International Business Machines Corporation

Microsoft Technology Licensing, LLC

Joshy Joseph

Rick A Hamilton, Ii

Craig William Fellenstein

James W Seaman

Vincent Valentino Di Luoffo

Thomas R Maguire

Christopher J Dawson

Lianjun An

Jason Hogg

Peter M Holmes

Edward Barnes Boden

Michael D Williams

Arun Ramanathan Chandrasekhar

Anand C Ramanathan

JaiPaul K Antony

Naveen Sachdeva

Michael D Willivam

Aron T Lien

Emily M Wasser

A product guidance system is described herein that provides consistent methods and processes to aggregate product guidance from different online (and potentially local) sources, to ensure that the guidance aggregation is done with proper quality criteria (e.g., content/author reputation), to define how guidance is aggregated and presented appropriately for the context (e.g., a novice user may see different UI experience and different content than an advanced user), and to specify how the guidance is delivered within the product surface itself. The system defines a consistent information asset type meta-model, applies a semantic approach and algorithms to aggregate guidance content from varying sources and deliver through consistent interfaces, and provides an asset and user interface composition model to present the retrieved information following flexible categorization and navigation schemes. Thus, the product guidance system helps product teams deliver the right information, within the right context, and within the product surface.

Presentation of multiple sources of application guidance information

The subject disclosure is directed towards generating an intermediary (e.g., declarative) model based upon reflecting on and interpreting command line applications or the like, to represent a default user interface and default code transformation process. The intermediary model is modifiable to provide a customized output program. The models may be persisted, edited and otherwise modified to perform a management task, for example.

Executable guidance experiences based on implicitly generated guidance models

Computing environments within a grid computing system are dynamically built in response to specific job resource requirements from a grid resource allocator, including activating needed hardware, provisioning operating systems, application programs, and software drivers. Optimally, prior to building a computing environment for a particular job, cost/revenue analysis is performed, and if operational objectives would not be met by building the environment and executing the job, a job sell-off process is initiated.

Dynamically building application environments in a computational grid

Performance data is captured periodically from resources and groups of resources in a grid computing environment and stored in a content-addressable data repository from which it can be accessed in response to an arbitrarily complex query in regard to specifics of particular jobs or job portions, particular resources utilized, grid architecture, application environment, concurrent jobs or job portions and the like. The data repository may be distributed or divided in regard to grid environment architecture, security domains or the like and each portion or division may be implemented in a modular fashion including an accounting and statistics management module and additional modules or computing engines for performing particular desired analyses or functions. Results of such analyses or functions may be communicated to a grid workload agent (and associated modules) to improve grid management on a fine-grained basis.

Grid computing accounting and statistics management system

A grid service detects a current software environment for a grid job within a grid environment, wherein the grid environment includes multiple grid resources. The grid service searches a catalog of multiple software images to determine whether an image for the current software environment matches any software images in the catalog. Each of the software images includes an index into at least one installation image. Storage of the software images is structured in the catalog for automated efficient access to each software image by multiple resource nodes within the grid environment. If the grid service does not locate a software image for the current software environment in the catalog, the grid service captures at least one installation image for the current software environment for storage in the catalog as an additional software image.

Automated management of software images for efficient resource node building within a grid environment

System and method for dynamically building application environments in a computational grid

A method, system, and program for estimating future grid job costs by classifying grid jobs and storing results of processing grid job microcosms are provided. In general, a client side agent estimates future grid job costs by comparing a current grid job of a particular classification with a history of stored costs for other grid jobs of that customer of that particular classification. In particular, the grid client agent for a client system enabled to submit grid jobs to a grid provider that facilitates a grid environment, calculates a ratio of an application based metric to a grid provider metric for processing a particular grid job. Then, the grid client agent creates a table with an entry comparing the application based metric to a cost per grid provider metric for the grid provider based on the calculated ratio. Next, the grid client agent stores the table with the entry. Then, responsive to detecting a next grid job, the grid client agent estimates a cost for the grid provider to process the next grid job based on a particular number of application based metric operations required for the next grid job, translated by the ratio into the grid provider metric and multiplied by the cost per grid provider metric.

