International Business Machines Corporation

Lenovo (Singapore) Pte. Ltd.

Trend Micro Inc.

Alla Segal

Ian N Whalley

Anca Sailer

David Michael Chess

Thomas E Chefalas

Alexei A Karve

Ignacio Silva-Lepe

Frank Andre Schaffa

Rahul P Akolkar

Chang-Shing Perng

William Carlisle Arnold

Tao Tao

Jim Alain Laredo

Steve Richard White

John Frederick Morar

Randy Allan Rendahl

Ajay Mohindra

Andrzej P Kochut

Yu Deng

Murthy V Devarakonda

Hidayatullah Habeebullah Shaikh

Yexi Jiang

Yang Zhou

Salman Abdul Baset

Charles Otto Schulz

Rajarshi Das

Hoi Yeung Chan

Gerald James Tesauro

James Edwin Hanson

Sophia Krasikov

Ali Anwar

Neeraj Asthana

Morton Gregory Swimmer

Matthew X Staffelbach

Rajashi Das

Jeffrey Owen Kephart

Hui Lei

Minkyong Kim

Liangzhao Zeng

Sai Zeng

Isabelle Marie Rouvellou

Long Wang

Thomas Arthur Mikalsen

Jian Yin

David W Levine

Edward John Pring

Revathi Subramanian

Paula K Austel

Ameya Tayade

Edwin Richie Lassettre

Senthilnathan Velayudham

Jean-Michel Yann Boulay

Alexei Arun Karve

A system, computer program product, and method are provided to automate management of a computer architecture as represented in a codified infrastructure with one or more embedded dynamically labeled resources. The codified infrastructure is subject to interpretation within the context of the dynamically labeled resources. The dynamic labels are converted to static labels, after which the corresponding architecture is deployed. The deployment architecture continues to be updated when the meaning of the dynamic labels change.

Dynamic infrastructure management and processing

An aspect includes the automatic generation of blueprints for orchestration engines from discovered workload representations. A computer-implemented method includes receiving, using a processor, a description of a workload executing in a source computing environment. The description of the workload is mapped, using the processor, to one or more resource descriptors located in a repository of resource descriptors describing resources available in a target computing environment. A declarative representation of the workload in the target computing environment is generated, using the processor, based at least in part on the mapping and the description of the workload. The declarative representation includes a specification of resources required by the workload in the target environment.

Automatic generation of blueprints for orchestration engines from discovered workload representations

Systems and methods are provided for dynamic metering adjustment for service management of a computing platform. For example, a plurality of virtual machines are provisioned across a plurality of computing nodes of a computing platform. Data samples are collected for a metric that is monitored with regard to resource utilization in the computing platform by the virtual machines. The data samples are initially collected at a predefined sampling frequency. The data samples collected over time for the metric are analyzed to determine an amount of deviation in values of the collected data samples. A new sampling frequency is determined for collecting data samples for the metric based on the determined amount of deviation. The new sampling frequency is applied to collect data samples for the metric, wherein the new sampling frequency is less than the predefined sampling frequency.

Dynamic metering adjustment for service management of computing platform

An approach for ontological policy based data collection, processing, and negotiation for data in view of analytics is provided. The approach searches one or more data sources for data related to a data request. The approach collects data related to the data request from the one or more data sources. The approach determines whether one or more attributes generated from the data request match one or more descriptors associated with the data related to the data request. The approach creates one or more annotated ontologies for the data related to the data request. The approach displays a hierarchical visualization of the one or more annotated ontologies for the data related to the data request. The approach updates the one or more annotated ontologies for the data related to the data request based, at least in part, on an evaluation of the quality of the one or more data selections.

Policy based data collection, processing, and negotiation for analytics

Offline functionality-based co-ranking and clustering is carried out on a knowledge base that characterizes a heterogeneous information technology services network including a plurality of services, a plurality of providers, and a plurality of attributes. Results of the functionality-based co-ranking and clustering are stored as annotations of the services and the providers in the knowledge base, to obtain an annotated knowledge base. A service requirement is obtained from a customer requiring information technology services. The annotated knowledge base is queried, based on the service requirement; and an ordered list of at least given ones of the services, based on the querying, is returned to the customer.

