Bmc Software, Inc.

Vmware, Inc.

Nilesh Avinash Phadke

Abhijit Sharma

Troy Cline

Alexander G Vul

Sun Chun Chu

Pallavi Phadke

Varun Karnati

Rajesh Kamineni

Jonathan William Hall

Neeran Mohan Karnik

Amol Manohar Vaikar

Joseph A Scarpelli

Sameer Pokarna

Rakesh Dhoopar

Guriqbal Singh

Piyush Roy

Some embodiments provide a method for identifying network architecture in a datacenter. The method identifies connection information for multiple network elements. The connection information for each network element specifies other network elements to which the network element connects. The method assigns a set of the network elements to a set of two or more layers based on the connection information for the network element. The method uses the connection information to identify at least one group of network elements organized into a particular network architecture. The identified groups are for use in displaying user interface visualizations of the network elements of the datacenter.

Discovery of physical network architecture

In one example, a management node may include a storage device to store network device information associated with a plurality of network devices and physical hosts in a datacenter. Example network device information may include at least one of routing information and media access control (MAC) address information. Further, the management node may include a processor operable with the storage device and memory coupled to the processor. In one example, the memory may include a network topology generation unit to determine adjacency between the plurality of network devices in the datacenter using the routing information and/or media access control (MAC) address information associated with the plurality of network devices and generate a network topology including a network path between a source endpoint and a destination endpoint using the adjacency between the plurality of network devices.

Network topology generation based on network device information

A container set manager may determine a plurality of container sets, each container set specifying a non-functional architectural concern associated with deployment of a service within at least one data center. A decision table manager may determine a decision table specifying relative priority levels of the container sets relative to one another with respect to the deployment. A placement engine may determine an instance of an application placement model (APM), based on the plurality of container sets and the decision table, determine an instance of a data center placement model (DPM) representing the at least one data center, and generate a placement plan for the deployment, based on the APM instance and the DPM instance.

Service placement techniques for a cloud datacenter

A view generator receives support text characterizing a support requirement for available information technology (IT) support, the support text being received in sentence form via a graphical user interface (GUI). A text analyzer performs natural language processing on the support text and thereby identifies at least one sentence part and at least one named entity within the support text. A support record generator relates each of the at least one sentence part and the at least one named entity to a support record type, and generates a support data record for the support requirement, including filling individual fields of the support data record using the at least one sentence part and the at least one named entity.

Generation of support data records using natural language processing

A non-transitory computer-readable storage medium may include instructions stored thereon for ranking multiple computer modules to reduce failure impacts. When executed by at least one processor, the instructions may be configured to cause a computing system implementing the multiple computer modules to at least associate the multiple computer modules with multiple services that rely on the multiple computer modules, at least one of the multiple services relying on more than one of the multiple computer modules, determine values of the multiple services, and rank the multiple computer modules based on the determined values of the multiple services with which the respective multiple computer modules are associated.

Determining statuses of computer modules

The system may include a troubleshooting activity recorder configured to record troubleshooting sessions. Each troubleshooting session may include a sequence of queries and query results. The troubleshooting activity recorder may include a query transformer configured to transform the queries and the query results into transformed queries and transformed query results before recording the troubleshooting sessions. The troubleshooting activity recorder may be configured to record the transformed queries and the transformed query results as troubleshooting session information in a troubleshooting activity database. The system may include a troubleshooting pattern learning unit including a graph builder configured to generate a troubleshooting pattern graph having query nodes and links between the query nodes based on the troubleshooting session information.

Adaptive learning of effective troubleshooting patterns

Growing community of inventors

Pune, India

Nilesh Avinash Phadke