41 results about "Saas software" patented technology

The invention discloses a block chain-based online taxi-hailing service system. The system includes a traffic cloud database, a traffic cloud artificial intelligence system (TAI) and a mobile client. With the block chain-based online taxi-hailing service system adopted, a decentralized, trustless, collectively maintained, asymmetric cryptography reliable database basic infrastructure and underlying internet protocol can be provided for traffic cloud; and a mobile SaaS (Software-as-a-Service) application pattern, a distributed computing normal form and a group intelligence model which can establish high-degree connections for travelers based on time stamp, achieve travel resource allocation consensuses and provide services according to demands can be realized.

The invention relates to a software-as-a-service (SaaS) application generation and deployment supporting method and an SaaS application generation and deployment supporting device, which aim to solve the problems of the conventional SaaS software generation and release. The method comprises the following steps that: A, an independent software vendor obtains a development license of an SaaS application generation and deployment device by registration to become an official development user; B, the independent software vendor downloads a generation and testing tool kit by an independent software vendor (ISV) portlet, and integrates the tool kit into a local generation environment to make the local generation environment become an SaaS application description generation device for rapidly generating SaaS application; C, the independent software vendor performs application generation by utilizing the SaaS application description generation device, and uploads the description of the application into an SaaS application deployment device; D, the SaaS application deployment device adds bottom-layer realization to the application generated by the ISV to deploy the application into the SaaS application supporting multiple tenants and personalized customization; and E, the tenants try on, rent and customize the SaaS application.

The invention discloses a threshold and key-based authorization method in software as a service (SaaS), which is a solution of data security in application of enhancement software as a service (SaaS). The authorization method is mainly used for providing objective security insurance for an SaaS user from technical means so as to solve the problems in protecting data security of SaaS enterprise users. By using the authorization method provided by the invention, a very good method can be naturally provided for solving SaaS security problems. The authorization method is a strategic method, and in the method, keys are divided and an SaaS client masters part of the keys so that an SaaS software provider and an SaaS operator cannot perform certain advanced data operation without the participation of the SaaS client. The authorization method aims to convert key authentication of the client into client authorization, thereby improving security information of the user, and increasing the safety insurance.

A scalable infrastructure containing multiple computer devices may be used for executing a Software-as-a-Service (SaaS) software application. The multiple computer devices of the infrastructure may be divided into several collections of computer devices. Each collection of computer devices is used to execute a different version of the SaaS software application (e.g., a “legacy” version, a “stable” version, and a new “development” version). Different user accounts belonging to a customer organization can then each use one of these SaaS software versions, with requests from each user account being interpreted and routed by an input management module of the infrastructure to the appropriate computer set that executes the appropriate SaaS software version. The appropriate computer set then provides the SaaS service to a user computer device or web server that serves the user account. The SaaS software version used by the user account can be upgraded by the user account.

The invention discloses an establishment method of a SaaS software deployment scheme supporting performance analysis. A deployment environment, a deployment object, a deployment plan and deployment constraints are defined; the deployment environment describes hardware nodes and the resource supply situation which can be provided by a physical environment, including communication capability of virtual machines; the deployment object describes SaaS software to be deployed, the resource demand of the software and service call information in the SaaS software, including basic services and composite services; the deployment plan describes the deployment situations and configuration parameters of the services in the SaaS software on the hardware nodes and comprises multiple deployment units, wherein each deployment unit consists of one virtual machine embodiment and multiple basic service embodiments. The deployment constraints describe various limiting conditions the deployment plan should abide by due to the demands for service technologies, reliability, safety, high efficiency and the like. The establishment method is applicable to the dynamic changing deployment environment and provides necessary information for performance analysis of the SaaS software.

The invention discloses an operation system of intelligent gymnasium service management, which mainly comprises a basic SAAS management system, Material Connection Hardware, Marketing Customer Software Platform, The Block Chain Flow Platform is also known as the Gym Flow Platform Module (based on Block Chain Technology) and the Cooperative Gym Management System Module, The SAAS Management System module is directly linked to the Internet to access SAAS software services, This SAAS management system module combines financial settlement, Fitness equipment management and gymnasium basic managementbusiness, financial settlement includes salary payment and personnel performance wage management two modes, fitness equipment management includes swimming pool management and other fitness equipmentmanagement fields, gymnasium basic management includes member system, private education system, operation system platform and daily software updating and maintenance. The operation system platform helps the gymnasium to reduce the promotion cost and achieve more convenient enjoyment, diversification and personalized service, bringing new revenue sources for the cooperative gymnasium.

