A polymorphic service management scheme based on virtual object for ubiquitous computing environment

For the ubiquitous computing environment, an important assumption is that all the components in any specific environment are connected with each other. With this assumption, we introduce an effective scheme to provide a personalized service based on Virtual Personal World (VPW). Virtual Personal World (VPW) which is a model focused on service continuity with specially designed components. Previous ubiquitous frameworks have been concerned with the location where a user is provided any specific service. However those questions above are not the most important problems anymore in VPW. It concentrates on the point whether the services are successive or not, wherever a user goes to any place. Services are not regarded as a sum of functions which is embedded on any objects in any certain place. We conceptually define a resource management scheme based on a unified form of the object which participates in service provision, so called virtual object (VO). Thus the service can be described as the sum of functions of VOs. With our resource management scheme, users can utilize their required object as VO wherever it is located. And also, for better utilization of VPW service, we introduce a novel form of profiles and service provision scheme based on the polymorphism. Our simulation result shows that the Ratio of VPW pure service time is 0.15 % higher than conventional location based service. And also the possibility that users can meet adequate service he wants raised 29 % in our proposed VPW environment.     

Personalized Service Discovery in Ubiquitous Computing Environments

In ubiquitous computing environments, users want to discover the most appropriate service to support their tasks. Because the most appropriate service depends on user preferences and context, service discovery protocols should personalize results. A service discovery framework based on the virtual personal space (VPS)-that is, a virtual administrative domain of services managed for the user-aims to provide this personalization. In this framework, personal operating middleware embedded in a personal device manages a set of contextually close services in the user's VPS. An inference module supports this management. Laboratory evaluations show that the VPS framework helps users find high-quality, appropriate services.     

Augmented reality agents for user interface adaptation

Most augmented reality (AR) applications are primarily concerned with letting a user browse a 3D virtual world registered with the real world. More advanced AR interfaces let the user interact with the mixed environment, but the virtual part is typically rather finite and deterministic. In contrast, autonomous behavior is often desirable in ubiquitous computing (Ubicomp), which requires the computers embedded into the environment to adapt to context and situation without explicit user intervention. We present an AR framework that is enhanced by typical Ubicomp features by dynamically and proactively exploiting previously unknown applications and hardware devices, and adapting the appearance of the user interface to persistently stored and accumulated user preferences. Our framework explores proactive computing, multi‐user interface adaptation, and user interface migration. We employ mobile and autonomous agents embodied by real and virtual objects as an interface and interaction metaphor, where agent bodies are able to opportunistically migrate between multiple AR applications and computing platforms to best match the needs of the current application context. We present two pilot applications to illustrate design concepts. Copyright © 2007 John Wiley & Sons, Ltd.     

基于可信计算的云用户安全模型

随着云计算的发展,它的安全问题不容忽视。根据云用户所面临的数据安全及身份的隐私性问题,提出了基于可信计算的云用户安全模型。安全模型以可信计算技术为支撑,除了采用传统的安全策略外,提出了建立私有虚拟机,为用户提供一个私密的运行空间,防止其他恶意用户或管理员访问该虚拟机;给出了用户信息匿名化的方法,当高安全级用户申请服务和变更服务时保证用户身份信息的私密性,防止服务提供商恶意利用和泄露用户信息,为用户提供一个安全的运行环境。     

私有云平台服务能力检测方法

针对现阶段使用私有云评测方法缺失所导致搭建私有云供需不匹配的问题,提出了一种自适应、可扩展的私有云系统能力检测方法,可对基础设施即服务（IaaS）云计算系统能力进行评测。首先,通过私有云应用程序接口动态扩展虚拟机数量;然后,通过性能特征模型选取虚拟机所需配置的硬件信息和操作系统类别,并根据用户的需求差异使用不同的负载模型,形成相应的模拟运行环境;最后,使用云计算服务等级协议（SLA）作为测试标准来衡量私有云服务能力。使用所提方法对Openstack开源私有云平台的能力进行了评测,实验结果表明,所提方法可以准确得出私有云服务能力,结果和用户实测一致。该方法负载生成成本更低,测试效率更高。并将该方法与Openstack自带的组件Rally进行对比,拓展性和负载动态模拟有很大的改进。     

Look, Ma, My homepage is Mobile!

