A Survey on Event Mining for ICT Network Infrastructure Management

1 IntroductionNowadays in China, there are more than six hundred million netizens [1]. On April 11, 2015, the nmnbet of simultaneous online users of the Chinese instant message application QQ reached two hundred million [2]. The fast growth ol the lnternet pusnes me rapid development of information technology （IT） and communication technology （CT）. Many traditional IT service and CT equipment providers are facing the fusion of IT and CT in the age of digital transformation, and heading toward ICT enterprises. Large global ICT enterprises, such as Apple, Google, Microsoft, Amazon, Verizon, and AT＆T, have been contributing to the performance improvement of IT service and CT equipment.

An Overview of IT Infrastructure Management in Small Medium Enterprise： A Case Study

Nowadays, information technology （IT） has become a part of the working culture and environment in many organizations. Originally, it is not a supportive tool to make any business successful, but it have become the backbone of successful business recently. Any non-IT organization could become dead and non-productive. When time comes, maybe it will fail in the business market. However, the usage of IT instruments must be carried out in good and conducive environment especially for business market. In this study, a basic and practical management about how to manage IT asset in small organizations will be discussed. Then this kind of management will be further discussed when the company become small medium organization. The implementation of IT infrastructure, the requirements, infrastructures, services, and platform from software to hardware and networking devices needs to be known. However, this study focuses on networking infrastructure such as networking equipments, servers, network monitoring software, costing, and management best practices.

Sustainability Index： An Application into Sustainable Engineering Infrastructure Management and Assessment

A proper infrastructure assessment in the contemporary engineering world has become very crucial due to the palpable resources challenges. Therefore, from the design, construction, operation and maintenance stages of the built infrastructural systems; cognizance must be taken of the associated factors and their significance. In considering these indices, the experts will save lots of resources wastage thereby integrating new technologies into the full life cycle of the infrastructure. In this paper, two sets of building infrastructure professionals were assessed. These are the corporate building organization （CBO） and the Operators from two shopping malls within the UK. Thirty-four factors regarding the sustainable building infrastructure appraisal were identified through literature reviews. These characteristics were accordingly classified into two factors （group I and II） and a comparative analysis of their influence conducted. Priority rating of the factors assessment on building infrastructure was through structured, administered survey amongst professionals within these organizations. Information of this survey revealed that the experts maintained a strong concordance in rating these factors. As a result, the associated factors have relatively substantial degree of influence in this context. Further indications of the result in groups I and II are that the CBO experts have indicated the infrastructure size, planning and design as the key factors. Also, the type of building characteristic was among others as the top and bottom marked cases. Similarly, the Operators too have maintained that a proper infrastructure design should incorporate a good policy framework for efficient energy saving fixtures and conservation. Additionally, the installation of quality equipment promotes cost savings of the resources and a just-in-time maintenance of the infrastructure at large. The maintain as-we-go philosophy characteristic was not strongly encouraged in this case.

Security Monitoring and Management for the Network Services in the Orchestration of SDN-NFV Environment Using Machine Learning Techniques

Software Defined Network(SDN)and Network Function Virtualization(NFV)technology promote several benefits to network operators,including reduced maintenance costs,increased network operational performance,simplified network lifecycle,and policies management.Network vulnerabilities try to modify services provided by Network Function Virtualization MANagement and Orchestration(NFV MANO),and malicious attacks in different scenarios disrupt the NFV Orchestrator(NFVO)and Virtualized Infrastructure Manager(VIM)lifecycle management related to network services or individual Virtualized Network Function(VNF).This paper proposes an anomaly detection mechanism that monitors threats in NFV MANO and manages promptly and adaptively to implement and handle security functions in order to enhance the quality of experience for end users.An anomaly detector investigates these identified risks and provides secure network services.It enables virtual network security functions and identifies anomalies in Kubernetes(a cloud-based platform).For training and testing purpose of the proposed approach,an intrusion-containing dataset is used that hold multiple malicious activities like a Smurf,Neptune,Teardrop,Pod,Land,IPsweep,etc.,categorized as Probing(Prob),Denial of Service(DoS),User to Root(U2R),and Remote to User(R2L)attacks.An anomaly detector is anticipated with the capabilities of a Machine Learning(ML)technique,making use of supervised learning techniques like Logistic Regression(LR),Support Vector Machine(SVM),Random Forest(RF),Naïve Bayes(NB),and Extreme Gradient Boosting(XGBoost).The proposed framework has been evaluated by deploying the identified ML algorithm on a Jupyter notebook in Kubeflow to simulate Kubernetes for validation purposes.RF classifier has shown better outcomes(99.90%accuracy)than other classifiers in detecting anomalies/intrusions in the containerized environment.

