Abstract: An appliance migration mechanism (AMM) optimizes migration of a live virtual appliance with virtual objects between cloud environments to minimize temporary connections that use significant cloud resources during the migration. The AMM determines a cost of connections of each virtual object in the virtual appliance and produces an order of migration for the virtual objects. The cost of connections of the virtual objects may be determined by the total number of connections and the maximum number of connections. Alternatively the cost of the connections of the virtual objects for migration could be determined by a weighting the costs of the connections where the weighting may consider loading or other factors on the connection.

Abstract: A method is provided for applying tasks. The method can include receiving a plurality of tasks for a plurality of applications, an application of the plurality of applications is hosted by a computing environment utilizing a monitoring agent, and a task is performed for an operation of the application during a first period of time. The method can also include determining a first resource type and a first resource amount from the computing environment for performing the task. The method can also include grouping the plurality of tasks into a set of tasks based on the first resource type, at least two tasks from the set of tasks being performable in parallel during the first period of time. The method can also include determining whether the first resource amount of the first resource type is present in the computing environment during the first period of time.

Abstract: An appliance migration mechanism (AMM) optimizes migration of a live virtual appliance with virtual objects between cloud environments to minimize temporary connections that use significant cloud resources during the migration. The AMM determines a cost of connections of each virtual object in the virtual appliance and produces an order of migration for the virtual objects. The cost of connections of the virtual objects may be determined by the total number of connections and the maximum number of connections. Alternatively the cost of the connections of the virtual objects for migration could be determined by a weighting the costs of the connections where the weighting may consider loading or other factors on the connection.

Abstract: An appliance migration mechanism (AMM) optimizes migration of a live virtual appliance with virtual objects between cloud environments to minimize temporary connections that use significant cloud resources during the migration. The AMM determines a cost of connections of each virtual object in the virtual appliance and produces an order of migration for the virtual objects. The cost of connections of the virtual objects may be determined by the total number of connections and the maximum number of connections. Alternatively the cost of the connections of the virtual objects for migration could be determined by a weighting the costs of the connections where the weighting may consider loading or other factors on the connection.

Abstract: A method is provided for applying tasks. The method can include receiving a plurality of tasks for a plurality of applications, an application of the plurality of applications is hosted by a computing environment utilizing a monitoring agent, and a task is performed for an operation of the application during a first period of time. The method can also include determining a first resource type and a first resource amount from the computing environment for performing the task. The method can also include grouping the plurality of tasks into a set of tasks based on the first resource type, at least two tasks from the set of tasks being performable in parallel during the first period of time. The method can also include determining whether the first resource amount of the first resource type is present in the computing environment during the first period of time.

Abstract: An appliance migration mechanism (AMM) optimizes migration of a live virtual appliance with virtual objects between cloud environments to minimize temporary connections that use significant cloud resources during the migration. The AMM determines a cost of connections of each virtual object in the virtual appliance and produces an order of migration for the virtual objects. The cost of connections of the virtual objects may be determined by the total number of connections and the maximum number of connections. Alternatively the cost of the connections of the virtual objects for migration could be determined by a weighting the costs of the connections where the weighting may consider loading or other factors on the connection.

Abstract: An appliance migration mechanism (AMM) optimizes migration of a live virtual appliance with virtual objects between cloud environments to minimize temporary connections that use significant cloud resources during the migration. The AMM determines a cost of connections of each virtual object in the virtual appliance and produces an order of migration for the virtual objects. The cost of connections of the virtual objects may be determined by the total number of connections and the maximum number of connections. Alternatively the cost of the connections of the virtual objects for migration could be determined by a weighting the costs of the connections where the weighting may consider loading or other factors on the connection.

Abstract: An appliance migration mechanism (AMM) optimizes migration of a live virtual appliance with virtual objects between cloud environments to minimize temporary connections that use significant cloud resources during the migration. The AMM determines a cost of connections of each virtual object in the virtual appliance and produces an order of migration for the virtual objects. The cost of connections of the virtual objects may be determined by the total number of connections and the maximum number of connections. Alternatively the cost of the connections of the virtual objects for migration could be determined by a weighting the costs of the connections where the weighting may consider loading or other factors on the connection.