Much of the ongoing research in ubiquitous computing has concentrated on providing context information, e.g. location information, to the level of services and applications. Typically, mobile clients obtain location information from their environment which is used to provide “locally optimal” services. In contrast, it may be of interest to obtain information about the current context a mobile user or device is in, from a client somewhere on the Web, i.e. to use the mobile device as an information provider for Internet clients. As an instance of such services we propose the metaphor of a “location-aware” Web homepage of mobile users providing information about, e.g. the current location a mobile user is at. Requesting this homepage can be as easy as typing a URL containing the mobile user's phone number such ashttp://mhp.net/+49123456789 in an off-the-shelf browser. The homepage is dynamically constructed as Web users access it and it can be configured in various ways that are controlled by the mobile user. We present the architecture and implementation and discuss issues around this example of “inverse” ubiquitous computing.     

Implementing adaptive mobile GI services based on ontologies: Examples from pedestrian navigation support

As we are facing the dawn of ubiquitous computing (UbiComp) by emerging mobile devices and distributed applications, personalization is leaving the desktop domain, because adaptation and context-awareness play a major role in UbiComp in order to realize the user friendliness postulated for UbiComp applications. Adaptation is a relatively new concept for GI services. Therefore we introduce the related research areas. The two most important factors for adaptation are (a) context as the representation of the current situation and (b) the user itself. In particular how to dynamically derive information on the users’ properties is a research area applying learning strategies introduced shortly. We see these two concepts not isolated but propose an integrated situation model including several types of context as well as user parameters. After this introduction we present several approaches to realizing adaptive mobile GI services in the domain of pedestrian navigation and tourist information – representing first steps towards UbiGIS (www.ubigis.org). These include context and user-aware proactive tips, personalized tour planning and adaptive maps. Implementations and new concepts for extensions of these are presented. The paper closes by an outlook on open research issues related to adaptive GI services.     

Environmental-aware virtual data center network

Cloud computing services have recently become a ubiquitous service delivery model, covering a wide range of applications from personal file sharing to being an enterprise data warehouse. Building green data center networks providing cloud computing services is an emerging trend in the Information and Communication Technology (ICT) industry, because of Global Warming and the potential GHG emissions resulting from cloud services. As one of the first worldwide initiatives provisioning ICT services entirely based on renewable energy such as solar, wind and hydroelectricity across Canada and around the world, the GreenStar Network (GSN) was developed to dynamically transport user services to be processed in data centers built in proximity to green energy sources, reducing Greenhouse Gas (GHG) emissions of ICT equipments. Regarding the current approach, which focuses mainly in reducing energy consumption at the micro-level through energy efficiency improvements, the overall energy consumption will eventually increase due to the growing demand from new services and users, resulting in an increase in GHG emissions. Based on the cooperation between Mantychore FP7 and the GSN, our approach is, therefore, much broader and more appropriate because it focuses on GHG emission reductions at the macro-level. This article presents some outcomes of our implementation of such a network model, which spans multiple green nodes in Canada, Europe and the USA. The network provides cloud computing services based on dynamic provision of network slices through relocation of virtual data centers.     

面向普适计算环境的嵌入式系统研究

服务提供与用户界面自适应问题是普适计算中的重要研究课题。嵌入式系统提供的服务对普适计算的服务起到了重要的支持作用;普适计算任务要获取用户的服务也需要自适应的用户界面来显示服务项目,嵌入式系统的自适应界面是合适的选择。但是,传统的嵌入式系统服务软件不能很好地实现上述目标。针对传统嵌入式系统服务模型的不足,首先总结了面向普适计算的嵌入式系统硬件结构,并将这种结构命名为计算元。随后提出了一种新的嵌入式系统服务提供模型,统一了用户上下文交互的标准信息格式。最后研究了该服务模型的实现。     

Storage allocation scheme for virtual instances of cloud computing

Cloud computing delivers resources and services through virtual machines on a pay-as-you-go basis. The allocation of storage space to users is usually determined by means of open allocation mechanisms that cannot guarantee an efficient allocation. Current allocation mechanisms do not consider user requests when making provisioning decisions. In other words, they assume that the storage spaces are fixed. In this study, we propose an algorithm for allocating storage spaces based on the requests of users. We present a unified storage allocation scheme (USAS) for cloud computing. USAS is a dynamic storage allocation framework for unlimited, limited, and free users. Our proposed approach is based on a storage partitioning policy, and we have compared our proposed scheme with open storage scheme and fixed storage scheme with common partition. We show through simulation study that USAS dynamically allocates space for different user requirements for all traffic loads.

