CN113315812A - Agent-based trust management system in cloud environment - Google Patents

Agent-based trust management system in cloud environment Download PDF

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Publication number
CN113315812A
CN113315812A CN202110482730.XA CN202110482730A CN113315812A CN 113315812 A CN113315812 A CN 113315812A CN 202110482730 A CN202110482730 A CN 202110482730A CN 113315812 A CN113315812 A CN 113315812A
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agent
user
cloud
resource
trust
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谢晓兰
翟青海
张启明
刘亚荣
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Guilin University of Technology
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Guilin University of Technology
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/20—Network architectures or network communication protocols for network security for managing network security; network security policies in general
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network

Abstract

The invention discloses an Agent-based trust management system in a cloud environment, namely an Agent-based trust management framework, which comprises: the system comprises a user management Agent, a resource management Agent, a cloud resource community Agent, a trust management Agent and a state monitoring Agent. The cloud resource community agents are respectively responsible for interacting with users, managing all resources and cloud resource community agents, dividing communities according to attribute characteristics of cloud services, managing cloud service resources under the communities, storing interaction records of the services and the users, searching for appropriate cloud services to the users, broadcasting all the resources, recording state information of all the resources, and timely electing a new cloud resource community Agent to ensure the availability of the resources when the cloud resource community agents break down. Through the Agent-based trust management framework, the complexity of resource management can be reduced, and the satisfaction degree of a user in using cloud services is improved.

