Abstract: The present application is directed to a distributed-services component of a distributed system that facilitates multi-cloud aggregation using a cloud-connector server and cloud-connector nodes that cooperate to provide services that are distributed across multiple clouds. These services include the transfer of virtual-machine containers, or workloads, between two different clouds and remote management interfaces.

Abstract: The present application is directed to a distributed-services component of a distributed system that facilitates multi-cloud aggregation using a cloud-connector server and cloud-connector nodes that cooperate to provide services that are distributed across multiple clouds. These services include the transfer of virtual-machine containers, or workloads, between two different clouds and remote management interfaces.

Abstract: The current document discloses methods and systems for extending an internal network within a source cloud-computing facility to a new target cloud-computing facility and redeploying a virtual machine or virtual application previously running on a target cloud-computing facility within the context of an extended internal network in the target cloud-computing facility.

Abstract: The current document discloses methods and systems for extending an internal network within a first cloud-computing facility to a second cloud-computing facility and deploying a virtual machine or virtual application previously running on a first cloud-computing facility within the context of the extended internal network in the second cloud-computing facility.

Abstract: The present solution is directed towards a policy-based intermediary that dynamically and flexibly injects content in responses between a client and a server based on one or more policies. The present solution addresses the challenges of injecting content in a client-server transaction. The intermediary determines when and what content to inject into a response of a client-server transaction based on a request and/or response policy. The injected content may include timestamp and/or variable tracking of different events in a client-server transaction. For example, when an intermediary appliance is deployed in a system to accelerate system performance and improve user experience, the appliance may inject content based on policy to monitor the acceleration performance of the deployed appliance.

Abstract: The current document discloses methods and systems for extending an internal network within a first cloud-computing facility to a second cloud-computing facility and deploying a virtual machine or virtual application previously running on a first cloud-computing facility within the context of the extended internal network in the second cloud-computing facility by internal-network extension and redeployment of virtual machines and virtual applications by a stretch-deploy operation, allowing the virtual machine or virtual application to resume execution on the second cloud-computing facility, using the computational and storage facilities of the second cloud-computing facility but depending on network support from the first cloud-computing facility. In addition, the current document discloses a snap operation that permanently relocates a stretch-deployed virtual machine or virtual application to the second cloud-computing facility.

Abstract: The current document discloses methods and systems for extending an internal network within a first cloud-computing facility to a second cloud-computing facility and deploying a virtual machine or virtual application previously running on a first cloud-computing facility within the context of the extended internal network in the second cloud-computing facility by internal-network extension and redeployment of virtual machines and virtual applications by a stretch-deploy operation, allowing the virtual machine or virtual application to resume execution on the second cloud-computing facility, using the computational and storage facilities of the second cloud-computing facility but depending on network support from the first cloud-computing facility. In addition, the current document discloses a snap operation that permanently relocates a stretch-deployed virtual machine or virtual application to the second cloud-computing facility.

Abstract: The current document discloses methods and systems for extending an internal network within a source cloud-computing facility to a new target cloud-computing facility and redeploying a virtual machine or virtual application previously running on a target cloud-computing facility within the context of an extended internal network in the target cloud-computing facility.

Abstract: The present solution is directed towards a policy-based intermediary that dynamically and flexibly injects content in responses between a client and a server based on one or more policies. The present solution addresses the challenges of injecting content in a client-server transaction. The intermediary determines when and what content to inject into a response of a client-server transaction based on a request and/or response policy. The injected content may include timestamp and/or variable tracking of different events in a client-server transaction. For example, when an intermediary appliance is deployed in a system to accelerate system performance and improve user experience, the appliance may inject content based on policy to monitor the acceleration performance of the deployed appliance.

Abstract: The present solution is directed towards a policy-based intermediary that dynamically and flexibly injects content in responses between a client and a server based on one or more policies. The present solution addresses the challenges of injecting content in a client-server transaction. The intermediary determines when and what content to inject into a response of a client-server transaction based on a request and/or response policy. The injected content may include timestamp and/or variable tracking of different events in a client-server transaction. For example, when an intermediary appliance is deployed in a system to accelerate system performance and improve user experience, the appliance may inject content based on policy to monitor the acceleration performance of the deployed appliance.

Abstract: A method for calculating computing resource use charges for a data center consumer entity is disclosed. The data center consumer entity accesses one or more of a plurality of computing resources in a data center. The method includes retrieving usage data of each of the plurality of computing resources. The usage data is retrieved for a selected period of use of each of the plurality of computing resources by the data center consumer entity. Each of the plurality of computing resources includes at least one of a CPU, a disk, a Network Interface Card (NIC), and a memory. The method further includes retrieving a rate plan data for the data center consumer entity and retrieving per unit charge, base rate, and rate factor for each of the plurality of computing resources. Further, a sum of a sum of multiplications of billed units of each of the plurality of computing resources by per unit charge, base rate, and rate factor is calculated. The billed units include one of actual used units or reserved units.

Abstract: The present solution is directed towards a policy-based intermediary that dynamically and flexibly injects content in responses between a client and a server based on one or more policies. The present solution addresses the challenges of injecting content in a client-server transaction. The intermediary determines when and what content to inject into a response of a client-server transaction based on a request and/or response policy. The injected content may include timestamp and/or variable tracking of different events in a client-server transaction. For example, when an intermediary appliance is deployed in a system to accelerate system performance and improve user experience, the appliance may inject content based on policy to monitor the acceleration performance of the deployed appliance.