     

一个适用于遍在计算环境的中间件体系结构框架

1.背景随着计算技术和通信技术的发展,不仅桌式计算机变得非常普遍,非PC设备正以惊人的速度成为市场的主流,如:机顶盒、移动电话、PDA、家用电器、汽车电子、游戏机等等。特别是随着家庭网络和无线网络的发展,网络变得更加的普遍。计算已经不只限于桌面,它渗透到人们生活和工作的各个环节,这就是所谓的无处不在的计算环境(pervasive computing,简称遍在计算环境)。在这样的环境中,人们希望:即使他们在频繁地移动,或者各种资源在动态地加入或离开,他     

一种云计算环境下的虚拟机动态迁移策略

提出一种云计算环境下的虚拟机动态迁移策略DMS-VM(Dynamic Migration Strategy for Virtual Machine) 。首先,假设了一种云计算环境下虚拟机迁移场景,在该场景下多种应用服务请求处于动态变化之中,并且提供的应用服务与虚拟机是一对一绑定的;其次,提出了该场景下的基于多约束的多目标规划模型,并设计遗传算法作为虚拟机的主要迁移策略;最后利用某个企业的大数据中心作为云端测试环境, 对比测试DMS-VM算法与已有的虚拟机迁移算法的性能。实验结果表明,DMS-VM迁移策略能够更好的减少物理主机的使用数量和虚拟机的迁移次数,同时降低数据中心能耗,性能优于已有的迁移策略。     

Effectively deploying services on virtualization infrastructure

Virtualization technology provides an opportunity to acieve efficient usage of computing resources. However, the management of services on virtualization infrastructure is still in the preliminary stage. Contstructing user service environments quickly and efficiently remains a challenge. This paper presents a service oriented multiple-VM deployment system (SO-MVDS) for creating and configuring virtual appliances running services on-demand. The system provides a template management model where all the virtual machines are created based on the templates with the software environment pre-prepared. To improve the deployment performance, we explore some strategies for incremental mechanisms and deployment.We also design a service deployment mechanism to dynamically and automatically deploy multiple services within virtual appliances. We evaluate both the deployment time and I/O performance using the proposed incremental mechanism. The experimental results show that the incremental mechanism outperforms the clone one.     

普及计算及其应用模型

1.普及计算的基本概念 1.什么是普及计算? 我们当前所处的时代是计算机技术仍然复杂到让大部分人们难以学习的地步的时代。虽然目前计算机已经进入了许多人的家庭,但是真正能够发挥计算机全部能力的用户是很少的。计算机业界有许多的技术和专有名词,而且它们还随着时间的流逝不断发展变化。再者,过去所有的传统思路都是以计算机为中心,当计算机系统发生变化时,人们的思想也必须     