Description

Agent-based trust management system in cloud environment
Technical Field
The invention relates to the field of cross technology application of cloud computing, Agent and information security, in particular to an Agent-based trust management system.
Background
With the development of cloud computing, the demands of different users on cloud services are increasing, and it becomes more and more important to meet the demands of users on personalized quality in the face of various cloud services with different attributes. And due to the increase of the number of cloud services and the distributed and dynamic characteristics of resources in the cloud environment. Therefore, how to conveniently manage the interaction between the user and different resources and reduce the complexity of resource management and provide a suitable cloud service according to the user's needs is an important issue.
The Agent technology is an emerging technology developed along with the Internet, can better adapt to the characteristics of the Internet, and can effectively simplify the characteristics of autonomy, sociality, reactivity and motility of a distributed system. Therefore, the resource management model can be effectively constructed by applying the technology to the field of cloud computing. Aiming at providing service resources for users as required, a trust management mechanism is introduced to more effectively support users to select resources according to the trust relationship between the users and the resources.
According to the invention, different agents including a user management Agent, a resource community Agent, a trust management Agent and a state monitoring Agent are established to reduce the complexity of resource management, and a trust management method is combined with the service attribute and the individual preference of a user to select a proper service to improve the interaction efficiency among different resources.
Disclosure of Invention
In view of this, the present invention provides an Agent-based trust management system in a cloud environment, that is, an Agent-based trust management framework, where the trust management Agent framework includes the following 5 agents:
the user management Agent is used as an interface of a user to submit a request of the user to the system and respond to the user request according to the response of the system;
the resource management Agent manages all resources and resource community agents on a system level and communicates with the user agents at the same time;
the cloud resource community agents divide communities according to the attribute characteristics of different cloud services and set corresponding agents to manage the services in the communities;
the trust management Agent stores the interaction records of all the services and the user, and searches a proper cloud service for the user when the user submits the service requirement;
and the state monitoring Agent broadcasts signals to all resources at regular time and records the state information of all the resources and the agents, including whether the resources are abnormal or not, the use state information of the current service resources, the activity of the previous resources and the like. And when the cloud resource community Agent fails, selecting a new cloud resource community Agent in time.
Preferably, the user management Agent includes:
the login module is used for receiving a registration request of a user and registering registration information;
the system comprises a demand module, a resource management Agent and a resource management module, wherein the demand module is used for transmitting demand information of a user to the resource management Agent by the user management Agent when the user generates a demand;
the resource feedback module is used for feeding back the resource request result to the user;
and the trust feedback module is used for feeding back the evaluation of the user to the trust management Agent.
Preferably, the resource management Agent includes:
the communication module is used for communicating with all cloud resource community agents;
the resource feedback module is used for receiving a resource registration request of a resource provider, registering registration information and distributing the registration information to corresponding cloud resource communities according to the attribute characteristics of the resources;
and the change module is used for finishing initialization or revocation operation when the cloud resource community is changed.
Preferably, the cloud resource community Agent includes:
the information exchange module is used for exchanging information of other cloud resource communities;
the management module is used for managing the cloud resource community of the management module;
and the resource acquisition module is used for selecting and submitting resources according to the resource requirements submitted by the trust management Agent.
Preferably, the trust management Agent includes:
the storage scoring module is used for storing and maintaining interaction records of the cloud service and the user;
the trust calculation module is used for calculating a cloud service trust value in the relevant cloud resource community Agent according to the interaction record serving for the user, and the trust value calculation method comprises the following steps:
s1, calculating direct trust T of user i and service jstraightThe calculation method is as the formula (1):
Figure BDA0003049865120000021
wherein n is the interactive record length of the user i and the service j, and tkCredit score, TF (t), for user i to service jk) Scoring t for trustkThe calculation method of the time attenuation value of (2) is as follows:
Figure BDA0003049865120000022
wherein, timecFor the current calculation of timerFor recording trust value tkThe time of day.
S2, calculating the recommendation trust T of the user i and the service jrecommendThe calculation method is as the formula (3):
Figure BDA0003049865120000031
wherein m is the total length of the interaction records of the recommended user k and the service j, simikRepresenting the preference similarity of the current user i and the recommended user k, and the calculation mode is as the formula (4):
Figure BDA0003049865120000032
where y represents the number of attribute features of the cloud service and w represents the preference weight value of the user.
S3 calculating the comprehensive trust T of the user i and the service jcomThe calculation method is as the formula (5):
Tcom＝α*Tstraight+β*Trecommend (5)
α and β are weighting factors that are direct trust and recommended trust, respectively, and satisfy α + β ═ 1, and are calculated as in equation (6) and equation (7):
Figure BDA0003049865120000033
Figure BDA0003049865120000034
wherein lrecommendAnd lstraightRepresenting the number of scores for the recommended trust score and the direct trust score, respectively.
On obtaining a composite trust score TcomAnd then, according to a set threshold value, considering that the service with the comprehensive trust greater than the threshold value is a trusted service.
The service selection module is used for selecting a proper cloud resource community Agent to submit a resource request according to the demand preference of a user;
preferably, the status monitoring Agent includes:
and the state broadcasting module is used for broadcasting signals to all resources at regular time and recording the state information of all resources and agents, including whether the signals are abnormal or not, the use state information of the current service resources and the activity of the current resources.
