Abstract: A method and system include replicating an image representing a sequence of bytes on a local storage medium on a target device by determining a similarity between images and reconstructing a new image using equivalent blocks from one or more similar images locally available on the target device or available on donor devices to reduce network link usage and transfer time in replicating the image.

Abstract: A method for scaling a cloud infrastructure, comprises receiving at least one of resource-level metrics and application-level metrics, estimating parameters of at least one application based on the received metrics, automatically and dynamically determining directives for scaling application deployment based on the estimated parameters, and providing the directives to a cloud service provider to execute the scaling.

Abstract: A method for scaling a cloud infrastructure, comprises receiving at least one of resource-level metrics and application-level metrics, estimating parameters of at least one application based on the received metrics, automatically and dynamically determining directives for scaling application deployment based on the estimated parameters, and providing the directives to a cloud service provider to execute the scaling.

Abstract: A method and system include replicating an image representing a sequence of bytes on a local storage medium on a target device by determining a similarity between images and reconstructing a new image using equivalent blocks from one or more similar images locally available on the target device or available on donor devices to reduce network link usage and transfer time in replicating the image.

Abstract: A system and method for transforming a legacy device into a virtualized environment, comprising includes analyzing the profiling data for at least one application to determine usage frequency and resource requirements of the at least one application. Captured user events are benchmarked to simulate a user workload for the at least one application to determine how resource utilization and execution times scale from a legacy environment to a virtualized environment. The legacy device is transformed into the virtualized environment in accordance with a provisioning plan.

Abstract: Systems and methods are provided for dynamic metering adjustment for service management of a computing platform. For example, a plurality of virtual machines are provisioned across a plurality of computing nodes of a computing platform. Data samples are collected for a metric that is monitored with regard to resource utilization in the computing platform by the virtual machines. The data samples are initially collected at a predefined sampling frequency. The data samples collected over time for the metric are analyzed to determine an amount of deviation in values of the collected data samples. A new sampling frequency is determined for collecting data samples for the metric based on the determined amount of deviation. The new sampling frequency is applied to collect data samples for the metric, wherein the new sampling frequency is less than the predefined sampling frequency.

Abstract: A method for scaling a cloud infrastructure, comprises receiving at least one of resource-level metrics and application-level metrics, estimating parameters of at least one application based on the received metrics, automatically and dynamically determining directives for scaling application deployment based on the estimated parameters, and providing the directives to a cloud service provider to execute the scaling.

Abstract: A method for scaling a cloud infrastructure, comprises receiving at least one of resource-level metrics and application-level metrics, estimating parameters of at least one application based on the received metrics, automatically and dynamically determining directives for scaling application deployment based on the estimated parameters, and providing the directives to a cloud service provider to execute the scaling.

Abstract: A system and method for efficiently transferring virtual machine images across nodes in a cloud computing environment, includes analyzing each image on each node to create hash code clusters and a similarity matrix. An instruction to transfer an image from a source node to a target node is received. The clusters and the similarity matrix are used to determine to what extent the data from the image is already on the source node, or on any other node, and further determines the cost and speed of transferring such data to the target node. An optimal transfer plan is generated, and data that is not already on the target node is transferred to the target node from the most efficient node on which it is available, according to the optimal transfer plan.

Abstract: A system and method for efficiently transferring virtual machine images across nodes in a cloud computing environment, includes analyzing each image on each node to create hash code clusters and a similarity matrix. An instruction to transfer an image from a source node to a target node is received. The clusters and the similarity matrix are used to determine to what extent the data from the image is already on the source node, or on any other node, and further determines the cost and speed of transferring such data to the target node. An optimal transfer plan is generated, and data that is not already on the target node is transferred to the target node from the most efficient node on which it is available, according to the optimal transfer plan.

