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Data-driven Anomaly Detection Method for Monitoring Runtime Performance of Cloud Computing Platforms
Mingwei Lin,Zhiqiang Yao,Fei Gao,Yang Li 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.2
Cloud computing platforms are complex system, which consist of a lot of software working together. Because of software defects, cloud computing platforms may has performance anomaly during runtime. In this paper, a data-driven anomaly detection method is proposed to monitor runtime performance for cloud computing platforms. The proposed method can not only detect the performance anomaly of cloud computing platforms during runtime, but also find out which performance metric results in the anomaly. A series of experiments are conducted on a real private cloud computing platform based on OpenStack and experimental results show the proposed method is better than previous anomaly detection methods for cloud computing platforms.
Toward Anomaly Detection in IaaS Cloud Computing Platforms
Mingwei Lin,Zhiqiang Yao,Fei Gao,Yang Li 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.12
In order to monitor the running status of IaaS cloud computing platforms, performance metric data are collected to perform anomaly detection for IaaS cloud computing platforms and determine whether the IaaS cloud computing platforms fail to run normally. However, it is challenging to effectively detect performance anomalies from a large amount of noisy and high dimensional performance metric data. In this paper, an efficient anomaly detection scheme is proposed for IaaS cloud computing platforms. The proposed scheme first designs a global locality preserving projection algorithm to perform feature extraction on performance metric data, and then introduces a local outlier factor algorithm to detect anomalies. A series of experiments are conducted on a private cloud computing platform. Experimental results show that our proposed global locality preserving projection algorithm outperforms the principal components analysis algorithm and the locality preserving projection algorithm and our proposed anomaly detection scheme is better than the state-of-the-art schemes for IaaS cloud computing platforms.
A Virtual Machine Instance Anomaly Detection System for IaaS Cloud Computing
Mingwei Lin,Zhiqiang Yao,Fei Gao,Yang Li 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.3
Infrastructure as a Service (IaaS) is one of the three important fundamental service models provided by cloud computing. It provides users with computing resource and storage resource in terms of virtual machine instances. Because of the rapid development of cloud computing, more and more application systems have been deployed on the IaaS cloud computing platforms. Therefore, once anomalies incur in the IaaS cloud computing platforms, all the application systems cannot work normally. In order to enhance the dependability of IaaS cloud computing platform, a virtual machine instance anomaly detection system is proposed for IaaS cloud computing platform to detect virtual machine instances that exhibit abnormal behaviors. The proposed virtual machine instance system consists of four modules that are the data collection, the data transmission, the data storage, and the anomaly detection. In order to reduce the computing complexity and improve the detection precision, the anomaly detection module introduces the principal components analysis to reprocess the collected data and then adopts the Bayesian decision theory to detect the abnormal data. Experimental results show that the proposed virtual machine instance anomaly detection system is effective.
An Efficient Portable Navigation Device with GPS and BDS Positioning Capabilities
Mingwei Lin,Zhiqiang Yao,Xiaobo An 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.4
A portable navigation device is a portable electronic product, which has an important function in terms of positioning capability. In order to improve the positioning performance, an efficient portable navigation device is proposed in this paper. The proposed portable navigation device integrates the GPS receiver module and BDS receiver module, and then owns the GPS and BDS positioning capabilities simultaneously. In order to improve the performance of displaying the electronic maps, an efficient strategy based on the levels of detail is designed to display the electronic maps. A series of experiments are conducted and the experimental results show that the proposed portable navigation device can receive and analyze both the BDS and GPS data correctly, as well as the proposed strategy for displaying the electronic maps is better than the traditional strategy that displays all the map files at the same time.
Mingwei Lin,Zhiqiang Yao 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.6
In this paper, a data transmission model is proposed to simulate the way of transmitting resource status information in IaaS cloud computing platforms. An adaptive periodic push strategy is also proposed to improve the performance of the data transmission model. The time interval in the adaptive periodic push strategy is dynamically updated by considering the change degree of resource status information. A series of experiments are conducted on a cloud computing testbed and experimental results show that the adaptive periodic push strategy performs better than previous data transmission strategies in terms of the number of data transmissions and data coherence.
