Abstract: Systems for enforcing multiple object deletion policies over shared content objects that are accessible in a cloud-based service platform. A method embodiment commences upon receiving two or more sets of file deletion parameters that describe respective two or more object deletion policies covering a portion of the shared content objects. Records that form associations between the file deletion parameters and at least some of the shared content objects are made available to event listeners in the system. Upon detecting events associated with access to the shared content by the users, the event listeners analyze the events to identify objects of the shared content that are associated with the multiple object deletion policies. If an object is covered by conflicting deletion policy actions, then actions of the deletion policy having a higher priority are applied. Some actions prevent or delay modification of the objects. Lower priority data retention deletions are suppressed.

Abstract: An approach is provided for allowing a network computing (e.g., cloud computing) infrastructure to modify its resource allocation plan (e.g., an instance count) by using a Kth derivative vector plot, which may be generated using historical logs. Among other things, this approach enables an infrastructure to project an allocation forecast for a specified duration and adapt to changes in network traffic.

Abstract: Systems for enforcing multiple object deletion policies over shared content objects that are accessible in a cloud-based service platform. A method embodiment commences upon receiving two or more sets of file deletion parameters that describe respective two or more object deletion policies covering a portion of the shared content objects. Records that form associations between the file deletion parameters and at least some of the shared content objects are made available to event listeners in the system. Upon detecting events associated with access to the shared content by the users, the event listeners analyze the events to identify objects of the shared content that are associated with the multiple object deletion policies. If an object is covered by conflicting deletion policy actions, then actions of the deletion policy having a higher priority are applied. Some actions prevent or delay modification of the objects. Lower priority data retention deletions are suppressed.

Abstract: An approach is provided for allowing a network computing (e.g., cloud computing) infrastructure to modify its resource allocation plan (e.g., an instance count) by using a Kth derivative vector plot, which may be generated using historical logs. Among other things, this approach enables an infrastructure to project an allocation forecast for a specified duration and adapt to changes in network traffic.

Abstract: An approach is provided for allowing a network computing (e.g., cloud computing) infrastructure to modify its resource allocation plan (e.g., an instance count) by using a Kth derivative vector plot, which may be generated using historical logs. Among other things, this approach enables an infrastructure to project an allocation forecast for a specified duration and adapt to changes in network traffic.

Abstract: An approach is provided for allowing a network computing (e.g., cloud computing) infrastructure to modify its resource allocation plan (e.g., an instance count) by using a Kth derivative vector plot, which may be generated using historical logs. Among other things, this approach enables an infrastructure to project an allocation forecast for a specified duration and adapt to changes in network traffic.