CN103905543A - Cloud resource situation perception system structure - Google Patents
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- CN103905543A CN103905543A CN201410115181.2A CN201410115181A CN103905543A CN 103905543 A CN103905543 A CN 103905543A CN 201410115181 A CN201410115181 A CN 201410115181A CN 103905543 A CN103905543 A CN 103905543A
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Abstract
The invention discloses a cloud resource situation perception system structure. The cloud resource situation perception system structure comprises an IaaS layer, a PaaS layer and a SaaS layer. The IaaS layer comprises various units for directly providing situational information, and the situation information may come from hardware equipment or software services or people. The PaaS layer comprises a situation perception engine, a storage tank and a Collaboration Module. Situation information models, inference rules, configuration models and business service interfaces used by the situation perception engine are stored in the storage tank. The SaaS layer comprises various business services provided for users, wherein the business services can be Webservice or can also be entity services in real life. By means of the cloud resource situation perception system structure, cloud resources comprising calculating, storing, calling, inferring, safety, querying and other function modules at the service layer can be distributed according to needs.
Description
Technical field
The present invention relates to cloud computing and perception and calculate field.
Background technology
Under cloud computing environment, all resources and application program all will be incorporated into " cloud " end, each learner can utilize these resources and application program to create freely virtual community, build the collaborative virtual learning environment of oneself, study in coordination together with other learners with common learning objective.But (1) service disperses, be difficult to safeguard.The Decentralization of data, can cause repetition and the redundancy of data.(2) cannot realize the distribution according to need of resource.Because service relative is independent, and the demand of service has uncertainty, even there will be service response not in time with unequal phenomenon.(3) in most cases load is very low, has but wasted a large amount of electric energy.Therefore, need to find a kind of method of solution.At present, specifically there are following three kinds of solutions:
(1) common context aware framework has Gaia, ACAI, CAPpella, SOCAM, CASM, CASA, ACF and Jena etc.;
(2) framework based on many agencies, in the time that environment, task or situation change, task manager will carry out resource mapping and effectively use resource under the prerequisite without user intervention;
(3) multimedia application proposes CAPNET framework, and this framework comprises connection management, assembly management, service discovery, Message Processing, user interface and situation storage;
By analyzing, scheme (1) is mainly paid close attention to foundation and the reasoning of situational model, and framework is the account form based on the Internet not, does not consider to realize the distribution according to need of cloud resource and information; Scheme (2), in the time that environment, task or situation change, just can be carried out resource mapping and effectively use cloud resource under the prerequisite of user's manual intervention; (3) this framework comprises that connection management, assembly management, service discovery, Message Processing, user interface and situation storage organization seem too complicated, and cloud resource acquisition time delay is longer, and accuracy and efficiency is not high.These three kinds of schemes are failed the dynamic change of perception inside/outside portion environment, and along with this variation is carried out static adjustment and develops dynamically according to functional parameter, performance index or reliability index etc., so that system has high as far as possible user satisfaction.
Summary of the invention
The technical problem that the present invention mainly solves is to provide a kind of cloud resource context aware architecture.Provide the service level functional modules such as architecture by forming can comprise calculating for the distribution according to need that realizes cloud computing resources, stores, calls, reasoning, safety, inquiry.
A kind of cloud resource context aware architecture, comprising:
Infrastructure is service layer: comprise the various unit that contextual information is directly provided, the source of contextual information may be hardware device, software service, also people;
Platform is service layer: comprise context aware engine, thesaurus and Collaboration Modul.Thesaurus is preserved contextual information model, inference rule, allocation models and the business service interface that context aware engine uses;
Software is service layer: the miscellaneous service service providing to user is provided, and business service can be Web service, can be also real-life entity services;
Preferably, the platform in computing system level is that the context aware engine of service layer is that platform is the core of service layer, context aware engine by message reference interface, interrogator, inference engine, call controller and safe mass administrative unit forms.
Preferably, a kind of cloud resource context-aware services computation layer aggregated(particle) structure of context aware engine is by message reference interface shielding lower floor access environment, message reference interface upwards can be counted as a unified context data access interface, needs adaptive various contextual information source in different ways downwards.
