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Replacing organic liquid electrolytes (LEs) in lithium‐ion batteries (LIBs) with solid‐state electrolytes (SSEs) to achieve all‐solid‐state lithium batteries (ASSLBs) with improved safety and potential higher energy density has been attracting growing attention for their wide application in various electronic devices, electric vehicles and renewable energy integration. To achieve high‐performance ASSLBs, the design of SSEs with high ionic conductivity, easy processability, and compatible and stable interfaces with the cathode and anode has become a research priority in recent years. Among all the challenges and issues concerning interfaces, the mechanisms and suppression methods of interfacial reactions are particularly important in the rational design of efficient electrolyte/electrode interfaces. This review mainly focuses on interfacial reactions in various types of inorganic ASSLBs and significant negative effects on battery performance. We also highlight advanced characterization methods and summarize some notable approaches to stabilize interfaces. Finally, we believe the scientific prospect of ASSLBs interface research will be helpful to keep pace with future research trends.

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Abstract-This paper aims to design efficient data forwarding schemes based on social similarity for mobile social networks (MSNs) without infrastructure support. Diverse definitions of social similarity, acting as the criteria of relay selection, produce various forwarding schemes; and the appropriateness and practicality of definitions determine the performance of the schemes indeed. A popular definition has recently been proven to be more efficient than other existing ones, i.e., the more common interests between two nodes, the larger social similarity between them. In this work, we indicate that schemes based on such definition ignore the fact that members within the same community, i.e., with the same interest, usually have different levels of internal activity, which possibly results in a low efficiency of data delivery in some situations. Thus, we design a new data forwarding scheme for MSNs based on community detection in dynamic weighted networks, called LASS, taking into account the difference of members' activity within each community, i.e., local activity. To the best of our knowledge, the proposed scheme is the first one aware of different levels of local activity within communities. Through extensive simulations, LASS achieves better performance than state-of-the-art protocols.

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The usage of multiple flow tables (MFT) has significantly extended the flexibility and applicability of software-defined networking (SDN). However, the size of MFT is usually limited due to the use of expensive ternary content addressable memory (TCAM). Moreover, the pipeline mechanism of MFT causes long flow processing time. In this paper a novel approach called Agg-ExTable is proposed to efficiently manage the MFT. Here the flow entries in MFT are periodically aggregated by applying pruning and the Quine–Mccluskey algorithm. Utilizing the memory space saved by the aggregation, a front-end ExTable is constructed, keeping popular flow entries for early match. Popular entries are decided by the Hidden Markov model based on the match frequency and match probability. Computer simulation reveals that the proposed scheme is able to save about 45% of space of MFT, and efficiently decrease the flow processing time compared to the existing schemes.