Integration of hybrid wireless networks in cloud services oriented enterprise information systems

This article presents a hybrid wireless network integration scheme in cloud services-based enterprise information systems (EISs). With the emerging hybrid wireless networks and cloud computing technologies, it is necessary to develop a scheme that can seamlessly integrate these new technologies into existing EISs. By combining the hybrid wireless networks and computing in EIS, a new framework is proposed, which includes frontend layer, middle layer and backend layers connected to IP EISs. Based on a collaborative architecture, cloud services management framework and process diagram are presented. As a key feature, the proposed approach integrates access control functionalities within the hybrid framework that provide users with filtered views on available cloud services based on cloud service access requirements and user security credentials. In future work, we will implement the proposed framework over SwanMesh platform by integrating the UPnP standard into an enterprise information system.     

Applications integration in a hybrid cloud computing environment: modelling and platform

With the development of application services providers and cloud computing, more and more small- and medium-sized business enterprises use software services and even infrastructure services provided by professional information service companies to replace all or part of their information systems (ISs). These information service companies provide applications, such as data storage, computing processes, document sharing and even management information system services as public resources to support the business process management of their customers. However, no cloud computing service vendor can satisfy the full functional IS requirements of an enterprise. As a result, enterprises often have to simultaneously use systems distributed in different clouds and their intra enterprise ISs. Thus, this article presents a framework to integrate applications deployed in public clouds and intra ISs. A run-time platform is developed and a cross-computing environment process modelling technique is also developed to improve the feasibility of ISs under hybrid cloud computing environments.     

SLA-based optimisation of virtualised resource for multi-tier web applications in cloud data centres

Dynamic virtualised resource allocation is the key to quality of service assurance for multi-tier web application services in cloud data centre. In this paper, we develop a self-management architecture of cloud data centres with virtualisation mechanism for multi-tier web application services. Based on this architecture, we establish a flexible hybrid queueing model to determine the amount of virtual machines for each tier of virtualised application service environments. Besides, we propose a non-linear constrained optimisation problem with restrictions defined in service level agreement. Furthermore, we develop a heuristic mixed optimisation algorithm to maximise the profit of cloud infrastructure providers, and to meet performance requirements from different clients as well. Finally, we compare the effectiveness of our dynamic allocation strategy with two other allocation strategies. The simulation results show that the proposed resource allocation method is efficient in improving the overall performance and reducing the resource energy cost.     

Pricing the cloud: a QoS-based auction approach

ABSTRACT

Cloud computing is an evolutionary technology that offers on-demand resources and elastic services through the Internet. Most providers adopt fixed-price mechanisms (e.g. pay-as-you-go). However, a few providers have recently employed auction-like approaches to price cloud services. Meanwhile, cloud consumers pay more attention to Quality of Service (QoS) such as availability, which measures how well a service is performed. This paper proposes a novel auction approach that can efficiently allocate resources according to customers’ QoS preferences. The QoS-based pricing can generate more revenue than a fixed-price strategy. This research lies at the intersection of cloud computing, economics, and information systems.     

基于云计算的虚拟桌面的架构方案探析

虚拟桌面是典型的云计算应用,它能够在云中为用户提供远程的计算机桌面服务。服务提供者在数据中心服务器上运行用户所需的操作系统和应用软件,然后采用桌面显示协议将操作系统桌面视图以图像的方式传送到用户端设备上。同时,服务器将对用户端的输入进行处理,并随时更新桌面视图的内容。通过分析某企业虚拟桌面的需求,探讨基于云计算概念设计虚拟桌面的架构方案。     

云计算与信息安全

信息安全是当前计算机科学的一个研究热点;云计算是一个新的技术,给信息安全提供了挑战和机遇。介绍了云计算的基本概念、云计算的安全问题,通过云计算用户以及云计算服务提供商两方面分析了云计算中确保信息安全的方法。     

云计算环境下的信息安全问题与防护策略探讨

云计算是当今社会一种很重要的网络服务模式。信息技术在现代社会得到了广泛关注,其不断发展为世界带来了巨大的变化。云计算和信息技术的有机结合能够提升信息数据的存储和处理速度,但是云计算环境下的信息安全也存在诸多问题。为了使云计算环境下的信息更加安全,相关人员必须采取防护措施,制定相应的防护策略。     

物流园区云物流服务平台的构建研究

为提高物流园区的工作效率和服务水平,引入了以云计算为基础的云物流。文中介绍了云计算及云物流的概念,根据物流园区作业流程,构建了一种基于云服务的物流园区服务系统模型,并在此基础上给出了云物流服务平台的技术构架,最后以案例分析说明了云物流的构建和应用。     

浅析“云安全”在图书馆网络信息服务中的应用

本文试从云计算、云安全具有较高的数据存储能力和云安全的基本模型、风险和安全,以及能为图书馆提供一个随时随地更新资源的网络信息服务平台出发,浅析"云安全"在图书馆网络信息服务中的应用问题,从而降低读者用户的信息获取成本,提高了图书馆信息资源的利用率,确保图书馆网络信息服务的安全。     

A service governance mechanism based on process mining for cloud-based applications

ABSTRACT

With the widely use of cloud computing in enterprise information systems, service governance becomes critical for an enterprise to adapt to a changing business environment. In order to provide a dynamic strategy for continuous service governance, in this paper a comprehensive service analysis solution is proposed to address both design time and run-time requirements for cloud applications. First, a process-centric Semantic Scene Model is composed to combines static business requirements with dynamic execution information. Then service analysis is conducted referring both to the business process mining results from event logs and the Semantic Scene Model given by business model designers. Service governance strategies are generated from the service analysis results and are performed to qualitatively classify the Quality of Service (QoS) of the services. Finally the approach is verified with a transportation logistics service application in a cloud platform. The result shows that our method can get continuous service governance through combining business processes with run-time service analysis.     

