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5G時代的網絡智能化運維詳解 ( 簡體 字) |
作者:亞信科技(中國)有限公司 | 類別:1. -> 程式設計 -> 綜合 |
譯者: |
出版社:清華大學出版社 | 3dWoo書號: 53905 詢問書籍請說出此書號!【缺書】 NT售價: 395 元 |
出版日:1/1/2021 |
頁數:190 |
光碟數:0 |
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站長推薦: |
印刷:黑白印刷 | 語系: ( 簡體 版 ) |
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ISBN:9787302567882 |
作者序 | 譯者序 | 前言 | 內容簡介 | 目錄 | 序 |
(簡體書上所述之下載連結耗時費功, 恕不適用在台灣, 若讀者需要請自行嘗試, 恕不保證) |
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前言:叢書序 2019年6月6日,工信部正式向中國電信、中國移動、中國聯通和中國廣電四家企業發放了5G牌照。這意味著中國正式按下了5G商用的啟動鍵。可以想見,在未來的若干年中,萬眾睢睢的5G將與人工智能、云計算、大數據、物聯網等新技術一起,改變個人生活,催生行業變革,加速經濟轉型,推動社會發展,真正打造一個“萬物智聯”的多維世界。 5G將帶來個人生活方式的迭代。更加暢快的通信體驗、無處不在的AR/VR、智能安全的自動駕駛……這些都將因5G的到來而變成現實,給人類帶來更加自由、豐富、健康的生活體驗。 5G將帶來行業的革新。受益于速率的提升、時延的改善、接入設備容量的增加,5G觸發的革新將從通信行業溢出,數字化改造得以加速,新技術的加持日趨顯著,新的商業模式不斷涌現,產業的升級將讓千行百業脫胎換骨。 5G將帶來多維的跨越。C端消費與B端產業轉型將共振共生。“4G改變生活,5G改變社會”,5G時代,普通消費者會因信息技術再一次升級而享受更多便捷,千行百業的數字化、智能化轉型也會真正實現,兩者互為表里,互相助推,把整個社會的變革提升到新高度。 2019年是5G元年,也是亞信科技(中國)有限公司(簡稱亞信科技)上市后的第一個財年。作為國內領先的軟件與服務提供商、云網一體管理服務提供商,亞信科技緊扣時代發展節拍,積極擁抱5G、云計算、大數據、人工智能、物聯網等先進技術,與業界客戶、合作伙伴共同建設5G+X的生態體系,為5G賦能千行百業、企業數字化轉型、產業可持續發展積極做出貢獻。 在過去的一年中,亞信科技繼續深耕電信業務支撐軟件與服務(Business Supporting System,BSS)的優勢領域,為三大運營商的5G業務在中華大地全面商用提供了強有力的支撐。 亞信科技將能力延展到5G網絡Operation Supporting System(OSS)領域,公司打造的5G網絡智能化產品在三大運營商取得了多個商用局點的突破與落地實踐,在幫助運營商優化5G網絡環境、提升5G服務體驗的同時,公司也邁出了拓展OSS領域的堅實一步。 亞信科技在數字化運營的Data-Driven Software as a Service(DSaaS)這一創新業務板塊也取得了規模化突破。在金融、交通、能源、政府等多個領域,幫助行業客戶打造“數智”能力,用大數據和人工智能技術,協助他們獲客、活客、留客,改善服務質量,實現行業運營數字化轉型。 亞信科技在垂直行業市場服務領域進一步拓展,行業大客戶版圖進一步擴大,公司與云計算的各頭部企業達成云MSP合作,持續提升云集成、云SaaS、云運營能力,并與他們一起,幫助郵政、能源、交通、金融、零售等數十個大型行業客戶上云、用云,降低信息化支出,提升數字化效率。 亞信科技同時積極強化、完善了技術創新與研發的體系和機制。在過去的一年中,多項關鍵技術與產品獲得了國際和國家級獎項,諸多技術組合形成了國際與國家標準。5G+ABCDT的靈動組合,重塑了包括亞信科技自身在內的行業技術生態體系。“5G與AI技術大系”叢書是亞信科技在過去幾年中,以匠心精神打造我國5G軟件技術體系的創新成果與科研經驗的總結。我們非常高興能將這些階段性成果以叢書的形式與行業伙伴們分享與交流。 我國經歷了從2G落后、3G追隨、4G同步,到5G領先的歷程。在這個過程中,亞信科技從未缺席。在未來的5G時代,我們將繼續堅持以技術創新為引領,與業界合作伙伴們共同努力,為提升我國5G科技和應用水平、為國家新基建和全行業數字化轉型貢獻力量。
高念書 2020年9月于北京
前言 人類歷史上的多次信息技術革命不斷推動著社會進步與全球經濟增長,如今以數字化、網絡化、智能化為特征的新一輪信息技術革命正在蓬勃發展,新一代信息技術與傳統領域的相互融合與發展已成趨勢。這其中,5G通信技術從誕生伊始就牽動著各國在國家戰略層面的角逐。 5G帶來通信網絡能力的極大提升。根據5G的業務目標藍圖,結合運營商的業務運營訴求,5G網絡將以網絡切片為手段,基于靈活的編排、虛擬化、軟件定義能力,為不同客戶的多樣需求提供快速的資源組合配置,支持包括海量機器類通信(massive Machine Type of Communication,mMTC)、超高可靠超低時延通信 ,(ultra-Reliable Low latency Communications-Link,uRLLC)、增強移動寬帶(enhanced Mobile Broadband,eMBB)等三大類應用場景,如圖0-1所示。 5G被寄予厚望,用來滿足廣泛的業務需求和應用場景。通過對不同行業的需求分析,將豐富多樣的場景化需求梳理為一些典型的可復用的應用聚類,如圖0-2所示。運營商未來可以基于這些典型的應用聚類分別進行方案設計。這些方案可以在后期運維中不斷增強和完善。面對具體客戶時,大部分業務需求可以在應用聚類模板中直接找到可用的網絡切片方案,從而提供更快的應用交付體驗。 5G網絡從設計之初就被考慮滿足包括最終消費者、垂直行業等盡可能多樣的客戶群和應用場景。