业务平台云迁移方案的探讨

业务平台传统建设模式存在着诸多问题,而云计算作为基于互联网的新型IT服务提供架构,将集群计算能力通过互联网向内外部用户提供服务的新业务形式,将业务平台迁移至云平台可实现快速部署业务,提高业务平台资源利用率等。本文在研究云计算技术的基础上,对业务平台现状及面临的问题进行了探讨和研究,最后对业务平台向云平台迁移的方案进行深入研究及分析。     

基于开源的消息队列云服务研究

随着互联网应用软件规模的不断增长,分布式架构成为了应用开发的主流模式,而消息队列解决了分布式应用之间的通信难题,开源的推动使得消息队列成为了快速发展的热点技术.同时,云计算经过十余年的发展,逐渐从提供IT基础设施向应用开发渗透,国内主流的云服务商基于开源的消息队列技术推出了各自的消息队列云服务,如何评估这些云产品的功能和性能,给用户提供客观准确的参考,从而推动云计算市场积极发展,是当前亟待解决的重要问题.首先介绍了当前主流的开源消息队列产品及其特点,然后分析研究了云服务化的消息队列产品的特征,最后分析了消息队列云服务的性能测试指标,为企业及个人用户选型提供了参考意见.     

面向云计算的软件架构研究

云计算的出现给IT领域带来了一场新的变革,今年是云计算发展非常重要的一年。随着全球对云计算研究的热潮,国际国内各大IT公司相继推出自己的云计算产品,这些云计算产品无一例外都是通过网络向用户提供服务的,这样对数据安全、可靠性和云计算服务自身的健壮性存在着挑战。随着云计算广泛的应用,传统的软件架构也将受到挑战,特别是在3层软件架构中的数据服务层将发生变化。     

云计算安全问题剖析

云计算是计算机资源公共化的商业实现,为信息管理和服务交付提供了全新的思路,为IT领域带来了深刻变革。随着云计算的广泛使用,安全问题已成为云计算领域不容忽视和亟待解决的问题。分析了云计算面对的典型安全问题,提出了解决这些问题的方法,明确了下一步的研究方向。     

Nature inspired meta‐heuristic algorithms for solving the service composition problem in the cloud environments

Many sorts of services in the cloud environments must be composited based on the user's requests to meet the requirements. Thus, the distributed services are joined to the cloud services through service composition. Also, it is known as NP‐hard problems and many researchers significantly are focused on this problem in recent years. Therefore, many different nature‐inspired meta‐heuristic techniques are proposed for solving this problem. The nature‐inspired meta‐heuristic techniques have an important role in solving the service composition problem in the cloud environments, but there is not a wide‐ranging and detailed paper about reviewing and studying the important mechanisms in this field. Therefore, this study presents a comprehensive analysis of the nature‐inspired meta‐heuristic techniques for the service composition issue in the cloud computing. The review also contains a classification of the important techniques. These classifications include Ant Colony Optimization, Bee Colony Optimization, Genetic Algorithm, Particle Swarm Optimization, Cuckoo Optimization Algorithm, Bat Algorithm, greedy algorithm, and hybrid algorithm. An important aim of this paper is to highlight the emphasis on the optimization algorithms, and the benefits to tackle the challenges are encountered in the cloud service composition. Also, this paper presents the advantages and disadvantages of the nature‐inspired meta‐heuristic algorithms for solving the service composition problem in the cloud environments. Moreover, this paper aims to provide more efficient service composition algorithms in the future. Finally, the obtained results have shown that the discussed algorithms have an important effect in solving the cloud service composition problem, and this effect has been increased in recent years.     

云计算在高校云服务中安全相关技术分析

随着云计算技术的逐渐成熟,云计算的安全问题越来越被重视。首先介绍云安全及相关概念,分析云计算安全研究现状,然后对云计算的安全性进行分析,并给出了云计算安全参考模型,最后对高校云安全的相关技术进行研究探讨。     

云计算环境下密文搜索算法的研究

为确保数据私密性,用户选择将数据加密后再上传到云端,但云无法为密文数据提供管理和搜索等服务。密文搜索技术可以把保护用户数据私密性和有效利用云服务结合起来。在分析云环境下密文搜索算法的基础上,提出基于云环境的密文搜索体系结构,研究其中的关键技术,指出云环境应用密文搜索技术存在的问题和改进的方向。     

云环境下的IT服务管理研究

云计算技术的出现让企业面临着新的选择和决策.在优势和风险并存的情况下,企业如何从云环境中获取和管控所需要的IT服务是亟需研究的问题.文中基于云服务的特点,对企业的云服务管理要素进行了分析,参考ITIL（Information Technology Infrastructure Library,信息技术基础架构库）理论,提出了云环境下对服务匹配和服务实施过程的管控方法.最后构建了面向企业的云服务管理模型,以供企业进行云环境下的IT建设时参考.     