Preferably, in a kind of context aware engine, the context aware architecture of situation ontologies extraction specific field is applied relevant contextual information and is generated corresponding situation ontologies model, and be kept in situation ontologies rule base, inference method based on body is defined as the relation between user's situation, situation and inference rule by ontology describing language attribute and the constraint incidence relation of body, body, realizes the reasoning to situation by the reasoning of body.
Preferably, the context aware System Framework in a kind of ontology rule storehouse is added the effective rule that meets situation in rule base to, and utilizes rough set theory and machine learning techniques update rule storehouse.
Preferably, a kind of context aware engine comprises the configuration module of the loose coupling relation for representing contextual information and business service.
Preferably, a kind of context aware engine comprises the cooperating and control module according to the situation the obtaining service entities required with the demand Autonomous determination of application and cooperation relation thereof for body.
The invention has the beneficial effects as follows: a kind of cloud resource of the present invention context aware architecture, the thought of system dynamic cooperation, effectively solve the effectively shared of high in the clouds resource and make full use of problem, the each layer of various resource providing are described and provide functional requirement to the foundation that creates high in the clouds resource environment, set up to facilitate between the cloud resource hierarchy form retrieved and the resource entity of subject highlighting and formed collaborative as required mechanism, reached the efficient activity of searching, assess, obtaining and use of cloud resource.
Accompanying drawing explanation
Fig. 1 is the functional block diagram of the main modular of a kind of cloud resource of the present invention context aware architecture;
Fig. 2 is the structural representation of the embodiment mono-of a kind of cloud resource of the present invention context aware architecture.
Embodiment
Below in conjunction with accompanying drawing, preferred embodiment of the present invention is described in detail, thereby so that the advantage of invention and feature can be easier to be it will be appreciated by those skilled in the art that, protection scope of the present invention is made to more explicit defining.
As shown in Figure 1, system or the architecture of cloud resource context aware architecture of the present invention comprise the functional modules such as firmware, middleware and assembly.In conjunction with the concrete technology that realizes, divide the realization of back-up environment into five aspects: the subscription of the operation of situation ontologies, the selection of service and access, situation issues, from main member and server access.
Refer to Fig. 2, the embodiment of the present invention comprises:
The reference that architecture of the present invention or system have provided cloud resource context aware environment by OSGi service platform realizes.Define the trusted function that three roles complete this PaaS: IaaS platform, context agency, application supplier.Wherein, IaaS platform provides universal memory context management management by methods subordinate computational resource, and before being allocated resources, context agency will and authenticate it with its negotiation; Context agency provide safe process context method for building up and the information interaction based on template, is the Agent that all types of user program safety enters virtual network.Jointly form the relation between supply and demand net of a bulky complex.
Hardware resource management module: hardware resource management module completes cluster management function on the basis of server OS.Its major function comprises:
Service request distribution function, the process concurrency management function based on Socket, cluster server increase, delete function, resources of virtual machine dynamic management module.
Resources of virtual machine dynamic management module according to the loading condition of virtual machine dynamically for virtual machine distributes different computational resources, and downwards and hardware resource management module communicate.Its major function comprises:
Virtual machine load monitoring module, computational resource allocation nucleus module, hardware resource management module communication interface, Virtual Machine Manager module.
Virtual Machine Manager module is safeguarded the essential information of virtual machine, manually designated virtual machine policy in resource management.Its function comprises:
Virtual machine adds.Virtual machine deletion, virtual machine are shared setting, virtual machine type management, the management of virtual machine basic resources allocation strategy, system load monitoring module.
System load monitoring module provides the load monitoring of system, for Dynamic Resource Allocation for Multimedia provides reference.Its function comprises:
System CPU occupancy rate is analyzed, Installed System Memory uses and analyzes, file system is used information analysis, task priority management.
Education cloud resource context aware architectural framework comprises that infrastructure is the (IaaS of service layer, infrastructure as a service), platform is the (PaaS of service layer, platform as a service), software is the (SaaS of service layer, software as a service) 3 parts, as shown in Figure 1.This framework provide one with the component base of field independence, the member that meets domain requirement by customization carrys out one of fast assembling and is responsible for the perception computing system that the computing environment of the formations such as equipment, situation, physical environment is managed, coordinated and dispatches.
