International Business Machines Corporation

Pss Systems, Inc.

Deidre Paknad

Roman Kisin

Pierre Raynaud-Richard

Irina Simpson

Sonia Cheng

Anirudh Oswal

Pamela H Hurwitch

Andrey Pogodin

Puttappaiah Muniyappa

Bruce K Martin, Jr

Eran Palmon

Nazrul Islam

According to one aspect of the present disclosure, a system and technique for capacity forecasting includes a host having a processor unit and a memory. Resource data associated with an environment is stored in the memory having inventory information of storage resources of the environment. A ledger module executable by a processor unit accesses policy data associated with data archival and creates an archival transaction. The ledger module targets data for the archival transaction, links at least one storage resource to the archival transaction, and forecasts a change in capacity of the linked storage resource for the archival transaction based on the policy data.

Capacity forecasting based on capacity policies and transactions

According to one aspect of the present disclosure, a technique for capacity forecasting includes a host having a processor unit and a memory. Resource data associated with an environment is stored in the memory having inventory information of storage resources of the environment. A ledger module executable by a processor unit accesses policy data associated with data archival and creates an archival transaction. The ledger module targets data for the archival transaction, links at least one storage resource to the archival transaction, and forecasts a change in capacity of the linked storage resource for the archival transaction based on the policy data.

According to one aspect of the present disclosure, a method and technique for capacity forecasting includes storing, in a memory, resource data associated with an environment, the resource data comprising inventory information of applications, processing resources and storage resources of the environment. A ledger module executable by a processor unit creates a storage capacity-affecting transaction. At least one of an application, processing resource and storage resource is identified and linked to the transaction from the resource data. An initiation time and duration associated with the transaction is determined, and a change in capacity of at least one linked storage resource for the transaction is determined and a time of the change in capacity.

According to one aspect of the present disclosure, a system and technique for capacity forecasting includes a host having a processor unit and a memory. Resource data associated with an environment is stored in the memory, the resource data comprising inventory information of applications, processing resources and storage resources of the environment. A ledger module executable by a processor unit creates a storage capacity-affecting transaction, identifies and links at least one of an application, processing resource and storage resource to the transaction from the resource data, determines an initiation time and duration associated with the transaction, and forecasts a change in capacity of at least one linked storage resource for the transaction and a time of the change in capacity.

According to one aspect of the present disclosure, a system and technique for capacity forecasting is disclosed. The system includes a host having a processor unit and a memory. Resource data stored associated with an environment is stored in the memory, the resource data comprising inventory information of applications, processing resources and storage resources of the environment. A ledger module is executable by a processor unit to: create a capacity-associated transaction; identify and link at least one of an application, processing resource and storage resource to the transaction from the resource data; determine an initiation time and duration associated with the transaction; and forecast a change in capacity of at least one linked storage resource for the transaction and a time of the change in capacity.

According to one aspect of the present disclosure, a method and technique for capacity forecasting is disclosed. The method includes: storing, in a memory, resource data associated with an environment, the resource data comprising inventory information of applications, processing resources and storage resources of the environment; and providing a ledger module executable by a processor unit to: create a capacity-associated transaction; identify and link at least one of an application, processing resource and storage resource to the transaction from the resource data; determine an initiation time and duration associated with the transaction; and forecast a change in capacity of at least one linked storage resource for the transaction and a time of the change in capacity.

Systems and methods for managing legal obligations for data are provided. In exemplary embodiments, an information portal is established which provides a visual interface of legal obligations and workflow required to be administered by IT personnel. At least one legal obligation may be determined. Based on the legal obligation, workflow for performing the legal obligations is generated for IT personnel. The workflow may comprise instructions to personnel responsible for data management of one or more affected systems containing the data. The instructions are then provided via the information portal.

System and method for managing legal obligations for data

An exemplary system and method for providing a map of an enterprise system is provided. The method comprises accessing data describing an element from one or more sources. One or more objects are associated with the element. At least one relationship is identified between the one or more objects. A map is then generated of an enterprise system comprised of the one or more objects based on the at least one identified relationship.

Systems and methods for providing a map of an enterprise system

A computer apparatus and computer implemented method for policy distribution provides a Records Management System (RMS) that is configured for setting up and maintaining local record classification and disposition policies. An Enterprise Retention Management (ERM) application comprises a centralized workflow configured for managing retention policies for an entity. An application layer in the ERM comprises a propagation workflow that is configured for managing retention policy integration between the ERM and the RMS. The propagation workflow thus provides automated retention policy propagation from the ERM to the RMS.

Method and apparatus for policy distribution

Retention of data is managed and data holds are enforced. At least one event consumer data source contains data that is subject to a retention schedule that defines rules for the disposition of the data. An enterprise retention management (ERM) application accepts at least one hold request that defines at least a portion of the data that must be held from disposition. A disposition request is also accepted by the ERM that comprises an instruction to dispose of at least a portion of the data based on the rules within the retention schedule. The disposition request is filtered to dispose of the portion of data identified in the disposition request minus the held data, which comprises disposition survivor data. An event-driven disposition mechanism disposes of the disposition survivor data as soon as possible after the disposition survivor data is released from hold or unlocked.

Method and apparatus for handling edge-cases of event-driven disposition

This disclosure relates to systems, methods and apparatuses for managing the retention and disposition of data for an event consumer using an Enterprise Retention Management System wherein the management is driven by business events.

Event driven disposition

When creating exhaustive, affected lists within a request scope, any legal risk due to failure to identify or leverage existing knowledge of a company about custody of evidence related to a legal matter is minimized. Accurate affected lists are constructed for an ongoing or impending litigation. Affected people, systems, or record types are included at first, and the list is modified over time once their exact association to the litigation context is clarified (new ones are added, not required are removed). Automation of data capture eliminates the risk of human error during data entry. Conflict resolution is applied when the same person, system, or record type is identified in the request scope, as part of multiple affiliations and associations. Overlapping lists are automatically merged to enable simple and efficient processing, without having to cull different lists. Affected elements in the request scope that could otherwise be missed are tracked and added. A relevant list of all affected elements based on multiple likely inconsistent sources of knowledge dispersed throughout a company is created, with a high degree of confidence in the context of an ongoing litigation or an impending litigation.

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Palo Alto, CA, United States of America

Deidre Paknad