《算力網路詳解 卷3：算網大數據》是2023年清華大學出版社出版的圖書，作者是羅峰、張東飛、高智芳。
基本介紹
- 中文名：算力網路詳解 卷3：算網大數據
- 作者：羅峰、張東飛、高智芳
- 出版社：清華大學出版社
- 出版時間：2023年1月1日
- ISBN：9787302623724
內容簡介,圖書目錄,
內容簡介
未來十年將是算力網路（簡稱算網）蓬勃發展的十年，未來算網大數據的發展重點將聚焦在邊緣計算、分散式協同計算、數據編織、隱私計算等核心技術領域。本書通過對這些核心領域的介紹，幫助讀者快速了解和掌握算網大數據技術及套用場景。
本書共四篇 14 章：第一篇（第 1~3 章）介紹算力、算力網路的基本概念和算力網路驅動的大數據發展趨勢；第二篇（第 4~7 章）介紹面向算力網路的大數據關鍵技術，包括邊緣計算、分散式協同計算、數據編織、隱私計算等內容；第三篇（第 8~10 章）介紹大數據技術在算力網路中的具體套用；第四篇（第 11~14 章）介紹與算力網路結合的大數據套用場景及未來展望。
圖書目錄
第一篇 算力網路與大數據
第 1 章 算力概述 ············································································2
1.1 算力是什麼················································································· 3
1.1.1 計算工具的發展歷史 ······································································ 3
1.1.2 算力的內涵和外延 ········································································· 5
1.2 無處不在的現代算力····································································· 6
1.2.1 算力的分類 ·················································································· 6
1.2.2 典型算力平台 ··············································································· 8
1.3 算力，新時代的生產力·································································10
1.3.1 算力成為數據經濟新引擎 ·······························································10
1.3.2 信息消費持續釋放算力需求 ····························································11
1.3.3 算力助力數字世界和物理世界無縫融合 ·············································12
第 2 章 算力網路 ·········································································· 14
2.1 算力網路因何而生·······································································15
2.1.1 連線算力“消費方”和算力“提供方” ·············································15
2.1.2 從“雲網”到“算網” ··································································16
2.2 理解算力網路·············································································18
2.2.1 算力網路的概念 ···········································································18
2.2.2 算力網路功能需求 ········································································19
2.2.3 算力網路關鍵技術 ········································································20
2.2.4 算力網路的體系架構 ·····································································23
2.3 算力網路發展展望·······································································25
2.3.1 算力網路發展階段 ········································································26
2.3.2 算力網路面臨的挑戰 ·····································································26
第 3 章 算力網路提升大數據發展 ····················································· 28
3.1 數據融入經濟社會發展各領域························································28
3.2 跨地域數據協同··········································································30
3.2.1 雲邊數據協同 ··············································································30
3.2.2 分散式雲數據中心 ········································································31
3.3 跨行業數據流通··········································································33
3.3.1 全鏈路數據治理，提供高品質數據供給 ·············································34
3.3.2 開展數據資產化作業，釋放數據要素化價值 ·······································34
3.3.3 充分利用已有資源與能力，開創數據增值服務體系 ······························35
第二篇? 面向算力網路的大數據關鍵技術
第 4 章 邊緣計算 ·········································································· 38
4.1 邊緣計算簡介·············································································38
4.1.1 邊緣計算的定義及發展趨勢 ····························································38
4.1.2 邊緣計算與傳統雲計算的區別 ·························································40
4.2 邊緣計算技術特點分析·································································42
4.2.1 低延時性 ····················································································42
4.2.2 去中心化 ····················································································43
4.2.3 低頻寬消耗 ·················································································44
4.2.4 高安全可靠性 ··············································································44
4.2.5 非寡頭化 ····················································································44
4.2.6 綠色節能 ····················································································45
4.3 邊緣大數據技術··········································································45
4.3.1 邊緣計算參考技術架構 ··································································45
4.3.2 邊緣計算核心技術 ········································································47
4.4 邊緣大數據技術套用場景······························································55
4.4.1 智慧園區邊緣大數據套用 ·······························································55
4.4.2 平安城市邊緣大數據套用 ·······························································58
第 5 章 分散式協同計算 ································································· 64
5.1 分散式協同計算簡介····································································64
5.2 分散式協同計算架構····································································66
5.3 分散式協同計算關鍵技術······························································67
5.3.1 數據跨域協同交換 ········································································67
5.3.2 分散式任務編排調度 ·····································································73
5.3.3 節點分區可用性保障 ·····································································78
5.3.4 異常任務按需重做 ········································································78
5.3.5 協同控制代理 ··············································································79
5.4 分散式協同計算套用場景······························································81
5.4.1 協同計算在智慧交通場景中的套用 ···················································81
5.4.2 協同計算在智慧型家庭場景中的套用 ···················································82
第 6 章 數據編織 ·········································································· 84
6.1 數據編織技術·············································································84
6.1.1 數據編織的起源 ···········································································84
6.1.2 數據編織的定義 ···········································································85
6.1.3 數據編織需要具備的能力 ·······························································88
6.1.4 數據編織架構關鍵組成 ··································································93
6.2 數據虛擬化技術實現····································································94
6.2.1 數據虛擬化的定義及能力 ·······························································94
6.2.2 數據虛擬化的技術實現 ··································································97
6.2.3 數據虛擬化開源技術介紹 ····························································· 100
6.3 數據虛擬化套用場景·································································· 104
6.3.1 電信行業套用場景 ······································································ 104
6.3.2 線上教育行業套用場景 ································································ 105
6.3.3 物聯網行業套用場景 ··································································· 106
第 7 章 隱私計算 ········································································ 108
7.1 隱私計算的起源與發展······························································· 109
7.1.1 隱私計算的起源 ········································································· 109