Abstract: A method is provided for applying tasks. The method can include receiving a plurality of tasks for a plurality of applications, an application of the plurality of applications is hosted by a computing environment utilizing a monitoring agent, and a task is performed for an operation of the application during a first period of time. The method can also include determining a first resource type and a first resource amount from the computing environment for performing the task. The method can also include grouping the plurality of tasks into a set of tasks based on the first resource type, at least two tasks from the set of tasks being performable in parallel during the first period of time. The method can also include determining whether the first resource amount of the first resource type is present in the computing environment during the first period of time.

Abstract: A method is provided for applying tasks. The method can include receiving a plurality of tasks for a plurality of applications, an application of the plurality of applications is hosted by a computing environment utilizing a monitoring agent, and a task is performed for an operation of the application during a first period of time. The method can also include determining a first resource type and a first resource amount from the computing environment for performing the task. The method can also include grouping the plurality of tasks into a set of tasks based on the first resource type, at least two tasks from the set of tasks being performable in parallel during the first period of time. The method can also include determining whether the first resource amount of the first resource type is present in the computing environment during the first period of time.

Abstract: A method is provided for applying tasks. The method can include receiving a plurality of tasks for a plurality of applications, an application of the plurality of applications is hosted by a computing environment utilizing a monitoring agent, and a task is performed for an operation of the application during a first period of time. The method can also include determining a first resource type and a first resource amount from the computing environment for performing the task. The method can also include grouping the plurality of tasks into a set of tasks based on the first resource type, at least two tasks from the set of tasks being performable in parallel during the first period of time. The method can also include determining whether the first resource amount of the first resource type is present in the computing environment during the first period of time.

Abstract: A method is provided for applying tasks. The method can include receiving a plurality of tasks for a plurality of applications, an application of the plurality of applications is hosted by a computing environment utilizing a monitoring agent, and a task is performed for an operation of the application during a first period of time. The method can also include determining a first resource type and a first resource amount from the computing environment for performing the task. The method can also include grouping the plurality of tasks into a set of tasks based on the first resource type, at least two tasks from the set of tasks being performable in parallel during the first period of time. The method can also include determining whether the first resource amount of the first resource type is present in the computing environment during the first period of time.

Abstract: An appliance migration mechanism (AMM) optimizes migration of a live virtual appliance with virtual objects between cloud environments to minimize temporary connections that use significant cloud resources during the migration. The AMM determines a cost of connections of each virtual object in the virtual appliance and produces an order of migration for the virtual objects. The cost of connections of the virtual objects may be determined by the total number of connections and the maximum number of connections. Alternatively the cost of the connections of the virtual objects for migration could be determined by a weighting the costs of the connections where the weighting may consider loading or other factors on the connection.

Abstract: An appliance migration mechanism (AMM) optimizes migration of a live virtual appliance with virtual objects between cloud environments to minimize temporary connections that use significant cloud resources during the migration. The AMM determines a cost of connections of each virtual object in the virtual appliance and produces an order of migration for the virtual objects. The cost of connections of the virtual objects may be determined by the total number of connections and the maximum number of connections. Alternatively the cost of the connections of the virtual objects for migration could be determined by a weighting the costs of the connections where the weighting may consider loading or other factors on the connection.

Abstract: A method for adding storage space to a server without powering down the server is provided. One embodiment provides a method for dynamically linking a storage space to a network server, comprising: adding a new disk drive image to a network server description for the network server through a host server operating system, the new disk drive image corresponding to the storage space to be linked; sending a dynamic linking request from the host server operating system to a network server operating system; in response to the dynamic linking request, sending a device scanning request from the network server operating system to the host operating system; in response to the device scanning request, requesting response from each device connected to each SCSI port of a host server and reporting the new disk drive image to the network server operating system; and presenting the new disk drive image to users connected to the network server.

Abstract: A method for adding storage space to a server without powering down the server is provided. One embodiment provides a method for dynamically linking a storage space to a network server, comprising: adding a new disk drive image to a network server description for the network server through a host server operating system, the new disk drive image corresponding to the storage space to be linked; sending a dynamic linking request from the host server operating system to a network server operating system; in response to the dynamic linking request, sending a device scanning request from the network server operating system to the host operating system; in response to the device scanning request, requesting response from each device connected to each SCSI port of a host server and reporting the new disk drive image to the network server operating system; and presenting the new disk drive image to users connected to the network server.