Abstract: Embodiments relate to systems and methods for generating a selection of cloud data distribution service from alternative providers for staging data to host clouds. In aspects, a user can maintain a user premise network including servers, clients, local area networks, data stores, and/or other network assets. An administrator or other user of the premise network may wish to extract data from the premise network and transfer that data to host storage clouds to leverage cost, redundancy, consolidation, or other cloud advantages. A set of cloud data delivery (CDD) services can be established to stage the upload of the data payload to the set of destination host storage clouds. Uploads to the one or more intermediate CDD services can be made using a set of high-bandwidth managed or dedicated lines. The user can interrogate the set of alternative CDD services accessible to the premise network, and identify CDD services capable of staging the premise data to data stores in those intermediate services.

Abstract: A decision system for providing customized deployment architectures to users of a cloud computing environment. The decision system can identify one or more parameters for analyzing applications and processes running in a cloud, monitor the applications and processes executed in the cloud, and collect information such as usage of cloud resources, number and type of computing processes instantiated, software programs utilized by the computing processes. The decision system can then generate customized deployment architectures based on the collected information.

Abstract: Embodiments relate to systems and methods for instantiating and operating a virtual appliance monitor in a cloud. A network cloud environment can include a set of instantiated virtual appliances supported in the cloud. A cloud management system can control and organize the resource servers and other resources necessary to build the virtual appliances. In addition to the set of virtual appliances, the cloud management system can instantiate a virtual appliance monitor that communicates with the set of virtual appliances, to monitor their execution state, software complement, and other operational details. In implementations the virtual appliance monitor can be migrated from a physical on-premise platform. The virtual appliance store can store information related to the execution state of the virtual appliances to an off-cloud appliance data store. The instantiation and operation of the virtual appliance monitor can be metered for subscription-based usage charges.

Abstract: A decision system for providing ranked candidate cloud computing environments to customers for migration of subscribed services. The decision system can receive user usage history data and compare parameters of subscribed services on a host cloud to candidate clouds. Based on the comparison, a rank of candidate clouds for migration of the subscribed services can be determined and supplied to the customer.

Abstract: Embodiments relate to systems and methods for reclassifying a set of virtual machines in a cloud-based network. The systems and methods can analyze virtual machine data to determine performance metrics associated with the set of virtual machines, as well as target data to determine a set of target machines to which the set of virtual machines can be reassigned or reclassified. In embodiments, benefits of reassigning any of the set of virtual machines to any of the set of target virtual machines can be determined. Based on the benefits, the systems and methods can reassign or reclassify appropriate virtual machines to appropriate target virtual machines.

Abstract: A decision system for providing ranked candidate cloud computing environments to customers for migration of subscribed services. The decision system can receive user usage history data and compare parameters of subscribed services on a host cloud to candidate clouds. Based on the comparison, a rank of candidate clouds for migration of the subscribed services can be determined and supplied to the customer.

Abstract: Embodiments relate to systems and methods for brokering optimized resource supply costs in a host cloud-based network using predictive workloads. In aspects, a set of usage histories can store patterns for users in a host cloud-based network recording the consumption of processor, memory, storage, operating system, application, or other resources subscribed to by the user. The operator of the cloud management system hosting the workloads of one or more users can track the aggregate user histories reflecting those workloads, and analyze them in terms of different time periods over which demands for resources may intensity or relax. The cloud management system can examine those workload patterns, and generate a set of predictively re-assigned workloads to be supported by different sets of resource servers during offpeak and/or other periods.

Abstract: Embodiments relate to systems and methods for identifying usage histories and end users that may benefit from being redeployed to a new cloud-based network. In particular, a new cloud can receive usage histories corresponding to end user usage in a respective set of other pre-existing clouds. In embodiments, the new cloud can determine whether the new cloud provides sufficient resources to properly host each end user recorded in the usage histories. Further, the new cloud can determine whether there is a cost benefit or other advantage for a user to move to the new cloud. In embodiments, a deployment recommendation may be sent to an administrator of the cloud associated with the desirable usage history.

Abstract: Embodiments relate to systems and methods for identifying usage histories for producing optimized utilization in a cloud-based network. In particular, a target cloud can receive usage histories corresponding to end user usage in a respective set of other clouds. In embodiments, the target cloud can simulate an execution of the usage histories on resources in the target cloud to generate a set of utilization ratios. Further, the target cloud can determine a desirable usage history from the set of utilization ratios based on highly optimized resource usage within the target cloud. In embodiments, an administrator of the target cloud can provide a deployment recommendation to an administrator of the cloud associated with the desirable usage history.

Abstract: Embodiments relate to systems and methods for combinatorial optimization of multiple resources across a set of cloud-based networks. In aspects, a set of usage histories can store patterns for users in a host cloud-based network recording the consumption of processor, memory, storage, operating system, application, or other resources subscribed to by the user. The user can be a corporation or other collective user. A deployment engine can identify similar target resources available in a set of target clouds. The engine can receive selection criteria for selecting target clouds for a migration of the user's deployment. In the combinatorial selection, each target cloud can independently supply one or more target resources. The engine can thus identify a series of combinations of target resources and target clouds supplying those resources to discover combinations of target clouds and target resources that can satisfy or optimize the selection criteria, such as cost or others.

