In this tutorial paper, a comprehensive survey is given on several major systematic approaches in dealing with delay-aware control problems, namely the equivalent rate constraint approach, the Lyapunov stability drift approach and the approximate Markov Decision Process (MDP) approach using stochastic learning. These approaches essentially embrace most of the existing literature regarding delay-aware resource control in wireless systems. They have their relative pros and cons in terms of performance, complexity and implementation issues. For each of the approaches, the problem setup, the general solution and the design methodology are discussed. Applications of these approaches to delay-aware resource allocation are illustrated with examples in single-hop wireless networks. Furthermore, recent results regarding delay-aware multi-hop routing designs in general multi-hop networks are elaborated.Finally, the delay performance of the various approaches are compared through simulations using an example of the uplink OFDMA systems. Index TermsDelay-aware resource control, large deviation theory, Lyapunov stability, Markov decision process, stochastic learning.

As human society enters the big data era, huge data storage and energy‐efficient data processing are in great demand. The resistive switching device is an emerging device with both inherent memory and computation capabilities. It may bring disruptive influences to modern information technology from bottom up. After decades of study of the materials, mechanisms, and devices, the maturity of the resistive switching device in various applications, for example, nonvolatile memory, artificial neural networks, and information security, could be foreseen. Herein, the recent progress of the resistive switching device from the aspects of materials, devices, and applications is reviewed. First, the resistive switching device, including mechanisms and materials, is briefly discussed. Performance improvement methods with respect to individual device properties are systematically illustrated. Second, characterization technologies for understanding the mechanism and guidance of device design are classified and discussed in depth. Third, various applications based on resistive switching devices are summarized. The review ends with a brief conclusion concerning the challenges from mechanism to algorithm level and the future outlook.

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