And when the cloud resource community continuously receives the broadcast signal of the state monitoring Agent and does not respond, the cloud resource community Agent elects the module to broadcast all the resources in the cloud resource community and elects a resource node as a new cloud resource community Agent.
The invention has the following effects and advantages:
(1) by adopting the Agent-based trust management framework, the service management complexity and the calculation complexity during service acquisition can be effectively reduced;
(2) by adopting the trust management method, the cloud service safety quality can be effectively improved, and the user using satisfaction degree is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a diagram of an Agent-based trust management system in a cloud environment.
Fig. 2 is a flow chart of a user using a service.
In fig. 1, the components denoted by the respective reference numerals are as follows:
the system comprises a user management Agent1, a 11-trust feedback module, a 12-resource feedback module, a 13-demand module, a 14-login module, a 2-resource management Agent, a 21-change module, a 22-resource feedback module, a 23-communication module, a 3-trust management Agent, a 31-service selection module, a 32-trust calculation module, a 33-storage grading module, a 4-cloud resource community Agent, a 41-resource acquisition module, a 42-management module, a 43-information exchange module, a 5-state monitoring Agent, a 51-cloud resource community Agent election module and a 52-state broadcasting module.
Detailed Description
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Example (b):
referring to fig. 1, an embodiment of the present invention discloses an Agent-based trust management system in a cloud environment, that is, an Agent-based trust management framework, which includes the following five agents:
the user management Agent1, which is used as the user interface to submit the user's request to the system and respond to the user's request according to the system's response;
the resource management Agent2 manages all resources and resource community agents on the system level and communicates with user agents at the same time;
the trust management Agent3 stores the interaction records of all the services and the user, and searches for proper cloud service for the user when the user submits the service requirement;
the cloud resource community Agent4 is used for dividing communities according to the attribute characteristics of different cloud services and setting corresponding agents to manage the services in the communities;
and the state monitoring Agent5 is used for broadcasting signals to all resources at regular time and recording the state information of all resources and agents, including whether the resources are abnormal or not, the use state information of the current service resources and the activity of the current resources.
Specifically, the user management Agent1 includes:
the trust feedback module 11 is used for feeding back the evaluation of the user to the trust management Agent 3;
a resource feedback module 12, configured to feed back a resource request result to a user;
the requirement module 13 is used for transmitting the requirement information of the user to the resource management Agent by the user management Agent1 when the user generates the requirement;
a login module 14, configured to receive a registration request of a user and register registration information;
specifically, the resource management Agent2 includes:
and the changing module 21 is configured to complete initialization or revocation operations when the cloud resource community is changed.
The resource feedback module 22 is configured to receive a resource registration request of a resource provider, register registration information, and allocate the registration information to a corresponding cloud resource community according to attribute characteristics of resources;
the communication module 23 is used for communicating with all the cloud resource community agents 4;
specifically, the trust management Agent3 includes:
the service selection module 31 is used for selecting a proper cloud resource community Agent4 to submit a resource request according to the demand preference of a user;
the trust calculation module 32 is configured to calculate a cloud service trust value in the relevant cloud resource community Agent4 according to the interaction record serving the user, and the calculation steps are as follows:
s1, calculating direct trust T of user i and service jstraightThe calculation method is as the formula (1):
Figure BDA0003049865120000051
wherein n is the interactive record length of the user i and the service j, and tkCredit score, TF (t), for user i to service jk) Scoring t for trustkThe calculation method of the time attenuation value of (2) is as follows:
Figure BDA0003049865120000061
wherein, timecFor the current calculation of timerFor recording trust value tkThe time of day.
S2, calculating the recommendation trust T of the user i and the service jrecommendThe calculation method is as the formula (3):
Figure BDA0003049865120000062
wherein m is the total length of the interaction records of the recommended user k and the service j, simikRepresenting the preference similarity of the current user i and the recommended user k, and the calculation mode is as the formula (4):
Figure BDA0003049865120000063
wherein y represents the attribute feature quantity of the cloud service, and w represents the preference weight value of the user.
S3 calculating the comprehensive trust T of the user i and the service jcomThe calculation method is as the formula (5):
Tcom＝α*Tstraight+β*Trecommend (5)
α and β are weighting factors that are direct trust and recommended trust, respectively, and satisfy α + β ═ 1, and are calculated as in equation (6) and equation (7):
Figure BDA0003049865120000064
Figure BDA0003049865120000065
wherein lrecommendAnd lstraightRepresenting the number of recommended trust scores and direct trust scores, respectively.
On obtaining a composite trust score TcomAnd then, according to a set threshold value, considering that the service with the comprehensive trust greater than the threshold value is a trusted service.
The storage scoring module 33 is used for storing and maintaining interaction records of the cloud service and the user;
specifically, the cloud resource community Agent4 includes:
the resource acquisition module 41 is used for selecting and submitting resources according to the resource requirements submitted by the trust management Agent 3;
the management module 42 is used for managing the cloud resource community;
the information exchange module 43 is used for exchanging information of other cloud resource communities;
specifically, the state monitoring Agent5 includes:
when the cloud resource community Agent4 continuously receives the broadcast signal of the state monitoring Agent5 and does not respond, the cloud resource community Agent election module 51 broadcasts all resources under the cloud resource community Agent4 and elects a resource node as a new cloud resource community Agent 4.
The status broadcasting module 52 is configured to broadcast signals to all resources at regular time, and record status information of all resources and the cloud resource community Agent4, including whether the resource is abnormal, usage status information of the current service resource, and current resource activity.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (6)