Estimating future grid job costs by classifying grid jobs and storing results of processing grid job microcosms

At least one decision to allocate additional resources to at least one previously submitted job is stored in a decision cache, wherein said the least one decision is stored according to at least one characteristic of the at least one previously submitted job. When another job is submitted to the grid environment needs additional resources, the characteristic of the currently submitted job is compared with the characteristics of previous submitted jobs. If there is a match, then the previously made decision associated with the matching characteristic controls allocation of additional resources for the currently submitted job, such that complex decision making for allocation of additional resources is minimized by reusing previously stored decisions to allocate additional resources.

Minimizing complex decisions to allocate additional resources to a job submitted to a grid environment

A method, system, and program for automating responses by grid providers to bid request indicating criteria for a grid job are provided. A bid controller grid service of a grid provider receives a job request from a client for processing a job within a grid environment of the grid provider, wherein the job request specifies at a least one criteria required for the grid provider to handle a particular grid job. The grid service determines whether the grid environment includes the hardware platform class, software platform class, and network bandwidth required by the job request. If the grid service determines that the grid environment includes a sufficient hardware platform class, software platform class, and network bandwidth, then a total required workload for the job request is calculated. Next, a total cost for the total required workload is estimated and the grid service automatically returns a bid response to the client system, where the bid response includes an identifier for the grid provider and the total cost for the job request. In addition, the bid response may include a total time for performance of the grid job described by the job request.

Automating responses by grid providers to bid requests indicating criteria for a grid job

The present invention is method for scheduling jobs in a grid computing environment without having to monitor the state of the resource on the gird comprising a Global Scheduling Program (GSP) and a Local Scheduling Program (LSP). The GSP receives jobs submitted to the grid and distributes the job to the closest resource. The resource then runs the LSP to determine if the resource can execute the job under the conditions specified in the job. The LSP either rejects or accepts the job based on the current state of the resource properties and informs the GSP of the acceptance or rejection. If the job is rejected, the GSP randomly selects another resource to send the job to using a resource table. The resource table contains the state-independent properties of every resource on the grid.

Grid non-deterministic job scheduling

A method, system, and program for managing escalating resource needs within a grid environment are provided. A job is submitted into a first selection of resources in a grid environment from among a hierarchy of discrete sets of resources accessible in the grid environment. Discrete sets of resources may include locally accessible resources, enterprise accessible resources, capacity on demand resources, and grid resources. The performance of the first selection of resources is monitored and compared with a required performance level for the job. If the required performance level is not met, then the discrete sets of resources are queried for available resources to meet the required performance level in an order designated by said hierarchy. Available resources in a next discrete set of resource from the hierarchy of discrete sets of resources are added to a virtual organization of resources handling the job within the grid environment. In particular, the virtual organization of resources may include the first selection of resources and the added resources which are distributed across heterogeneous systems. If capacity on demand resources are allocated and added to the virtual organization, then the capacity on demand resources are deallocated when no longer needed.

Managing escalating resource needs within a grid environment

A system, method, and service associated with a computing grid or a virtual organization include a request for proposal (RFP) generator, where the RFP describes a data processing task. The RFP is provided to multiple resource providers via the computing grid where each of the resource providers is potentially suitable for performing the data processing task on behalf of the resource consumer. An RFP response processor receives and evaluates RFP responses generated by one or more of the resource providers. An exception processor accessible to the RFP response processor evaluates any exception in the RFP to determine if the exception disqualifies the RFP response. The exceptions may include, for example, job time limit exceptions, resource requirement exceptions, hardware/software platform requirement exceptions and others. Exception rules may be defined to guide the evaluation of the exception.

Apparatus, methods, and computer programs for identifying or managing vulnerabilities within a data processing network

A system for maintaining application operations within a suboptimal grid environment includes a grid management system. The grid management system submits an application from among multiple applications to at least one resource node of a grid environment, wherein separate jobs each request at least one of the multiple applications. The grid management system monitors a performance status of the at least one resource node running the application according to a profile for the application. The grid management system compares the performance status with an operational requirement specified in the profile for when the application is operating at the at least one resource node. The grid management system, responsive to the performance status not meeting the operational requirement, adjusts the use by the application of resource nodes in the grid environment according to the profile, such that the application continues to operate when suboptimal conditions arise in the grid environment.

Maintaining application operations within a suboptimal grid environment

A service composition environment is used to create a collaborative application that links services, composite services as well as with other collaborative applications. An application that is created using the service composition environment may include any combination of composite services, individual services and aggregated composite services. Metadata is obtained from the services that includes functional and non-functional policies, governance regulations, management aspects, and programmable binding information that relates to the services.

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Poughkeepsie, NY, United States of America

Joshy Joseph