电网云测试服务平台的设计与应用

随着大数据、云计算等技术的快速发展以及在国内外企业的成功实践,如何引入云计算技术,对传统测试模式进行创新,实现传统软件测试模式向云测试模式的转换,成为企业对于软件质量保证的关键.针对云平台具备处理能力强、存储容量大、安全可靠、适度分散的能力,电网云测试服务平台将满足先进性、实用性、安全性等特点,采用“测试即服务”的应用模式,为企业提供内外部云测试服务.列举了移动测试在云平台上的应用,验证了电网云测试服务平台的可用性,并对平台的优势进行了简要分析.     

云计算虚拟环境下第三方软件测试环境研究

云计算成为目前信息技术领域主要的技术趋势之一。将会有越来越多的信息系统构建在其云计算环境下,软件系统测试环境也发生了相应的变化,同时软件测试业也面临着机遇与挑战。对云计算环境下的软件测试加以论述。     

基于SaaS的自动化测试云平台研究

本文首先针对中国移动在系统测试方面的现状,分析了自动化测试的优势以及在进行测试中存在的问题,开发了基于案例解析的自动化测试框架并阐述了其构造流程.结合多用户远程集中支撑的需求,提出了SaaS云服务的架构.最后,本文搭建了基于SaaS的自动化测试平台,并实现了可视化的用例编写和运维.结果表明,基于该平台,用户可以快部署建自动化测试并提高了测试效率.     

移动云计算安全问题及安全度量方法浅析

移动云计算安全度量是云计算安全中的一个研究领域,主要是研究采用手机等移动终端设备,通过移动互联网使用云计算服务过程中的安全问题及安全度量方法。本文分析了目前移动云计算行业发展过程中存在的安全问题,指出了这些安全问题是阻碍用户使用云计算服务的关键,分析了传统的安全度量方法在移动云计算中的应用的优缺点,并在此基础上提出了一种基于场景的移动云计算安全度量方法,该方法可以有效度量和展示用户正在使用的云计算服务的安全情况,可以解除用户对于安全的顾虑,让用户放心使用。     

云计算安全方案与部署研究

云安全是云计算产业发展面临的关键问题,业界尚未形成完整成熟的体系及解决方案.本文给出了典型的云计算部署方案,分析了云计算安全要素,并结合典型云计算架构,提出了全面的私有云安全部署方案.     

A Survey of Mobile Cloud Computing

Mobile Cloud Computing (MCC) is emerging as one of the most important branches of cloud computing. In this paper, MCC is defined as cloud computing extended by mobility, and a new ad-hoc infrastructure based on mobile devices. It provides mobile users with data storage and processing services on a cloud computing platform. Because mobile cloud computing is still in its infancy, we aim to clarify confusion that has arisen from different views. Existing works are reviewed, and an overview of recent advances in mobile cloud computing is provided. We investigate representative infrastructures of mobile cloud computing and analyze key components. Moreover, emerging MCC models and services are discussed, and challenging issues are identified that will need to be addressed in future work.     

MC‐MIPOG: A Parallel t‐Way Test Generation Strategy for Multicore Systems

Combinatorial testing has been an active research area in recent years. One challenge in this area is dealing with the combinatorial explosion problem, which typically requires a very expensive computational process to find a good test set that covers all the combinations for a given interaction strength (t). Parallelization can be an effective approach to manage this computational cost, that is, by taking advantage of the recent advancement of multicore architectures. In line with such alluring prospects, this paper presents a new deterministic strategy, called multicore modified input parameter order (MC‐MIPOG) based on an earlier strategy, input parameter order generalized (IPOG). Unlike its predecessor strategy, MC‐MIPOG adopts a novel approach by removing control and data dependency to permit the harnessing of multicore systems. Experiments are undertaken to demonstrate speedup gain and to compare the proposed strategy with other strategies, including IPOG. The overall results demonstrate that MC‐MIPOG outperforms most existing strategies (IPOG, IPOF, IPOF2, IPOG‐D, ITCH, TConfig, Jenny, and TVG) in terms of test size within acceptable execution time. Unlike most strategies, MC‐MIPOG is also capable of supporting high interaction strengths of t > 6.     

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。     

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.     

