International Business Machines Corporation

James K Kochuba

Aaron J Quirk

Rohith Kottamangalam Ashok

Jose I Ortiz

Steven Dale Ims

Ivan M Heninger

Zachary H Jones

Distribution of middleware binary includes: receiving a request to deploy a workload with middleware service(s); selecting a base operating system (OS) image to host the middleware service(s); determining locations of binary file(s) for the middleware service(s) in a repository on a storage system; cloning a virtual disk containing the base OS image on the storage system; and copying the binary file(s) from the locations in the repository into the cloned virtual disk on the storage system. The binary file(s) are copied onto the virtual disk directly on the storage system, without the need to traverse a network interface. The base OS image is augmented with the binary files just prior to the deployment of the virtual machine (VM).

Method to optimize provisioning time with dynamically generated virtual disk contents

A method, system and computer program product for optimizing cloud resources in utilizing a pool of virtual machines to service user workloads. A writeable partition is created to store middleware and user activity associated with a virtual machine obtained from a pool of available virtual machines to be deployed. In response to the obtained virtual machine being terminated, the contents of the created writeable partition are erased so that the data generated by the middleware and user activity will not be available for subsequent users. The virtual machine is later returned to the pool of available virtual machines after resetting its password and network address to a default state. In this manner, fewer cloud resources are used since resource intensive activities that were required in provisioning a new virtual machine can be eliminated since previously terminated virtual machines can be utilized in the pool of available virtual machines.

Returning terminated virtual machines to a pool of available virtual machines to be reused thereby optimizing cloud resource usage and workload deployment time

A method, system and computer program product for dynamically quantifying a demand for the software components deployed in a cloud environment. An administrative server generates a table mapping the software levels of the software components of the deployed software stacks with the number of instances of the deployed software stacks tracked over a period of time. The depth weight based on subtracting a depth index (zero-based) from a depth size is calculated for each software component, where a depth index refers to the software level of the software component in question and a depth size refers to the number of software levels for the software stack bearing the software component in question. A metric used in quantifying the demand for the software component ('popularity index') is then determined for each software component based on the number of deployed instances and the depth weight for that software component.

Dynamically quantifying the demand of each software component of each software stack deployed in the cloud environment

A method, system and computer program product for managing resource utilization of virtual machines in a cloud computing environment. A cloud controller computes an index of the utilization of a resource by a virtual machine to determine its adverse impact on its neighboring virtual machine(s) that share the same resource. If the interference index is greater than a threshold, then the utilization of the resource by that virtual machine will be throttled or reduced provided that the servicing of its workload is not weighted at too high of a priority and that one or more of its neighboring virtual machines are not able to meet their service-level agreement requirements. In this manner, the adversely affected neighboring virtual machines may have its performance restored in meeting their service-level agreement requirements without having to add additional resources and/or be migrated to other areas of the cloud computing environment.

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Raleigh, NC, United States of America

James K Kochuba