Abstract: A system and a method for adaptive information storage management is provided. One or more parameters from an incoming data stream is identified based on a set of predetermined rules. The identified parameters correspond to a set of predetermined parameters. A subset of rules is applied, from the set of predetermined rules, on the incoming data stream. The subset of rules represent a series of iterative rules associated with each identified parameter. One or more data storage allocation files are generated that represent results of application of the set of predetermined rules and the subset of rules. The results include at least a storage system type identified from the storage system as optimal for storing the incoming data stream.

Abstract: A system and a method for adaptive information storage management is provided. One or more parameters from an incoming data stream is identified based on a set of predetermined rules. The identified parameters correspond to a set of predetermined parameters. A subset of rules is applied, from the set of predetermined rules, on the incoming data stream. The subset of rules represent a series of iterative rules associated with each identified parameter. One or more data storage allocation files are generated that represent results of application of the set of predetermined rules and the subset of rules. The results include at least a storage system type identified from the storage system as optimal for storing the incoming data stream.

Abstract: This disclosure describes, generally, methods and systems for implementing memory overcommit of virtual machines. The method includes establishing a plurality of virtual machines on a physical machine, broadcasting, from each of the plurality of virtual machines to a central scheduler, resource usage requirements, and then based at least in part on the resource usage requirements broadcasted from each of the plurality of virtual machines, determining a resource requirements schedule for each of the plurality of virtual machines. The method further includes receiving at least one resource request from at least one of the plurality of virtual machines, based on the resource requirements schedule, un-assigning resources from at least one of the plurality of virtual machines, and assigning the un-assigned resources to the at least one of the plurality of virtual machines which initiated the resource request.

Abstract: This disclosure describes, generally, methods and systems for implementing memory overcommit of virtual machines. The method includes establishing a plurality of virtual machines on a physical machine, broadcasting, from each of the plurality of virtual machines to a central scheduler, resource usage requirements, and then based at least in part on the resource usage requirements broadcasted from each of the plurality of virtual machines, determining a resource requirements schedule for each of the plurality of virtual machines. The method further includes receiving at least one resource request from at least one of the plurality of virtual machines, based on the resource requirements schedule, un-assigning resources from at least one of the plurality of virtual machines, and assigning the un-assigned resources to the at least one of the plurality of virtual machines which initiated the resource request.

Abstract: This disclosure describes, generally, methods and systems for implementing memory overcommit of virtual machines. The method includes establishing a plurality of virtual machines on a physical machine, broadcasting, from each of the plurality of virtual machines to a central scheduler, resource usage requirements, and then based at least in part on the resource usage requirements broadcasted from each of the plurality of virtual machines, determining a resource requirements schedule for each of the plurality of virtual machines. The method further includes receiving at least one resource request from at least one of the plurality of virtual machines, based on the resource requirements schedule, un-assigning resources from at least one of the plurality of virtual machines, and assigning the un-assigned resources to the at least one of the plurality of virtual machines which initiated the resource request.

Abstract: According to an aspect of the present invention, nodes for hosting of new virtual machines (VM) are selected according to approaches designed to reduce power consumption in a grid. In an embodiment, the approaches are designed to facilitate the possibility of freeing one or more nodes from hosting VMs to power down the nodes, thereby reducing power consumption. Thus, an example approach is based on provisioning a new VM on a node which currently (immediately prior to provisioning) has the maximum resource consumption. Another example approach is based on provisioning a new VM on a node which currently has small-sized VMs in terms of resource requirements. In yet another embodiment, the approach is based on provisioning a new VM on a node located in a geographical area having low power tariffs.

Abstract: This disclosure describes, generally, methods and systems for implementing memory overcommit of virtual machines. The method includes establishing a plurality of virtual machines on a physical machine, broadcasting, from each of the plurality of virtual machines to a central scheduler, resource usage requirements, and then based at least in part on the resource usage requirements broadcasted from each of the plurality of virtual machines, determining a resource requirements schedule for each of the plurality of virtual machines. The method further includes receiving at least one resource request from at least one of the plurality of virtual machines, based on the resource requirements schedule, un-assigning resources from at least one of the plurality of virtual machines, and assigning the un-assigned resources to the at least one of the plurality of virtual machines which initiated the resource request.

Abstract: According to an aspect of the present invention, nodes for hosting of new virtual machines (VM) are selected according to approaches designed to reduce power consumption in a grid. In an embodiment, the approaches are designed to facilitate the possibility of freeing one or more nodes from hosting VMs to power down the nodes, thereby reducing power consumption. Thus, an example approach is based on provisioning a new VM on a node which currently (immediately prior to provisioning) has the maximum resource consumption. Another example approach is based on provisioning a new VM on a node which currently has small-sized VMs in terms of resource requirements. In yet another embodiment, the approach is based on provisioning a new VM on a node located in a geographical area having low power tariffs.