khaled Abdelghany, and Salim Hariri. "Toward an Autonomic Architecture for Real-Time Traffic Network Management." Journal of Intelligent Transportation Systems 16, no. 2 (March 12, 2012): 45–59. http://dx.doi.org/10.1080/15472450.2012.671706.

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19

Carela-Español, Valentín, Pere Barlet-Ros, Oriol Mula-Valls, and Josep Solé-Pareta. "An Autonomic Traffic Classification System for Network Operation and Management." Journal of Network and Systems Management 23, no. 3 (October 15, 2013): 401–19. http://dx.doi.org/10.1007/s10922-013-9293-1.

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20

Sari, Riri Fitri, Lukman Rosyidi, Bambang Susilo, and Muhamad Asvial. "A Comprehensive Review on Network Protocol Design for Autonomic Internet of Things." Information 12, no. 8 (July 22, 2021): 292. http://dx.doi.org/10.3390/info12080292.

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The autonomic Internet of Things is the creation of self-management capability in the Internet of Things system by embedding some autonomic properties, with the goal of freeing humans from all detail of the operation and management of the system. At same time, this provides a system to always operate on the best performance. This paper presents a review of the recent studies related to the design of network communication protocol, which can support autonomic Internet of Things. Many of the studies come from the research and development in Wireless Sensor Network protocols, as it becomes one of the key technologies for the Internet of Things. The identified autonomic properties are self-organization, self-optimization, and self-protection. We review some protocols with the objective of energy consumption reduction and energy harvesting awareness, as it can support the self-energy-awareness property. As the result, the protocol designs are mapped according to each autonomic property supported, including protocols for MAC layer, protocols for clustering, protocols for routing, and protocols for security. This can be used to map the advances of communication protocol research for the autonomic Internet of Things and to identify the opportunities for future research.

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21

Lu, Jing Xian, Christophe Dousson, and Francine Krief. "Self-Diagnosis Architecture for QoS and QoE Management in IPTV Services over IMS Network." Applied Mechanics and Materials 610 (August 2014): 568–78. http://dx.doi.org/10.4028/www.scientific.net/amm.610.568.

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We propose an autonomic QoS and QoE management architecture based on causal graphs for IPTV services over IP access networks. Our solution achieves a global self-diagnosis process based on local knowledge of each network element using a model-based diagnosis approach. We illustrate this novel approach in an IMS platform and detail the corresponding causal graph and diagnosis process for IPTV services.

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22

Hofig, Edzard, and Peter H. Deussen. "Model-based integrated management: applying autonomic systems engineering to network and systems management." International Journal of Autonomous and Adaptive Communications Systems 4, no. 1 (2011): 100. http://dx.doi.org/10.1504/ijaacs.2011.037751.

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23

Chung, Wu-Chun, Chin-Jung Hsu, Yi-Hsiang Lin, Kuan-Chou Lai, and Yeh-Ching Chung. "G2G." International Journal of Grid and High Performance Computing 2, no. 3 (July 2010): 1–16. http://dx.doi.org/10.4018/jghpc.2010070101.

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Grid systems integrate distributed resources to form self-organization and self-management autonomies. With the widespread development of grid systems around the world, grid collaboration for large-scale computing has become a prevalent research topic. In this paper, the authors propose a meta-grid framework, named the Grid-to-Grid (G2G) framework, to harmonize autonomic grids in realizing a grid federation. The G2G framework is a decentralized management framework that is built on top of existing autonomic grid systems. This paper further adopts a super-peer network in a separate layer to coordinate distributed grid systems. A super-peer overlay network is constructed for communication among super-peers, thus enabling collaboration among grid systems. This study proposes the G2G framework for use in a Grid-to-Grid federation and implements a preliminary system as a demonstration. Experimental results show that the proposed meta-grid framework can improve system performance with little overhead.

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24

Cui, Ji Tao, and Jian Hua Han. "Exception Handling of Composite Services Based on Autonomic Management." Applied Mechanics and Materials 336-338 (July 2013): 2537–43. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.2537.

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BPEL-based composition of Web services has become one important part of business processes, but because of the dynamic and complexity of network, it easily raises various exceptions during the execution. In order to address various exceptions may exist in execution of composite Web services process effectively; this paper proposes an effective exception handling model of composite Web services in combination of the autonomic management theories and techniques in the field of autonomic computing. This model incorporates the autonomic management element of autonomic computing to monitor the execution of composite services and to compensate or restore the business process of the composite services according to the specified policy when an exception occurs. The model enhances the exception handling autonomy while reducing the complexity of exception handling of composite services.

