International Business Machines Corporation

Kamal Bhattacharya

Praveen Jayachandran

Akshat Verma

Xiaolan Zhang

Marcel Schlatter

Birgit Monika Pfitzmann

Lakshminarayanan Renganarayana

Komminist S Weldemariam

Florian Graf

Nikolai A Joukov

Vasanth Bala

Thomas Diethelm

Jonathan Lenchner

Norbert George Vogl

Brian L Peterson

Balaji Viswanathan

Rema Ananthanarayanan

Matthew A Markley

Kristiann J Schultz

Charity Wayua

Bharat Krishnamurthy

Alan Kalton

Murthy V Devarakonda

Harigovind Venkatraj Ramasamy

Christopher Ward

Jim Alain Laredo

Heiko Hary Ludwig

Pankaj Dhoolia

John Joseph Rofrano

Yixin Diao

Nirmit V Desai

Robert Filepp

Eric James Barkie

Pietro Mazzoleni

Santhosh Babu Kumaran

Shubir Kapoor

Mitchell Adam Cohen

Jing Luo

Gerhard A Widmayer

Kunwadee Sripanidkulchai

Stefan Tai

Jakka Sairamesh

Michael Tacci

Colm V Malone

Deepak Kumar Jeswani

John K Baker

Harigovind Ramasamy

Kevin David Galloway

Kewei Sun

Steve N Lee

Karen Cheng

Prashant Jain

Hsiao Choong Thio

James R Barros

Bruno Wasserman

Louis E Aiken

Robert P Boettcher

Timothy P Kane, Sr

Anthony G D Walker

James R S Barros, Ii

David L Westerman

Christopher C Young

Aasish Behera

Liliana Pasquale

The disclosure provides systems and methods for generating attendance census models using data received from a network of automated census sensors as well as various additional secondary data sources. The models may be generated and used in real time to provide attendance predictions, to efficiently allocate resources, and to detect fraud, among many other uses.

System and method for creating a census hub in resource constrained regions

The disclosure provides systems and methods for maintaining integrity of documents and activities associated with examinations. The systems and methods store such activities and documents in a distributed blockchain such that integrity is maintained through transparency and redundancy of the records and activities. The systems monitor for any anomalies and notify appropriate individuals when an anomaly is detected, as well as maintaining a log of such anomalies.

System and method for detecting anomalies in examinations

During a process of migrating a source system into a standardized virtual environment, virtual machine instances of the source system executing in a hypervisor are snapshotted as virtual machine images in an operational repository of the hypervisor. The virtual machine images in the operational repository are short-term snapshots. From time to time during the migration process, long-term snapshots of the source system are created by checking given ones of the virtual machine images from the hypervisor operational repository into an image library as image objects.

Use of snapshots to reduce risk in migration to a standard virtualized environment

An arbitrary customer instance is transferred from a customer environment to a target managed-infrastructure-as-a-service cloud environment as a transferred image. An image adjustment plan, capturing at least one adjustment required to render the transferred image compliant with standards of the target managed-infrastructure-as-a-service cloud environment, is formulated. The image adjustment plan is executed to adjust the transferred image to obtain an adjusted image compliant with standards of the target managed-infrastructure-as-a-service cloud environment. The adjusted image is on-boarded into the managed-infrastructure-as-a-service cloud environment as a standard image thereof.

Adjustment to managed-infrastructure-as-a-service cloud standard

A method and system for discovering dependencies, configurations and utilizations among IT resources are disclosed. A discovery team writes a prediscovery script without requesting credentials and sends it to a system administrator (SA) who already has necessary credentials to execute the prediscovery script. Then, the SA reviews the prediscovery script and executes the prediscovery script on a target server. While or after executing the prediscovery script, the target server generates a result of an execution of the prediscovery script and provides the result to an analysis system. The analysis system analyzes and parses the result and generates a user-friendly data (e.g., graph or spreadsheet) that represents the result. Then, the analysis system provides the user-friendly data to the discovery team. The analysis system does not require credentials and does not directly communicate with the target server except receiving the result of the executed prediscovery script from the target server.

Process and system for comprehensive IT discovery without credentials

A foreign instance is transferred from a customer environment to a target infrastructure-as-a-service cloud environment as an image. The foreign instance is adjusted to standards of the infrastructure-as-a-service cloud environment to obtain an adjusted instance. The adjusted instance is registered into a management system of the infrastructure-as-a-service cloud environment.

Migration to managed clouds

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

Techniques, systems, and articles of manufacture for automatically propagating updates in a data center. A method includes dividing multiple virtual machines in a data center into one or more equivalence classes, wherein each equivalence class is based on a signature corresponding to an offline, online and/or manual update, automatically creating an offline and/or online virtual machine manifest for a first virtual machine of the multiple virtual machines based on one or more file system changes during the offline, online and/or manual update for the first virtual machine, wherein said manifest is applicable to each additional virtual machine in the same equivalence class as the first virtual machine, and applying the offline and/or online virtual machine manifest for the first virtual machine to the remaining multiple virtual machines in the same equivalence class to automatically update the remaining multiple virtual machines in the same equivalence class.

Grouping and automatically propagating updates to equivalent online and offline virtual machines in a data center

Data characterizing a source computing environment having at least one hardware resource and at least one workload is obtained, as is a specification of a target computing environment to which the at least one workload is to be migrated in a migration. Based on the data characterizing the source computing environment and the specification of the target computing environment, the migration is categorized into one of a plurality of categories; and the migration is specified in accordance with a migration technique selected based on the categorizing step. Techniques to identify suitable migration candidates are also provided.

Systematic migration of workload based on classification

The present invention describes a method and system for preparing a migration and consolidation of at least one source application to be migrated to or consolidated in at least one heterogeneous server device. A computing system selects at least one prospective target platform component based on an evaluation of at least one source platform component, a requirement of the at least one source application, and a compatibility and an affinity of the at least one prospective target platform component. The computing system collects first metadata of the at least one source platform component and the at least one prospective target platform component. The computing system collects second metadata associated with the migration and consolidation. The computing system groups the first metadata and the second metadata into a RFM (Request For Migration). The computing system prepares and configures a final target platform in accordance with the RFM.

Assisting server migration

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Nairobi, Kenya

Kamal Bhattacharya