The invention relates to a charging method of SaaS (software as a service) software, which is characterized in that: software charge category, a pricing factor and charging strategy are preferentially configured, and charging setting is carried out; the attribute relevant to the charging is typed-in according to the source of charges; and then the charge type is calculated according to the input value configuration and the charge is calculated, and finally, the charge calculating result is displayed; therefore, only the relevant charge category, the pricing factor and the charging strategy are needed to be configured, and individual development is not needed aiming at the charge mode of the soft ware; meanwhile, the charge mode and rules for the same software are needed to be changed, and only the corresponding rules are needed to be modified; besides, immediate effect of immediate charge can be realized; more importantly, by combining simple soft charge configuration, a nonprofessional person can carry out the procedures easily, therefore, the soft maintaining cost is reduced.

The invention discloses an intelligent marketing management system and method based on a VR / AR mobile mall. The system comprises an intelligent business card module, an AI assistant module, a BOSS housekeeper module, an intelligent finance and taxation SaaS software system and a VR / AR mall module, the intelligent business card module depends on the AI technology, and the functions of an electronicbusiness card are combined with small programs; the AI assistant module comprises a visitor management unit, a real-time communication unit, a customer tracking unit, a customer portrait unit, a transaction prediction unit and a similar resource matching and integrating unit; the BOSS housekeeper module comprises an employee management unit, a customer management unit and a data precipitation unit; the intelligent finance and taxation SaaS software system is used for realizing automatic and continuous account establishment, is provided with an inventory module, and automatically generates a tax statement and tax risk intelligent early warning; according to the invention, a full-flow intelligent marketing system with highly integrated resources is constructed by switching in intelligent business cards, so that the productivity is greatly liberated, the marketing cost is reduced, the flexibility and portability are improved, and the enterprise operation management is efficient.

The invention discloses a method for deploying SaaS software in a cloud environment. The method comprises the following steps of obtaining a lease of at least one lessee to the SaaS software; according to the lease, determining information of the SaaS software needed to be deployed; according to a leased infrastructure status, determining leasable virtual machine information; according to the SaaS software information and the virtual machine information, determining a deployment scheme, wherein the deployment scheme contains SaaS software instance quantities of all types, virtual machine instance quantities of all types, corresponding relationships between lessees and SaaS software instances, and corresponding relationships between the SaaS software instances and virtual machine instances, and the total lease cost of virtual machines corresponding to the deployment scheme is minimal; and performing SaaS software deployment according to the deployment scheme. By applying the technical scheme provided by the method, the lease cost of an SaaS service provider can be reduced and the resource utilization rate can be increased. The invention furthermore discloses an apparatus for deploying the SaaS software in the cloud environment. The apparatus has the corresponding technical effects.

The invention discloses a method for constructing a test use case of software-as-a-service (SaaS) software based on a durable X-machine (DXM) calculation model. The method comprises the following steps of: according to a software test requirement, constructing an input set of a function to be tested; constructing a set of all states of the function to be tested, namely a software function state set; determining an initial state set and an ending state set of the function to be tested; constructing state transfer sets of the state sets; and setting a path from any initial state to any ending state as one test use case, and storing all state change information from initial states to ending states by using a durable method when the states change. The method for constructing the test use case of the SaaS software based on the DXM calculation model has the advantages that: the completeness, availability and accuracy of the test use case are guaranteed; and due to the characteristic of high change of the SaaS software, the test use case which is constructed based on the DXM calculation model can quickly respond to the change.

The invention discloses an SaaS software fault diagnosis method based on a convolutional neural network. The method comprises the following steps: firstly, filtering log data generated by a system; then, subjecting the filtered log data to category classification and labeling; carrying out denoising processing on the log data subjected to category division and labeling; secondly, vectorizing the denoised log data by adopting a Skip-Gram method, and constructing a two-dimensional topological structure for the vectorized log data to form two-dimensional vector data of two dimensions, namely a word vector dimension and a word dimension; training a pre-constructed convolutional neural network model by taking the constructed two-dimensional vector data as training data to obtain a trained performance fault diagnosis model; and finally, diagnosing the log data of the unknown type by utilizing the trained performance fault diagnosis model to obtain the fault type of the log data. According tothe invention, the diagnosis accuracy and diagnosis efficiency of log data of unknown types are improved.

