Future Technologies Supporting the Convergence of Mobile, Wearables, and IoT

Gabi Zodik
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引用次数: 5

Abstract

The next wave in computing is the convergence of Mobile, Wearables, and IoT. This talk presents technologies from IBM Research enabling this transformation, and give use-cases from various industries: 1) describe integration technologies for tying together mobile devices, wearables, sensors, and cloud, as well as equipping mobile devices with the ability to sense and control the physical environment, 2) illustrate new analytic models for leveraging the vast amounts of data generated, off-line and in real-time, to optimize processes, 3) address privacy requirements by allowing users control over their information, and (4) show new tools for building, securing, and optimizing the applications that run across this heterogeneous infrastructure. In addition we shall take a peek into, the next wave in computing that will need to exploit data and computing at the edge of the network. For example, contextual programming is emerging as the next significant change in way we develop Mobile apps, where real-time pro-active decisions are made based upon the mobile context (e.g., Location, time of day, current user task) of a specific user or group of users. To meet the needs of such use-cases, a new paradigm, which we call Adhoc computing, is emerging. This paradigm needs to deal with massive amounts of devices, sensors, and data, both at the edge and in business systems, and must be able to react context in close to real-time. Furthermore, it must handle the heterogeneity in devices/OSs, as well as the lack of reliability, security and/or trust of these devices, and must be able to learn and improve over time. In this collaborative session, we give vertical industry and cross-industry use-cases, and describe IBM technologies and solutions for this new class of computing.
支持移动、可穿戴和物联网融合的未来技术
计算的下一波浪潮是移动、可穿戴设备和物联网的融合。本次演讲将介绍IBM研究院实现这一转变的技术,并给出来自不同行业的用例:1)描述将移动设备、可穿戴设备、传感器和云连接在一起的集成技术,以及为移动设备配备感知和控制物理环境的能力;2)说明利用生成的大量数据的新分析模型,离线和实时,优化流程;3)通过允许用户控制他们的信息来解决隐私要求;并优化跨异构基础设施运行的应用程序。此外,我们还将窥探下一波需要利用网络边缘数据和计算的计算。例如,上下文编程正在成为我们开发移动应用程序的下一个重大变化,其中基于特定用户或用户组的移动上下文(例如,位置,一天中的时间,当前用户任务)做出实时主动决策。为了满足这些用例的需求,一种新的范式,我们称之为Adhoc计算,正在出现。这种范式需要处理边缘和业务系统中的大量设备、传感器和数据,并且必须能够接近实时地对上下文做出反应。此外,它必须处理设备/操作系统的异构性,以及这些设备缺乏可靠性、安全性和/或信任度,并且必须能够随着时间的推移而学习和改进。在这个协作会议中,我们给出了垂直行业和跨行业用例,并描述了这种新型计算的IBM技术和解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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