Complex service network ranking and clustering

Systems and methods are provided to support service management in cloud computing networks. For example, a method for managing a computing platform includes provisioning a plurality of virtual machines across a plurality of computing nodes of a computing platform, wherein the provisioned virtual machines are configured to execute service workloads to provide one or more services to customers, and utilizing one or more of the provisioned virtual machines which execute the service workloads to further perform service management operations for managing the computing platform. The service management operations for managing the computing platform include, e.g., mediation and rating operations for revenue management of the computing platform.

Scalable metering for cloud service management based on cost-awareness

A method for providing a cloud-based service includes receiving information from a customer of the service over a conversational interface, the information identifying a requirement of the customer related to a resiliency of the service, and identifying a service provider who provides the service in a manner that satisfies the requirement. A method for building a knowledge base of cloud-based service providers includes receiving information from a service provider, the information specifying at least one resiliency attribute of the service provider, matching the information to a standardized service descriptor, wherein the service descriptor is indexed within an ontology-based organizational framework that indexes a plurality of service descriptors, and storing the service descriptor for the service provider.

Providing information technology resiliency in a cloud-based services marketplace

In an approach for creating a service composition, a processor receives a plurality of software modules, wherein each software module performs part of a service requested by one or more users on a network. A processor collects one or more attributes and one or more dependencies for each of the plurality of software modules. A processor appends information about the attributes and the dependencies to each respective software module. A processor stores each of the plurality of software modules with the respective appended information in a database. A processor creates a service composition comprised of a combination of the plurality of software modules, based on the appended information and the service requested by the one or more users on the network.

Refining composition instrumentation for services

A plurality of traditional software applications are packaged as custom composite solutions, and are stored as custom composite solution deployable images. Customer input is obtained from a customer. At least one of the custom composite solution deployable images is deployed into a management cloud in response to the customer input.

On-demand cloud service management

A method for automated provisioning of computing resources in a distributed computing network includes obtaining a data structure representing a resource dependency characterization of an application to be implemented over the distributed computing network, wherein the data structure indicates a set of resources to be deployed, obtaining a template that represents a predefined network topology for supporting deployment of the set of resources, mapping the set of resources represented in the data structure to the template so as to satisfy a set of component requirements to generate a deployment map, and provisioning the set of resources on a plurality of computers based on the deployment map to implement the application over the distributed computing network.

Method and apparatus for template-based provisioning in a service delivery environment

Co-locating a virtual machine with nested virtualization, in one aspect, may comprise receiving a list of one or more virtual machine instances to co-locate with associated configuration information. A parent virtual machine instance may be identified to host the one or more virtual machine instances. Virtual machine images associated with the one or more virtual machine instances may be consolidated. A composite parent virtual machine image may be created based on the consolidated virtual machine images and the parent virtual machine instance. The parent virtual machine instance may be configured to accommodate for capacity requirement of the one or more child virtual machine instances. The parent virtual machine instance may be started on a processor via the composite parent virtual machine image. The one or more virtual machine instances may be started within the parent virtual machine instance as one or more child virtual machine instances.

Co-location of virtual machines with nested virtualization

A natural language specification of at least one high level information technology services requirement is obtained from a user, via a conversational interface; the same is parsed into first pre-defined semi-structured data, using a conversation parser. Based on the first pre-defined semi-structured data, a subset of candidate information technology services is identified, with a dialog engine, from a plurality of candidate information technology services provided by a plurality of vendors, the dialog engine is used to formulate a response including second pre-defined semi-structured data. The response is reverse-parsed into a natural language response, using the conversation parser. The natural language response includes a question for the user to assist in further refining the subset of candidate information technology services; the natural language response is presented to the user via the conversational interface.

Interactive acquisition of remote services

Systems and methods for custom-fitting a service solution to consumer requirements are provided. A method for custom-fitting a service solution to consumer requirements, comprises acquiring a request for the service solution from a consumer via a conversational interface, and issuing a query to a service knowledge base to obtain a set of service knowledge representation items from the service knowledge base and analyzing each service knowledge representation item to determine whether a custom-fit service solution can be developed.

System and method for custom-fitting services to consumer requirements

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Mount Kisco, NY, United States of America

Alla Segal