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25

Campos, Nídia G. S., Danielo G. Gomes, Flávia C. Delicato, Augusto J. V. Neto, Luci Pirmez, and José Neuman de Souza. "Autonomic Context-Aware Wireless Sensor Networks." Journal of Sensors 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/621326.

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Autonomic Computing allows systems like wireless sensor networks (WSN) to self-manage computing resources in order to extend their autonomy as much as possible. In addition, contextualization tasks can fuse two or more different sensor data into a more meaningful information. Since these tasks usually run in a single centralized context server (e.g., sink node), the massive volume of data generated by the wireless sensors can lead to a huge information overload in such server. Here we propose DAIM, a distributed autonomic inference machine distributed which allows the sensor nodes to do self-management and contextualization tasks based on fuzzy logic. We have evaluated DAIM in a real sensor network taking into account other inference machines. Experimental results illustrate that DAIM is an energy-efficient contextualization method for WSN, reducing 48.8% of the number of messages sent to the context servers while saving 19.5% of the total amount of energy spent in the network.

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26

Bezerra, R. M. da S., and J. S. B. Martins. "Network Autonomic Management: A Tutorial with Conceptual, Functional and Practical Issues." IEEE Latin America Transactions 12, no. 2 (March 2014): 306–14. http://dx.doi.org/10.1109/tla.2014.6749553.

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27

Derbel, Hajer, Nazim Agoulmine, and Mikaël Salaün. "ANEMA: Autonomic network management architecture to support self-configuration and self-optimization in IP networks." Computer Networks 53, no. 3 (February 2009): 418–30. http://dx.doi.org/10.1016/j.comnet.2008.10.022.

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28

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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29

Samaan, Nancy, and Ahmed Karmouch. "Towards Autonomic Network Management: an Analysis of Current and Future Research Directions." IEEE Communications Surveys & Tutorials 11, no. 3 (2009): 22–36. http://dx.doi.org/10.1109/surv.2009.090303.

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30

Takahashi, Kosuke, Jong Se Park, and H. Thomas Hahn. "An addressable conducting network for autonomic structural health management of composite structures." Smart Materials and Structures 19, no. 10 (August 25, 2010): 105023. http://dx.doi.org/10.1088/0964-1726/19/10/105023.

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31

Beltrán, Fernando, Jairo A. Gutiérrez, and José Luis Melús. "How Evolving Network Access and Network Management Technologies are Redefining the Competitive Wireless Markets." International Journal of Business Data Communications and Networking 7, no. 3 (July 2011): 51–69. http://dx.doi.org/10.4018/jbdcn.2011070104.

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This paper examines some of the key problems users encounter when accessing current generation wireless networks. Using a case study of a hypothetical user, the authors explore the emerging services and the new broadband wireless network technologies necessary to carry them out. This paper analyses the issues associated with an observed trend in the industry that exposes potential changes to the long-term, rigid commercial relation between wireless providers and users: as a result of a range of evolved broadband wireless access standards and technologies, autonomic communications and policy-based management, and new pricing schemes, consumers will likely face new opportunities to enter short-term and spot contracts with the new wireless providers. This new landscape also allow multiple competing Access Providers (APs) to dynamically assign prices, and poses new and interesting challenges to the regulatory function. The paper also discusses a framework for the integration of heterogeneous technologies and management policies based on the network context that make up this emerging, hybrid wireless landscape, and describes the economic characteristics of new markets likely to arise.

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32

Boutaba, Raouf, Marcus Brunner, Stefan Schmid, and Lisandro Zambenedetti Granville. "Report of the 2nd Workshop on Autonomic Communications and Network Management (ACNM 2008)." Journal of Network and Systems Management 16, no. 3 (September 2008): 323–24. http://dx.doi.org/10.1007/s10922-008-9103-3.

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33

Portocarrero, Jesús M. T., Flávia C. Delicato, Paulo F. Pires, Nadia Gámez, Lidia Fuentes, David Ludovino, and Paulo Ferreira. "Autonomic Wireless Sensor Networks: A Systematic Literature Review." Journal of Sensors 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/782789.