A Cache Considering Role-Based Access Control and Trust in Privilege Management Infrastructure

PMI （privilege management infrastructure） is used to perform access control to resource in an E-commerce or E-government system. With the ever-increasing need for secure transaction, the need for systems that offer a wide variety of QoS （quality-of-service） features is also growing. In order to improve the QoS of PMI system, a cache based on RBAC （Role-based Access control） and trust is proposed. Our system is realized based on Web service. How to design the cache based on RBAC and trust in the access control model is deseribed in detail. The algorithm to query role permission in cache and to add records in cache is dealt with. The policy to update cache is introduced also.

The Role of Knowledge Management Infrastructure in Enhancing Job Satisfaction at Aqaba Five Star Hotels in Jordan

The aim of this research is to explore the role of Knowledge Management (KM) infrastructure (organizational culture, organizational structure and information technology) in enhancing job satisfaction at Aqaba five star hotels located in Jordan. A total of 216 questionnaires containing 33 items were used to collect information from the respondents. Multiple regression analysis was conducted to test the research hypotheses. Results of the current study revealed that there is a significant positive impact of KM infrastructure on job satisfaction and these results are in line with the results of the previous studies mentioned in the literature, and also revealed that the dimensions of KM infrastructure that has the highest effect on job satisfaction are organizational culture followed by information technology;whereas the variable of organizational structure has not significant impact on it. Results of T-test showed that there is no significant difference in the impact of KM infrastructure towards job satisfaction in favor of gender. In addition, results of ANOVA test found that there are significant differences in the impact of KM infrastructure on job satisfaction that can be attributed to age, educational level, and personal income.

Areas vulnerable to natural disasters and damage estimation of infrastructure in Busan, Korea

Since the damages caused by disasters associated with climate anomalies and the diversification of the social structure increase every year, an efficient management system associated with a damage assessment of the areas vulnerable to disasters is demanded to prevent or mitigate the damages to infrastructure. The areas vulnerable to disasters in Busan, located at southeastern part of Korea, were estimated based on historical records of damages and a risk assessment of the infrastructure was performed to provide fundamental information prior to the establishment of the real-time monitoring system for infrastructure and establish disaster management system. The results are illustrated by using geographical information system(GIS) and provide the importance of the roadmap for comprehensive and specific strategy to manage natural disasters.

Special issue： Infrastructure mega-project management on the Hong Kong-Zhuhai-Macao Bridge project

Infrastructure mega-projects(IMPs)are large-scale engineering deliverables,such as hydropower projects,highspeed railways,expressway networks,gas pipeline projects,and long-span bridges.IMPs provide fundamental public services for social production,economic development,and daily life,and form the backbone of modern societies.The importance of IMPs has necessitated an improved understanding of how these facilities are managed.

Sustainable water management for green infrastructure

The water is the most important component in the ecosystems responsible for energy flow and mass transport. The water also plays an important role for human existence. However, the constructed infrastructures such as roads, buildings, railways, drainage systems, etc. give negative impacts to the ecosystem such as deteriorating the water quality and changing the natural water circulation system.

Considering deterioration propagation in transportation infrastructure maintenance planning

Civil infrastructure system maintenance planning is to determine which facility should be repaired,when and how maintenance should be carried out,and what treatment should be used under budget and other resource constraints.In the existing literature,various simulation and optimization models have been developed to help select the optimal maintenance plan.However,the developed models overlooked the deterioration propagation between adjacent connected facilities of the network infrastructure system.For instance,a facility receiving zero maintenance or having a failure of maintenance treatment affects not only the condition of itself,but also the deterioration rate of its neighboring facilities.This raises the call for taking the deterioration propagation into consideration when developing optimization models and capture to which extent it can affect the optimal maintenance plan.Therefore,in this paper,an infrastructure maintenance planning model considering the deterioration propagation between facilities is formulated as a mixed integer linear programming problem.A heuristic algorithm was proposed to solve the problem efficiently.Example networks were tested for the performance comparison between CPLEX and the heuristic algorithm.The proposed model performs better than models without the deterioration propagation.