The edge-based computing paradigm (ECP) becomes one of the most innovative modes of processing distributed Interneit of Things (IoT) sensor data. However, the edge nodes in ECP are usually resource-constrained. When more services are executed on an edge node, the resources required by these services may exceed the edge node’s, so as to fail to maintain the normal running of the edge node. In order to solve this problem, this paper proposes a resource-constrained smart service migration framework for edge computing environment in IoT (IoT-RECSM) and a dynamic edge service migration algorithm. Based on this algorithm, the framework can dynamically migrate services of resource-critical edge nodes to resource-rich nodes. In the framework, four abstract models are presented to quantificationally evaluate the resource usage of edge nodes and the resource consumption of edge service in real-time. Finally, an edge smart services migration prototype system is implemented to simulate the edge service migration in IoT environment. Based on the system, an IoT case including 10 edge nodes is simulated to evaluate the proposed approach. According to the experiment results, service migration among edge nodes not only maintains the stability of service execution on edge nodes, but also reduces the sensor data traffic between edge nodes and cloud center.
Abstract-Intrusion detection remains an important and challenging task in current and next generation networks (NGN).Emerging technologies such as multi-core processors and virtualization have changed the architecture of the building elements of NGN significantly, thus call for rethinking of how network processing is done. In this paper, we propose distributed intrusion detection using intelligent network interfaces where additional processing capabilities are available. We design and implement a prototype to perform pattern matching using network processors since pattern matching is one of the important workloads in intrusion detection. Through the experimental results, we show the feasibility and performance of distributed intrusion detection in next generation networks.
First, the problems in cutting database are analyzed and primary factors that should be
considered in establishing high-speed cutting database are pointed out, including data presenting
modes, data collecting and updating, the intelligence of the database, and the integration with CAD,
CAPP and CAM. Secondly, high-speed cutting system is analyzed. On the basis of the
categorization of the variables, the function model and the information model of cutting database
are set up, which leads to the establishment of the architecture of high-speed cutting database.
Finally, the combination mechanism of the rule-based reasoning and the case-based reasoning is
analyzed and the process of the hybrid reasoning is given.
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