A prediction‐based and power‐aware virtual machine allocation algorithm in three‐tier cloud data centers

With the increasing popularity of cloud computing services, the more number of cloud data centers are constructed over the globe. This makes the power consumption of cloud data center elements as a big challenge. Hereby, several software and hardware approaches have been proposed to handle this issue. However, this problem has not been optimally solved yet. In this paper, we propose an online cloud resource management with live migration of virtual machines (VMs) to reduce power consumption. To do so, a prediction‐based and power‐aware virtual machine allocation algorithm is proposed. Also, we present a three‐tier framework for energy‐efficient resource management in cloud data centers. Experimental results indicate that the proposed solution reduces the power consumption; at the same time, service‐level agreement violation (SLAV) is also improved.     

云计算关键技术的探讨

云计算(cloud computing)中涉及了分布式处理、并行处理和网格计算、网络存储、虚拟化、负载均衡等传统计算机技术和网络技术。本文从云计算的体系架构和服务角度出发,对云计算中实现的访问控制管理、数据管理和虚拟化功能所使用加密算法和虚拟化等关键技术,用计算机和网络知识分析了这些技术存在的问题,提出了需要改进的方向。     

云计算技术分析及其展望

云计算是在传统的数据存储、分布式计算和网络技术等计算机技术的基础之上发展而来的,它旨在分布式存储和处理海量数据,以方便人们按需及时获取相应服务。在当今这个数据信息"大爆炸"的时代,云计算的实现和发展日益显现出了它的强大存储计算能力和广泛应用前景。比较了现有的云计算的概念并给出新的理解,分析了云计算的服务模式和系统结构,总结了云计算的关键技术,阐述了云计算技术面临的问题,介绍并展望了云计算的国内外发展应用及其广阔前景。     

Analysis of Hot Topics in Cloud Computing

In the field of cloud computing, topics such as computing resource virtualization, differences between grid and cloud computing, relationship between high-performance computers and cloud computing centers, and cloud security and standards have attracted much research interest. This paper analyzes these topics and highlights that resource virtualization allows information services to be scalable, intensive, and specialized; grid computing involves using many computers for large-scale computing tasks, while cloud computing uses one platform for multiple services; high-performance computers may not be suitable for a cloud computing; security in cloud computing focuses on trust management between service suppliers and users; and based on the existing standards,standardization of cloud computing should focus on interoperability between services.     

一种面向云计算环境的安全管理模型

在云计算中,对大规模的资源提供一种安全有效的访问是其一个很重要的组成部分。在传统的分布式访问控制模型中．服务请求者将主体属性或能力等披露给提供资源者．访问控制决策完全取决于以资源请求者能力和安全策略为输入的一致性证明。但是。这些主体属性与能力等通常携带了大量信息。势必给云环境中的互操作带来许多安全隐患和风险。针对云环境的特点,提出一种针对云环境资源的安全模型,采用一种基于属性的访问控制技术来解决云计算环境下复杂和困难的安全问题,并且提出了一个安全管理模型来动态的决定对资源的访问控制．通过对资源属性的动态改变来达到对资源的安全访问的目的。     

安全云服务平台技术研究

安全云服务是将云计算技术应用于业务应用安全领域,通过对安全设施资源及业务能力进行云化,形成安全能力资源池,并基于互联网提供按需的安全服务,从而实现安全即服务的一种技术和业务模式。安全云服务将传统安全技术和云计算技术进行了双向有机融合,能够提供更强大、更为有力的安全服务能力。文中对安全云服务平台的主要架构和服务模式进行了阐述,能够对国内安全云服务平台的建设提供一些参考。     

A new approach for service migration in cloud‐based e‐commerce using an optimization algorithm

Service‐oriented architecture (SOA) has a crucial role in backing productive cloud services. Also, the vast spread of the theoretical notion of diverse businesses (like e‐commerce) into the actual use has been recently applied by cloud computing. The service functionality could be affected by overfilling of the network traffic because of the broadly dispersed nature of e‐commerce in clouds—a key challenge for immediate jobs. Throughout the last decade, a vast range of applications or large‐scale operators has increasingly attracted to migrate the services in clouds. An effective method for accessing the applications throughout standard business hours is continually moving virtual machine containers from one data center to another. Now, with the commonness of cloud computing, many applications have been moved to the cloud fully/partly. It can be handled through the migration of cloud services to diverse platforms in a way that minimizes the communication cost of e‐commerce. As this issue has an NP‐hard nature, in the present article, we present an automatic smart service migration outline through the ant colony optimization (ACO) algorithm on cloud‐oriented e‐commerce. In the presented model, we use the ACO algorithm to take the finest (near‐optimal) service migration decisions. Based on the obtained results, the proposed technique has the optimal number of migrations compared to the existing models.     