1. infrastructure is service layer: comprise the various unit that contextual information is directly provided, the source of contextual information may be hardware device, and software service may be also people.IaaS provides hardware infrastructure deployment services, for user provides the resources such as entity or virtual calculating, storage and network as required.In the process that uses IaaS layer to serve, the configuration information that user need to provide infrastructures to IaaS layer service provider, runs on the program code of infrastructure and relevant user data.IaaS layer is educated cloud service for upper strata magnanimity hardware resource is provided.Meanwhile, under the support of Intel Virtualization Technology, IaaS layer can be realized the configuration as required of hardware resource, and personalized infrastructure services is provided.
2. platform is service layer: comprise context aware engine, thesaurus and cooperation and control module.Thesaurus is preserved contextual information model, inference rule, allocation models and the business service interface that context aware engine uses.Context aware engine by message reference interface, interrogator, inference engine, call the management of controller and safe mass and form, context aware engine is the core of PaaS layer.
Context aware engine: because the contextual information source of IaaS layer is widely different, use for ease of context aware engine, education cloud resource context-aware services System Framework is by facility information access interface shielding lower floor access environment.Message reference interface upwards can be counted as a unified context data access interface, needs adaptive various contextual information source in different ways downwards.Interrogator is obtained the value of contextual information according to the frequency acquisition recalls information access interface interface of contextual information, then value is passed to situation inference engine.The effect of message reference interface and interrogator is that specific implementation is shown in document for context aware engine obtains contextual information value.
Situation ontologies: context aware System Framework extraction specific field is applied relevant contextual information and generated corresponding situation ontologies model, and is kept in situation ontologies storehouse.Sight ontology model has been described the situation concept of specific field application, is the reflection of physical environment in perception framework, for situation reasoning provides direct Data Source.Inference method based on body is defined as the relation between user's situation, situation and inference rule by ontology describing language attribute and the constraint incidence relation of body, body, realizes the reasoning to situation by the reasoning of body.
Rule base: rule description is mainly used in the situation rule of definition for situation reasoning and service discovery.Context aware System Framework is added the effective rule that meets situation in rule base to, and utilizes rough set theory and machine learning techniques update rule storehouse.
Allocation models: by the loose coupling relation of allocation models mode visual representation contextual information and business service, be easy to reusing of contextual information between different context-aware services and business service; Set up the trigger-type that poll calls and call controlling mechanism, business service is called to control be reduced to contextual information value and inquire about with allocation models to the mapping of value, reduction context-aware services Executing Cost.
Cooperation and control: service entities and cooperation relation thereof that entity is required according to the demand Autonomous determination of the situation obtaining and application, form virtual execution environment, meanwhile, real in subscribing to the situation variation of each service entities in virtual execution environment, launch calling of service according to the demand of application.In the process of implementation, the variation that subscribed situation occurs will be passed to entity, and entity will carry out self adaptation adjustment or start new cooperating process according to corresponding rule, to realize dynamic evolution.
3. software is service layer: the miscellaneous service service providing to user is provided, and business service can be Web service, can be also real-life entity services, as mobile resources propelling movement, Intelligent campus service etc.
The invention has the beneficial effects as follows: a kind of cloud resource of the present invention context aware architecture, the thought of system dynamic cooperation, effectively solve the effectively shared of high in the clouds resource and make full use of problem, the each layer of various resource providing are described and provide functional requirement to the foundation that creates high in the clouds resource environment, set up to facilitate between the cloud resource hierarchy form retrieved and the resource entity of subject highlighting and formed collaborative as required mechanism, reached the efficient activity of searching, assess, obtaining and use of cloud resource
The foregoing is only embodiments of the invention; not thereby limit the scope of the claims of the present invention; every equivalent structure or conversion of equivalent flow process that utilizes specification of the present invention and accompanying drawing content to do; or be directly or indirectly used in other relevant technical fields, be all in like manner included in scope of patent protection of the present invention.
Claims (8)
1. a cloud resource context aware architecture, comprising:
Infrastructure is service layer: comprise the various unit that contextual information is directly provided, the source of contextual information may be hardware device, software service, also people;
Platform is service layer: comprise context aware engine, thesaurus and Collaboration Modu.
2. thesaurus is preserved contextual information model, inference rule, allocation models and the business service interface that context aware engine uses;
Software is service layer: the miscellaneous service service providing to user is provided, and business service can be Web service, can be also real-life entity services.
