International Business Machines Corporation

Lenovo (singapore) Pte. Ltd.

Lenovo Global Technology (united States) Inc.

Other

Jeffery J Van Heuklon

Alexandru Cozma

Fred Allison Bower, Iii

Jeffrey Alan Frey

Michael D Williams

Harvey Gene Kiel

Sumeet Kochar

Steve Richard White

John Elliott Arwe

James G McLean

Ioana Voicu

Randal Lee Bertram

James A O'Connor

Gregory Brian Pruett

Cale T Rath

Boas Betzler

Caihong Zhang

Scott Alan Piper

Randolph Scot Kolvick

Douglas Andrew Wood

Stephen T Eagen

Raymond F Romon

Vikas Ahluwalia

Leah J Busboom

Jerry Don Ackaret

Jeffrey Earl Remfert

Wilson Earl Smith

Robert M Dunn

Charles Christian Queen

Susan E Goodwin

Ionut Dobre

Bridget Marie Meyer

Bogdan Popa

Andrew T Van Heuklon

Jeremy R Bauer

A method for detecting identity theft or identity change in managed computing systems is disclosed. An apparatus and computer program product also perform the functions of the method. The method includes identifying that a unique identifier of a first computing device assigned a first IP address matches a unique identifier of a second computing device assigned a second IP address and, in response to identifying that the unique identifier of the first computing device matches the unique identifier of the second computing device, sending a test message to the first computing device using the first IP address. The method includes sending an alert of a possible malicious event in response to receiving a response to the test message and sending an alert of a possible misconfiguration in response to a failure to receive a response to the test message.

Detecting identity theft or identity change in managed systems

A computer program product includes program instructions configured for execution by a processor to perform various operations. The operations include accessing a system resource database including, for each of a plurality of disaggregated computing hardware resources within a composable computing system, hardware characteristics that describe the disaggregated computing hardware resource, wherein the hardware characteristics include a physical location of the disaggregated computing hardware resource. The operations further include identifying a first workload request that requests performance of a first workload, identifying a physical location requirement for the first workload, selecting a subset of the disaggregated computing hardware resources to be included in a first computing subsystem for performance of the first workload in compliance with the physical location requirement for the first workload, provisioning of the first computing subsystem, and assigning the first computing subsystem to perform the first workload.

Provisioning a computing subsystem with disaggregated computing hardware resources selected in compliance with a physical location requirement of a workload

A method for creation of a secured connection for an inoperable virtual machine includes receiving a token at an on-host service running on an inoperable virtual machine ('VM') on a server. The token is generated by a remote service person. The method includes receiving a user generated password from a user having direct access to the on-host service. The method includes creating a secured connection, using the token and password, between the on-host service and a remote server of the service person. The method includes transmitting a VM identifier of the inoperable VM to the user and receiving communications from the remote server. The communications include commands for the inoperable VM. The service person accesses the on-host service and inoperable VM using the VM identifier and the password. The password and VM identifier are transmitted to the service person by the user via a channel separate from the secured connection.

Remote secured console over a secured connection for inoperable virtual machine

A computer program product may cause a processor to perform various operations in a composable computing system. The operations may include accessing a system resource database including, for each of a plurality of disaggregated computing hardware resources within the composable computing system, data corresponding to hardware characteristics for the hardware resource and a power domain characteristic of a power domain that supplies power to the hardware resource. The operations may further include identifying a workload request that requests performance of a workload and identifying a power domain requirement for the workload. Still further, the operations may include selecting a subset of the disaggregated computing hardware resources to be included in a first computing subsystem, wherein each hardware resource selected to be included in the first computing subsystem complies with the identified power domain requirement for the workload, provisioning of the first computing subsystem, and assigning the first computing subsystem to perform the workload.

Provisioning a computing subsystem including disaggregated hardware resources that comply with a power domain requirement for a workload

Apparatuses, methods, systems, and program products are disclosed for analytics-based anomaly detection. An apparatus includes a processor and a memory that stores code executable by the processor. The code is executable by the processor to receive measurement data for a component of a device, determine a compression rate of the received measurement data by applying a compression algorithm to the measurement data, and generate an alert indicating a possible anomaly in an operation of the component represented by the measurement data in response to the determined compression rate satisfying a threshold compression rate for the at least one condition of the component.

Analytics-based anomaly detection

A method includes identifying maximum and minimum values in an input data set after a request to display data from the data set, which is remote and includes many entries with a first and a second value. First values are ordered sequentially and maximum and minimum values are second values. The method subtracts the minimum value from the maximum value to find a height, determines a target data amount for downloading to display to satisfy interface quality experience criteria, and calculates a difference level for a compression algorithm. The compression algorithm uses the difference level to select input data set entries for a compressed data set and is based on the input data set, the target data amount and the height. The method includes processing the input data set with the compression algorithm and the difference level to create the compressed data set, and transmitting the compressed data set.

