International Business Machines Corporation

Andrew Neil Trossman

Tamar Eilam

Alexander V Konstantinou

Paul Darius Vytas

Daniel Christopher Berg

Michael D Elder

Michael H Kalantar

William Carlisle Arnold

Edward Charles Snible

John Eric Swanke

Juergen P Schneider

ChunHui Yang Higgins

Thomas Lumpp

Chad M Holliday

Narinder Makin

Brad Lee Blancett

William Patrick Higgins

Gabriel I Iszlai

Charles David Brant

Ming Chen

John L Ryding, Iii

Harm Sluiman

Michael George Polan

Timothy A Pouyer

Alexander A Totok

Andrei Oprea

Michael L Y Li

Mircea Mihaescu

Michael Scarth

C Razvan Peteanu

Michael Li

Duncan Hill

Hidayatullah Habeebullah Shaikh

Jeffrey Alan Frey

Asit Dan

Puthukode G Ramachandran

John Joseph Rofrano

Giovanni Pacifici

John Conrad Sanchez

Daniela Rosu

Michael D Williams

Chakkalamattam Jos Paul

Vijay Kumar Aggarwal

John Elliott Arwe

Thomas R Gissel

Markus Mueller

Guerney Douglass Holloway Hunt

Hendrik Wagner

Paul Ming Chen

Jingrong Gao

Alex Kwok Kee Tsui

Peter Kissa

Geyu Li

Radu Bogdan Mateescu

Teodor Laurentiu Tecsa

Cristina L Tecsa

Mircea Simion Ioan Avram

Alice Tae Yun Yeung

Alice Tse Yun Yeung

Mircea Avram

Arnaud Airy Xavier Lucien Mathieu

Techniques provide include analyzing a first node, associated with a first version of an service, to extract first configuration metadata; analyzing the first node, associated with a second version, subsequent to the first version, of the aservice, to extract second configuration metadata; determining, based upon a comparison of the first configuration metadata and the second configuration metadata, that the first node has not been modified between the first version and the second version; generating a first image of the node for distribution in conjunction with the service in response to the determining that the particular node has not been modified; and caching the first image for use in conjunction with the service.

Caching and analyzing images for faster and simpler cloud application deployment

Techniques provide include analyzing a first node, associated with a first version of an service, to extract first configuration metadata; analyzing the first node, associated with a second version, subsequent to the first version, of the service, to extract second configuration metadata; determining, based upon a comparison of the first configuration metadata and the second configuration metadata, that the first node has not been modified between the first version and the second version; generating a first image of the node for distribution in conjunction with the service in response to the determining that the particular node has not been modified; and caching the first image for use in conjunction with the service.

Techniques provide include analyzing a first node, associated with a first version of an service, to extract first configuration metadata; analyzing the first node, associated with a second version, subsequent to the first version, of the a service, to extract second configuration metadata; determining, based upon a comparison of the first configuration metadata and the second configuration metadata, that the first node has not been modified between the first version and the second version; generating a first image of the node for distribution in conjunction with the service in response to the determining that the particular node has not been modified; and caching the first image for use in conjunction with the service.

Access of data center resources is provided by the present invention using stateless and stateful Web services. For stateless Web services, the present invention provides an invoker API that allows a client to invoke a specific resource and perform an operation on the resource. For stateful Web services, the present invention provides a Web Service Definition file that defines attributes and operations for data center resources. The client may access an instance of a Web service resource once an endpoint reference is obtained from the server. Since the resource instance is persistent, the client may invoke data center operations and manipulate the resource attributes accordingly.

managing data center using web services

A method, apparatus, and computer instructions are provided for a common cluster model for configuring, managing, and operating different clustering technologies in a data center. The common cluster model supports peer cluster domains and management server cluster domains. Each cluster domain may have one or more cluster nodes. For each cluster domains, one or more cluster resources may be defined. These resources may depend on one another and may be grouped into a resource group. A set of cluster domain and cluster resources logical device operations are provided to configure, manage, and operate cluster domains and its associated resources.

Common cluster model for configuring, managing, and operating different clustering technologies in a data center

A deployment modeling platform enables a user to model application characteristics of target software and to associate application modeling parameters to the modeled application characteristics. A user may also model environment characteristics of a target deployment environment and to associate environment modeling parameters to the modeled deployment environment characteristics. Still further, a user may create a deployment model that associates and maps selected parameters of the modeled application characteristics of the target software to associated parameters of the modeled environment characteristics of the deployment environment, and to verify that each parameter that relates to a requirement is mapped to and is fulfilled by an associated parameter that relates to a corresponding capability to determine whether validation problems exist in order to deploy the target software in the associated deployment environment.

