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        Recently, cloud computing has become a vital part that supports people’s normal lives and production. However, accompanied by the increasing complexity of the , failures constantly keep coming up and cause huge economic losses. Thus, to guarantee the performance and prevent execrable effects caused by failures, diagnostics has become of great interest for cloud service providers. Due to the characteristics of (e.g., virtualization and multi-tenancy), transplanting traditional network diagnostic tools to the face several difficulties. Additionally, many existing tools cannot solve problems in the . In this paper, we summarize and classify the state-of-the-art technologies of cloud diagnostics which can be used in the production according to their features. Moreover, we analyze the differences between diagnostics and traditional based on the characteristics of the . Considering the operation requirements of the , we propose the points that should be cared about when designing a diagnostic tool. Also, we discuss the challenges that diagnostics will face in future development.

        Yining Qi ,   Chongrong Fang   et al.
        is an industry standard practice for evaluating transceiver performance in wireless devices. For the wireless systems with high integration, OTA testing is probably the only reliable method to accurately measure the transceiver performance, suitable for certification as well as for providing feedback for design verification and optimization. Further, technology is extensively applied for stable connection, high throughput rate, and low latency. In this paper, we provide an overview of the three main methods for evaluating the MIMO OTA performance, namely, the method, the method, and the method, with the aim of providing a useful guideline for developing effective in future 5G-and-beyond wireless systems.

        Jun Li ,   Yihong Qi   et al.
        This paper studies the sampled data based problem of s with s, where velocity measurements for each agent are unavailable. A novel controller for second-order containment is put forward via intermittent measurement. Several necessary and sufficient conditions are derived to achieve intermittent sampled by means of analyzing the relationship among control gains, eigenvalues of the Laplacian matrix, the sampling period, and the . Finally, several simulation examples are used to testify the correctness and effectiveness of the theoretical results.

        Fuyong Wang ,   Zhongxin Liu   et al.
        This study investigates the problem of a nonlinear discrete-time multi-agent system (MAS) under bounded additive disturbances. We propose a self-triggered robust algorithm. A new cost function is constructed and MAS is coupled through this function. Based on the proposed cost function, a self-triggered mechanism is adopted to reduce the communication load. Furthermore, to overcome additive disturbances, a local minimum– maximum optimization problem under the worst-case scenario is solved iteratively by the model predictive controller of each agent. Sufficient conditions are provided to guarantee the iterative feasibility of the algorithm and the of the closed-loop MAS. For each agent, we provide a concrete form of compatibility constraint and a error terminal region. Numerical examples are provided to illustrate the effectiveness and correctness of the proposed algorithm.

        Jiaqi Li ,   Qingling Wang   et al.

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