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Autonomic computing (AC) is a promising approach to meet basic requirements in the design of wireless sensor networks (WSNs), and its principles can be applied to efficiently manage nodes operation and optimize network resources. Middleware for WSNs supports the implementation and basic operation of such networks. In this systematic literature review (SLR) we aim to provide an overview of existing WSN middleware systems that address autonomic properties. The main goal is to identify which development approaches of AC are used for designing WSN middleware system, which allow the self-management of WSN. Another goal is finding out which interactions and behavior can be automated in WSN components. We drew the following main conclusions from the SLR results: (i) the selected studies address WSN concerns according to the self-*properties of AC, namely, self-configuration, self-healing, self-optimization, and self-protection; (ii) the selected studies use different approaches for managing the dynamic behavior of middleware systems for WSN, such as policy-based reasoning, context-based reasoning, feedback control loops, mobile agents, model transformations, and code generation. Finally, we identified a lack of comprehensive system architecture designs that support the autonomy of sensor networking.

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34

Takahashi, Kosuke, and H. Thomas Hahn. "Autonomic thermal management of graphite fiber/epoxy composite structures using an addressable conducting network." Composites Part B: Engineering 43, no. 3 (April 2012): 833–40. http://dx.doi.org/10.1016/j.compositesb.2012.01.005.

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35

Khan, Manzoor Ahmed, Sebastian Peters, Doruk Sahinel, Francisco Denis Pozo-Pardo, and Xuan-Thuy Dang. "Understanding autonomic network management: A look into the past, a solution for the future." Computer Communications 122 (June 2018): 93–117. http://dx.doi.org/10.1016/j.comcom.2018.01.014.

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36

Seno, Sayed, Doaa Abd Ali, and Mohammed Mohammed. "EFFICIENT ROUTING PROTOCOL ALGORITHM FOR WIRELESS SENSOR NETWORKS." Iraqi Journal for Computers and Informatics 44, no. 1 (June 30, 2018): 11–17. http://dx.doi.org/10.25195/ijci.v44i1.67.

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Recently, different applications of wireless sensor networks (WSNs) in the industry fields using different data transfer protocols has been developed. As the energy of sensor nodes is limited, prolonging network lifetime in WSNs considered a significant occurrence. To develop network permanence, researchers had considered energy consuming in routing protocols of WSNs by using modified Low Energy Adaptive Clustering Hierarchy. This article presents a developed effective transfer protocols for autonomic WSNs. An efficient routing scheme for wireless sensor network regarded as significant components of electronic devices is proposed. An optimal election probability of a node to be cluster head has being presented. In addition, this article uses a Voronoi diagram, which decomposes the nodes into zone around each node. This diagram used in management architecture for WSNs.

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37

Quttoum, Ahmad Nahar. "Interconnection Structures, Management and Routing Challenges in Cloud-Service Data Center Networks: A Survey." International Journal of Interactive Mobile Technologies (iJIM) 12, no. 1 (January 23, 2018): 36. http://dx.doi.org/10.3991/ijim.v12i1.7573.

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Today’s data center networks employ expensive networking equipments in associated structures that were not designed to meet the increasing requirements of the current large-scale data center services. Limitations that vary between reliability, resource utilization, and high costs are challenging. The era of cloud computing represents a promise to enable large-scale data centers. Computing platforms of such cloud service data centers consist of large number of commodity low-price servers that, with a theme of virtualization on top, can meet the performance of the expensive high-level servers at only a fraction of the price. Recently, the research in data center networks started to evolve rapidly. This opened the path for addressing many of its design and management challenges, these like scalability, reliability, bandwidth capacities, virtual machines’ migration, and cost. Bandwidth resource fragmentation limits the network agility, and leads to low utilization rates, not only for the bandwidth resources, but also for the servers that run the applications. With Traffic Engineering methods, managers of such networks can adapt for rapid changes in the network traffic among their servers, this can help to provide better resource utilization and lower costs. The market is going through exciting changes, and the need to run demanding-scale services drives the work toward cloud networks. These networks that are enabled by the notation of autonomic management, and the availability of commodity low-price network equipments. This work provides the readers with a survey that presents the management challenges, design and operational constraints of the cloud-service data center networks

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38

Callaway, Robert D., Michael Devetsikiotis, Yannis Viniotis, and Adolfo Rodriguez. "An Autonomic Service Delivery Platform for Service-Oriented Network Environments." IEEE Transactions on Services Computing 3, no. 2 (April 2010): 104–15. http://dx.doi.org/10.1109/tsc.2010.10.

