Network Security Situation Awareness (NSSA) is a hot topic in network security field, and cloud computing is a new technology integrated virtual storage and distributed computing. It has become the challenging questions how to provide efficient and reliable service for NSSA based on the cloud computing.This paper proposes a cloud security situation awareness model based on data mining, and puts forwarda parallelfrequent-tree Apriori algorithm (PFT-Apriori) for mining association rules. Compare with the traditional Apriori algorithm, the experimental results show that the performance of system is increased by 51% under PFT-algorithm.
Cloud computing is based on cloud storage. Cloud storage through a variety of technical storage device abstraction into virtual storage resource pool. Compared with the traditional way of storage, it has the scalability and high performance, low cost and other advantages. Different cloud storage systems have different technical architecture and characteristics. From the perspective of metadata if there is a center node, with and without the typical cloud storage system to do a simple introduction and mainly for open source without Gluster center system are analyzed in focus.
This paper proceeds as follow, the architecture model based on cloud storage and cloud storage of key technologies, from the availability, reliability and data sharing three aspects analysis the feasibility of the combination of cloud storage and Internet of things, cloud storage are discussed under the Internet environment facing security problems and the corresponding solutions and Internet of things under the environment of cloud storage platform structure model, and the cloud storage in the Internet of the future development trend is prospected.
CRUSH is one of the Ceph module,mainly solve the controllable, extensible, decentralized distribution of data copy. Ceph's biggest characteristics is a distributed metadata server is through CRUSH algorithm to allocate file storage location, its core is RADOS (Reliable, Autonomic Distributed Object Store), an object storage cluster, provide high availability of the object itself, error detection and repair.
In order to ensure the effect of three types of parameter to HSS tap life, orthogonal experiment with interaction included was applied to accomplish the experiment of W9Mo3Cr4V HHS tap tool life. These parameters are cutting parameter (CP)--tap speed, process parameter (PP) -- temperature of cryogenic treatment, and structure parameter (SP)--rounded cutting edge radius. According to range analysis, the sequence of factors including the individual factors and interaction factors that we obtained is PP, SP, PP×CP, CP, CP×SP, PP×SP, CP×PP×SP. The sequence shows that the former interaction takes part in deciding the optimal factor combination. The optimal combination is CP2, PP1, SP2, namely, when tap speed is 11.3 m/min, temperature of cryogenic treatment is -120°C, and rounded cutting edge radius is 0.032mm, HSS tap life is 620(holes).
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