并將軟件定義網絡(Software Defi ned Networking,SDN)、網絡功能虛擬化(Network Functions Virtualization,NFV)等技術全面引入網絡架構的各個層面。在提供更好的大容量、可靠性、穩定性、靈活性的網絡和業務的同時,也給5G網絡運維工作帶來了極大的挑戰,具體表現為以下幾個方面。 ? 5G網絡運維與傳統網絡運維相比,引入了網絡和業務編排能力,編排是使5G網絡實現個性化交付的核心功能,但它不僅涉及NFV網絡,還涉及傳統物理網絡和應用的編排要求,未來還可能涉及運營商合作伙伴的網絡協作。為實現端到端的業務承諾質量,5G網絡需要提供跨接入網、傳輸網和核心網的網絡切片管理能力,同時也需要提供包括規劃、部署、維護、優化和體驗管理的全生命周期管理能力。 ? 5G網絡規模運營必須借助更加智能的支撐能力,由于5G網絡自身技術架構的復雜性和業務個性化的訴求,運維/運營自動化對于5G是必不可少的;基于人工智能和機器學習的閉環自動化,可以有效助力5G網絡運維/運營模式的變革。 ? 5G網絡被寄希望于更好地滿足垂直行業的應用,垂直行業客戶不僅需要網絡切片服務本身提供的連接能力,也可能會參與到切片管理運維中,這給現有的運維服務模式帶來了新的要求。 ? 5G服務向各垂直行業的拓展以及由此產生的大量業務數據,意味著每個業務或垂直領域都需要一套足夠靈活的客戶體驗管理手段來支持其業務。
如前面所述,5G網絡在網絡的各個層面都引入了網絡功能虛擬化和軟件定義網絡技術。這為網絡切片的實現奠定了技術基礎。從網絡運維角度考慮,下一代運維支撐系統需要具備如下能力。 ? 支持多種無線網絡接入能力。除下一代無線接入網(NG RAN)以外,還需要支持可能同時使用的2G/3G/4G接入、Wi-Fi接入,甚至各種固網接入手段。現實中的客戶,尤其是行業客戶的應用需求往往涉及不同網絡制式的綜合業務場景。 ? 支持電信云管理能力。電信云是5G核心網和未來接入網云化的基礎,邊緣云被寄希望滿足客戶的各種應用。云管能力是5G網絡運維的基礎能力之一。 ? 網絡切片能力。5G網絡切片需要基于SA網絡架構實現,其架構設計包含無線網絡切片、核心網絡切片和傳輸網絡切片三個子域,且涉及管理面、控制面和用戶面三個層面。運維支撐系統必須對這些維度實現全面的業務能力支持。 ? 自動化能力。自動化的運維能力是規模化網絡的基礎。自動化不僅僅體現在按照既定的策略自動執行的能力,隨著機器學習算法的準確性越來越高,運維規則的自動發現必將成為未來智能運維中必不可少的能力之一。 本書從5G時代通信業務變化、網絡變革、技術趨勢、AI賦能通信行業等方面闡述運營商在網絡運維中的迫切需求,并詳細介紹亞信科技(中國)有限公司(簡稱“亞信科技”)5G網絡智能化(5G NI,5G Network Intelligence)整體解決方案的架構、關鍵技術、產品優勢、應用場景與價值,以及各產品主要功能。本書參考資料可掃描如下二維碼查看: 本書由亞信科技研發中心網絡產品線編寫,編寫組成員包括歐陽曄博士、朱多智、張曉軍、王志剛、鹿巖、陳丹、柏楊、王立磊博士、雷霆、曾港、王迎、王云龍、孫杰、于會成、常亮、王辰等。 由于編者水平和精力所限,不足之處在所難免,若讀者不吝告知,不勝感激。 編者 2020年9月
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內容簡介:《5G時代的網絡智能化運維詳解》從5G時代通信業務變化、網絡變革、技術趨勢、AI賦能通信行業等方面闡述5G網絡運維中的迫切需求,讓讀者更加了解5G網絡運維的現狀和發展趨勢。 本書重點從亞信科技國內外項目的實踐出發,并結合5G全新體系架構,給廣大讀者帶來5G網絡智能化的創新思考。全書共分為11章,其中第1章和第2章主要介紹5G網絡的新運維模式,以及5G網絡運維的整體現狀和趨勢。第3∼11章結合9種創新場景案例實踐成果,通過對方案架構、業務功能和應用場景的詳細分析,系統介紹網絡智能化運維中臺體系、5G網絡業務敏捷編排、基于用戶體驗的智能化營業廳等的相關實踐經驗。 本書內容翔實豐富、深入淺出,適用于5G網絡運維學習者入門,也適合熟悉運營商企業業務支撐系統或運維支撐系統的管理規劃人員、研發實施人員和專業運維人員閱讀。 |
目錄:第1章5G網絡的新運維模式·····························1 1.1端到端的運維支撐············1 1.1.1全面的編排能力···················2 1.1.2人工智能與分析···················2 1.1.3閉環運維自動化···················2 1.1.4用戶體驗度量·······················3 1.1.5端到端的業務感知···············3 1.2業務與網絡編排················4 1.2.1網絡編排的概念···················5 1.2.2網絡編排的層次···················6 1.2.3網絡編排的實現···················8 1.3閉環自動化······················11 1.3.1運維自動化·························11 1.3.2自動排障·····························12 1.3.3自動業務優化·····················13 1.4人工智能與分析··············15 1.4.1智能自治網絡的分層架構···········································15 1.4.2智能自治網絡的階段劃分···········································16 1.5基于用戶體驗的度量················································19 1.5.1用戶體驗“調研”的大數據實現·······························19 1.5.2提升客戶體驗與感知的關鍵操作·······························19 第2章5G網絡運維的現狀和趨勢····················23 