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39

Salva-Garcia, Pablo, Jose M. Alcaraz-Calero, Qi Wang, Jorge Bernal Bernabe, and Antonio Skarmeta. "5G NB-IoT: Efficient Network Traffic Filtering for Multitenant IoT Cellular Networks." Security and Communication Networks 2018 (December 10, 2018): 1–21. http://dx.doi.org/10.1155/2018/9291506.

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Internet of Things (IoT) is a key business driver for the upcoming fifth-generation (5G) mobile networks, which in turn will enable numerous innovative IoT applications such as smart city, mobile health, and other massive IoT use cases being defined in 5G standards. To truly unlock the hidden value of such mission-critical IoT applications in a large scale in the 5G era, advanced self-protection capabilities are entailed in 5G-based Narrowband IoT (NB-IoT) networks to efficiently fight off cyber-attacks such as widespread Distributed Denial of Service (DDoS) attacks. However, insufficient research has been conducted in this crucial area, in particular, few if any solutions are capable of dealing with the multiple encapsulated 5G traffic for IoT security management. This paper proposes and prototypes a new security framework to achieve the highly desirable self-organizing networking capabilities to secure virtualized, multitenant 5G-based IoT traffic through an autonomic control loop featured with efficient 5G-aware traffic filtering. Empirical results have validated the design and implementation and demonstrated the efficiency of the proposed system, which is capable of processing thousands of 5G-aware traffic filtering rules and thus enables timely protection against large-scale attacks.

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40

Raghu, Ashley Laurence Bharat, Tariq Parker, André van Wyk, and Alexander Laurence Green. "Insula stroke: the weird and the worrisome." Postgraduate Medical Journal 95, no. 1127 (July 11, 2019): 497–504. http://dx.doi.org/10.1136/postgradmedj-2019-136732.

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Infarction of the insula is a common scenario with large tissue-volume strokes in the middle cerebral artery territory. Considered to be part of the central autonomic network, infarction of this region is associated with autonomic disturbances, in particular cardiovascular dysregulation. Risk of aspiration following stroke is also associated with involvement of the insula, consistent with its purported participation in complex functions of the mouth and pharynx. Strokes restricted to the insula are rare and present with a broad range of symptoms that offer a window of insight into the diverse functionality of the insular cortex. Chemosensory, autonomic, vestibular, auditory, somatosensory, language and oropharyngeal functional deficits are all recognised, among others. Long-term sequelae are unknown but profound symptoms, such as hemiparesis, are usually transient. Understanding the patterns of dysfunction highlighted provides the basis for future strategies to optimise stroke management on the discovery of insula involvement.

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41

Schulz, Steffen, Mathias Bolz, Karl-Jürgen Bär, and Andreas Voss. "Quantification of the Central Cardiovascular Network Applying the Normalized Short-time Partial Directed Coherence Approach in Healthy Subjects." Methods of Information in Medicine 57, no. 03 (May 2018): 129–34. http://dx.doi.org/10.3414/me17-02-0002.

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Summary Background: The central control of the autonomic nervous system (ANS) and the complex interplay of its components can be described by a functional integrated mode – the central autonomic network (CAN). CAN represents the integrated functioning and interaction between the central nervous system (CNS) and ANS (parasympathetic and sympathetic activity). Objective: This study investigates the central cardiovascular network (CCVN) as a part of the CAN, during which heart rate (HR), systolic blood pressure (SYS) and frontal EEG activity in 21 healthy subjects (CON) will be analysed. The objective of this study is to determine how these couplings (central-cardiovascular) are composed by the different regulatory aspects of the CNS-ANS interaction. Methods: To quantify the short-term instantaneous causal couplings within the CCVN, the normalized short time partial directed coherence (NSTPDC) approach was applied. It is based on an m-dimensional MAR process to determine Granger causality in the frequency domain. Results: We found that CCVN were of bidirectional character, and that the causal influences of central activity towards HR were stronger than those towards systolic blood pressure. This suggests that the central-cardiac closed-loop regulation process in CON focuses mainly on adapting the heart rate via the sinoatrial node rather than focusing on SYS. The CNS-ANS coupling directions with respect to central spectral power bands were characterized as mostly bidirectional, where HR and SYS acted as drivers in nearly every frequency band (unidirectional for α, α1 and α2). Conclusion: This study provides a more indepth understanding of the interplay of neuronal and autonomic cardiovascular regulatory processes in healthy subjects, as well as a greater insight into the complex CAN.

