Abstract: Enabling remote debugging of virtual machines, in one aspect, may comprise attaching a debug virtual machine to a target virtual machine deployed in a virtualized environment. Interactions and/or access to the target virtual machine may be performed via the attached debug virtual machine. The debug virtual machine may be created and attached to the target virtual machine in response to receiving a request to debug the target machine, for example, from a remote user of the target virtual machine.

Abstract: A method, system and computer program product for selecting virtual machines to be migrated to a public cloud. The current resource usage for virtual machine instances running in the private cloud is determined. Furthermore, any scaling policies attached to the virtual machine instances running in the private cloud are obtained. Additional resource usages for any of the virtual machine instances with a scaling policy are computed for when these virtual machine instances are scaled out. A cost of running a virtual machine instance in the public cloud is then determined using its current resource usage as well as any additional resource usage if a scaling policy is attached to the virtual machine instance based on the cost for running virtual machine instances in a public cloud. If the cost is less than a threshold cost, then the virtual machine instance is selected to be migrated to the public cloud.

Abstract: A method, system and computer program product for selecting virtual machines to be migrated to a public cloud. The current resource usage for virtual machine instances running in the private cloud is determined. Furthermore, any scaling policies attached to the virtual machine instances running in the private cloud are obtained. Additional resource usages for any of the virtual machine instances with a scaling policy are computed for when these virtual machine instances are scaled out. A cost of running a virtual machine instance in the public cloud is then determined using its current resource usage as well as any additional resource usage if a scaling policy is attached to the virtual machine instance based on the cost for running virtual machine instances in a public cloud. If the cost is less than a threshold cost, then the virtual machine instance is selected to be migrated to the public cloud.

Abstract: A method, system and computer program product for optimizing runtime performance of an application workload. Network input/output (I/O) operations between virtual machines of a pattern of virtual machines servicing the application workload in a private cloud are measured over a period of time and depicted in a histogram. A score is generated for each virtual machine or group of virtual machines in the pattern of virtual machines based on which range in the ranges of I/O operations per seconds (IOPS) depicted in the histogram has the largest sample size and the number of virtual machines in the same pattern that are allowed to be in the public cloud. In this manner, the runtime performance of the application workload is improved by minimizing the network input/output communications between the two cloud environments by migrating those virtual machine(s) or group(s) of virtual machines with a score that exceeds a threshold value.

Abstract: A method, system and computer program product for optimizing runtime performance of an application workload. Network input/output (I/O) operations between virtual machines of a pattern of virtual machines servicing the application workload in a private cloud are measured over a period of time and depicted in a histogram. A score is generated for each virtual machine or group of virtual machines in the pattern of virtual machines based on which range in the ranges of I/O operations per seconds (IOPS) depicted in the histogram has the largest sample size and the number of virtual machines in the same pattern that are allowed to be in the public cloud. In this manner, the runtime performance of the application workload is improved by minimizing the network input/output communications between the two cloud environments by migrating those virtual machine(s) or group(s) of virtual machines with a score that exceeds a threshold value.

Abstract: Enabling remote debugging of virtual machines, in one aspect, may comprise attaching a debug virtual machine to a target virtual machine deployed in a virtualized environment. Interactions and/or access to the target virtual machine may be performed via the attached debug virtual machine. The debug virtual machine may be created and attached to the target virtual machine in response to receiving a request to debug the target machine, for example, from a remote user of the target virtual machine.

Abstract: Enabling remote debugging of virtual machines, in one aspect, may comprise attaching a debug virtual machine to a target virtual machine deployed in a virtualized environment. Interactions and/or access to the target virtual machine may be performed via the attached debug virtual machine. The debug virtual machine may be created and attached to the target virtual machine in response to receiving a request to debug the target machine, for example, from a remote user of the target virtual machine.

Abstract: Enabling remote debugging of virtual machines, in one aspect, may comprise attaching a debug virtual machine to a target virtual machine deployed in a virtualized environment. Interactions and/or access to the target virtual machine may be performed via the attached debug virtual machine. The debug virtual machine may be created and attached to the target virtual machine in response to receiving a request to debug the target machine, for example, from a remote user of the target virtual machine.

Abstract: Data representative of a set of requests for cloud computing services is obtained. The services are to be provided by a cloud having a plurality of base images. The requests specify requested subsets of the base images. Data representative of provisioning and de-provisioning costs associated with the plurality of base images is obtained. Then, k composite virtual appliances are pre-provisioned. The composite virtual appliances include virtual appliance subsets of the base images, based on cost minimization, in accordance with the data representative of the set of requests and the data representative of the provisioning and de-provisioning costs.

Abstract: An automated disaster recovery (DR) planning system for a computing environment is provided. A discovery module discovers servers, networks, and storage devices in a computing environment. An expert knowledge base module captures best practices in planning, and capabilities, interoperability, limitation and boundary values for different DR technologies. A match-making module determines multiple DR plans as combinations of one or more replication technologies that can be used to satisfy DR requirements. And, an optimizer configured for assessing a feasible DR plan from said multiple DR plans, to deploy for DR planning of a primary computing environment.