Abstract: A computer-implemented method or real-time measurement of a user interface performance in a remote desktop environment is provided. The computer-implemented method may include host computer receiving a command data package and a client request time from client computer, where the client request time is a timestamp of a time at which the command data package was sent from client computer to host computer. The computer-implemented method may further include host computer recording the client request time and a request arrival time, where the request arrival time is a timestamp of a time at which the command data package was received by host computer. The computer-implemented method may further include host computer calculating a first traverse time, where the first traverse time is a time difference between the client request time and the request arrival time to determine a real-time measurement of a user interface performance in the remote desktop environment.

Abstract: A system and method for transforming a legacy device into a virtualized environment, comprising includes analyzing the profiling data for at least one application to determine usage frequency and resource requirements of the at least one application. Captured user events are benchmarked to simulate a user workload for the at least one application to determine how resource utilization and execution times scale from a legacy environment to a virtualized environment. The legacy device is transformed into the virtualized environment in accordance with a provisioning plan.

Abstract: Techniques are disclosed for integration, provisioning and management of entities and processes in a computing system such as, by way of example only, business entities and business processes. In particular, techniques are disclosed for ontology based resource provisioning and management for services. For example, such an ontology based approach can be utilized in conjunction with a business support system which may be employed in conjunction with a cloud computing environment.

Abstract: A method for scaling a cloud infrastructure, comprises receiving at least one of resource-level metrics and application-level metrics, estimating parameters of at least one application based on the received metrics, automatically and dynamically determining directives for scaling application deployment based on the estimated parameters, and providing the directives to a cloud service provider to execute the scaling.

Abstract: Co-locating a virtual machine with nested virtualization, in one aspect, may comprise receiving a list of one or more virtual machine instances to co-locate with associated configuration information. A parent virtual machine instance may be identified to host the one or more virtual machine instances. Virtual machine images associated with the one or more virtual machine instances may be consolidated. A composite parent virtual machine image may be created based on the consolidated virtual machine images and the parent virtual machine instance. The parent virtual machine instance may be configured to accommodate for capacity requirement of the one or more child virtual machine instances. The parent virtual machine instance may be started on a processor via the composite parent virtual machine image. The one or more virtual machine instances may be started within the parent virtual machine instance as one or more child virtual machine instances.

Abstract: One embodiment of a system for provisioning a new virtual machine instance on a target host based on an image of the new virtual machine instance includes a local storage for storing images of virtual machine instances currently running on the target host and a virtual machine creator coupled to the local storage for constructing the image of the new virtual machine instance at least in part using the images of virtual machine instances currently running on the target host.

Abstract: An apparatus for enabling resiliency for cloud computing systems is provided. An apparatus includes a processor and a memory storing computer program code. The memory and the computer program code are configured to, with the processor, cause the apparatus to perform actions. The actions include modifying a topology graph of a network architecture by mapping processes flows onto the topology graph and creating a resiliency graph based on the modified topology graph. The actions also include modifying the resiliency graph by translating at least one SLA into the resiliency graph and identifying overlaps and dependencies in the modified resiliency graph. Apparatus and computer readable instructions are also described.

Abstract: One embodiment of a system for provisioning a new virtual machine instance on a target host based on an image of the new virtual machine instance includes a local storage for storing images of virtual machine instances currently running on the target host and a virtual machine creator coupled to the local storage for constructing the image of the new virtual machine instance at least in part using the images of virtual machine instances currently running on the target host.

Abstract: Techniques are disclosed for integration, provisioning and management of entities and processes in a computing system such as, by way of example only, business entities and business processes. In particular, techniques are disclosed for ontology based resource provisioning and management for services. For example, such an ontology based approach can be utilized in conjunction with a business support system which may be employed in conjunction with a cloud computing environment.

Abstract: One embodiment of a method for provisioning a new virtual machine instance based on the content of an image of the new virtual machine instance includes identifying, from among a plurality of host machines, the host machine having the highest percentage of the content available in local storage, and provisioning the new virtual machine instance on the host machine having the highest percentage of the content available in local storage. Another embodiment of a method for provisioning a new virtual machine instance based on an image of the new virtual machine instance includes constructing at least a portion of the image using data stored locally on a target machine hosting the new virtual machine instance, and completing the image using data obtained over a network from remote storage.