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Campanile, Lelio, Mauro Iacono, Fiammetta Marulli, Michele Mastroianni, and Nicola Mazzocca. "Toward a Fuzzy-based Approach for Computational Load Offloading of IoT Devices." JUCS - Journal of Universal Computer Science 26, no. 11 (November 28, 2020): 1455–74. http://dx.doi.org/10.3897/jucs.2020.077.

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Technological development and market expansion offer an increased availability of resources and computing power on IoT nodes at affordable cost. The edge computing paradigm allows keeping locally on the edge of the network a part of computing, while keeping all advantages of the cloud and adding support for privacy, real-time and network resilience. This can be further improved in IoT applications by exibly harvesting resources on IoT nodes, by moving part of the computing tasks related to data from the edge server to the nodes, raising the abstraction level of the data aspects of the architecture and potentially enabling larger IoT networks to be efficiently deployed and managed, in a stand-alone logic or as a component of edge architecture. Anyway, an e_cient energy management mechanism is needed for battery powered IoT networks, the most exible implementations, that dynamically balances task allocation and execution in order to In this paper we present a fuzzy logic based power management strategy for IoT subsystem that aims at maximizing the duration of the network by locally migrating part of the computing tasks between nodes. As our goal is to enable the deployment of semi-autonomic large IoT networks, our proposal does not rely on external resources for migration control and operates on a local basis to ensure scalability: at the best of our knowledge, this differentiates our proposal with respect to similar solutions available in literature.

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Mandarawi, Waseem, Jürgen Rottmeier, Milad Rezaeighale, and Hermann de Meer. "Policy-Based Composition and Embedding of Extended Virtual Networks and SFCs for IIoT." Algorithms 13, no. 9 (September 22, 2020): 240. http://dx.doi.org/10.3390/a13090240.

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The autonomic composition of Virtual Networks (VNs) and Service Function Chains (SFCs) based on application requirements is significant for complex environments. In this paper, we use graph transformation in order to compose an Extended Virtual Network (EVN) that is based on different requirements, such as locations, low latency, redundancy, and security functions. The EVN can represent physical environment devices and virtual application and network functions. We build a generic Virtual Network Embedding (VNE) framework for transforming an Application Request (AR) to an EVN. Subsequently, we define a set of transformations that reflect preliminary topological, performance, reliability, and security policies. These transformations update the entities and demands of the VN and add SFCs that include the required Virtual Network Functions (VNFs). Additionally, we propose a greedy proactive heuristic for path-independent embedding of the composed SFCs. This heuristic is appropriate for real complex environments, such as industrial networks. Furthermore, we present an Industrail Internet of Things (IIoT) use case that was inspired by Industry 4.0 concepts, in which EVNs for remote asset management are deployed over three levels; manufacturing halls and edge and cloud computing. We also implement the developed methods in Alevin and show exemplary mapping results from our use case. Finally, we evaluate the chain embedding heuristic while using a random topology that is typical for such a use case, and show that it can improve the admission ratio and resource utilization with minimal overhead.

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Wang, Youcheng, Yongsheng Qian, Daniel Smerin, Shujuan Zhang, Qingyan Zhao, and Xiaoxing Xiong. "Newly Detected Atrial Fibrillation after Acute Stroke: A Narrative Review of Causes and Implications." Cardiology 144, no. 3-4 (2019): 112–21. http://dx.doi.org/10.1159/000502971.

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Cardiac arrhythmias occur frequently in patients with acute stroke, with atrial fibrillation (AF) being the most common. Newly detected AF may lead to increased risk of ischemic stroke, which in turn generates stroke recurrence and adverse outcomes. Currently, most studies are focusing on the role of AF in ischemic stroke and attributing cryptogenic ischemic stroke to previously undetected AF. However, in these studies, subjects used to have neither symptoms of palpitation nor evidence of AF. A better understanding of this association will contribute to the management and therapy for patients after clinical decisions regarding stroke patients. Currently, the definition of newly detected AF has not come to an agreement, and the pathophysiology remains incompletely understood, possibly involving complex alterations in both the autonomic network and humoral regulation. Therefore, this review aims to introduce the definition and epidemiology of newly detected AF after stroke with updated information and elucidate the potential pathophysiology, such as autonomic imbalance, catecholamine surge, poststroke systematic inflammation, and microvesicles and microRNAs.

