以往独立、分散式的软硬件监控管理方式已经难以适应实时测控数据处理对设备的可靠性需求。基于微服务(Microservice)体系架构,依托云平台设计并实现一体化性能监控系统,通过云平台提供的SaaS(Software as a Service)云服务Web接口可以...以往独立、分散式的软硬件监控管理方式已经难以适应实时测控数据处理对设备的可靠性需求。基于微服务(Microservice)体系架构,依托云平台设计并实现一体化性能监控系统,通过云平台提供的SaaS(Software as a Service)云服务Web接口可以透明地对中心的各类设备、服务进行分类管理,实现监控数据收集分析和故障自动识别报警等功能。实验表明,基于微服务架构的一体化性能监控SaaS云服务对被监控设备或服务的性能损耗和资源占用少、数据获取和推送速度快、异常事件触发精准、处理闭环,能够较好地满足实时测控中心对设备和服务的监控需求。展开更多
Cloud computing facilitates the great potentiality of storing and managing remote access to services in terms of software as a service(SaaS).Several organizations have moved towards outsourcing over the cloud to reduc...Cloud computing facilitates the great potentiality of storing and managing remote access to services in terms of software as a service(SaaS).Several organizations have moved towards outsourcing over the cloud to reduce the burden on local resources.In this context,the metaheuristic optimization method is determined to be highly suitable for selecting appropriate services that comply with the requirements of the client’s requests,as the services stored over the cloud are too complex and scalable.To achieve better service composition,the parameters of Quality of Service(QoS)related to each service considered to be the best resource need to be selected and optimized for attaining potential services over the cloud.Thus,the cloud service composition needs to concentrate on the selection and integration of services over the cloud to satisfy the client’s requests.In this paper,a Hybrid Chameleon and Honey Badger Optimization Algorithm(HCHBOA)-based cloud service composition scheme is presented for achieving efficient services with satisfying the requirements ofQoS over the cloud.This proposed HCHBOA integrated the merits of the Chameleon Search Algorithm(CSA)and Honey Badger Optimization Algorithm(HBOA)for balancing the tradeoff between the rate of exploration and exploitation.It specifically used HBOA for tuning the parameters of CSA automatically so that CSA could adapt its performance depending on its incorporated tuning factors.The experimental results of the proposed HCHBOA with experimental datasets exhibited its predominance by improving the response time by 21.38%,availability by 20.93%and reliability by 19.31%with a minimized execution time of 23.18%,compared to the baseline cloud service composition schemes used for investigation.展开更多
Characterized as automated access,analysis,management,improvement,identification,and efficiency,SaaS BI has played a significant role recently. This essay presents information about SaaS BI,such as,the generic reason ...Characterized as automated access,analysis,management,improvement,identification,and efficiency,SaaS BI has played a significant role recently. This essay presents information about SaaS BI,such as,the generic reason for prevalent,advantages and limitations of SaaS BI,current market overview,tendency of development of SaaS BI,and applications in business. This paper uses the literature study and descriptive study methods in order to analysis the influence and functions of SaaS BI to the businesses and coping strategies.展开更多
Cloud computing is one of the main issues of interest to the scientific community of the spatial data. A cloud is referred to computing infrastructure for a representation of network. From the perspective of providers...Cloud computing is one of the main issues of interest to the scientific community of the spatial data. A cloud is referred to computing infrastructure for a representation of network. From the perspective of providers, the main characteristics of cloud computing is being dynamic, high power in computing and storage. Also cloud computing is a cost benefit and effective way for representation of web-based spatial data and complex analysis. Furthermore, cloud computing is a way to facilitate distributed computing and store different data. One of the main features of cloud computing is ability in powerful computing and dynamic storage with an affordable expense and secure web. In this paper we further investigate the methodologies, services, issues and deployed techniques also, about situation of cloud computing in the past, present and future is probed and some issues concerning the security is expressed. Undoubtedly cloud computing is vital for spatial data infrastructure and consequently the cloud computing is able to expand the interactions for spatial data infrastructure in the future.展开更多
