Is software that lets you run local compute messaging data caching sync and machine learning inference capabilities for connected devices in a secure way?
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| Papers (8) | Insight |
|---|---|
01 Dec 2018 39 Citations | The use of in-network caching in ICN enhances the data availability in the network, overcomes the issue of single-point failure, and improves IoT devices power efficiency. |
37 Citations | In such applications, caching data at some edge devices can greatly improve data availability, retrieval robustness, and delivery latency. |
| Caching of frequently accessed data in multi-hop ad hoc environment is a potential technique that can improve the data access performance and availability. | |
01 Dec 2018 116 Citations | In order to address this issue, we propose a Federated learning based Proactive Content Caching (FPCC) scheme, which does not require to gather users' data centrally for training. |
34 Citations | This article proposes a novel deep learning-based proactive caching framework in cellular networks, called DeepCachNet, in which a vast amount of data is collected from the mobile devices of users connected to SBSs. |
52 Citations | However, the caching management is a challenging and complex task, especially in those scenarios of shared storage resources on edge devices to support multiple concurrent applications (e. g., industrial, mobile users, and connected cars applications). |
| The optimal data caching strategy in the edge computing environment will minimize the data caching cost while maximizing the reduction in service latency. | |
09 May 2005 | In this paper, we propose a novel approach for caching multidimensional data in a cluster of mobile devices. |
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