云计算热点问题分析

在云计算的研究和应用中一些热点问题比较突出,如：如何理解计算资源及其虚拟化、云计算与网格计算的差异、云计算中心与高性能计算机的关系、云安全和云标准等。文章对此给出了一些见解：计算资源的虚拟化促使信息服务走向规模化、集约化和专业化;网格计算是＂多为一＂,而云计算是＂一为多＂;部署于高性能计算中心的高性能计算机未必适合云计算;云安全已经将传统安全问题发展为服务方和被服务方之间的信任和信任管理问题;在现有标准的基础上,云计算标准将需更加关注服务的互操作等。     

TOPVISOR: Two‐level controller‐based approach for service advertisement and discovery in vehicular cloud network

Vehicular cloud is a kind of mobile cloud in which vehicles share their resources and provide services for each other. The first step in establishing a vehicular cloud network is the service advertisement and discovery. Due to the dynamic nature of vehicular cloud networks, services are not continuous and the service location may vary at any time depending on the vehicle location. Therefore, higher network traffic is generated to access the consistent and up‐to‐date information. In this paper, a two‐level hierarchical approach is proposed for service advertisement and discovery in vehicular cloud networks. To register the services' specification in this approach, the distributed directories in RSUs and central controllers are used. Moreover, a method is used to avoid extra update packets by localizing the updates. The simulation results show improvement in the packet delivery rate as well as a reduction in transmission bandwidth preventing the network congestion.     

An efficient authentication system of smart device using multi factors in mobile cloud service architecture

Mobile cloud computing environments have overcome the performance limitation of mobile devices and provide use environments not restricted by places. However, user information protection mechanisms are required because of both the security vulnerability of mobile devices and the security vulnerability of cloud computing. In this paper, a multifactor mobile device authentication system is proposed to provide safety, efficiency, and user convenience for mobile device use in cloud service architectures. This system improves security by reinforcing the user authentication required before using cloud computing services. Furthermore, to reinforce user convenience, the system proposed increases the strength of authentication keys by establishing multiple factors for authentication. For efficient entries in mobile device use environments, this system combines mobile device identification number entries, basic ID/password type authentication methods, and the authentication of diverse user bio‐information. This system also enhances authentication efficiency by processing the authentication factors of a user's authentication attempt in a lump instead of one by one in the cloud computing service environment. These authentication factors can be continuously added, and this authentication system provides authentication efficiency even when authentication factors are added. The main contribution is to improve high security level by through authentication of mobile devices with multifactors simultaneously and to use the mobile cloud service architecture for its efficient processing with respect to execution time of it. Copyright © 2013 John Wiley & Sons, Ltd.     

移动云服务的自适应业务质量管理

The rapid growth of cloud computing and mobile Internet services has triggered the emergence of mobile cloud services. Among many challenges, QoS management is one of the crucial issues for mobile cloud services. However, existing works on QoS management for cloud computing can hardly fit well to the mobile environment. This paper presents a QoS management architecture and an adaptive management process that can predict, assess and ensure QoS of mobile cloud services. Furthermore, we propose an adaptive QoS management model based on Fuzzy Cognitive Maps (FCM), which suitably represents the causal relationships among QoS related properties and cloud service modes. We evaluate the proposed solution and demonstrate its effectiveness and benefits based on simulation work.     

云计算中的按需服务

云计算为计算系统软硬件基础设施的设计和部署及用户对信息系统的规划和使用提供了一种新的模式。方便、灵活的方式,高效、价格低廉和保障质量的服务是云计算模式的典型特征。文章从服务的角度提出一个云计算中按需服务系统的架构,并基于架构探讨云计算中的按需服务问题,包括分布式服务资源的组织管理与监控、情境感知的按需服务建模、大规模网络环境中的按需服务组合,以及基于复杂系统理论的服务系统。文章还以地球空间信息系统中的连续运行参考站网为例,用云计算的视点分析了其系统的体系结构,并对其服务中出现的问题进行了探讨。