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Molina Zarca, Alejandro, Miloud Bagaa, Jorge Bernal Bernabe, Tarik Taleb, and Antonio F. Skarmeta. "Semantic-Aware Security Orchestration in SDN/NFV-Enabled IoT Systems." Sensors 20, no. 13 (June 27, 2020): 3622. http://dx.doi.org/10.3390/s20133622.

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IoT systems can be leveraged by Network Function Virtualization (NFV) and Software-Defined Networking (SDN) technologies, thereby strengthening their overall flexibility, security and resilience. In this sense, adaptive and policy-based security frameworks for SDN/NFV-aware IoT systems can provide a remarkable added value for self-protection and self-healing, by orchestrating and enforcing dynamically security policies and associated Virtual Network Functions (VNF) or Virtual network Security Functions (VSF) according to the actual context. However, this security orchestration is subject to multiple possible inconsistencies between the policies to enforce, the already enforced management policies and the evolving status of the managed IoT system. In this regard, this paper presents a semantic-aware, zero-touch and policy-driven security orchestration framework for autonomic and conflict-less security orchestration in SDN/NFV-aware IoT scenarios while ensuring optimal allocation and Service Function Chaining (SFC) of VSF. The framework relies on Semantic technologies and considers the security policies and the evolving IoT system model to dynamically and formally detect any semantic conflict during the orchestration. In addition, our optimized SFC algorithm maximizes the QoS, security aspects and resources usage during VSF allocation. The orchestration security framework has been implemented and validated showing its feasibility and performance to detect the conflicts and optimally enforce the VSFs.

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Mikkilineni, Rao. "Architectural Resiliency in Distributed Computing." International Journal of Grid and High Performance Computing 4, no. 4 (October 2012): 37–51. http://dx.doi.org/10.4018/jghpc.2012100103.

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Cellular organisms have evolved to manage themselves and their interactions with their surroundings with a high degree of resiliency, efficiency and scalability. Signaling and collaboration of autonomous distributed computing elements accomplishing a common goal with optimal resource utilization are the differentiating characteristics that contribute to the computing model of cellular organisms. By introducing signaling and self-management abstractions in an autonomic computing element called Distributed Intelligent Managed Element (DIME), the authors improve the architectural resiliency, efficiency, and scaling in distributed computing systems. Described are two implementations of DIME network architecture to demonstrate auto-scaling, self-repair, dynamic performance optimization, and end to end distributed transaction management. By virtualizing a process (by converting it into a DIME) in the Linux operating system and also building a new native operating system called Parallax OS optimized for Intel-multi-core processors, which converts each core into a DIME, implications of the DIME computing model to future cloud computing services and datacenter infrastructure management practices and discuss the relationship of the DIME computing model to current discussions on Turing machines, Gödel’s theorems and a call for no less than a Kuhnian paradigm shift by some computer scientists.

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Visan, Andreea, Mihai Istin, Florin Pop, and Valentin Cristea. "Bio-Inspired Techniques for Resources State Prediction in Large Scale Distributed Systems." International Journal of Distributed Systems and Technologies 2, no. 3 (July 2011): 1–18. http://dx.doi.org/10.4018/jdst.2011070101.

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The state prediction of resources in large scale distributed systems represents an important aspect for resources allocations, systems evaluation, and autonomic control. The paper presents advanced techniques for resources state prediction in Large Scale Distributed Systems, which include techniques based on bio-inspired algorithms like neural network improved with genetic algorithms. The approach adopted in this paper consists of a new fitness function, having prediction error minimization as the main scope. The proposed prediction techniques are based on monitoring data, aggregated in a history database. The experimental scenarios consider the ALICE experiment, active at the CERN institute. Compared with classical predicted algorithms based on average or random methods, the authors obtain an improved prediction error of 73%. This improvement is important for functionalities and performance of resource management systems in large scale distributed systems in the case of remote control ore advance reservation and allocation.

