International Business Machines Corporation

Yixin Diao

Maheswaran Surendra

Joseph L Hellerstein

Larisa Shwartz

Adam J Storm

Sam Sampson Lightstone

Christian Marcelo Garcia-Arellano

Alexander M Keller

Aliza Rivka Heching

Sujay Sunil Parekh

Richard Sobiesiak

Ruchi Mahindru

Florian Pinel

Tara Lynn Astigarraga

Chai Wah Wu

Hidayatullah Habeebullah Shaikh

Nirmit V Desai

Robert Filepp

Gargi Banerjee Dasgupta

Karin Murthy

Melissa J Buco

David Matthew Loewenstern

Lisa F Spainhower

Frank N Eskesen

Ronghua Zhang

Xiao Liang Hu

Jeffrey Owen Kephart

Soumitra Sarkar

Asser Nasreldin Tantawi

Marc Adam Kaplan

Xiaolan Zhang

Hai Shan Wu

Rajarshi Das

Joel W Branch

Amitkumar Manoharrao Paradkar

Ea-Ee Jan

Michael Joseph Spreitzer

Lakshminarayanan Renganarayana

Kamal Bhattacharya

Daniele Costante Zilio

Linh Hue Lam

Rui Xiong Tian

Steven E Froehlich

Gary Valentin

Rajeev Puri

Saurabh Bagchi

James Liam Finnie

Matthew James Carroll

Emi K Olsson

David M Northcutt

Denise Y Dyko

Lan Pham

Robert D Kearney

Douglas M Barlett

Harish Dindigal

Bo Forsberg

A method for predicting an impact of a service level agreement including collecting workload data and effort data and constructing a cost model for the service level agreement, defining a baseline service parameter corresponding to the code model of the service level agreement, and calibrating the cost model of the service level agreement, by calibrating a workload volume from the workload data and an effort time from the effort data to match the baseline service parameter, to output a service level agreement impact model.

Service level agreement impact modeling for service engagement

Automatic teller machine network management control system executes a deterministic optimization process based on a deterministic forecasted withdrawal demand to determine a cash refill amount, and executes a stochastic simulation process to determine an overall automatic teller machine network management cost based on a stochastic forecasted withdrawal demand and the cash refill amount. The executing of the deterministic optimization process and the executing of the stochastic simulation process are iterated based on updated scaling parameter from the stochastic simulation process and the cash refill amount determined by the deterministic optimization process at current iteration until a termination threshold is met. A target scaling parameter that minimizes the overall automatic teller machine network management cost out of all iterations is determined, and target cash refill amount and time specification for refilling the automatic teller machine are determined based on executing the deterministic optimization process with the target scaling parameter.

Automated teller machine flow network and control system

In an approach to achieving consistent reporting, one or more processors receive a request to include a set of data analysis and visualization parameters in a distributed ledger, such as the blockchain fabric distributed ledger. One or more processors may determine whether the set of data analysis and visualization parameters is consistent with a set of pre-determined rules recorded in the distributed ledger. One or more processors may additionally store the set of data analysis and visualization parameters in the distributed ledger responsive to determining that the set of data analysis and visualization parameters is consistent with the set of pre-determined rules recorded in the distributed ledger. One or more processors may further generate a report of a first dataset based on the set of data analysis and visualization parameters.

Consistent reporting using blockchain

A method of checking file system compliance including receiving a plurality of compliance rules corresponding to a file system of a production system, collecting, by a collector, file system meta data from the file system, analyzing, by an analyzer, the file system meta data using the plurality of compliance rules to determine at least one compliance deviation of the file system, and throttling the collector and the analyzer independently of one-another, wherein the collector and the analyzer are configured according to a model of performance for the production system and a schedule for the collection and analyzing.

File system compliance checking

In an approach to achieving consistent reporting, one or more processors receive a request to include a set of data analysis and visualization parameters in a distributed ledger, such as the blockchain fabric distributed ledger. One or more processors may determine whether the set of data analysis and visualization parameters is consistent with a set of pre-determined rules recorded in the distributed ledger. One or more processors may additionally perform a corrective action for the set of data analysis and visualization parameters responsive to determining that the set of data analysis and visualization parameters is not consistent with the set of pre-determined rules recorded in the distributed ledger. One or more processors may further store the set of data analysis and visualization parameters in the distributed ledger and generate a report of a first dataset based on the set of data analysis and visualization parameters.

A method for predicting a computerized service delivery organization workload including collecting data of a computer implementing service delivery routine including overlapping samples of load values, overlapping samples of performance values, overlapping samples of event outputs, ticket values and ticket volumes, building a first correlation of said load values with said performance values for predicting new performance values based on new data, building a second correlation of said performance values with said event outputs, said ticket values and said ticket volumes, combining said first and second correlations into a third correlation for correlating said load values with a ticket volume and an event volume, and determining at least one projected event volume or projected ticket volume value using said third correlation and at least one projected load value of said computer.

Predicting service delivery metrics using system performance data

A system for determining asset configuration in a service delivery environment, comprises a simulation module developing a simulation model reflecting features of the service delivery environment, a search module using the simulation model and constraint data to determine a plurality of asset configurations for evaluation, a first evaluation module determining a value of each of the asset configurations, and determining the asset configuration of the plurality of asset configurations that yields a value meeting a predetermined objective, and a second evaluation module determining a deviation from a current configuration that would be caused by each of the asset configurations, and determining the asset configuration that yields a lowest deviation of the plurality of asset configurations, wherein the second evaluation module uses the value meeting the predetermined objective from the first evaluation module as a constraint when determining the asset configuration that yields the lowest deviation.

System and method for determining optimal asset configurations while minimizing disruption to existing business operations in a service delivery environment

An exemplary method for reducing complexity of at least one user task includes steps of calculating a complexity metric for the at least one user task; identifying one or more usability issues having a measurable impact on the complexity metric for the at least one user task; determining one or more recommendations for addressing at least one of the one or more usability issues; and displaying a representation of at least one of the one or more usability issues and of at least one of the one or more recommendations. In an illustrative embodiment, implementing any one of the one or more recommendations reduces the impact of the usability issue on the complexity metric of the at least one user task and thereby reduces a complexity of the at least one user task.

Complexity reduction of user tasks

A computer implemented method delivers information technology services according to a set of service level agreements. A service request class having a largest control error is identified from a plurality of service request classes. The service request priority of the service request class having the largest control error is then increased to form an updated priority. Service requests for the plurality of service request classes are dispatched in a next control iteration based upon the updated priority.

Closed loop performance management for service delivery systems

Techniques are disclosed for quantitatively estimating a value of a given process, such as an IT service management process. For example, a computer-implemented method for estimating a value based on a complexity analysis of a given process comprises a computer performing the following steps. A context for the given process is identified. A baseline for the given process is quantified. The process baseline comprises a key performance indicator and an underlying complexity measure. An improvement measure for the given process is determined. The improvement measure is achieved by at least one of a tooling deployment or a process transformation. A value derived for the given process is estimated based on the context identifying, baseline quantifying, and improvement determining steps.

Estimating value of information technology service management based on process complexity analysis

A method for storing data caveats for databases is described. The method includes storing at least one record in at least one content table in a database. The method includes storing at least one data caveat having a relationship to the content table in at least one record in a caveat table. A data caveat has a relationship to the content table when the data caveat applies to: a record in the content table or the content table in entirety. The method also includes storing, in a memory device, an indication of the relationship. Articles of manufacture are also described.

Data caveats for database tables

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White Plains, NY, United States of America

Yixin Diao