Hewlett-packard Development Company, L.P.

Hewlett Packard Enterprise Development LP

Entit Software LLC

Mathias Salle

Erik L Eidt

Yassine Faihe

Chandra Kamalakantha

Reinier J Aerdts

Abdel Boulmakoul

Shi Xin

Wei-Wei Zhou

Evan Randy Kirshenbaum

Cipriano A Santos

Ping-Hua Hong

Ilya Joel-Pitcher

Chandra H Kamalakantha

A method of policy-based scaling of network resources comprises, with a processor, creating a dependency data set for a number of application components on a network, setting a number of scaling policies by tier based on the dependency data set, and applying the scaling policies within the network. A cloud management device for policy-based scaling of network resources comprises a processor, and a data storage device communicatively coupled to the processor, in which the processor creates a dependency data set for a number of application components on a network, and sets a number of scaling policies by tier based on the dependency data set.

Policy-based scaling of network resources

A method of network resource management comprising, with a processor, creating a model of an application, defining a number of substitution points within the model, expressing the substitution points as abstract models with a set of sub-types, and codifying a number of policies that express which sourcing option to use for each substitution point.

Network resource management

A method of policy-based scaling of network resources comprises, with a processor, creating a dependency data set for a number of application components m a network, setting a number of scaling policies by tier based on the dependency date set, and applying the scaling policies within the network. A cloud management device for policy-based scaling of network resources comprises a processor, and a data storage device communicatively coupled to the processor, in which the processor creates a dependency data set for a number of application components on a network, and sets a number of scaling policies by tier based on the dependency data set.

Policy based scaling of network resources

Methods, systems, and computer program products are provided for exchanging information between information technology (IT) services. An architecture provides separation of concern between the models by separating the models for IT services into an operation model and a structural model that are linked by a service model. The service model can be configurable to extend the operation model. Configuration of the operation model includes defining messages exchanged between the IT services. Configuration of the structural model includes capturing a structure of the IT services. The service model has an association with the structural model, the association making the structural model opaque to the operation model.

Separation of concerns between information technology services models

A method of migrating a number of applications from a first network to a second network comprises, with a processor, creating a dependency data set for a first network, creating a migration plan to migrate a number of applications from the first network to a second network based on the dependency data set, and migrating a number of applications from the first network to the second network based on the migration plan. A migration device for migrating a number of applications from a first network to a second network, comprises a processor, and a data storage device communicatively coupled to the processor, in which the processor creates a dependency data set for the first network, and migrates a number of applications from the first network to the second network based on the dependency data set.

Migrating applications between networks

A method comprises receiving a set of variable parameters, determining at least one computer executable service based on the set of variable parameters, determining if there are more than one computer executable services based on the set of variable parameters, and if there are more than one computer executable services, resolving any conditional attributes between the more than one computer executable services. Each of the at least one computer executable service is characteristically dependent on at least one variable parameter of the set of variable parameters.

Computer executable service

Methods, systems, and computer program products are provided for managing best practices in modeling information technology (IT) services. An architecture for validating a service model using a plurality of best practices (PBPs) provides separation of concern between the service model and selection of best practices by enabling an independent selection of the service model and the PBPs. A best practice precedence (BPP) is configured to disambiguate conflicts between the PBPs and select a selected best practice (SBP) from the PBPs. A validation engine validates a compliance or non-compliance of the service model with the SBP. A refined service model is generated by combining selective portions of the SBP with the service model.

Systems and methods for defining best practices, managing best practices, and validating service models

A desired instance of a service model is stored, and an observed instance of the service model is provided. Inconsistencies between the desired instance and the observed instance may be detected based on a comparison between the desired instance and the observed instance.

Information technology service management

In a methodof linking model instances to packages, a service instantiation request is received. The service instantiation request is associatedwith service model instance. Linked instances are generatedbetween the service model instance and available packages. The linked instances are evaluated. Based on the evaluating, a most efficient linked instance of the linked instances is selectedto include in a bound package model of the service instantiation request.

Linking model instances to packages

Reconfiguring a model [] is described. An instruction is accessed [], wherein the instruction comprises utilizing one or more model elements to reconfigure a model. A refinement chain is utilized [] to access a portion of the model, the portion being non-variable and associated with the instruction, and wherein the refinement chain tracks design changes for the model. A specific instance is located [], the specific instance being closest to the portion within the refinement chain at which an inclusion of the one or more model elements alters a performance of the model to reflect the inclusion. The model is re-instantiated [] utilizing the one or more model elements beginning at the specific instance, thereby enabling a reconfiguration of the model according to the instruction.

Reconfiguring a model

In a method of instantiating an information technology (IT) service in light of maintenance requirements, maintenance window instances are determined. The maintenance instance windows are associated with reusable service instances available in a datacenter. The maintenance window instances are analyzed in conjunction with a service model of said IT service to determine a maintenance efficient binding of a selection of said reusable service instances with which to provide an instance of said IT service.

Instantiating an information technology service in light of maintenance requirements

Methods, systems, and computer program products are provided for modeling consequences of events on performance indicators. A causality model is provided to define relationships between events and the consequences associated with each one of the events to modify a value of at least one of the performance indicators associated with each one of the events. An algorithm included in the causality model is executable to compute an impact of the consequences on the value. A causality model management system is provided to manage the causality model, including storing, execution of the algorithm, interfacing with other systems, and simulating what-if scenarios of the events and the performance indicators.

System and methods for modeling consequences of events

A method comprises determining available hardware, determining computer executable services based in part on the available hardware, displaying a catalog of the computer executable services, receiving a selection of at least one service of the computer executable services, and instantiating the at least one service on the at least one server. The available hardware comprises at least one server.

Computer executable services

Methods, systems, and computer program products are provided for decision making under uncertainty. A causality framework is provided to define relationships between an alternative (Ai) of a set of alternatives and at least one performance indicator of a set of performance indicators. A k-concurrent lottery (Li) associated with the alternative (Ai) is conducted, the alternative (Ai) having consequences over k ones of the set of performance indicators. The k-concurrent lottery (Li) is homogenized over the set of performance indicators if the k ones is less than a number of the set of performance indicators. An expected utility of the k-concurrent lottery (Li) for each one of the set of alternatives is computed. One alternative is selected from the set of alternatives, the selection occurring in accordance with a selection criteria based on the expected utility.

Systems and methods for modeling consequences of events

A method is disclosed for evaluating the performance of a website. An agent interacts with the website using a behavior model of an exemplary website customer. The agent interacts with the website according to the behavior model and gathers website performance data related to the interaction. The performance data is compared to a utility function for the behavior model. A rating is assigned to the website based on the comparison, and the rating is made available to potential website customers seeking information related to the website's performance.

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San Francisco, CA, United States of America

Mathias Salle