In order to meet the performance maintenance requirement of SaaS software. The invention discloses a SaaS software performance fault diagnosis method based on a GBDT decision tree in combination witha performance log. A monitoring means is adopted to obtain a performance log when the software system runs. The performance fault type of the performance log is marked by combining the analysis resultof the warning log. the performance logs are processed by using a same type mean value filling method and a combined SMOTE and pre-sampling method; complete and balanced performance log data can be provided. A GBDT algorithm in a machine learning method is used for analyzing performance logs, a performance fault diagnosis model is established, the performance logs generated by a system in real time are input into the established diagnosis model, an output corresponding performance fault type is obtained, and therefore the performance state of the SaaS software in the running process is diagnosed. Besides, the real-time performance log and the diagnosis result can be saved, the diagnosis model can be updated every a period of time, the real-time performance of the diagnosis model is guaranteed, and the accuracy of the diagnosis result is further guaranteed.

The invention discloses a method for deploying SaaS software in a cloud environment. The method comprises the following steps of obtaining a lease of at least one lessee to the SaaS software; according to the lease, determining information of the SaaS software needed to be deployed; according to an infrastructure status, determining available virtual machine information; according to the SaaS software information and the virtual machine information, determining a deployment scheme, wherein when all leases can be met, a virtual machine instance quantity corresponding to the deployment scheme is minimal, and when part of the leases only can be met, a satiable lease quantity corresponding to the deployment scheme is maximal; and performing SaaS software deployment according to the deployment scheme. By applying the technical scheme provided by the method, the resource utilization rate can be increased. The invention furthermore discloses an apparatus for deploying the SaaS software in the cloud environment. The apparatus has the corresponding technical effects.

The invention discloses a rule engine architecture method based on SOA and distributed deployment, and belongs to the technical field of business management. The method comprises three structural layers, namely a presentation layer, a service layer and a persistence layer, and a mapping structure model with enterprise cluster industrial internet PaaS platform service, SaaS software service and IaaS facility service. And interface integration, interface integration, process integration, data integration and platform integration at the front end and the rear end are carried out by utilizing a data middle station, a technology middle station and a service middle station. According to the architecture method of the rule engine based on the SOA and the distributed deployment, an industrial cluster full-business service-oriented industrial internet platform is set, a micro-service architecture and the distributed deployment are adopted, transverse expansion of the platform is supported, an open, cooperative and shared service platform is built through a mode of internet + industrial collaboration. And the optimization suggestions and implementation schemes are fed back to the enterprise, so that the enterprise is promoted to realize equipment interconnection, business collaboration and intelligent analysis, and the benefit improvement of the enterprise is facilitated.

The invention relates to an interface method suitable for Software as a Service (SaaS) software, which is characterized by comprising the following steps of: firstly, coding messages related to the SaaS software in a uniform message format; secondly, deserializing the messages by means of a uniform interface processing logic to form specific internal message objects; next, calling different operation processing logics to process the message objects so that the external release forms of the messages are unrelated to the specific processing logics of the messages; then fully decoupling the external release forms of the messages from the specific processing logics of the messages in a factory pattern; and finally, when a new external interface interaction way is needed to be added, adding a logic of obtaining the messages associated with the interaction way, thereby establishing an interface. In this way, through the design and establishment of a uniform message standard, the external interface of a SaaS software access component can be standardized so that lots of operations can be all processed by means of the same interface; and for an independent software provider, the technical difficulty is reduced and the release workload is also reduced.

The invention discloses an SaaS software shop system and an implementation method thereof, aims at solving the problems that frequent login is conducted in the process of using multiple different SaaSsoftware, and screening, comparing and purchasing of related SaaS software services are difficult, and belongs to the technical field of SaaS. The software shop system comprises a shop client, a shopbackground server and N SaaS servers; the N SaaS servers establish connection with the shop client separately, the shop background server establishes connection with the shop client, and the N SaaS servers establish connection with the shop background server separately; and corresponding SaaS software is stored in each SaaS server. According to the SaaS software shop system, more selectable schemes are provided for service requirements of a user; and the competition relation of different SaaS service providers is promoted, and the SaaS service providers can push out better products and more humanized services.

The invention provides a whole-city intelligent parking comprehensive service SaaS management system. The whole-city intelligent parking comprehensive service SaaS management system comprises a hardware layer, a data support layer and a SaaS software service layer. The hardware layer comprises one or combination of more of a parking space sensor, a video device, an inspection vehicle device, an intelligent ground lock device and a barrier gate device. The data support layer comprises a standardized parking device unified access development platform and a distributed cloud storage unit. The SaaS software service layer comprises a road operation subsystem, a field library management subsystem, a parking guidance subsystem, a shared parking subsystem, a parking operation and maintenance subsystem, an operation analysis subsystem; a financial management subsystem, a parking marketing subsystem, and a merchant management subsystem. According to the whole-city intelligent parking comprehensive service SaaS management system, unified management of parking is realized.

