Abstract: A Virtual Machine (VM) is created utilizing a virtual Operating System (OS) disk and virtual application disks, each of which may be from disparate third party suppliers. One or more files in the virtual application disk are then linked to a specific file system location (node) in the virtual OS disk.

Abstract: The present invention includes a method for resource optimization of map/reduce computing in a computing cluster. The method can include receiving a computational problem for processing in a map/reduce module, subdividing the computational problem into a set of sub-problems and mapping a selection of the sub-problems in the set to respective nodes in a computing cluster, for example a cloud computing cluster, computing for a subset of the nodes in the computing cluster a required resource capacity of the subset of the nodes to process a mapped one of the sub-problems and an existing capacity of the subset of the nodes, and augmenting the existing capacity to an augmented capacity when the required resource capacity exceeds the existing capacity, and when a cost of augmenting the existing capacity to the augmented capacity does not exceed a penalty for breaching a service level agreement (SLA) for the subset of the nodes.

Abstract: Embodiments of the present invention provide a method, system and computer program product for holistic task scheduling in a distributed computing environment. In an embodiment of the invention, a method for holistic task scheduling in a distributed computing environment is provided. The method includes selecting a first task for a first job and a second task for a different, second job, both jobs being scheduled for processing within a node a distributed computing environment by a task scheduler executing in memory by at least one processor of a computer.

Abstract: A request for content is received at a content server via a first network connection from a client device. The content includes a set of portions represented within a root document. Based upon a download constraint of at least one portion of the content and a network characteristic of the first network connection, at least one portion of the content is deferred for download over a network connection other than the first network connection. The content is sent with each deferred portion of the content replaced with a content stub within the root document. Each content stub identifies the respective portion of the content as a deferred portion of the content and includes a content identifier of the respective deferred portion of the content.

Abstract: A request for content is received at a content server via a first network connection from a client device. The content includes a set of portions represented within a root document. Based upon a download constraint of at least one portion of the content and a network characteristic of the first network connection, at least one portion of the content is deferred for download over a network connection other than the first network connection. The content is sent with each deferred portion of the content replaced with a content stub within the root document. Each content stub identifies the respective portion of the content as a deferred portion of the content and includes a content identifier of the respective deferred portion of the content.

Abstract: A computing device associated with a cloud computing environment identifies a first worker cloud computing device from a group of worker cloud computing devices with available resources sufficient to meet required resources for a highest-priority task associated with a computing job including a group of prioritized tasks. A determination is made as to whether an ownership conflict would result from an assignment of the highest-priority task to the first worker cloud computing device based upon ownership information associated with the computing job and ownership information associated with at least one other task assigned to the first worker cloud computing device. The highest-priority task is assigned to the first worker cloud computing device in response to determining that the ownership conflict would not result from the assignment of the highest-priority task to the first worker cloud computing device.

Abstract: Embodiments of the present invention provide a method, data processing system and computer program product for mobility aware cloud provisioning. In an embodiment of the invention, a method for mobility aware provisioning of access to a service instance executing in a host in a cloud computing can include receiving a request from a mobile computing device for access to a service in a cloud computing environment. Thereafter, an expected path of travel for the mobile computing device can be computed and a particular instance of the service executing in memory of a host in the cloud computing environment can be selected for its proximity to the expected path of travel. Finally, the particular instance of the service can be provisioned for access by the mobile computing device.

Abstract: Embodiments of the present invention provide a method, system and computer program product for network aware provisioning in a mobility supporting cloud computing environment. In an embodiment of the invention, a method for network aware provisioning in a mobility supporting cloud computing environment is provided. In the method, a request is received from a mobile computing device for access to a service in a cloud computing environment and both an expected path of travel for the mobile computing device and also a network access speed along the expected path of travel is determined. Thereafter, a particular instance of the service executing in a host in the cloud computing environment able to accommodate a degree of interaction between the mobile computing device resulting from the network access speed determined for the expected path of travel is selected. Finally, the particular instance of the service is provisioned for access by the mobile computing device.

Abstract: Popular object requests are handled using a front-end cache, and hashing is applied only to the requests in the stream that were not handled by the front-end cache. A cache (e.g., a web proxy cache) is placed in front of a Level 7 switch and services the popular requests from the cache based on the content of the request (e.g., based on the portion of an HTTP request following the domain name). The remaining requests are hashed and then routed to the back-end server. Requests that make it past the cache are still routed to the back-end server. A Level 4 switch is placed in front of a plurality of web proxy caches, each of which are in turn placed in front of a respective Level 7 switch, each of which are connected to a respective server farm, so that incoming web requests are handled on a round robin basis (or other SLB technique) before being sent to the cache.

Abstract: A service request routing system and method includes a model table configured to store resource models. A monitor is coupled to the model table and programmed both to model resource consumption in a service providing infrastructure, and also to store the modeled resource consumption in the model table. A router is coupled to the model table, and the router is programmed to route each service request to a corresponding service instance disposed in an associated service host having a service providing infrastructure. The associated service host includes a grid host in a grid computing system.