Abstract: A Resource Management and Reservation System (RMRS) for managing and reserving storage bandwidth, is a platform independent middleware layer that provides an interface to applications, their database management systems, or some other higher level data management systems like ADRS which does data management on behalf of the applications. RMRS is highly relevant in hosted environments where one or more applications may be run on behalf of multiple customers each with a unique service level agreement with the Service Provider. Through its interface to the aforementioned applications, RMRS allows each application or an application side management system to communicate expected future storage access requirements (e.g., periodic access for backups). The interface also allows applications to request urgent storage access (e.g., recovery actions may be requested without being planned ahead of time).

Abstract: A policy for a computer system is transformed into a plurality of sub-policies, at least one synchronization step, and a final action. The sub-policies are distributed to corresponding sub-components in the computer system. The sub-policies are evaluated, wherein each sub-component evaluates its corresponding one or more sub-policies as other sub-components evaluate their corresponding one or more sub-policies. The sub-policies are synchronized by using the at least one synchronization step. The final action is performed in response to synchronizing the sub-policies. The computer system can be singular or distributed.

Abstract: A method and system for method for replicating object consisting of creating a group of objects at a first location; transmitting the group of objects from a first location to a second location over a network coupling the first location to the second location, such that the number of transmissions is minimized receiving the group of objects at the second location; and storing the group of objects at the second location. The objects are preferably data objects and are collated into group based on a probability score is computed for each data object centered on an access pattern. Advantages include minimizing the number of transmission of the group of objects thereby reducing network traffic and failure of operation during replication of the objects.

Abstract: Techniques for determining one or more disaster recovery (DR) service level agreements (SLAs) for each of one or more components of an application are provided. The techniques include identifying one or more components of an application, capturing one or more intra-application data dependencies between the one or more components, and mapping each of the one or more components to a DR profile to determine one or more DR SLAs for each of the one or more components of an application.

Abstract: An automated disaster recovery (DR) planning system for a computing environment is provided. A discovery module discovers servers, networks, and storage devices in a computing environment. An expert knowledge base module captures best practices in planning, and capabilities, interoperability, limitation and boundary values for different DR technologies. A match-making module determines multiple DR plans as combinations of one or more replication technologies that can be used to satisfy DR requirements. And, an optimizer configured for assessing a feasible DR plan from said multiple DR plans, to deploy for DR planning of a primary computing environment.

Abstract: A method and system for method for replicating object consisting of creating a group of objects at a first location; transmitting the group of objects from a first location to a second location over a network coupling the first location to the second location, such that the number of transmissions is minimized receiving the group of objects at the second location; and storing the group of objects at the second location. The objects are preferably data objects and are collated into group based on a probability score is computed for each data object centered on an access pattern. Advantages include minimizing the number of transmission of the group of objects thereby reducing network traffic and failure of operation during replication of the objects.

Abstract: A system and method for managing data resources includes a policy definition layer, a policy deployment layer and a policy execution layer. The policy definition layer provides for creating, editing and visualizing policies through a user interface using intuitive simple language constructs. The policy deployment layer converts the created policies into a relational format that can be directly stored in a policy database. The policy execution layer executes the deployed policies on occurrence of an event. A resource abstraction and notification layer provides the interfacing of the resources with the policy definition layer, policy deployment layer and the policy execution layer.

Abstract: A method for performing a data migration task on an on-line data storage system comprises computing a migration utility, which is a function of the expected time taken to complete the data migration task and generating migration requests for performing the data migration task, where the data migration task is divided into sub-tasks and a migration request is generated for each sub-task. Next determining a migration deadline for performing the data migration; assigning reward values to customer storage requests; assigning reward values to the migration requests.

Abstract: A policy for a computer system is transformed into a plurality of sub-policies, at least one synchronization step, and a final action. The sub-policies are distributed to corresponding sub-components in the computer system. The sub-policies are evaluated, wherein each sub-component evaluates its corresponding one or more sub-policies as other sub-components evaluate their corresponding one or more sub-policies. The sub-policies are synchronized by using the at least one synchronization step. The final action is performed in response to synchronizing the sub-policies. The computer system can be singular or distributed.

Abstract: A Resource Management and Reservation System (RMRS) for managing and reserving storage bandwidth, is a platform independent middleware layer that provides an interface to applications, their database management systems, or some other higher level data management systems like ADRS which does data management on behalf of the applications. RMRS is highly relevant in hosted environments where one or more applications may be run on behalf of multiple customers each with a unique service level agreement with the Service Provider. Through its interface to the aforementioned applications, RMRS allows each application or an application side management system to communicate expected future storage access requirements (e.g., periodic access for backups). The interface also allows applications to request urgent storage access (e.g., recovery actions may be requested without being planned ahead of time).