Convergence agent model for developing u-healthcare systems

Ubiquitous networking, the interlinking of computers, consumer electronics, automobiles, home appliances, medical equipment, transportation systems, animals and plants through an overlapping of electronic spaces and physical spaces, is expected to provide an environment that enhances our lives through improved convenience, efficiency and safety in all areas.Today’s healthcare industry emphasizes safety, efficiency, patient-oriented approach, timeliness and balance. u-healthcare makes it possible to safely deliver appropriate services from any location at any time. To explain the emergence of u-healthcare, one must invoke, first of all, progress in IT and medical technology, and then the desire and willingness on the part of health care institutions to adopt the new service concept and increased health care demand. Digitalization of information, introduction of broadband communication and leaps made in healthcare technology in recent years have provided the technological capacity necessary for the achievement of u-healthcare.Based on recently reached theoretical results, integrating u-healthcare environments in virtual organizations, we proposed a methodology for the design and implementation of u-healthcare, linking the distributed mobile agents with medical entities into a convergence and collaborative environment. Despite the challenges in implementing and deploying u-healthcare, the advantages of ubiquitous healthcare are enabled by our smart model for the soft computing endowed ubiquitous. The strength of our approach is that it relates to u-healthcare a system which consists of its dual character emerging from the synergetic interaction between ubiquitous computing techniques and the mobile devices in convergence manner. We have developed a set of initial healthcare agent services on the mobile collaboration framework. We evaluate the functionality and effectiveness of our convergence mobile agent, whether the platform can manage services based on the model and whether the results of u-healthcare services discovery could satisfy user’s requirements with example cases.     

普适计算环境下的虚拟机技术研究

普适计算环境中资源和服务利用率较低,传统应用程序在该环境下无法兼容。为此,提出一种适用于普适计算环境的虚拟机技术。使用设备请求代理屏蔽复杂的普适计算网络环境,对上层应用提供统一硬件平台,支持多个普适计算应用同时运行。实验结果表明,该虚拟化技术能兼容传统应用,提高普适计算资源和服务的利用率。     

普适环境中任务计算范例研究综述

为了减少用户注意力的耗费,实现普适计算以用户为中心的目标,从高层、抽象的用户任务出发的任务计算范例逐步引起了国内外研究者的关注,并被认为是实现"以用户为中心"的普适计算的可行方式.基于此,对国内外关于任务计算范例的研究现状进行总结和分析,并在此基础上对任务计算范例未来发展趋势进行了展望.     

Active affective State detection and user assistance with dynamic bayesian networks

With the rapid development of pervasive and ubiquitous computing applications, intelligent user-assistance systems face challenges of ambiguous, uncertain, and multimodal sensory observations, user's changing state, and various constraints on available resources and costs in making decisions. We introduce a new probabilistic framework based on the dynamic Bayesian networks (DBNs) to dynamically model and recognize user's affective states and to provide the appropriate assistance in order to keep user in a productive state. We incorporate an active sensing mechanism into the DBN framework to perform purposive and sufficing information integration in order to infer user's affective state and to provide correct assistance in a timely and efficient manner. Experiments involving both synthetic and real data demonstrate the feasibility of the proposed framework as well as the effectiveness of the proposed active sensing strategy.     

Maintenance of sustainable operation of pipeline-parallel computing systems in the cloud environment

This paper reviews the model and algorithm for the intelligent scheduling of a pipelineparallel computing process, which takes into account changes in the resource consumption of computing nodes. The solution is implemented in a virtual cloud environment, which provides security and accessibility of high-performance computing services due to the isolation of physical resources and the monitoring and optimization of their use, as well as the adaptive distribution of computational load.     

Employing computational intelligence to generate more intelligent and energy efficient living spaces

Our living environments are being gradually occupied with an abundant number of digital objects that have networking and computing capabilities. After these devices are plugged into a network, they initially advertise their presence and capabilities in the form of services so that they can be discovered and, if desired, exploited by the user or other networked devices. With the increasing number of these devices attached to the network, the complexity to configure and control them increases, which may lead to major processing and communication overhead. Hence, the devices are no longer expected to just act as primitive stand-alone appliances that only provide the facilities and services to the user they are designed for, but also offer complex services that emerge from unique combinations of devices. This creates the necessity for these devices to be equipped with some sort of intelligence and self-awareness to enable them to be self-configuring and self-programming. However, with this ＂smart evolution＂, the cognitive load to configure and control such spaces becomes immense. One way to relieve this load is by employing artificial intelligence （AI） techniques to create an intelligent ＂presence＂ where the system will be able to recognize the users and autonomously program the environment to be energy efficient and responsive to the user＇s needs and behaviours. These AI mechanisms should be embedded in the user＇s environments and should operate in a non-intrusive manner. This paper will show how computational intelligence （CI）, which is an emerging domain of AI, could be employed and embedded in our living spaces to help such environments to be more energy efficient, intelligent, adaptive and convenient to the users.