User interface experience by compressing metrics and allowing customization of metrics compression for detailed analytics

An apparatus for a license orchestrator to most efficiently distribute fee-based licenses includes a processor and a memory that stores code executable by the processor to determine that a workload is scheduled to be executed by a computing device. The computing device includes a licensable resource available for execution of the workload. The code is executable to compare a per-use licensing cost associated with using the licensable resource for execution of the workload with a cost of using existing capabilities of the computing device for execution of the workload and license and use the licensable resource for execution of the workload in response to determining that the per-use licensing cost of the licensable resource is less than using the existing capabilities of the computing device.

License orchestrator to most efficiently distribute fee-based licenses

A method for installing and using hardware specific plugins to a monitoring application includes installing, by use of a processor, a hardware specific plugin to a monitoring application that monitors health of a monitored computing system. The plugin corresponds to a hardware device of the monitored computing system monitored by the monitoring application. The plugin includes analytics rules corresponding to hardware parameters monitored within the hardware device and received by a server comprising the processor and running the monitoring application. The method includes receiving, by use of a processor, data corresponding to the hardware parameters of the hardware device, applying, by use of a processor, the analytics rules of the plugin to the received data of the monitored hardware parameters of the hardware device, and sending, by use of a processor, an alert in response to determining that the received data violates an analytics rule of the plugin.

Framework for hardware-specific analytic plugins

An apparatus and a computer program product include a non-volatile computer readable medium and non-transitory program instructions embodied therein, the program instructions being configured to be executable by a processor to cause the processor to perform operations. The operations may include running a web server on a virtual machine that is running software application and an operating system that supports the software application, causing the operating system to obtain and provide service data for the software application after failure of the software application, causing the web server to receive the service data from the operating system, and causing the web server to send the obtained service data to an entity that is outside the virtual machine.

Using a web server to obtain service data for a failed software application

Transferring workloads between computing devices in a distributed computing system, including: receiving, by a mobile computing device via a proximity-based communications protocol, a first computing device identity; receiving, by the mobile computing device, information describing one or more workloads executing on the first computing device; identifying, by the mobile computing device, a second computing device in the distributed computing system that is capable of executing at least a portion of the one or more workloads executing on the first computing device; and initiating, by the mobile computing device, a transfer of at least a portion of the one or more workloads executing on the first computing device to the second computing device.

Transferring workloads between computing devices in a distributed computing system

A method, system, and computer usable program product for discovering an equipment power connection relationship between an equipment and an electrical power outlet. A workload executing on the equipment is monitored for a period resulting in monitoring data. The Metering data associated with a first power outlet in a plurality of power outlets is searched, the metering data representing electrical power drawn from a power outlet over the period. A determination is made whether the monitoring data matches with the metering data associated with the first power outlet. If a match is determined, a relationship is identified between the equipment and the first power outlet, whereby the first power outlet is known to supply electrical power to the equipment.

Discovering an equipment power connection relationship

Effects of a physical memory fault are mitigated. In one example, to facilitate mitigation, memory is allocated to processing entities of a computing environment, such as applications, operating systems, or virtual machines, in a manner that minimizes impact to the computing environment in the event of a memory failure. Allocation includes using memory structure information, including, information regarding fault containment zones, to allocate memory to the processing entities. By allocating memory based on fault containment zones, a fault only affects a minimum number of processing entities.

Physical memory fault mitigation in a computing environment

Embodiments include a power-efficient failover method. The method includes operating a primary server at a normal operating state in which program code is executed, and dynamically generating a backup of the results of the executed program code while in the normal operating state. The method further includes operating a redundant server at a reduced power state in which less power is consumed than in the normal operating state of the primary server. The workload of the primary server may be assumed according to the backup in response to a failure of the primary server. The power state of the redundant server is managed, including maintaining the redundant server in the reduced power state prior to detecting a failure of the primary server and increasing the power state of the redundant server and assuming the workload of the primary server in response to the failure of the primary server.

Reduced power failover

One embodiment provides a power management method for servers in a data center. A group of servers is selected, and the total power allocated to a group of servers is limited to within a group power budget. A separate server power allocation is individually requested for each of a plurality of the servers. Within the constraints of the group power budget, the requested server power allocations are selectively granted for a specified magnitude and duration. The granted server power allocations are also selectively renewed, either automatically or upon request of the servers. Each server that has not received a renewed server power allocation from a group power management entity upon the expiration of the specified duration automatically reduces its own power consumption, such as by the server powering itself off.

Server power management with automatically-expiring server power allocations

A system for managing topologies includes a topology data datastore that stores topology information. A topology computer element interfaces with the topology data datastore to create and update a topology of resources. A subscription computer element generates notifications to a user based on at least one of the creating and the updating of the topology of resources and further based on subscription data.

Growing community of inventors

Rochester, MN, United States of America

Jeffery J Van Heuklon