7.1.2 隱私計算的政策環境 ··································································· 109
7.1.3 隱私計算的市場發展 ··································································· 111
7.1.4 隱私計算的發展展望 ··································································· 113
7.2 隱私計算體系··········································································· 114
7.2.1 隱私計算的概念 ········································································· 114
7.2.2 隱私計算體系架構 ······································································ 115
7.3 隱私計算技術介紹····································································· 116
7.3.1 多方安全計算 ············································································ 118
7.3.2 聯邦學習 ·················································································· 123
7.3.3 可信執行環境 ············································································ 124
7.3.4 區塊鏈技術輔助隱私計算 ····························································· 126
7.4 隱私計算套用場景····································································· 129
7.4.1 金融行業 ·················································································· 129
7.4.2 醫療健康行業 ············································································ 130
7.4.3 政務行業 ·················································································· 131
第三篇? 大數據技術賦能算力網路
第 8 章 湖倉一體的算網數據中心 ··················································· 134
8.1 算力網路數據存算需求······························································· 134
8.1.1 算力網路中的數據 ······································································ 134
8.1.2 數據存算需求 ············································································ 136
8.2 湖倉一體技術介紹····································································· 137
8.2.1 湖倉一體技術發展背景 ································································ 137
8.2.2 湖倉一體技術架構 ······································································ 139
8.2.3 湖倉一體關鍵技術 ······································································ 143
8.2.4 湖倉一體開源技術 ······································································ 152
8.2.5 湖倉一體套用場景 ······································································ 163
8.3 算力網路數據中心的定位及作用··················································· 166
8.3.1 算力網路數據中心定位 ································································ 166
8.3.2 數據賦能算力網路運行 ································································ 169
8.4 基於湖倉一體技術的算力網路數據中心 ········································· 172
8.4.1 為什麼選擇湖倉一體技術 ····························································· 172
8.4.2 算力網路數據中心基於湖倉一體技術的具體實現 ······························· 174
第 9 章 算力網路中的數據治理 ······················································ 176
9.1 算力網路數據治理需求······························································· 176
9.2 數據治理技術發展····································································· 177
9.2.1 跨域數據治理 ············································································ 177
9.2.2 調度能力互通與治理套用 ····························································· 179
9.2.3 數據全生命周期安全保障機制 ······················································· 183
9.3 算力網路中數據治理的實踐價值··················································· 187
第 10 章 算力網路交易運營中的隱私計算 ········································· 189
10.1 算力網路運營交易介紹 ····························································· 189
10.1.1 算力網路交易模式 ····································································· 189
10.1.2 算力網路交易中的隱私計算架構實現 ············································· 192
10.1.3 算力網路交易中的隱私計算流程 ··················································· 195
10.1.4 算力網路交易中的隱私計算核心功能 ············································· 196
10.1.5 算力網路交易風險及評估 ···························································· 199
10.2 隱私計算技術在算力網路交易中的價值體現 ·································· 202
10.2.1 數據可信流通 ··········································································· 202
10.2.2 數據價值釋放 ··········································································· 204
10.2.3 數據存證溯源 ··········································································· 207
第四篇? 算力網路時代大數據套用場景和發展展望
第 11 章 東數西算 ······································································· 212
11.1 東數西算，國家政策引導 ·························································· 212
11.2 圍繞五個一體化推進東數西算的實施 ··········································· 214
11.2.1 網路一體化建設，保障大數據的高效傳輸 ······································· 215
11.2.2 能源一體化，推動大數據的低碳運營 ············································· 217
11.2.3 算力一體化，構建算力一張網 ······················································ 220
11.2.4 數據安全保障數據的安全流通共享 ················································ 222
11.2.5 基於數據要素構建城市大腦 ························································· 224
11.3 東數西算，典型套用場景 ·························································· 225
11.3.1 線上推理向東，離線分析向西 ······················································ 226
11.3.2 資源託管 ················································································· 226
11.3.3 數據存儲與災備 ········································································ 228
第 12 章 加速數位化轉型 ······························································ 230
12.1 雲邊協同數據套用 ··································································· 231
12.1.1 車路協同套用場景 ····································································· 231
12.1.2 IoT 數據本地處理助力智慧型製造 ···················································· 232
12.1.3 雲邊協同在雲遊戲場景中的套用 ··················································· 234
12.2 賦能 AI，推動智慧型套用 ···························································· 237
12.2.1 助力生命科學 ··········································································· 237
12.2.2 助力綠色計算 ··········································································· 238
12.2.3 推動自動駕駛落地 ····································································· 239
12.3 數位化、智慧型化推動企業發展 ···················································· 240
12.3.1 知識管理，助力企業智慧型化“蛻變” ············································· 241
12.3.2 從企業數位化到管理決策智慧型化 ··················································· 241
第 13 章 讓生活環境更美好 ··························································· 244
13.1 智慧家庭 ··············································································· 244
13.1.1 以家庭寬頻作為智慧家庭服務的入口 ············································· 245
13.1.2 以網際網路電視作為家庭娛樂作業系統 ············································· 245
13.1.3 以能力開放來構築智慧家庭產業生態 ············································· 246
13.2 智慧社區 ··············································································· 247
13.2.1 智慧物業 ················································································· 248
13.2.2 智慧社區生活 ··········································································· 249
13.2.3 智慧社區管理平台服務 ······························································· 249
第 14 章 “算力網路 + 大數據”發展展望 ········································ 251
14.1 數據安全與隱私保護 ································································ 251
14.2 綠色計算，數字減碳 ································································ 253