Abstract: Embodiments of the present invention include a method for resource optimization of map/reduce computing in a computing cluster. The method can include receiving a computational problem for processing in a map/reduce module, subdividing the computational problem into a set of sub-problems and mapping a selection of the sub-problems in the set to respective nodes in a computing cluster, for example a cloud computing cluster, computing for a subset of the nodes in the computing cluster a required resource capacity of the subset of the nodes to process a mapped one of the sub-problems and an existing capacity of the subset of the nodes, and augmenting the existing capacity to an augmented capacity when the required resource capacity exceeds the existing capacity, and when a cost of augmenting the existing capacity to the augmented capacity does not exceed a penalty for breaching a service level agreement (SLA) for the subset of the nodes.

Abstract: Embodiments of the present invention provide a method, system and computer program product for holistic task scheduling in a distributed computing environment. In an embodiment of the invention, a method for holistic task scheduling in a distributed computing environment is provided. The method includes selecting a first task for a first job and a second task for a different, second job, both jobs being scheduled for processing within a node a distributed computing environment by a task scheduler executing in memory by at least one processor of a computer. The method also can include comparing an estimated time to complete the first and second jobs. Finally, the first task can be scheduled for processing in the node when the estimated time to complete the second job exceeds the estimated time to complete the first job. Otherwise the second task can be scheduled for processing in the node when the estimated time to complete the first job exceeds the estimated time to complete the second job.

Abstract: An improved load balancing method, system, and computer program product handles popular object requests using a front-end cache, and hashing is applied only to the requests in the stream that were not handled by the front-end cache. A cache (e.g., a web proxy cache) is placed in front of a Level 7 switch, such that the cache services the popular requests from the cache based on the content of the request (e.g., based on the portion of an HTTP request following the domain name). The remaining requests are hashed and then routed to the back-end server. This allows the requests that make it past the cache to still be routed to the back-end server and take advantage of the efficiencies provided therefrom.

Abstract: An improved load balancing method, system, and computer program product handles popular object requests using a front-end cache, and hashing is applied only to the requests in the stream that were not handled by the front-end cache. A cache (e.g., a web proxy cache) is placed in front of a Level 7 switch, such that the cache services the popular requests from the cache based on the content of the request (e.g., based on the portion of an HTTP request following the domain name). The remaining requests are hashed and then routed to the back-end server. This allows the requests that make it past the cache to still be routed to the back-end server and take advantage of the efficiencies provided therefrom.

Abstract: Under the present invention, the performance of a set of system resources is monitored in response to incoming request traffic. When a system resource is approaching an overload condition, a corrective action is identified and implemented. Overload thresholds for each system resource and appropriate corrective actions are contained within a management policy. Based on a performance history of the corrective actions, the management policy can be changed/revised.

Abstract: A service request routing system and method includes a model table configured to store resource models. A monitor is coupled to the model table and programmed both to model resource consumption in a service providing infrastructure, and also to store the modeled resource consumption in the model table. A router is coupled to the model table, and the router is programmed to route each service request to a corresponding service instance disposed in an associated service host having a service providing infrastructure. The associated service host includes a grid host in a grid computing system.

Abstract: Under the present invention, the performance of a set of system resources is monitored in response to incoming request traffic. When a system resource is approaching an overload condition, a corrective action is identified and implemented. Overload thresholds for each system resource and appropriate corrective actions are contained within a management policy. Based on a performance history of the corrective actions, the management policy can be changed/revised.

Abstract: A computing device associated with a cloud computing environment identifies a first worker cloud computing device from a group of worker cloud computing devices with available resources sufficient to meet required resources for a highest-priority task associated with a computing job including a group of prioritized tasks. A determination is made as to whether an ownership conflict would result from an assignment of the highest-priority task to the first worker cloud computing device based upon ownership information associated with the computing job and ownership information associated with at least one other task assigned to the first worker cloud computing device. The highest-priority task is assigned to the first worker cloud computing device in response to determining that the ownership conflict would not result from the assignment of the highest-priority task to the first worker cloud computing device.

Abstract: A service request routing system and method includes a model table configured to store resource models. A monitor is coupled to the model table and programmed both to model resource consumption in a service providing infrastructure, and also to store the modeled resource consumption in the model table. A router is coupled to the model table, and the router is programmed to route each service request to a corresponding service instance disposed in an associated service host having a service providing infrastructure. The associated service host includes a grid host in a grid computing system.

Abstract: A method for the autonomic management of autonomic systems can include monitoring a managed system and recommending a course of action to be performed in the managed system. It can be determined whether the recommended course of action has been performed by an administrator. Responsive to the determination, it further can be determined whether an outcome from the course of action comports with a predicted outcome. If so, a point count can be changed responsive to a further determination that the outcome from the course of action comports with the predicted outcome. Conversely, the point count can be oppositely changed responsive to a further determination that the outcome from the course of action does not comports with the predicted outcome. In any case, when the point count crosses a threshold value, the management of the managed system can be transitioned to an adaptive component.