2.15G網絡下的新運維特點··········································23 2.1.15G網絡下的云化/虛擬化··········································24 2.1.2網絡功能服務化·················28 2.1.3網絡計算邊緣化·················30 2.1.4網絡開放以及模塊化···················································35 2.1.55G網絡商業模式特點·················································39 2.1.65G網絡運維特點小結···············42 2.25G網絡運維技術方法演進······································46 2.2.1SDN/NFV結合實現網絡自動化·································46 2.2.25G網絡運維向DevOps/NetOps演進························47 2.2.3AIOps提升運維自動化···············································49 2.3國內外標準化現狀··········50 2.3.1國際電信聯盟電信標準分局·······································50 2.3.2歐洲電信標準化協會···················································52 2.3.3第三代合作伙伴計劃···················································54 2.3.4電信管理論壇·····················55 2.3.5全球移動通信系統協會···············································56 2.3.6中國通信標準化協會···················································57 2.45G網絡運維方案架構··············································58 2.4.1標準化組織提出的網絡架構·······································58 2.4.2國外運營商的5G網管架構········································61 2.4.3中國三大運營商的下一代網管架構···························62 2.4.4基于中臺思想的新網絡新網管···································65 第3章網絡智能化運維中臺體系······················67 3.1中臺的概念和作用··········67 3.2面向網絡域的中臺體系············································68 3.3構建網絡中臺實踐及案例········································69 3.3.1技術中臺實現統一技術管控·······································69 3.3.2數據中臺實現運維數據治理和共享···························70 3.3.3AI中臺賦能運維智能化··············································71 3.3.4網絡業務中臺構建運維能力中心·······························72 3.3.5運維能力共享及能力開放平臺···································78 第4章5G網絡業務敏捷編排···························81 4.15G網絡資源編排自動化··········································81 4.1.15G時代的網絡資源編排·············································81 4.1.2網絡資源編排的落地實踐···········································81 4.2AIOps智能運維場景自動化·····································87 4.2.1AIOps運維場景·················87 4.2.2面向運維的AI算法及應用·········································89 4.2.3智能化運維自動化實踐···············································91 4.3DataOps業務數據編排自動化·································97 4.3.1數據中臺的數據編排能力詳解···································98 4.3.2網絡數據共享編排案例·············································104 4.4DevOps應用集成部署自動化································110 第5章基于用戶體驗的智能化營業廳實戰······112 5.1運營商全渠道“營服”的三大變化······················112 5.1.1線上交易和線下體驗相結合·····································113 5.1.2存量經營以及渠道的新定位·····································114 5.1.3全渠道融合發展實施案例·········································115 