3. cloud resource context aware architecture according to claim 1, it is characterized in that: the platform in computing system level is that the context aware engine of service layer is that platform is the core of service layer, context aware engine by message reference interface, interrogator, inference engine, call controller and safe mass administrative unit forms.
4. cloud resource context aware architecture according to claim 2, it is characterized in that: a kind of cloud resource context-aware services computation layer aggregated(particle) structure of context aware engine is by message reference interface shielding lower floor access environment, message reference interface upwards can be counted as a unified context data access interface, needs adaptive various contextual information source in different ways downwards.
5. cloud resource context aware architecture according to claim 3, it is characterized in that: in a kind of context aware engine, the context aware architecture of situation ontologies extraction specific field is applied relevant contextual information and generated corresponding situation ontologies model, and be kept in situation ontologies rule base, inference method based on body is defined as the relation between user's situation, situation and inference rule by ontology describing language attribute and the constraint incidence relation of body, body, realizes the reasoning to situation by the reasoning of body.
6. cloud resource context aware architecture according to claim 4, it is characterized in that: the context aware System Framework in a kind of ontology rule storehouse is added the effective rule that meets situation in rule base to, and utilize rough set theory and machine learning techniques update rule storehouse.
7. cloud resource context aware architecture according to claim 3, is characterized in that: a kind of context aware engine comprises the configuration module of the loose coupling relation for representing contextual information and business service.
8. cloud resource context aware architecture according to claim 3, is characterized in that: a kind of context aware engine comprises the cooperating and control module according to the situation the obtaining service entities required with the demand Autonomous determination of application and cooperation relation thereof for body.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105897805A (en) * | 2015-01-04 | 2016-08-24 | 伊姆西公司 | Method and device for cross-layer scheduling of resources of data center with multi-layer architecture |
CN106921513A (en) * | 2015-12-28 | 2017-07-04 | 上海财经大学 | Service preparation method based on contextual information in a kind of mobile general calculation environment |
CN108269035A (en) * | 2016-12-30 | 2018-07-10 | 航天信息股份有限公司 | Silo intelligent management and system based on situational model |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103258027A (en) * | 2013-05-08 | 2013-08-21 | 南京邮电大学 | Context awareness service platform based on intelligent terminal |
CN103312797A (en) * | 2013-05-31 | 2013-09-18 | 苏州市职业大学 | Solid sensing dynamic coordination model establishment method based on cloud computing |
-
2014
- 2014-03-26 CN CN201410115181.2A patent/CN103905543A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103258027A (en) * | 2013-05-08 | 2013-08-21 | 南京邮电大学 | Context awareness service platform based on intelligent terminal |
CN103312797A (en) * | 2013-05-31 | 2013-09-18 | 苏州市职业大学 | Solid sensing dynamic coordination model establishment method based on cloud computing |
Non-Patent Citations (2)
Title |
---|
李庚洺,尹涛: "基于云计算的情景感知服务研究", 《中国科技论文在线:HTTP://WWW.PAPER.EDU.CN/RELEASEPAPER/CONTENT/201312-917》 * |
莫同等: "一种情境感知服务系统框架", 《计算机学报》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105897805A (en) * | 2015-01-04 | 2016-08-24 | 伊姆西公司 | Method and device for cross-layer scheduling of resources of data center with multi-layer architecture |
CN105897805B (en) * | 2015-01-04 | 2019-12-27 | 伊姆西公司 | Method and device for cross-layer scheduling of resources of data center with multi-layer architecture |
US10756979B2 (en) | 2015-01-04 | 2020-08-25 | EMC IP Holding Company LLC | Performing cross-layer orchestration of resources in data center having multi-layer architecture |
CN106921513A (en) * | 2015-12-28 | 2017-07-04 | 上海财经大学 | Service preparation method based on contextual information in a kind of mobile general calculation environment |
CN106921513B (en) * | 2015-12-28 | 2019-05-24 | 上海财经大学 | Service preparation method based on contextual information in a kind of mobile general calculation environment |
CN108269035A (en) * | 2016-12-30 | 2018-07-10 | 航天信息股份有限公司 | Silo intelligent management and system based on situational model |
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