International Business Machines Corporation

Jason Benfield

Lorin Ullmann

Julianne Yarsa

Oliver Yehung Hsu

A method, system, apparatus, and computer program product is presented for management of a distributed data processing system on behalf of a plurality of management customers. The distributed data processing system is logically represented as a set of scopes, wherein a scope is a logical organization of network-related objects. Endpoint objects, system objects, and network objects are logically organized into a set of scopes that do not logically overlap. Each scope is uniquely assigned to a management customer. The distributed data processing system is managed as a set of logical networks in which a logical network contains a set of scopes and in which each logical network is uniquely assigned to a management customer. An administrative user may dynamically reconfigure the logical networks within the distributed data processing system while managing the logical networks for a set of customers.

Management of logical networks for multiple customers within a network management framework

A method, system, apparatus, and computer program product is presented for management of a distributed data processing system. Resources within the distributed data processing system are dynamically discovered, and the discovered resources are adaptively monitored using the network management framework. When the network management framework detects that certain components within the network management framework may have failed, new instances of these components are started. If duplicate components are later determined to be active concurrently, then a duplicate component is shutdown, thereby ensuring that at least one instance of these components is active at any given time. After certain failover events, a resource rediscovery process may occur, and a topology database containing previously stored information about discovered resources is resynchronized with resource information about rediscovered resources.

Method and system for a network management framework with redundant failover methodology

A method, system, and computer program product for discovering status of a network topology. A network management framework provides the ability to specify a method for determining how to gather status of a data processing system. A data gathering technique (DGT) may be dynamically adjusted to discovery or monitoring of devices within the data processing system. Different data gathering techniques may be employed in an effort to discover or monitor the devices. In addition, results of previous network data gathering may be stored for later use. These stored results may used to develop an order of relative capabilities for a managed device or devices as compared to other device or devices in the same network. Discovery and monitoring information may be obtained about one device or N devices within the network.

Dynamic intelligent discovery applied to topographic networks

A method, system, apparatus, and computer program product are presented for management of a distributed data processing system on behalf of a plurality of management customers. A set of logical networks within the distributed data processing system and/or a set of physical networks in the distributed data processing system are associated with an anchor object. A topology map can be generated and displayed in which a root node of the topology map is the anchor object. Each anchor object is uniquely associated with a customer for which the distributed data processing system is managed. The topology display can be restricted such that portions of topology information are displayed to an administrative user in accordance with the authorized security access of the user.

Method and system for restricting and enhancing topology displays for multi-customer logical networks within a network management system

A method, system, apparatus, and computer program product is presented for management of a distributed data processing system. A network management framework dynamically adapts database operations so as to maximize system performance. A skeletonization mechanism is presented in which some objects are merely represented in a database cache as a skeleton object. A skeleton object holds only a fraction of an object's full complement of data; the skeleton object remains associated with its complete object, also termed its corresponding full object or non-skeleton object, which remains stored within its original location within a database. Skeletonized data can be updated on an as-needed or on-demand basis or when otherwise convenient; at that time, a skeleton handler can detect when a request is made for the object, retrieve the remaining data from persistent storage, and then mark the cached object as being a full object or non-skeleton object.

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Austin, TX, United States of America

Jason Benfield