Ca, Inc.

Ramanjaneyulu Malisetti

Serguei Mankovskii

Douglas Neuse

Subhasis Khatua

Rajasekhar Gogula

Venkata Ramana Koneti

Nagamohan Koganti

Vamshi Shekhar Chandramukhi

Data processing workloads are selectively assigned within a data center and/or among data centers based on non-data processing overhead within the data center and/or among the data centers. Power consumption of a rack including servers is predicted based on data processing demands that are placed on the servers for a given data processing workload, and power consumed by the rack is measured when the servers are performing the given data processing workload. A metric of power consumed by the rack for non-data processing overhead is derived based on a difference between results of the predicting and the measuring. A future data processing workload is selectively assigned to the rack based on the metric of power of power consumed by the rack for the non-data processing overhead. Assignment may also take place at an aisle and/or data center level based on these metrics.

Assigning data processing workloads in data centers based on non-data processing overhead

A power utilization index is determined for a server that defines an amount of energy that is consumed by the server for a unit of workload performed by the server. Future power usage by the server may then be predicted based on the power utilization index and a projected workload demand on the server. Moreover, workload for the server may be selectively assigned in response to the predicting. The power utilization index may be determined by a obtaining measurements of power consumed by the server in response to various workloads. Measurements of workload demands placed on the server are also obtained for the workloads. The measurements of workload demands may separately account for demands placed upon a processor subsystem of the server, a memory subsystem of the server, a network communication subsystem of the server and a storage subsystem of the server, for the various workloads.

Determining and using power utilization indexes for servers

A distributed computer system includes components. The components include embedded computer processors that make up an application within the distributed computer system. The computer processors are accessible by an end user of the system. The computer processors are operable to communicate with a plurality of system analyzers, to generate an operational status of the application in the system based on the communication with the plurality of system analyzers, to generate one or more recommendations to address or troubleshoot a non-desired operational status of the application within the system, and to provide a unified interface to the end user that provides to the end user the one or more recommendations to address or troubleshoot the non-desired operational status of the application within the system.

Feature centric diagnostics for distributed computer systems

According to one embodiment of the present disclosure, a method of collecting and reporting exceptions associated with information technology services includes receiving exceptions associated with a service, including receiving exceptions associated with an infrastructure and exceptions associated with an application; formatting the exceptions into an exceptions list; correlating at least one of the exceptions associated with the infrastructure and at least one of the exceptions associated with the application to identify a service error condition; and storing the exceptions list and an identifier of the service error condition for presentation to a client associated with the service.

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Hyderabad Telangana, India

Ramanjaneyulu Malisetti