31 results about "Open stack" patented technology

The invention discloses a SaaS (Software as a Service) platform based on cloud computing. The platform comprises a cloud platform control end, preset software examples, at least one user, a service layer, a facility layer and a storage layer, the service layer is used for facing the users, receiving requests of the users and feeding back information to the users, the facility layer is connected with the service layer and used for receiving requests of the service layer and opening the software examples according to the requests, and the storage layer is connected with the facility layer and used for storing data mirroring generated when the software examples are used by the users. The platform has the advantages that the high-maturity SaaS platform based on Open Stack simultaneously supports a PC (personal computer) and various mobile terminals and is high in expandability, safe, reliable and low in cost, by the aid of the platform, the users can seamlessly use services of the software examples only through web pages without contacting with the software examples, software cracking is fundamentally prevented, and fairness of a software industry is maintained.

The embodiment of the invention provides a call stack analyzing and processing method and device. The method comprises the following steps: searching layer by layer according to a preset byte number, judging if the search value of a current position is a valid return address value, if yes, then obtaining the valid return address value and the stack pointer of the current position; obtaining the size of the open stack and the storage offset of the valid return address value in the layer; connecting each valid return address value in series according to the corresponding stack pointer and the size of the open stack and the storage offset in the layer, and obtaining a candidate call stack; and screening out an objective call stack from at least one candidate call stack according to a preset screening rule. According to the embodiment of the invention, a plurality of valid RA (return address) values are obtained, the valid RA values and the excitation functions of the valid RA values are judged, and then the valid RA values are connected in series to get at least one candidate call stack from which the objective call stack is screened out, so that a preferred call stack analysis result is obtained.

The invention provides a Power VM virtualized network management method and device based on Open Stack. The method comprises the following steps: acquiring original network information transmitted from a Power VM node managed by Open Stack through a first physical internet access, wherein the original network information comprises protocol information and identification; enabling the original network information to flow into a virtual integrated network bridge through a virtual secondary network card according to the identification; enabling the original network information to flow into a virtual tunnel network bridge through the virtual integrated network bridge according to preset flow table; carrying out protocol conversion on the original network information according to the protocol information and a preset protocol conversion package, and acquiring tunnel network information, and the protocol of the tunnel network information is a tunnel protocol; and enabling the tunnel network information to flow into a second physical internet access through the virtual tunnel network bridge, and enabling the tunnel network information to flow into an external tunnel network through the second physical internet access. By a mode of deploying a virtual machine, flowing-in and protocol conversion of a Power VM network are finished, and Power VM virtualized network management based on Open Stack is finished.

The embodiment of the invention provides a virtual machine migration method and device based on Open Stack. The method comprises the following steps: obtaining the first comprehensive utilization ratios of virtual machines according to the CPU utilization ratio, the memory utilization ratio and the magnetic disk utilization ratio of the virtual machines; adding the first virtual machines of which the first comprehensive utilization ratios are greater than the preset first threshold value into a migration queue; when the migration queue is not empty, determining first physical machines corresponding to the second virtual machines which are not added into the queue; obtaining the second comprehensive utilization ratios of the first physical machines according to the CPU utilization ratio, the memory utilization ratio and the magnetic disk utilization ratio of the second virtual machines; taking the virtual machine, with the minimal weight value, in all second physical machines, of which the second comprehensive utilization ratios are not greater than the preset second threshold value, in the first physical machines as the target virtual machine; migrating the first virtual machine positioned at the head of the queue in the migration queue to the target virtual machine. The comprehensive utilization ratio of the CPU utilization ratio, the memory utilization ratio and the magnetic disk utilization ratio is considered as the resource allocation index, so that the physical machines have higher resource utilization ratios.

The invention relates to the technical field of the Internet, in particular to a cloud resource management application system. The management application system adopts an open source cloud platform Open Stack as an IaaS infrastructure service layer of the platform. Cloud Foundry open source software serves as PaaS platform service layer deployment software of the platform, the cloud resource management application system comprises virtual machine management, server management and system management, and the virtual machine management function comprises a virtual machine resource monitoring module and a virtual machine resource allocation module. According to the invention, automatic management of cloud platform virtual machine resources is realized. On the basis of a manual resource management function of the virtual machine, automatic and efficient management of resources is researched and realized. According to the system, firstly, the load condition of the virtual machine is collected through resource monitoring, the collected load data is analyzed and judged, a proper resource adjustment strategy is formulated, and finally, automatic management of platform resources is realized.And stable and reliable operation of the cloud platform and applications in the cloud platform and efficient utilization of platform resources are ensured.

