基于灰色模糊层次分析法的企业云服务安全评价模型

从企业实施云服务项目角度,总结得出影响云服务安全的四大因素,即平台设施、运行安全、运营管理以及法律法规因素。在此基础上构建企业云服务安全评价模型,并利用灰色模糊层次分析法（ GFAHP）对模型进行综合评价。最后通过一个实例进行具体阐明与评价。     

基于logit模型的生物质供应链集成优化

针对农户的选择偏好,引入基于logit的离散计量分析模型,以研究秸秆收购价格、成本及政府补贴对农户生物质供应选择行为的影响。在此基础上,应用Stackelberg博弈模型对生物质供应链中加工厂、收集站和农户等不同利益主体之间的决策进行分析,确定了最优的生物质收购价格及收集站的服务半径。最后,通过算例分析验证了上述优化决策模型的有效性。研究表明,农户供应模式的选择与其对效用的敏感程度有关;政府实行补贴激励不仅能提高农户将秸秆直接送至加工厂的积极性,对加工厂和收集站的利益也有不同程度的提高。     

Unikernel的研究及其进展

Unikernel是一种专门定制、优化的轻量级虚拟机,在云环境中,它能够解决由传统虚拟机带来的资源消耗大、低效率、低安全性的问题,有望成为超越Docker的下一代轻量级微服务系统架构。目前,Unikernel开源项目较多,技术呈现复杂性和多样性,使得研究人员和开发人员难以准确理解和把握。为此,首先介绍了Unikernel的基本概念和基本特点;然后总结出了Unikernel的系统架构,并详细阐述了Unikernel关键技术的研究工作进展,包括应用层、库操作系统层和平台适配层;最后结合已有的研究成果,探讨了Unikernel的研究方向及其面临的机遇和挑战。     

浙江省水利管理与服务能力现代化发展水平评价

遵循独立、科学、系统、层次和可操作性的原则,在充分分析国内外大量相关指标的基础上,结合浙江省实际情况,提出了包括防汛防台抗旱管理、水利工程管理、水行政管理、水利工程完好率、人才保障能力、资金保障能力等6项准则层的浙江省水利管理与服务能力现代化发展水平评估指标体系,在此基础上利用模糊聚类循环迭代法科学确定指标权重,并构建了发展水平综合评估模型。对浙江省2015年的水利管理与服务能力现代化水平进行评价,将结果与2020年的预期值进行对比,查找问题和薄弱环节并提出对策建议。     

Using heuristic algorithms for capacity leasing and task allocation issues in telecommunication networks under fuzzy quality of service constraints

Nowadays, every firm uses telecommunication networks in different amounts and ways in order to complete their daily operations. In this article, we investigate an optimisation problem that a firm faces when acquiring network capacity from a market in which there exist several network providers offering different pricing and quality of service (QoS) schemes. The QoS level guaranteed by network providers and the minimum quality level of service, which is needed for accomplishing the operations are denoted as fuzzy numbers in order to handle the non-deterministic nature of the telecommunication network environment. Interestingly, the mathematical formulation of the aforementioned problem leads to the special case of a well-known two-dimensional bin packing problem, which is famous for its computational complexity. We propose two different heuristic solution procedures that have the capability of solving the resulting nonlinear mixed integer programming model with fuzzy constraints. In conclusion, the efficiency of each algorithm is tested in several test instances to demonstrate the applicability of the methodology.     

Relationship between chemical degradation and thickness loss of an amine-cured epoxy coating exposed to different UV environments

The relationship between chemical degradation and thickness loss of an unpigmented, non UV-stabilized, crosslinked amine-cured epoxy coating exposed to three UV conditions was investigated. Spin-coated samples having a thickness of approximately 7 μm on an Si substrate were prepared from a stochiometric mixture of a bisphenol A epoxy resin and a tetra-functional amine curing agent. Samples were exposed outdoors and to two accelerated laboratory UV environments. Chemical degradation and thickness loss were measured by transmission Fourier transform infrared spectroscopy (FTIRS) and laser scanning confocal microscopy (LSCM), respectively. In addition, surface roughness and morphological changes were measured by atomic forcemicrosocopy (AFM) and LSCM. Substantial chemical degradation, thickness loss, and morpholocal changes occurred in the exposed films, and the rate of chemical degradation was greater than that due to the thickness loss. This additional chemical loss was attributed to an inhomogeneous degradation process in which nanoscale localized depressions initiate at certain sites on the surface, which then enlarge and deepen with exposure time. The results of this study provide a better understanding of the degradation mechanism and should lead to the development of scientific-based models for predicting the service life of crosslinked amine-cured epoxy coatings. Presented at the 82nd Annual Meeting of the Federation of Societies for Coatings Technology, October 27–29, 2004, in Chicago, IL     

Semantic-based QoS management in cloud systems: Current status and future challenges

Cloud Computing and Service Oriented Architectures have seen a dramatic increase of the amount of applications, services, management platforms, data, etc. gaining momentum for the necessity of new complex methods and techniques to deal with the vast heterogeneity of data sources or services. In this sense Quality of Service (QoS) seeks for providing an intelligent environment of self-management components based on domain knowledge in which cloud components can be optimized easing the transition to an advanced governance environment. On the other hand, semantics and ontologies have emerged to afford a common and standard data model that eases the interoperability, integration and monitoring of knowledge-based systems. Taking into account the necessity of an interoperable and intelligent system to manage QoS in cloud-based systems and the emerging application of semantics in different domains, this paper reviews the main approaches for semantic-based QoS management as well as the principal methods, techniques and standards for processing and exploiting diverse data providing advanced real-time monitoring services. A semantic-based framework for QoS management is also outlined taking advantage of semantic technologies and distributed datastream processing techniques. Finally a discussion of existing efforts and challenges is also provided to suggest future directions.     

塑料管材用于干式地板供热、供冷的可行性研究

据塑料管材的力学性能，针对其应用于地板供热、供冷时应注意的问题，从塑料管材使用条件、管材的选择、管壁厚度的确定、地板结构、介质作用温度及供热、供冷运行方式等方面对塑料管材应用于供热、供冷的可行性进行了探讨，提出了一些相应措施和技术方案，并给出了实例。     

Challenges in real-time virtualization and predictable cloud computing

Cloud computing and virtualization technology have revolutionized general-purpose computing applications in the past decade. The cloud paradigm offers advantages through reduction of operation costs, server consolidation, flexible system configuration and elastic resource provisioning. However, despite the success of cloud computing for general-purpose computing, existing cloud computing and virtualization technology face tremendous challenges in supporting emerging soft real-time applications such as online video streaming, cloud-based gaming, and telecommunication management. These applications demand real-time performance in open, shared and virtualized computing environments. This paper identifies the technical challenges in supporting real-time applications in the cloud, surveys recent advancement in real-time virtualization and cloud computing technology, and offers research directions to enable cloud-based real-time applications in the future.