Pervasive Computing: Next Generation Platforms for Intelligent Data Collection (Intelligent Data-Centric Systems: Sensor Collected Intelligence)

Pervasive Computing: Next Generation Platforms for Intelligent Data Collection presents current advances and state-of-the-art work on methods, techniques, and algorithms designed to support pervasive collection of data under ubiquitous networks of devices able to intelligently collaborate towards common goals.

Using numerous illustrative examples and following both theoretical and practical results the authors discuss: a coherent and realistic image of today’s architectures, techniques, protocols, components, orchestration, choreography, and developments related to pervasive computing components for intelligently collecting data, resource, and data management issues; the importance of data security and privacy in the era of big data; the benefits of pervasive computing and the development process for scientific and commercial applications and platforms to support them in this field.

Pervasive computing has developed technology that allows sensing, computing, and wireless communication to be embedded in everyday objects, from cell phones to running shoes, enabling a range of context-aware applications. Pervasive computing is supported by technology able to acquire and make use of the ubiquitous data sensed or produced by many sensors blended into our environment, designed to make available a wide range of new context-aware applications and systems. While such applications and systems are useful, the time has come to develop the next generation of pervasive computing systems. Future systems will be data oriented and need to support quality data, in terms of accuracy, latency and availability.

Pervasive Computing is intended as a platform for the dissemination of research efforts and presentation of advances in the pervasive computing area, and constitutes a flagship driver towards presenting and supporting advanced research in this area.

• Offers a coherent and realistic image of today’s architectures, techniques, protocols, components, orchestration, choreography, and development related to pervasive computing
• Explains the state-of-the-art technological solutions necessary for the development of next-generation pervasive data systems, including: components for intelligently collecting data, resource and data management issues, fault tolerance, data security, monitoring and controlling big data, and applications for pervasive context-aware processing
• Presents the benefits of pervasive computing, and the development process of scientific and commercial applications and platforms to support them in this field
• Provides numerous illustrative examples and follows both theoretical and practical results to serve as a platform for the dissemination of research advances in the pervasive computing area

《普遍計算：智能數據收集的下一代平台》介紹了當前的進展和最新工作，這些工作針對在能夠智能協作實現共同目標的普遍設備網絡下，支持普遍數據收集的方法、技術和算法。

作者通過眾多實例，從理論和實踐結果兩方面討論了以下內容：今天的架構、技術、協議、組件、編排、編舞和與普遍計算組件相關的發展，以支持智能地收集數據、資源和數據管理問題；在大數據時代，數據安全和隱私的重要性；普遍計算的好處以及科學和商業應用和平台的發展過程，以支持這一領域。

普遍計算已經發展出技術，可以將感知、計算和無線通信嵌入到日常物品中，從手機到跑鞋，實現了一系列上下文感知應用。普遍計算得到了能夠獲取和利用我們環境中許多傳感器感測或生成的無所不在的數據的技術的支持，旨在提供各種新的上下文感知應用和系統。儘管這些應用和系統很有用，但現在是開發下一代普遍計算系統的時候了。未來的系統將以數據為導向，需要支持質量數據，包括準確性、延遲和可用性。

《普遍計算》旨在成為研究努力的傳播平台，並展示普遍計算領域的先進研究。

- 提供了對今天的架構、技術、協議、組件、編排、編舞和與普遍計算相關的發展的一個連貫而現實的形象
- 解釋了下一代普遍數據系統發展所需的最新技術解決方案，包括：智能數據收集組件、資源和數據管理問題、容錯能力、數據安全、監控和控制大數據，以及普遍上下文感知處理的應用
- 展示了普遍計算的好處，以及科學和商業應用和平台在這一領域的發展過程
- 提供了眾多實例，並跟踪理論和實踐結果，作為普遍計算領域研究進展的傳播平台