The invention relates to the field of computers, in particular to a cloud resource scheduling method of a data center integrated management system. A cloud resource scheduling platform based on the data center integrated management system is designed for deep research and analysis of the management and development technology of the cloud resource scheduling platform of the data center integrated management system, on the basis of basic management operation of an Open-Stack platform, a cloud resource scheduling function module is designed and developed, and by means of relevant tests, it is verified that the cloud resource scheduling platform of the data center integrated management system has certain advancement and application value on the aspects of resource management and resource migration.

The embodiment of the invention provides a cloud hard disk dynamic scheduling method and device for an Open Stack cloud platform and an electronic system, and the method comprises the steps: enablinga ceilometer module of the Open Stack cloud platform to communicate with a cloud host, and determining the real-time used capacity of a cloud hard disk mounted on the cloud host; When the real-time used capacity of the cloud hard disk is within a preset alarm range,starting the cloud hard disk; mounting A new cloud hard disk on a cloud host through a binder module of an Open Stack cloud platform or the mounted cloud hard disk is deleted to achieve dynamic scheduling of the cloud hard disk; the user experience is ensured; According to the method, the utilization rate of the cloud hard disk is improved, and meanwhile, different cloud hard disks can be distributed to different cloud hosts through the method, so that different requirements on the cloud hosts are met, the real-time performanceof management is ensured, an effective management and approach is provided for the operation of the cloud hosts, and meanwhile, the accuracy of resource information obtained by a monitoring system isensured.

The invention discloses an automatic access method of block storage in Open Stack cloud computing platform, which belongs to the field of cloud computing platform. When users request to add a local storage or network storage, the automatic access method of block storage in Open Stack cloud computing platform can automatically use a pre-installed virtual machine which is provided with a virtual machine image, and then according to the store address and parameter input by users, and the pre-installed Open Stack cloud computing environmental message which is needed accessing, the automatic access method can automatically configure storage service, then the storage service will be initiated automatically and the process of storing and accessing will be finished after configuring. The degree of difficulty and complexity of the automatic access method of block storage in Open Stack cloud computing platform is lower, thereby the probability of making configuration error during the process of storing and accessing can be decreased, the operation and maintenance work of the Open Stack cloud computing platform can be reduced and the automatic access method can have a better spreading application value.

A sequential decoding method and a decoding apparatus are provided. According to the method, an open stack is adopted for storing a plurality of paths. When the codeword generated by an internal decoder in the decoding apparatus is incorrect, a codeword is generated again by using the paths stored in the open stack. Accordingly, the complexity of decoding is reduced.

The invention discloses an integration method for a private cloud platform and Open Stack. The integration method comprises following steps: calling an application program interface of Open Stack when receiving a request sent to the private cloud platform; sending the request to a pre-set Open Stack API agent on the private cloud platform by API via Open Stack; and performing interface conversion via the private cloud platform and sending the request to the private cloud platform when the Open Stack API agent receives the request. The invention discloses an integration device for the private cloud platform and Open Stack. The integration device comprises a calling module, an agent module and an interface conversion module. The integration method and device for the private cloud platform and Open Stack have following beneficial effects: integration of the private cloud platform and Open Stack are realized; and due to the fact that a general interface is connected with web, standard unification is achieved so that other assemblies are conveniently compatible with the private cloud platform.

In order to facilitate secure and confidential electronic exchanges, systems and methods include establishing an electronic communication session based on participation levels controlled by a stack software object such that each invitee computing device associated with each invitee is prevented from accessing activities in the electronic communication session unless the invitee satisfies first predetermined parameters based on a locked stack participation level; an initiating computing device associated with the initiating user is enabled to access the electronic communication setting at a reserve level while each invitee computing device is prevented from accessing the activities in the electronic communication session unless the invitee satisfies second predetermined parameters based on an unlocked stack participation level; and the initiating computing device and each invitee computing device are enabled to access the activities in the electronic communication session based on an open stack participation level.

