Ca, Inc.

Hyperformix, Inc.

Arista Networks, Inc.

Scientific and Engineering Software

Allan Drew Clarke

Douglas Neuse

Paul T Barnett

Timothy E Wise

Richard Gimarc

James Reynolds

Amy Carolyn Spellmann

Sebastian Sapa

Roman Olegovich Chertov

Kenneth Zink

Theodore Lehr

Daniel M Braddock

Annette Palmer

Carolyn West

Tom Zauli

David Leigh DuPré´

Rajinikala Ramachandran

James R Palmer

Douglas K Matchett

James Renyolds

Amy Carolyn Spellman

Carolyn W West

Douglas M Neuse

Robert M Howard

Mark A Esslinger

A network device includes an application programming interface (API) to access (read/write) network device configuration and status. For read requests, the API services the request by reading one or more internal data stores to read out the requested data without first reading a data tree that stores network device configuration and state. For write requests, the API services the request by writing data to one or more internal data stores, without first writing to a data tree that stores network device configuration and state.

Sharded model for configuration management and status retrieval

Systems and methods for the dynamic mapping of network element data between data models in network devices are disclosed. In particular, a marked-up native data model can be processed to create a mapping schema file based on the markup included in the native data model. This mapping schema file may define mappings between elements of the native data model and corresponding elements of an external data model. The mapping schema file can then be used to dynamically map network element data from the native data model to the external data model, such as when responding to requests for network element data associated with the mapped elements.

Method and system for data model mapping for network management

In accordance with the teachings of the present disclosure, a method of assessment of hosting suitability of multiple applications in a cloud is disclosed. The method may include defining, in a first synthetic application definition, a first plurality of resource consumptions, wherein the first plurality of resource consumptions are equivalent to consumptions by a first candidate application, and defining, in a second synthetic application definition, a second plurality of resource consumptions, wherein the second plurality of resource consumptions are equivalent to consumptions by a second candidate application. The method may also include consuming quantities of resources of pluralities of nodes of the computing system, recording performances of the synthetic, and evaluating the computing system based upon the recorded performances. The present disclosure additionally includes associated systems and apparatuses.

Assessment of hosting suitability of multiple applications in a cloud

In accordance with the teachings of the present disclosure, a method of assessment of cloud hosting suitability for multiple applications is disclosed. The method may include creating a second synthetic application definition based on a first synthetic application definition, wherein creating the second application definition comprises defining, in the second synthetic application definition, a second plurality of resource consumptions, wherein the second plurality of resource consumptions are equivalent to consumptions by the candidate application at a second level of user demand. The method may also include consuming, based on the second synthetic application definition, a plurality of quantities of resources of the computing system and evaluating the computing system. The present disclosure additionally includes associated systems and apparatuses.

Assessment of cloud hosting suitability for multiple applications

In accordance with the teachings of the present disclosure, a method of assessment of service level agreement compliance is disclosed. The method may include defining, in a synthetic application definition, a plurality of resource consumptions, wherein the plurality of resource consumptions are equivalent to consumptions by a candidate application, and distributing the synthetic application definition to a synthetic application in a node of a computing system. The method may further include consuming, with the synthetic application and based on the synthetic application definition, a plurality of quantities of resources of a plurality of nodes of the computing system. The method may additionally include recording a performance of the synthetic application, and comparing the recorded performance to a requirement of a service level agreement (SLA). The present disclosure additionally includes associated systems and apparatuses.

Assessment of service level agreement compliance

In accordance with the teachings of the present disclosure, a method of application-specific assessment of cloud hosting suitability is disclosed. The method includes distributing synthetic applications to nodes of the computer system. The method further includes consuming quantities of resources of nodes based upon a synthetic application definition. The method additionally includes measuring a performance characteristic of the synthetic applications, and evaluating performance of the synthetic applications. The present disclosure also includes associated systems and apparatuses.

Application-specific assessment of cloud hosting suitability

In accordance with the teachings of the present disclosure, a method of loading a definition of a synthetic application is disclosed. The method includes identifying a synthetic application definition for use by synthetic applications in nodes in a computing system. The method further includes identifying sets of node properties for the synthetic applications. The sets of node properties specify consumption of quantities of resources in the nodes. The sets of node properties are to cause the synthetic applications to consume resources in the computing system equivalent to consumption by a candidate application.

Definition of a multi-node synthetic application for assessment of cloud-hosting suitability

In accordance with the teachings of the present disclosure, a method of performing application-specific assessment of hosting suitability of multiple clouds is disclosed. The method may include defining, in a synthetic application definition, a plurality of resource consumptions, wherein the plurality of resource consumptions are equivalent to consumptions by a candidate application. The method may further include consuming a first plurality of quantities of resources of a plurality of nodes of a first computing system and consuming a second plurality of quantities of resources of a plurality of nodes of a second computing system. The method may also include recording a performance of the first and second synthetic application, and comparing the first computing system and the second computing system based upon the first performance and the second performance. The present disclosure additionally includes associated systems and apparatuses.

Application-specific assessment of hosting suitability of multiple clouds

A method includes receiving, at a load balancer for a plurality of computing components, a workload request. The method also includes accessing a database including a respective non-linear scalability model for each of the plurality of computing components. The method further includes determining a particular computing component from the plurality of computing components based on each respective non-linear scalability model; and scheduling the workload request for execution by the particular computing component.

Load balancing using improved component capacity estimation

The invention provides a method for preparing a discrete event simulation model of a production network including a client and a plurality of servers on a plurality of network tiers connected by a network comprising the steps of executing a business function from the client on the production network, gathering resource data from the plurality of servers, normalizing the resource data, calculating a consumption of resources used by the plurality of servers, estimating a transaction cost associated with the consumption of resources and building a discrete event simulation model from the transaction cost.

Method for building enterprise scalability models from production data

A software program, for allowing users to manage the execution of a complex set of steps toward the solution of complex system analysis problems. The set of steps is termed a recipe. A step is a small focused task designed to accomplish a single, well-defined goal. This invention allows recipes to be easily switched, recorded and reused and for steps to be dynamically reconfigurable based on what the user does.

Method and apparatus for managing complex processes

A method is disclosed that preparing a discrete event simulation model of a production network is provided including a client and a plurality of servers connected by a network comprising the steps of initiating a single business function trace test on the production network; gathering network flow trace data from the network; deriving a transaction summary from the network flow trace data; initiating a single business function load test on the production network; gathering resource data from the plurality of servers; normalizing the resource data; gathering web log data from at least one server from the plurality of servers; calculating a number of business functions running on the production network; calculating a consumption of resources used by the plurality of servers; calculating a business function cost associated with the consumption of resources; creating a business function profile from the transaction summary and the business function cost; and building a discrete event simulation model from the business function profile.

Method for building enterprise scalability models from load test and trace test data

A method of semi-automatic data collection, data analysis and model generation for performance analysis of computer networks and software is provided. The invention provides a graphical user interface which indicates the overall data flow in the performance analysis process and guides the user through the proper sequence of steps in that process. Underneath the graphical user interface, the invention provides software tools which include novel data pipeline for transformation of network traces, resource data and application data into organized hash tables, and further into spreadsheets for introduction into computer network simulation programs. The invention also provides novel algorithms for recognizing transaction and parentage between transactions from low level network trace data. The invention further provides novel methods of visualization of trace data and transaction and parentage associations.

Growing community of inventors

Austin, TX, United States of America

Allan Drew Clarke