International Business Machines Corporation

Globalfoundries Inc.

Trend Micro Inc.

William Carlisle Arnold

Tamar Eilam

Michael H Kalantar

Alexander V Konstantinou

Edward Charles Snible

David Michael Chess

Daniel Christopher Berg

Steve Richard White

Ian N Whalley

Alla Segal

Harm Sluiman

Alexander A Totok

John Frederick Morar

Michael D Elder

Tova Roth

Andrew Neil Trossman

John Eric Swanke

Brad Lee Blancett

Narinder Makin

Chad M Holliday

Jeffrey Owen Kephart

Dinakaran B Joseph

Matt Richard Hogstrom

Gili Mendel

Ruth Edith Willenborg

Jose I Ortiz

Asaf Adi

Gregory Bret Sorkin

Alexander Kofman

Timothy A Pouyer

Paul Darius Vytas

Murray J Beaton

John A Pershing

Murthy V Devarakonda

Myron Dale Flickner

Donald B Johnson

Stephen M Matyas

Jehoshua Bruck

Richard Bealkowski

Charles Edwin Cox

Hoi Yeung Chan

John D Wilkins

An V Le

Dennis G Abraham

Rostislaw Prymak

Morton Gregory Swimmer

Ramesh K Karne

Steven Richard White

David M Levine

Alice Tae Yun Yeung

Alice Tse Yun Yeung

Deployment pattern matching is implemented by accessing a target computing environment model that captures environment modeling parameters relating to resources and resource-resource relationships of a corresponding computing environment and expressing the target computing environment model as a model graph defined by target resource elements and resource-to-resource relationship links. Deployment pattern matching is further implemented by accessing a realization pattern that captures deployment parameters relating to resources and resource-resource relationships of a deployment of interest and expressing the realization pattern as a pattern graph defined by conceptual resource elements and constraints arranged by resource-to-resource relationship links and constraint links. The realization pattern is then evaluated against the target computing environment model by executing at least one pattern matching algorithm that attempts to match the pattern graph to the model graph and information corresponding to results of the evaluation are conveyed.

Deployment pattern realization with models of computing environments

A composable software bundle is created by retrieving a semantic representation of a set of software modules. A functional representation of a set of operations is retrieved. Each operation in the set of operations is to be performed on the set of software modules during at least one virtual image life-cycle phase in a set of virtual image life-cycle phases. A set of artifacts including a set of executable instructions associated with the set of operations is identified. The semantic representation, the functional representation, and the set of artifacts, are stored in a composable software bundle.

Semantically rich composable software image bundles

A virtual image is created by receiving a selection of at least one composable software bundle. The at least one composable software bundle includes a first set of metadata and a first set of artifacts comprising a first set of executable instructions associated with a first set of operations. A virtual image asset is selected and received. The virtual image asset includes one or more virtual image disks, a second set of metadata, and a second set of artifacts including a second set of executable instructions associated with a second set of operations. A new virtual image asset is created based on the at least one composable software bundle and the virtual image asset. The new virtual image asset includes a third set of metadata that is based on the first set of metadata and the second set of metadata.

Designing and building virtual images using semantically rich composable software image bundles

Lifecycles of virtual image assets are managed as follows. A set of assets including a set virtual image assets and a set of software bundle assets are analyzed. At least a portion of relationship data between one or more of the virtual image assets and one or more of the software bundle assets is determined. The at least a portion of relationship data is stored in a memory. At least one of one or more virtual image assets and one or more software bundle assets are determined to be associated with a set of changes. At least one virtual image asset that is related to the one or more virtual image assets and/or one or more software bundle assets associated with the set of changes is identified. The at least one virtual image asset that has been identified is updated based on the set of changes.

System for managing lifecycles for virtual image assets

Method for managing lifecycles for virtual image assets

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

Various embodiments disclose a method and system for creating a virtual part used for composing a virtual solution. In one embodiment, a user's selection of at least one virtual image is received. A set of configurability points is associated with the virtual image. A set of parameters of a virtual part is set as configurable during virtual solution composition. A set of virtual ports is generated. Each virtual port within the set of virtual ports indicates at least one of a set of virtual parts required by a virtual part including the set of virtual ports and a set of virtual parts that is compatible with the virtual part. A set of configuration operations is received. A virtual part including at least the virtual image, the set of configurability points, the set of virtual ports, and the configuration operations is generated.

Virtual parts having configuration points and virtual ports for virtual solution composition and deployment

A method and information processing system are provided for creating a virtual part and for composing and deploying a virtual solution with one or more virtual parts. The virtual part includes: a virtual image including a set of compatible software components; a set of configurability points, each configurability point defining at least one parameter of the virtual part that is configurable; a set of virtual ports, wherein each virtual port indicates at least one of a set of virtual parts required by the virtual part and a set of virtual parts that are compatible with the virtual part; and a set of configuration scripts adapted to reconfigure the virtual image.

Virtual solution composition and deployment system and method

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.

A mechanism to provide debugging and optimization in policy and knowledge controlled distributed computing system through the use of tagged policies is provided. An aspect of the mechanism tags one or more policies, for instance, at their creation time, execution time and/or at any other time an event that affects the policies occur. Decisions made according to policy execution or evaluation may be traced using the tags.

Mechanism to provide debugging and optimization in policy and knowledge controlled distributed computing systems, through the use of tagged policies and knowledge representation elements

A method and system for the automatic determination of the behavioral profile of a program suspected of having worm-like characteristics includes analyzing data processing system resources required by the program and, if the required resources are not indicative of the program having worm-like characteristics, running the program in a controlled non-network environment while monitoring and logging accesses to system resources to determine the behavior of the program in the non-network environment. A logged record of the observed behavior is analyzed to determine if the behavior is indicative of the program having worm-like characteristics. The non-network environment may simulate the appearance of a network to the program, without emulating the operation of the network.

Method and apparatus for the automatic determination of potentially worm-like behavior of a program

A system and method are provided to establish trust between a user and a policy system that generates recommended actions in accordance with specified policies. Trust is introduced into the policy-based system by assigning a value to each execution of each policy with respect to the policy-based system, called the instantaneous trust index. The instantaneous trust indices for each one of the policies, for the each execution of a given policy or for both are combined into the overall trust index for a given policy or for a given policy-based system. The recommended actions are processed in accordance with the level or trust associated with a given policy as expressed by the trust indices. Manual user input is provided to monitor or change the recommended actions. In addition, reinforcement learning algorithms are used to further enhance the level of trust between the user and the policy-based system.

System to establish trust between policy systems and users

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Mahopac, NY, United States of America

William Carlisle Arnold