中小企业云计算策略分析

云计算是一种全新的IT服务交付模式,是引领未来信息产业创新的关键战略性技术和手段,它能有效解决中小企业资源的动态需求和最终成本等问题,它为中小企业降低成本、完善管理、推进信息化发展、实现资源集成,它是形成和提升中小企业竞争力的关键因素。文章分析了现代商业社会中的中小企业竞争环境,以及中小企业实践云计算的价值,从IaaS、PaaS、SaaS三个方面阐述了中小企业实践云计算的策略,说明了中小企业IT向云演进的步骤,以及中小企业实践云的模式,并给出中小企业云的基础构架。文章还提出了中小企业云计算安全策略。     

大数据时代电子政务云安全审计策略构建研究

电子政务是实现国家信息化战略的重要基础。在大数据时代,电子政务云安全面临着严峻的挑战,数据泄密、账户劫持、系统漏洞等因素阻碍着政务信息化的发展。查错纠弊是审计的基本职责,云安全审计作为一种监督手段,有效迎合了电子政务云的安全管控需求。面对云计算的复杂性,如何建立一套成熟的电子政务云安全审计策略体系已成为亟待解决的热点问题。在理论回顾的基础上,设计电子政务云安全审计框架,确定电子政务云安全审计模式和技术方法,分析电子政务云安全审计风险的构成,探索基于基础设施安全、数据信息安全、应用服务安全、安全组织管理等模块的电子政务云安全审计机制,形成具有可行性、科学性的电子政务云安全审计体系。研究结论从审计视角为大数据时代电子政务云的安全管理实践提供了理论支持,是电子政务云安全审计策略构建的实践参考。     

高校校园网云服务平台建设研究

本文分析了高校教学信息化环境中存在的问题,提出了云计算应用于高校校园网信息化建设的设计方案。该方案旨在建立一套适用于高校的云服务平台,提供形式多样的服务,包括虚拟机服务、信息推送、自助服务定制、安全管理等,为高校校园网应用引入云计算提供了可行思路。     

云计算主要服务形式探究

本文对云计算的现有服务形式ssas,paas,iaas的具体应用进行了分析,指出现有的云计算应用仍属于初级阶段,云计算还面临着数据管理安全隐私等诸多问题。     

云计算环境下的图书馆建设与服务创新

本文首先介绍云计算技术在云基础设施、SaaS、云存储等方面提升了图书馆建设与服务能力,分析了云计算技术在图书馆资源建设与服务中的应用,并探讨了云计算环境下的全面的用户交互、准确的智能性资源检索、一体化的综合信息等图书馆服务模式的创新。     

混合型TOPSIS方法在多式联运服务商选择中的应用

多式联运服务商的选择是企业在国际贸易中的重要决策。针对多式联运服务的具体特点，建立了多式联运服务商选择的指标体系。考虑到信息的不确定性。以区间数形式表示定性指标值，应用混合型TOPSIS方法建立了目标优选的评价模型。最后通过一个实例对方法的有效性和实用性进行了验证。     

基于直接信任关系表的Web服务资源访问机制

文章针对网格环境Web服务资源访问过程中,用户查找Web服务资源的快速性与有效性问题,以D-S证据理论为基础,提出了一种基于直接信任关系表的网络Web服务资源组织演化模型,每个节点只存储直接交互节点的信任关系,并基于此模型提出了一种基于信任BP神经网络判别隶属函数的Web服务资源信任查找机制。通过将中间节点判别隶属函数最高的节点作为资源的查找出发点,而中间节点又从自己的信任链路中查找信任度最高的节点,从而在加速服务查找速度的同时,达到提高查找服务成功率的目的。最后,经过大量模拟仿真实验结果表明:该算法较传统的基于穷尽搜索机制而言,不仅提高了查找的速度,而且显著地提高了查找的成功率。     

云计算环境下的审计业务模式变革研究

云计算环境下的审计业务模式是未来审计信息化发展的必然趋势。在归纳了IT环境下审计业务模式演变并从IT和审计两个角度诠释“云审计”及其国内外研究应用现状的基础上,以审计业务流程为主线,从云服务与审计结合的技术场景、云计算环境下的审计业务流程实现步骤以及云计算应用所引起的审计业务风险变化三个方面出发,分析云计算环境下的审计业务模式变革,为掌握云计算应用所带来的审计业务流程变革、迎接云审计时代的到来提供理论基础。     

A new three-dimensional manufacturing service composition method under various structures using improved Flower Pollination Algorithm

With the growing complexity of customer requirements and the increasing scale of manufacturing services, how to select and combine the single services to meet the complex demand of the customer has become a growing concern. This paper presents a new manufacturing service composition method to solve the multi-objective optimization problem based on quality of service (QoS). The proposed model not only presents different methods for calculating the transportation time and transportation cost under various structures but also solves the three-dimensional composition optimization problem, including service aggregation, service selection, and service scheduling simultaneously. Further, an improved Flower Pollination Algorithm (IFPA) is proposed to solve the three-dimensional composition optimization problem using a matrix-based representation scheme. The mutation operator and crossover operator of the Differential Evolution (DE) algorithm are also used to extend the basic Flower Pollination Algorithm (FPA) to improve its performance. Compared to Genetic Algorithm, DE, and basic FPA, the experimental results confirm that the proposed method demonstrates superior performance than other meta heuristic algorithms and can obtain better manufacturing service composition solutions.