The invention belongs to the field of software technology, and discloses an SaaS (Service as a Software)-multi-tenant-oriented multi-layer model and a construction method thereof. SaaS software is divided into seven different layers in a top-down manner according to an SaaS software maturity degree model and different granularity, and multi-tenant, saleable and configurable characteristics of theSaaS software are reflected. Color sets of colored Petri nets (CPN) can represent different tenant requests, object-oriented Petri reflects encapsulation of services, and is invisible to outsides, andinternal details influence system running. Ideas of the colored Petri nets and object-oriented Petri nets (OOPN) are respectively used for reference to extend the Petri nets, and a CSOP(Colored Service-Oriented Petri Nets) and SOP (Service-Oriented Petri Nets) system is provided. The model provides a formalized tool for modeling of the SaaS software. The formalized model provided by the inventioncan be run in a tool of the colored Petri nets, and thus can simulate running of the SaaS software, and analyze hidden troubles existing in system running.

The invention relates to the field of cloud computing, and particularly to a data read-write method for realizing an SaaS service mode. Data reading for the method comprises the steps of: (1) logging in; (2) acquiring the enterprise number information of the current login user, the server IP for the sub database corresponding to the current user, and the information of connection string for accessing the database; (3) performing data interaction directly by the user with the enterprise sub database; data writing comprises the steps of: (1) logging in to acquire the right to write data; (2) then, adding a piece of user data in the sub database at first, and inserting the data into the public database at the same time if it is successfully added. The method enables the data read-write application to be faster, safer and more stable in SaaS software. The method can be applied for data read-write in the SaaS service mode.

The invention discloses a method for isolating SaaS software tenant data. The method is characterized in that each tenant has a unique naming space, different tenants achieve physical isolation of data by creating different database instances and label databases with the naming spaces of the tenants for distinguishing, and tenant information and the naming spaces can be maintained in a unified mode through a platform database. According to the method, physical isolation between tenant data is realized, and the data security is improved substantially; backup and clearing of tenant data are convenient, the integrity of the data is guaranteed, and no junk data exists; data of all tenants are separated, and the data processing efficiency is high.

The invention provides a user request processing method and device, electronic equipment and a storage medium, which are applied to a client for deploying software, namely service SaaS software. The method comprises the following steps: when a user request is obtained, matching a destination address of the user request with an obtained intranet access rule; when matching succeeds, authentication information corresponding to a user sending the user request is obtained, and the obtained authentication information and the user request are sent to an authentication server, so that the server forwards the user request to an intranet when authentication is successful by using the authentication information; and when the matching is unsuccessful, forwarding the user request to an external network. According to the method, the service is accessed through the intranet on the premise of ensuring data safety and low cost.

The invention provides an SaaS software customization demand assembly method based on a black box technology, which is characterized by comprising the following steps: carrying out personalized demandfunction development based on scaffold engineering, and carrying out packaging deployment to construct a personalized framework; acquiring historical personalized information of a target tenant, anddistinguishing the tenant category of the target tenant based on a personalized tenant distinguishing model; acquiring a current personalized demand of the target tenant, performing first configuration based on the constructed personalized framework, and performing second configuration based on the tenant category, thereby realizing customized configuration; screening configuration nodes related to customized configuration in the personalized framework; analyzing the node information of the configuration node and the configuration information of the customized configuration by the SaaS software based on the black box technology, and dynamically assembling an analysis result into a standard framework to realize customized demand assembly. By setting an independent personalized framework, dynamic loading is carried out, waste of server resources is effectively reduced, and the software updating efficiency can be effectively improved.

The invention discloses a threshold and key-based authorization method in software as a service (SaaS), which is a solution of data security in application of enhancement software as a service (SaaS). The authorization method is mainly used for providing objective security insurance for an SaaS user from technical means so as to solve the problems in protecting data security of SaaS enterprise users. By using the authorization method provided by the invention, a very good method can be naturally provided for solving SaaS security problems. The authorization method is a strategic method, and in the method, keys are divided and an SaaS client masters part of the keys so that an SaaS software provider and an SaaS operator cannot perform certain advanced data operation without the participation of the SaaS client. The authorization method aims to convert key authentication of the client into client authorization, thereby improving security information of the user, and increasing the safety insurance.