The invention provides a virtual network congestion abnormity processing method and system based on Open Stack. The method comprises the following steps of S1, deploying sFlow-RT on a control node andat least two calculating nodes in an Open Stack cloud platform, wherein the sFlow-RT is used to carry out network flow monitoring on the at least two calculating nodes to obtain flow monitoring data;S2, acquiring the network packet loss rate of each calculating node within preset time according to the flow monitoring data; and S3, according to the network packet loss rate and whether a physicallink is connected, determining whether the virtual network abnormity of the Open Stack cloud platform is caused by calculating node network congestion; and if the virtual network abnormity of the OpenStack cloud platform is caused by the calculating node network congestion, calling an OpenStack cloud platform management tool puppet to restart the calculating node service of network congestion.

The invention discloses a virtualization multi-purpose cloud service implementation structure and method based on an Open Stack. The structure comprises a service package manager which is used for generating a service package with a built-in service program and carrying out loading and deployment according to the terminal requirement; and a VMBase, which is a virtual machine with an operating system and without any service program, wherein the service package manager loads and deploys the service package and sends the service package to a terminal, and responses to the service request of the terminal. Compared with the prior art, the virtualization multi-purpose cloud service implementation structure and the method based on the Open Stack provided by the invention can realize flexible allocation and on-demand deployment of cloud services, and improve the equipment utilization of a virtualization server and reduce the energy consumption at the same time; and besides, the practicabilityis high, the scope of application is wide, and the popularization is easy.

The invention provides a network system load balancing detection method based on Open Stack, which creates a plurality of virtual machines in an internal network, adds the virtual machines into the same resource pool, selects a shared external network for the virtual machines, and connects each virtual machine with the external network through respective routing. Then, according to the requirements of the existing load balancing system, the virtual machine is set and the floating IP is assigned to the virtual machine. By configuring the request forwarding method for the resource pool, whetherthe load balancing function is normal is tested according to the connection number of each virtual machine. The invention is based on Open Stack, and the test developers of non-network modules can test the network load balancing function by themselves, saving the time to pre-test network functionality for testers and developers, so as to test and develop network development earlier. The efficiencyof testing and R & D is improved, the cost of testing and R & D is reduced.

The invention discloses a flow monitoring method for an Open Stack tenant network. The method comprises the following steps: detecting a flow in-out state of a first virtual machine by using a callback function; when it is detected that the virtual machine sends a first flow to a second virtual machine in the same host, matching a first data flow corresponding to the first flow by using a target flow table rule in the integrated network bridge, and sending the copied first data flow to a flow monitoring platform; and when it is detected that the first virtual machine sends a second flow to a third virtual machine in the remote host, matching a second data flow corresponding to the second flow by using the target flow table rule, and sending the copied second data flow to the physical network bridge so as to perform reflection learning on the copied second data flow by using the physical network bridge, obtaining a third data stream; and when the integrated network bridge receives the third data stream, sending the third data stream to the flow monitoring platform. Obviously, through the method, the flow interaction condition between the virtual machines can be monitored.

The invention provides a virtual machine policy management device based on open-stack. A user requirement is collected from a Horizon user interactive interface module, and the policy management device carries out policy processing on the user requirement, outputs a policy instruction matched with the user requirement to a Qemu virtual machine loading modul and guides a virtual machine to execute the policy instruction. By use of the virtual machine policy management device provided by the invention, the virtual machine in an operation state can be monitored in a real time manner on the premise of not intruding an open-stack primary cloud platform management system, so as to ensure the stability and security of the system. In particular, in view of network traffic of the virtual machine and an encryption requirement of storage objects, a cloud platform user can control the network traffic and whether to encrypt the storage objects or not, and a security requirement of the user is notified to the virtual machine in the real time manner, so that the virtual machine executes the user requirement in the real time manner. In addition, the invention further provides a policy management method achieved by use of the virtual machine policy management device.

The invention discloses an intelligent bag-change avoidance garbage can which comprises a can body, a fastening structure and a release driving structure, wherein the can body limits a garbage accommodating space and can load a plurality of open stack-up garbage bags; the fastening structure is mounted in the garbage accommodating space and is used for fastening the garbage bags; and the release driving structure is mounted in the garbage accommodating space and acts on the fastening structure to enable the fastening structure to release the garbage bag filled with garbage and on the topmost layer. The intelligent bag-change avoidance garbage can greatly improve the garbage bag changing efficiency to realize the time-saving and labor-saving effects.