云计算安全问题分析

云计算作为一种新型的分布式计算模式,已迅速发展并成为学术界和产业界的焦点,然而其存在的安全隐患成为制约其发展的一个瓶颈。分析了现有的云计算特征及其面临的安全问题,然后提出相应的解决方案,为云计算发展提供一些安全方面的理论支撑。     

LARPA: A learning automata‐based resource provisioning approach for massively multiplayer online games in cloud environments

Nowadays, with the development of communication systems, massively multiplayer online games (MMOGs) have become very popular. In these games, the players all over the world dynamically interact with each other by sending play actions such as shootings, movements, or chatting in the form of MMOG sessions in real time through a large‐scale distributed environment. Leveraging affordable cloud computing to host such services is a widely investigated issue. It is because the arrival rate of players to the game environment has to make fluctuations, and the players expect services to be always available with an acceptable quality of service (QoS), especially in terms of the response time. Therefore, the dynamic provisioning of resources in order to deal with fluctuating demands due to variability in the arrival rate of players of the MMOG services is highly recommended. In this paper, we propose a learning‐based resource provisioning approach for MMOG services that is based on the combination of the autonomic computing paradigm and learning automata (LA). The remarkable performance of the proposed approach in terms of response time, cost, and allocated virtual machines (VMs) is assessed through simulation and comparison with the existing approaches.     

云计算端到端解决方案

本文首先分析企业IT部门面临的挑战和云计算所带来的机遇;然后通过戴尔云计算整体解决方案探讨如何构建端到端云计算平台;接着重点探讨如何实现客户端虚拟化。     

能量转换,功率半导体产业的需求挑战

本文论述了在可再生能源发展过程中,功率半导体产业所面临的需求挑战。     

网格计算商业演化的云计算与应用展望

网格计算及分布式计算、并行计算发展到一定阶段后衍生出了云计算。云计算是上述计算方法的商业实现。云计算是一种新型的计算模型,其基础体系结构属于云计算的技术层次,主要说明系统属性和设计思想;云计算的服务集合源于服务类型,说明能带给客户什么。云计算的核心技术有数据存储技术、数据管理技术、编程模型和云安全。云计算的应用范围和领域也十分广泛。     

基于云、网、边融合的边缘计算新方案:算力网络

边缘计算已经成为5G时代重要的创新型业务模式,尤其是其低时延特性,被认为是传统方案所不具备的,因此边缘计算能够提供更多的服务能力且具有更为广泛的应用场景。但边缘计算与处于中心位置的云计算之间的算力协同成为新的技术难题,即需要在边缘计算、云计算以及网络之间实现云网协同、云边协同,甚至边边协同,才能实现资源利用的最优化。在研究边缘计算算力分配和调度需求的基础上,提出了基于云、网、边深度融合的算力网络方案,并针对AI类应用给出了一个典型实施系统,该方案能够有效应对未来业务对计算、存储、网络甚至算法资源的多级部署以及在各级节点之间的灵活调度。     

云计算在中国移动广东公司的应用

为推动云计算战略在中国移动的有效落地,中国移动广东公司积极开展云计算应用的研究与验证,并形成了一系列应用成果。本文首先介绍了广东移动对云计算技术应用的整体规划,然后具体讲述广东移动对云计算技术的相关应用实践,包括在虚拟化资源池、终端桌面云以及分布式云计算等领域的应用成果,并对实践经验和应用效果进行了总结,最后对广东移动云计算技术应用的进一步发展和演进进行了展望。     

云计算中MapReduce技术研究

云计算是由并行计算、分布式计算和网格计算发展而来,MapReduce是云计算的核心技术之一,它为并行系统的数据处理提供了一个简单、优雅的解决方案,其主要目的是为了大型集群的系统能在大数据集上进行并行工作,并用于大规模数据的并行运算.首先介绍了云计算与MapReduce的相关知识,然后对目前MapReduce的国内外研究状况进行了介绍与评析,并总结了目前MapReduce模型的相关研究问题,最后进行总结并展望了未来发展的趋势.     

云计算系统在数字图书馆中的应用

对数字图书馆运用各种成熟的云计算系统进行了分析总结,阐述了云计算系统的主要服务形式在数字图书馆中的体现,指出了运用这些云计算系统构建数字图书馆服务平台的优势与不足,为构建数字图书馆信息化平台提供参考。     

电信级云计算平台安全策略研究

安全性和隐私保护是广大用户评估云计算服务最重要的考量因素,是云计算健康可持续发展的基础。本文结合电信级云计算平台及其服务提供特点,提出从基础设施安全、底层架构安全、用户信息安全、运营管理安全等多个层面构建纵深的云计算应用安全防御体系,并给出具体的安全策略部署及实施建议。