1. An Agent-based trust management system in a cloud environment, namely an Agent-based trust management framework, is characterized by comprising:
the user management Agent (1) is used as a user interface to submit a user request to the system and respond to the user request according to the response of the system;
the resource management Agent (2) is used for managing all resources and the cloud resource community Agent (4) on the system level and communicating with the user Agent (1) at the same time;
the trust management Agent (3) is used for storing interaction records of all services and users, and searching proper cloud services for the users when the users submit service requirements;
the cloud resource community Agent (4) is used for dividing communities according to the attribute characteristics of different cloud services and setting a corresponding Agent to manage the services in the communities;
and the state monitoring Agent (5) broadcasts signals to all resources at regular time, records the state information of all resources and agents, including whether the state information is abnormal, the use state information of the current service resources and the activity of the previous resources, and timely selects a new cloud resource community Agent (4) when the cloud resource community Agent (4) breaks down.
2. The Agent-based trust management system in a cloud environment according to claim 1, wherein the user management Agent (1) further comprises:
the trust feedback module (11) is used for feeding back the evaluation of the user to the trust management Agent (3);
a resource feedback module (12) for feeding back the resource request result to the user;
the system comprises a demand module (13) and a resource management Agent (2), wherein the demand module is used for transmitting demand information of a user to the resource management Agent (1) when the user generates a demand;
and the login module (14) is used for receiving a registration request of a user and registering registration information.
3. An Agent-based trust management system in a cloud environment according to claim 1, wherein the resource management Agent (2) further comprises:
the change module (21) is used for completing initialization or revocation operation when the cloud resource community is changed;
the resource feedback module (22) is used for receiving a resource registration request of a resource provider, registering registration information and distributing the registration information to the corresponding cloud resource community Agent (4) according to the attribute characteristics of the resource;
and the communication module (23) is used for communicating with all the cloud resource community agents (4).
4. An Agent-based trust management system in a cloud environment according to claim 1, wherein the trust management Agent (3) further comprises:
the service selection module (31) is used for selecting a proper cloud resource community Agent (4) to submit a resource request according to the demand preference of a user;
the trust calculation module (32) is used for calculating the cloud service trust value in the related cloud resource community Agent (4) according to the interaction record serving the user, and the calculation steps are as follows:
s1, calculating direct trust T of user i and service jstraightThe calculation method is as the formula (1):
Figure FDA0003049865110000021
wherein n is the sum of users i andinteraction record length, t, for service jkCredit score, TF (t), for user i to service jk) Scoring t for trustkThe calculation method of the time attenuation value of (2) is as follows:
Figure FDA0003049865110000022
wherein, timecFor the current calculation of timerFor recording trust value tkThe time of day;
s2, calculating the recommendation trust T of the user i and the service jrecommendThe calculation method is as the formula (3):
Figure FDA0003049865110000023
wherein m is the total length of the interaction records of the recommended user k and the service j, simikRepresenting the preference similarity of the current user i and the recommended user k, and the calculation mode is as the formula (4):
Figure FDA0003049865110000024
y represents the attribute feature quantity of the cloud service, and w represents the preference weight value of the user;
s3 calculating the comprehensive trust T of the user i and the service jcomThe calculation method is as the formula (5):
Tcom＝α*Tstraight+β*Trecommend (5)
α and β are weighting factors that are direct trust and recommended trust, respectively, and satisfy α + β ═ 1, and are calculated as in equation (6) and equation (7):
Figure FDA0003049865110000025
Figure FDA0003049865110000031
wherein lrecommendAnd lstraightRespectively representing the scoring times of the recommended trust score and the direct trust score;
on obtaining a composite trust score TcomThen, according to a set threshold value, considering that the service with the comprehensive trust greater than the threshold value is a trusted service;
and the storage scoring module (33) is used for storing and maintaining the interaction records of the cloud service and the user.
5. The Agent-based trust management system in a cloud environment according to claim 1, wherein the cloud resource community Agent (4) further comprises:
the resource acquisition module (41) is used for selecting and submitting resources according to the resource requirements submitted by the trust management Agent (3);
the management module (42) is used for managing own cloud resource community resources;
and the information exchange module (43) is used for exchanging information of other cloud resource communities.
6. The Agent-based trust management system in a cloud environment according to claim 1, wherein the status monitoring Agent (5) further comprises:
the cloud resource community Agent election module (51) broadcasts all resources in the cloud resource community when the cloud resource community Agent (4) continuously receives the broadcast signal of the state monitoring Agent (5) and does not respond, and elects a resource node as a new cloud resource community Agent (4);
and the state broadcasting module (52) is used for broadcasting signals to all resources at regular time and recording the state information of all resources and agents, including whether the signals are abnormal or not, the use state information of the current service resources and the activity of the current resources.
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Application publication date: 20210827