Simplified deployment modeling

A method, apparatus, and computer instructions are provided for deploying and instantiating multiple instances of applications in automated data centers using an application deployment template. A first mechanism is provided to deploy multiple instances of applications using an application deployment plan template. The first mechanism uses deployment parameter sets to generate corresponding deployment plans based on the deployment template. A second mechanism is provided to instantiate multiple instances of applications using deployment plan templates. A service catalog that is exposed to consumers for selection of catalog items is built on top of the second mechanism. During the cataloging and order fulfillment process, the second mechanism instantiates multiple instances of applications using the generated deployment plans and an application model to deploy multiple application instances. An existing order may also be modified or terminated responsive to a user request or service term expiration.

Deploying and instantiating multiple instances of applications in automated data centers using application deployment template

Extending a plurality of manageability capabilities of manageable information technology (IT) resources utilize an 'aspect of' association for describing a relationship between a first object representing a manageable resource playing a role of a subject and one or more additional objects each playing a role of an aspect. The 'aspect of' association establishes an overall manageability function for the first object representing a manageable resource and the one or more additional objects as a logical composition of a plurality of manageability capabilities. The manageability capabilities are provided using distinct implementation classes for supporting a specific role, and for supporting management-discipline related aspects and behaviors needed by each of a plurality of resource management applications for managing the manageable resource. The one or more additional objects have an aspect life cycle that is bounded maximally by a subject lifecycle of the first manageable resource.

Dynamically extending a plurality of manageability capabilities of it resources through the use of manageability aspects

A workflow request having a set of device specific operations and credentials is obtained. The workflow request is parsed to locate at least one of the set of device specific operations and credentials. The located device specific operations and credentials are replaced with at least one logical device operation and logical credentials to create a generalized credential and protocol workflow.

Generalized credential and protocol management of infrastructure

To provide a more cost effective way to manage the infrastructure while addressing the security needs of a computerized data center, a technique for credential and protocol independent management of infrastructure in a computerized data processing system is provided. More cost effective and secure management is obtained through modified workflows used in the operational management of the computer data processing system. A workflow is first parsed to locate device specific operation requests. Such specifications are then replaced with logical equivalents. The resulting workflow is neutral with respect to both credentials and protocol. Prior to execution, the modified workflow is combined with information retrieved from a resource or by an administrator that further resolves the workflow to a specific target object or plurality of target objects. Security is enhanced through granular administration of user ID and password combinations which may be maintained separate from the workflows in which they are used.

A system and method for disseminating policies to multiple policy-based components includes a policy producer which generates a group of policies to be enforced. A policy disseminator classifies each policy with a type, and for each policy type, the policy disseminator identifies policy-based components that handle a corresponding policy type. The policy disseminator sends specific policy types from the group of policies to each policy-based component that can handle that specific policy type.

Automated dissemination of enterprise policy for runtime customization of resource arbitration

Computer implemented method, system and computer usable program code for configuring a computing system. A system for configuring a computing system includes a mechanism for creating a model of a computing system, a validator for determining whether there are any errors in the model, and a resolver, responsive to determining that there is at least one error in the model, for determining whether there is at least one resolution for correcting the at least one error. A selector, responsive to determining that there is at least one resolution for correcting the at least one error, selects at least one resolution among the at least one resolution for correcting the at least one error to form at least one selected resolution to correct the at least one error, and applies the at least one selected resolution to the model to form a transformed model. An output outputs the transformed model to a user.

Method and system for modeling, validating and automatically resolving goals and dependencies between elements within a topology

Computer implemented method, system and computer usable program code for configuring a computing system. A determination is made whether there are any errors in the model, and responsive to determining that there is at least one error in the model, a determination is made whether there is at least one resolution for correcting the at least one error. Responsive to determining that there is at least one resolution for correcting the at least one error, at least one resolution among the at least one resolution for correcting the at least one error is selected to form at least one selected resolution to correct the at least one error. The at least one selected resolution is applied to the model to form a transformed model, and the transformed model is output to a user.

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North York, Canada

Andrew Neil Trossman