SaaS(software as a service,软件即服务)是一种全球兴起的创新的软件服务模式,它的出现对中小企业的信息化产生了深远影响。目前面向SaaS应用的业务逻辑在线定制方法存在着定制复杂性高、可定制内容有限等缺点。为了解决这些问题,采用...SaaS(software as a service,软件即服务)是一种全球兴起的创新的软件服务模式,它的出现对中小企业的信息化产生了深远影响。目前面向SaaS应用的业务逻辑在线定制方法存在着定制复杂性高、可定制内容有限等缺点。为了解决这些问题,采用了基于领域工程的业务规则模板的方法,提出了适合SaaS应用的业务逻辑定制框架,兼顾了应用的易用性及性能。案例表明了此框架的有效性。展开更多
为解决SaaS(Software as a Service)应用中多租户重复定制造成的数据冗余存储问题,提出一种基于元数据的差异数据存储方法。该方案研究传统元数据驱动的存储模式,通过对元数据的分类定义,给出差异存储方案的形式化语义和数据存储策略。...为解决SaaS(Software as a Service)应用中多租户重复定制造成的数据冗余存储问题,提出一种基于元数据的差异数据存储方法。该方案研究传统元数据驱动的存储模式,通过对元数据的分类定义,给出差异存储方案的形式化语义和数据存储策略。最后分别对增删改查操作提出该方案的数据访问算法。计算表明,差异存储方法在冗余减少的概率分析下显示出较高的存储空间利用效率,有效地减少了租户的冗余存储。同时性能测试结果还反映出该方案具有较好的数据访问性能。展开更多
文摘以往独立、分散式的软硬件监控管理方式已经难以适应实时测控数据处理对设备的可靠性需求。基于微服务(Microservice)体系架构,依托云平台设计并实现一体化性能监控系统,通过云平台提供的SaaS(Software as a Service)云服务Web接口可以透明地对中心的各类设备、服务进行分类管理,实现监控数据收集分析和故障自动识别报警等功能。实验表明,基于微服务架构的一体化性能监控SaaS云服务对被监控设备或服务的性能损耗和资源占用少、数据获取和推送速度快、异常事件触发精准、处理闭环,能够较好地满足实时测控中心对设备和服务的监控需求。
文摘Cloud computing facilitates the great potentiality of storing and managing remote access to services in terms of software as a service(SaaS).Several organizations have moved towards outsourcing over the cloud to reduce the burden on local resources.In this context,the metaheuristic optimization method is determined to be highly suitable for selecting appropriate services that comply with the requirements of the client’s requests,as the services stored over the cloud are too complex and scalable.To achieve better service composition,the parameters of Quality of Service(QoS)related to each service considered to be the best resource need to be selected and optimized for attaining potential services over the cloud.Thus,the cloud service composition needs to concentrate on the selection and integration of services over the cloud to satisfy the client’s requests.In this paper,a Hybrid Chameleon and Honey Badger Optimization Algorithm(HCHBOA)-based cloud service composition scheme is presented for achieving efficient services with satisfying the requirements ofQoS over the cloud.This proposed HCHBOA integrated the merits of the Chameleon Search Algorithm(CSA)and Honey Badger Optimization Algorithm(HBOA)for balancing the tradeoff between the rate of exploration and exploitation.It specifically used HBOA for tuning the parameters of CSA automatically so that CSA could adapt its performance depending on its incorporated tuning factors.The experimental results of the proposed HCHBOA with experimental datasets exhibited its predominance by improving the response time by 21.38%,availability by 20.93%and reliability by 19.31%with a minimized execution time of 23.18%,compared to the baseline cloud service composition schemes used for investigation.
文摘Characterized as automated access,analysis,management,improvement,identification,and efficiency,SaaS BI has played a significant role recently. This essay presents information about SaaS BI,such as,the generic reason for prevalent,advantages and limitations of SaaS BI,current market overview,tendency of development of SaaS BI,and applications in business. This paper uses the literature study and descriptive study methods in order to analysis the influence and functions of SaaS BI to the businesses and coping strategies.
文摘Cloud computing is one of the main issues of interest to the scientific community of the spatial data. A cloud is referred to computing infrastructure for a representation of network. From the perspective of providers, the main characteristics of cloud computing is being dynamic, high power in computing and storage. Also cloud computing is a cost benefit and effective way for representation of web-based spatial data and complex analysis. Furthermore, cloud computing is a way to facilitate distributed computing and store different data. One of the main features of cloud computing is ability in powerful computing and dynamic storage with an affordable expense and secure web. In this paper we further investigate the methodologies, services, issues and deployed techniques also, about situation of cloud computing in the past, present and future is probed and some issues concerning the security is expressed. Undoubtedly cloud computing is vital for spatial data infrastructure and consequently the cloud computing is able to expand the interactions for spatial data infrastructure in the future.
文摘SaaS(software as a service,软件即服务)是一种全球兴起的创新的软件服务模式,它的出现对中小企业的信息化产生了深远影响。目前面向SaaS应用的业务逻辑在线定制方法存在着定制复杂性高、可定制内容有限等缺点。为了解决这些问题,采用了基于领域工程的业务规则模板的方法,提出了适合SaaS应用的业务逻辑定制框架,兼顾了应用的易用性及性能。案例表明了此框架的有效性。
文摘为解决SaaS(Software as a Service)应用中多租户重复定制造成的数据冗余存储问题,提出一种基于元数据的差异数据存储方法。该方案研究传统元数据驱动的存储模式,通过对元数据的分类定义,给出差异存储方案的形式化语义和数据存储策略。最后分别对增删改查操作提出该方案的数据访问算法。计算表明,差异存储方法在冗余减少的概率分析下显示出较高的存储空间利用效率,有效地减少了租户的冗余存储。同时性能测试结果还反映出该方案具有较好的数据访问性能。