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Huang, Gangjin, Hongkun Li, Jiayu Ou, Yuanliang Zhang, and Mingliang Zhang. "A Reliable Prognosis Approach for Degradation Evaluation of Rolling Bearing Using MCLSTM." Sensors 20, no. 7 (March 27, 2020): 1864. http://dx.doi.org/10.3390/s20071864.

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Prognostics and health management technology (PHM), a measure to ensure the reliability and safety of the operation of industrial machinery, has attracted attention and application adequately. However, how to use the monitored information to evaluate the degradation of rolling bearings is a significant issue for its predictive maintenance and autonomic logistics. This work presents a reliable health prognosis approach to estimate the health indicator (HI) and remaining useful life (RUL) of rolling bearings. Firstly, to accurately capture the degradation process, a novel health index (HI) is constructed based on correlation kurtosis for different iteration periods and a Gaussian process latency variable model (GPLVM). Then, a multiple convolutional long short-term memory (MCLSTM) network is proposed to predict HI values and RUL values. Finally, we perform experimental datasets of rolling bearings, demonstrating that the presented method surpasses other state-of-the-art prognosis approaches. The results also confirm the feasibility of the presented method in industrial machinery.

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Çag̃layan, M. Ufuk. "EROL GELENBE: A CAREER IN MULTI-DISCIPLINARY PROBABILITY MODELS." Probability in the Engineering and Informational Sciences 30, no. 3 (May 20, 2016): 308–25. http://dx.doi.org/10.1017/s0269964816000024.

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We focus on Erol Gelenbe's scientific and technical contributions to probability models in the computer and information sciences, but limit our survey to the last fifteen years. We start with a brief overview of his work as a single author, as well as his work in collaboration with over 200 co-authors. We discuss some of his recent and innovative work regarding a new probability model that represents Intermittent Energy Sources for Computing and Communications, introducingEnergy Packet Networkswhich are a probabilistic representation of the flow, storage and consumption of electrical energy at the microscopic level (in electronic chips), and at the macroscopic level (e.g. in buildings or data centers) and for its routing and dynamic usage by consuming units (such as computer elements, chips or machines). We next discuss his work on designing computer and communication systems that parsimoniously use energy in order to achieve a satisfactory level of quality of service (QoS). Trade-offs between system QoS and energy consumption are also considered. Then we turn to Prof. Gelenbe's pioneering work on Autonomic Communications and the design and implementation of CPN, the Cognitive Packet Network, and we also briefly review his spiking random neural network that was used in CPN. This is followed by a brief review of work that he conducted since 1999 on human evacuation from dangerous or catastrophic environments, and the design of technology driven Emergency Management Systems. His research since the late 2000s on Gene Regulatory Networks is then covered together with its application to the detecting possible disease from microarray data. Finally, we briefly discuss some novel analytical models that he developed in this period with publications appearing in journals of physics and applied mathematics.

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Gillespie, Sharon, Fiona Cowell, Candy McCabe, and Andreas Goebel. "Complex regional pain syndrome acute care pathways in England: Do they exist and what do they look like?" Hand Therapy 23, no. 3 (March 14, 2018): 95–99. http://dx.doi.org/10.1177/1758998318764182.

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Introduction Complex Regional Pain Syndrome is a condition with a high degree of morbidity and health costs to the National Health Service (NHS), characterised by persistent pain, sensory, motor, trophic and autonomic signs and symptoms. The British Orthopaedic Association (BOA) and the Royal College of Physicians (RCP) have recommended treatment guidelines and care pathways for the management of acute Complex Regional Pain Syndrome. The objective of this scoping exercise was to use Freedom of Information (FOI) requests to ascertain whether NHS Trusts in England had such pathways and what they looked like. Methods FOI requests were sent to 126 English NHS Trusts on 9 March 2017 on behalf of the Complex Regional Pain Syndrome Clinical and Research Network UK, asking: “What does your acute Complex Regional Pain Care Syndrome pathway look like?” Results Replies were received by 95 NHS Trusts and of these 84 had relevant services but (82%) had no pathway or agreed initial management. Conclusions It appears to be common for no acute care pathway to exist for CRPS in NHS Trusts in England despite it being a domain in BOA national guidelines. The Royal College of Physicians guidelines also recommend integrated MDT care. Consequentially, BOA and Royal College of Physicians standards in acute CRPS management are not yet being followed in most acute NHS Trusts in England providing trauma care. Where there is a pathway agreed, it is rarely integrated and truly multidisciplinary.

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