The invention relates to a data management method, in particular to a software-as-a-service (SaaS) software data model realization method. The SaaS software data model realization method is based on the sharing mode of a shared database, and comprises the following steps of: 1, metadata definition, namely, dividing metadata into two types consisting of a data dictionary and spatial data, and identifying the metadata by using a field in a database table; 2, generation of a basic space, namely, collecting universal data to form the basic space; 3, generation of each new space, namely, filling the basic data of each new space, copying data from the basic space into a current space and simultaneously sharing the data of the data dictionary; and 4, cross-space use of a single user, namely, registering each user into at least one space, accessing all registered spaces after the login of the user, and judging the identification field of the spatial data to enable the user to view current spatial data.

The invention discloses a SaaS software mall system and an implementation method thereof. The system and the method solve problems of frequent login in a process of using a plurality of different SaaSsoftware, and difficult related SaaS software service screening, comparison and purchasing. The invention belongs to the technical field of SaaS. The software mall system includes mall clients, a mall background server, and N SaaS servers. The method comprises: respectively establishing connection of the N SaaS servers and the mall clients, establishing connection of the mall background server and the mall clients, respectively establishing connection of the N SaaS servers and the mall background server; and storing corresponding SaaS software in each SaaS server. The system and the method provide more selectable schemes for business demands of users, promote competition relations of different SaaS service providers, and are beneficial for the SaaS service providers to launch better products and more humanized service, and have wide market prospect.

The invention relates to a software-as-a-service (SaaS) application generation and deployment supporting method and an SaaS application generation and deployment supporting device, which aim to solve the problems of the conventional SaaS software generation and release. The method comprises the following steps that: A, an independent software vendor obtains a development license of an SaaS application generation and deployment device by registration to become an official development user; B, the independent software vendor downloads a generation and testing tool kit by an independent software vendor (ISV) portlet, and integrates the tool kit into a local generation environment to make the local generation environment become an SaaS application description generation device for rapidly generating SaaS application; C, the independent software vendor performs application generation by utilizing the SaaS application description generation device, and uploads the description of the application into an SaaS application deployment device; D, the SaaS application deployment device adds bottom-layer realization to the application generated by the ISV to deploy the application into the SaaS application supporting multiple tenants and personalized customization; and E, the tenants try on, rent and customize the SaaS application.

In order to meet the performance maintenance requirement of SaaS software. The invention discloses a SaaS software performance fault diagnosis method based on a GBDT decision tree in combination witha performance log. A monitoring means is adopted to obtain a performance log when the software system runs. The performance fault type of the performance log is marked by combining the analysis resultof the warning log. the performance logs are processed by using a same type mean value filling method and a combined SMOTE and pre-sampling method; complete and balanced performance log data can be provided. A GBDT algorithm in a machine learning method is used for analyzing performance logs, a performance fault diagnosis model is established, the performance logs generated by a system in real time are input into the established diagnosis model, an output corresponding performance fault type is obtained, and therefore the performance state of the SaaS software in the running process is diagnosed. Besides, the real-time performance log and the diagnosis result can be saved, the diagnosis model can be updated every a period of time, the real-time performance of the diagnosis model is guaranteed, and the accuracy of the diagnosis result is further guaranteed.

The invention discloses a host migration system. The data processing module is used for determining migration data of the source server and receiving a cloud address, which comprises the following steps: synchronizing Windows system data of a source server to a volume shadow copy address by utilizing a Vss volume shadow snapshot and an rsync copying tool to form first migration data; and / or forming second migration data from the Linux system data of the source server by utilizing an rsync copying tool; and transmitting the first migration data and / or the second migration data to the receivingcloud address. A data transmission mode between a source server and a receiving address is planned and designed; migration services are provided for all users in an SaaS software service form; the purpose that the user side can be migrated only by networking without deploying a migration system is achieved, so that the technical effect is achieved, and the problem that an offline operating systemhost can be migrated to the Tencent cloud only by third-party migration software which is not bound with a shared cloud manufacturer in an existing host migration system is solved.

The invention belongs to the technical field of software, and discloses a multi-layer SaaS multi-tenant-oriented model and a construction method thereof. According to the SaaS software maturity model, the SaaS software is divided into seven different levels from top to bottom according to different granularities. It reflects the multi-tenant, scalable, and configurable characteristics of SaaS software; the color set of the colored Petri net can represent the requests of different tenants, and the object-oriented Petri reflects the encapsulation of the service, which is invisible to the outside world, and internal details affect the system operation. Using the ideas of colored Petri nets and object-oriented Petri nets respectively, the Petri nets are extended, and CSOP and SOP net systems are proposed. The invention provides a formalized tool for the modeling of SaaS software; the formalized model proposed by the invention can run in the colored Petri net tool, so that the operation of the SaaS software can be simulated, and hidden dangers existing in system operation can be analyzed.