کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6880001 | 1443299 | 2018 | 32 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Understanding autonomic network management: A look into the past, a solution for the future
ترجمه فارسی عنوان
درک مدیریت شبکه اتومی: نگاهی به گذشته، راه حل برای آینده
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کلمات کلیدی
MLBMDTFTPMPLSFIPHMMRRCPDPSnMPVNFTMNCORBACMIPMROCNMModulation and coding schemeSDNPRBCBRQoEEPSCACONFIoTSLAMCsMMEQoSNKBNFVOWLRSUANMO&M - A & MOMG - آه خدای منBase station - ایستگاه پایهInternet of Things - اینترنت چیزها یا اینترنت اشیاءMAS - بیشترMulti-protocol label switching - تعویض برچسب چند پروتکلRadio Access Network - دسترسی به شبکه رادیوWeb ontology language - زبان هستی شناسی وبWeb service - سرویس وبMulti-agent system - سیستم عامل چندگانهSoftware Defined Networking - شبکه تعریف شده توسط نرم افزارMobile ad-hoc network - شبکه تلفن همراه ad-hocRån - شتمoperation and maintenance - عملیات و نگهداریSON - فرزند پسرNetwork Function Virtualization - مجازی سازی عملکرد شبکهHidden Markov model - مدل پنهان مارکوف Network management - مدیریت شبکهCommon Object Request Broker Architecture - معمار معمار درخواست درخواست مشترکMANET - منتAccess point - نقطه دسترسیNEM - نهartificial intelligence - هوش مصنوعیfile transfer protocol - پروتکل انتقال فایلCall admission control - کنترل پذیرش تماس بگیریدQuality of experience - کیفیت تجربهQuality of service - کیفیت خدمات
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
The evolution of mobile network technologies and their vertical integration, heterogeneity of applications, and the advent of sophisticated end-user devices have continuously been expanding the complexity of network management tasks. In addition, there is a significant urge for the dynamic reconfiguration of networks to meet operators' costs and to achieve their performance objectives. These facts substantiate the idea of pushing the classical human dependent network management approaches out of the equation to a great extent. The vast scope of network management makes it difficult to have a common understanding and definition, which is often noticeable in different research articles. The situation is further worsened by the network evolution timeline that traverses several technological shifts, such as the time when computer networks and mobile networks were far apart, to the time of fully IP-based and converged networks. Hence, one of the main aims of this paper is to provide a study of the network management evolution in general and in particular the concepts of autonomic network management, so that researchers may be equipped to understand the involved concepts. To achieve the aforementioned objective, the authors carried out an elaborate analysis of the different network management approaches, mapped them to a timeline, and discussed their features. This analysis sets the stage for an extensive discussion of the enabling concepts of autonomic network management, followed by a survey of research projects targeting the advancement of the autonomic networking vision. Having identified incomplete realizations of autonomic network management due to simplifying assumptions, this paper focused on the relevant aspects of architectural construction with the presentation of the core challenges to be addressed so as to realize a fully autonomic network management framework. These challenges led us to reconstruct the design goals that the contributions of this work were built upon. The first proposal of this paper is to deploy intelligent software agents on different hierarchical layers of the proposed mobile network architecture. The agents implement different stages of cognitive control loops and contribute to learning algorithms for various management tasks. CoDIPAS-RL learning framework is used for layer specific learning decisions. To advance the autonomic network management, the authors also propose a novel idea of self-learning that enables the meta-learning vision. This paper concludes with a discussion on the implementation of our autonomic network management framework and with a use case that shows the performance of the proposed approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Communications - Volume 122, June 2018, Pages 93-117
Journal: Computer Communications - Volume 122, June 2018, Pages 93-117
نویسندگان
Manzoor Ahmed Khan, Sebastian Peters, Doruk Sahinel, Francisco Denis Pozo-Pardo, Xuan-Thuy Dang,