ShuYu Chen,GuiPing Wang,Jun Liu,MingWei Lin 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.1
In order to successfully monitor a large-scale distributed system, it is an important issue that the monitoring function fully covers all the entities in the system. To this end, a key challenge is to efficiently transmit state information of the entities in the system. This paper solves this challenge from two aspects. First, in virtue of the idea of self-organizing networks, this paper proposes a neighborhood organization algorithm, which self-organizes the nodes into several monitoring neighborhoods based on the t distance between nodes. The second aspect focuses on message transmission. There are three common message transmission methods in network, i.e., flooding, multicast and unicast. Flooding may cause high network overhead, while unicast may pose high system delay. Based on the idea of Gossip protocol, this paper proposes a directional message dissemination algorithm (D-Gossip), which is a kind of probabilistic multicast. D-Gossip reduces message dissemination uncertainty of traditional Gossip protocols. It effectively improves the efficiency and coverage of message dissemination, while reducing redundant information in the system due to Gossip protocol. The experimental results show that the neighborhood organization algorithm and the D-Gossip can effectively solve the above challenge.
Transcript Profiling of Toll-Like Receptor mRNAs in Selected Tissues of Mink (Neovison vison)
( Mingwei Tong ),( Li Yi ),( Yuening Cheng ),( Miao Zhang ),( Zhigang Cao ),( Jianke Wang ),( Hang Zhao ),( Peng Lin ),( Yong Yang ),( Shipeng Cheng ) 한국미생물 · 생명공학회 2016 Journal of microbiology and biotechnology Vol.26 No.12
Toll-like receptors (TLRs) can recognize conserved molecular patterns and initiate a wide range of innate and adaptive immune responses against invading infectious agents. The aim of this study was to assess the transcript profile of mink TLRs (mTLRs) in mink peripheral blood mononuclear cells (PBMCs) and a range of tissues, and to explore the potential role of mTLRs in the antiviral immune response process. The results indicated that the mTLR partial nucleotide sequences had a high degree of nucleotide identity with ferret sequences (95-98%). Phylogenetic analysis showed that mammalian TLRs grouped into five TLR families, with a closer relationship of the mTLRs with those of ferret than the other mammalian sequences. Moreover, all the mTLRs were ubiquitously expressed in lymphoid organs (spleen and lymph nodes) and PBMCs. Interestingly, the mTLR expression patterns in lung, uterus, and heart showed quite a lot of similarity. Another remarkable observation was the wide expression of mTLR1-3 mRNAs in all tissues. Among the analyzed tissues, skeletal muscle was revealed to being the lowest repertoire of mTLR expression. Additionally, mink PBMCs exposed to the canine distemper virus revealed significant upregulation of mTLR2, mTLR4, mTLR7, and mTLR8 mRNAs, indicating that mTLRs have a role in innate immunity in the mink. Collectively, our results are the first to establish the basic expression patterns of mTLRs and the relationship between mTLRs and a virus, which will contribute to better understanding of the evolution and the functions of mTLRs in the innate immune system in minks.
Enhancement of Photoluminescence by Ag Localized Surface Plasmon Resonance for Ultraviolet Detection
Yanlei Lyu,Jun Ruan,Mingwei Zhao,Ruijin Hong,Hui Lin,Dawei Zhang,Chunxian Tao 한국광학회 2021 Current Optics and Photonics Vol.5 No.1
For higher sensitivity in ultraviolet (UV) and even vacuum ultraviolet (VUV) detection of siliconbased sensors, a sandwich-structured film sensor based on Ag Localized Surface Plasmon Resonance (LSPR) was designed and fabricated. This film sensor was composed of a Ag nanoparticles (NPs) layer, SiO 2 buffer and fluorescence layer by physical vapour deposition and thermal annealing. By tuning the annealing temperature and adding the SiO 2 layer, the resonance absorption wavelength of Ag NPs matched with the emission wavelength of the fluorescence layer. Due to the strong plasmon resonance coupling and electromagnetic field formed on the surface of Ag NPs, the radiative recombination rate of the luminescent materials and the number of fluorescent molecules in the excited state increased. Therefore, the fluorescent emission intensity of the sandwich-structured film sensor was 1.10–1.58 times at 120–200 nm and 2.17–2.93 times at 240–360 nm that of the single-layer film sensor. A feasible method is provided for improving the detection performance of UV and VUV detectors.