Abstract: Embodiments relate to systems and methods for identifying service dependencies in a cloud deployment. In particular, a deployment module can receive usage data from a host cloud comprising data related to end user operation of a set of services in the host cloud as well as service dependencies among the set of services. In embodiments, the deployment module can determine candidate target clouds in which to deploy the set of services. Further, in embodiments, the deployment module can determine whether the candidate target clouds have a capacity to support the set of services, as well as whether services within the candidate target clouds are compatible based on the service dependencies.

Abstract: Embodiments relate to systems and methods for migrating software modules into one or more target clouds. The systems and methods can analyze system data to determine software modules supported by the system, and target cloud data to determine which target clouds have a capacity to support a migration of the software modules. In embodiments, benefits of migrating any or all of the software modules to the target clouds can be determined. Based on the benefits, the software modules of the system can be segmented and migrated into systems associated with the multiple target clouds.

Abstract: Embodiments relate to systems and methods for the management of secure data in a cloud-based network. A secure data store can store sensitive or confidential data, such as account numbers, social security numbers, medical or other information in an on-premise data facility. Regulatory and/or operational requirements may prohibit the migration or unprotected transmission of the secure data to the cloud. An operator can instantiate a set of virtual machines to access and process the secure data, for example to process online purchase transactions. To prevent unauthorized disclosure of the secure data, the secure data store can receive data access requests via a translation module that translates the secure data. The secure data store can retrieve and transmit the secure data using a protection mechanism such as a masking and/or encryption mechanism, avoiding the unprotected transport or exposure of that data to the cloud.

Abstract: Embodiments relate to systems and methods for the management of secure data in a cloud-based network. A secure data store can store sensitive or confidential data, such as account numbers, social security numbers, medical or other information in an on-premise data facility. Regulatory and/or operational requirements may prohibit the migration or unprotected transmission of the secure data to the cloud. An operator can instantiate a set of virtual machines to access and process the secure data, for example to process online purchase transactions. To prevent unauthorized disclosure of the secure data, the secure data store can receive data access requests via a translation module that translates the secure data. The secure data store can retrieve and transmit the secure data using a protection mechanism such as a masking and/or encryption mechanism, avoiding the unprotected transport or exposure of that data to the cloud.

Abstract: Embodiments relate to systems and methods for managing multi-level service level agreements (SLAs) in cloud-based networks. A resource managing module can manage resources in the cloud-based networks in response to the detection of one or more triggering events. In embodiments, the triggering events can be changeovers in time periods, or meeting or exceeding thresholds associated with end user operation of the resources in the cloud-based networks. The multi-level SLAs can specify how to adjust the resources in the cloud-based networks in response to the detection of the triggering events. The resource managing module can adjust applicable resources in the cloud-based networks as specified by the multi-level SLAs.

Abstract: Embodiments relate to systems and methods for a cross-cloud vendor mapping service in a dynamic cloud marketplace. The cloud marketplace system receives bids from a user for the provisioning of applications or other software in the cloud, and registers selected provisioning clouds to deliver the requested software. The set of provisioning clouds can be re-selected on a scheduled and/or other ongoing basis, creating a sequence of provisioning clouds. A vendor mapping service can be abstracted and provided external to the cloud marketplace system, and track the user's software usage across the shifting sets of provisioning clouds. The vendor mapping service can aggregate the usage history over time, and generate billing and/or other subscription reports. The cloud marketplace system need only register the user ID, software applications, and/or other subscription data to the vendor mapping service one time, after which the service can track the user's software usage history automatically.

Abstract: A decision system and methods for providing customized deployment architectures that take into account the importance of various cloud resources. The decision system can monitor the applications and processes executed in the cloud, and collect utilization information identifying the cloud resources used, the amount of usage, and trends in usage. Resource importance data can then be obtained from the utilization information and/or from other sources, such as a system user. The decision system can then generate customized deployment architectures based on the collected utilization information and the resource importance data.

Abstract: Embodiments relate to systems and methods for the delivery of user-controlled resources in cloud environments via a resource specification language wrapper. In embodiments, the user of a client machine may wish to contribute resources from that machine to a cloud-based network via a network connection over a limited or defined period. To expose the user-controlled resources to one or more clouds for use the user may transmit a contribution request encoding the user-controlled resources in a specification language wrapper, such as an XML (extensible markup language) wrapper. The specification language wrapper can embed the set of user-controlled resources, such as processor time, memory, and/or other resources, in an XML or other format to transmit to a marketplace engine which can place the set of user-controlled resources into a resource pool, for selection by marketplace clouds. The specification language wrapper can indicate access controls or restrictions on the contributed resources.

Abstract: Embodiments relate to systems and methods for exporting usage history data as input to a management platform of a target cloud-based network. A usage export service can be abstracted and provided external to a host cloud-based network, which can capture the usage history of software or resources by one or more users in the host cloud-based network. Those user(s) or others may wish to export some or all of the usage history to a target cloud or clouds, to perform management or configuration actions in the target cloud(s). The selective subset of the usage history can be transmitted to the cloud management system of the target cloud-based network. The selective subset can be used for management actions in the target cloud(s), such as for instance, to instantiate or configure a set of virtual machines for failover or re-clouding purposes, or to aggregate usage history from the host and target cloud(s).

Abstract: A compatibility service can determine the compatibility of different software programs provide by different vendors in a cloud. The compatibility service can identify the software programs provided by different vendors in the cloud and which of the identified software programs are compatible. The compatibility service can generate and store a record of the compatible software programs and provide identification, tracking, and mapping services based on the record.