Mobile Cloud Computing: Architectures, Algorithms and Applications (Hardcover)
Debashis De
- 出版商: Chapman and Hall/CRC
- 出版日期: 2015-12-24
- 售價: $3,375
- 貴賓價: 9.5 折 $3,206
- 語言: 英文
- 頁數: 377
- 裝訂: Hardcover
- ISBN: 1482242834
- ISBN-13: 9781482242836
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相關分類:
Algorithms-data-structures、雲端運算
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相關翻譯:
移動雲計算:架構、算法與應用 (簡中版)
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商品描述
Minimize Power Consumption and Enhance User Experience
Essential for high-speed fifth-generation mobile networks, mobile cloud computing (MCC) integrates the power of cloud data centers with the portability of mobile computing devices. Mobile Cloud Computing: Architectures, Algorithms and Applications covers the latest technological and architectural advances in MCC. It also shows how MCC is used in health monitoring, gaming, learning, and commerce.
The book examines computation within a mobile device; the evolution, architecture, and applications of cloud computing; the integration of mobile computing and cloud computing; offloading strategies that address constraints such as poor battery life; and green technologies to optimize mobile power consumption. It also presents various resource allocation schemes of MCC, the architecture and applications of sensor MCC, the new concept of mobile social cloud, security and privacy issues in MCC, and different types of trust in MCC.
In addition, the book explains how to integrate MCC with vehicular networks, compares economic models, and explores the application of MCC to mobile learning, vehicle monitoring, digital forensic analysis, health monitoring, and other areas. The book concludes with a discussion of possible solutions to challenges such as energy efficiency, latency minimization, efficient resource management, billing, and security.
商品描述(中文翻譯)
最小化功耗並增強使用者體驗
高速第五代行動網路所必需的行動雲端運算(Mobile Cloud Computing, MCC)將雲端資料中心的強大能力與行動運算裝置的便攜性結合。《行動雲端運算:架構、演算法與應用》介紹了MCC領域中最新的技術和架構進展,並展示了MCC在健康監測、遊戲、學習和商業等領域的應用。
本書探討了行動裝置內的運算、雲端運算的演進、架構和應用、行動運算與雲端運算的整合、解決諸如電池續航力不足等限制的卸載策略,以及優化行動功耗的綠色技術。此外,本書還介紹了MCC的各種資源分配方案、感測器MCC的架構和應用、行動社交雲的新概念、MCC中的安全和隱私問題,以及不同類型的信任在MCC中的應用。
此外,本書還解釋了如何將MCC與車載網路整合,比較了經濟模型,並探討了MCC在移動學習、車輛監測、數位取證分析、健康監測等領域的應用。最後,本書討論了能源效率、延遲最小化、有效資源管理、計費和安全等挑戰的可能解決方案。