5.2線上精準感知驅動線下精準營銷實戰··················117 5.2.1線下推廣和線上營銷·················································117 5.2.2網上營業廳的用戶行為感知·····································118 5.2.3精準感知及營銷五步法·············································119 第6章網絡效能分析驅動網絡節能應用··········121 6.15G網絡節能的驅動力············································121 6.2網絡效能評估體系··················································122 6.2.1效能評估指標選擇···········122 6.2.2效能評估算法應用···········124 6.2.3效能評估應用實戰···········126 6.3智能網絡節能安全評估····················127 6.3.1智能網絡節能小區覆蓋評估·····································127 6.3.2智能網絡節能負荷均衡風險評估·····························128 6.3.3節能指令自動執行異常保障·····································130 6.4智能網絡節能應用實戰··········································133 6.4.14G智能網絡節能應用···············································133 6.4.25GNSA網絡節能應用··············································135 6.4.3基于AI的4G/5G基站協同節能實戰······················137 第7章智能化網絡切片編排管理實戰·············138 7.1網絡資源切片化············138 7.1.1多樣化的業務需求···········138 7.1.2切片化的5G網絡············142 7.2智能化切片保障············146 7.2.1切片智能化標準···············146 7.2.2切片智能化保障實戰·················································148 第8章網絡故障智能異常檢測實戰·················155 8.1網絡異常檢測概念··················································155 8.2借助人工智能技術進行網絡故障異常檢測··········155 8.2.1異常檢測的關鍵技術點·············································156 8.2.2異常檢測的整體流程·················································160 第9章智能分析網絡告警根因定位實戰··········162 9.1傳統人工網絡根因定位的弊端······························162 9.2智能分析網絡告警根因定位關鍵技術與實戰流程························162 9.2.1智能分析網絡告警根因定位的關鍵技術點·············162 9.2.2智能告警根因分析實戰流程·····································166 第10章面向用戶的主動式運維······················169 10.1數據驅動的客戶體驗閉環管理····························169 10.1.1從感知到認知再到預知···········································170 10.1.2體驗優化和閉環評估···············································171 10.2主動式運維實戰··········172 10.2.1主動式運維的技術實現···········································172 10.2.2用戶級體驗閉環管理···············································173 10.2.3區域化體驗閉環管理···············································174 第11章無線網絡運維智能化··························176 11.1網絡運維工具··············176 11.1.15G無線網架構···············176 11.1.2無線資源虛擬化·············180 11.1.3網絡功能虛擬化·············180 11.2智能網絡運維實戰················································182 11.2.1基于神經網絡的室內外用戶區分···························184 11.2.2無線網絡智慧運營分析平臺···································185 11.2.3無線告警根因分析實戰···········································187 11.2.4人工智能技術在網絡節能增效中的應用···············189 結束語·········································19
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