Gregory Jackson

Bio: Gregory Jackson is an academic researcher. The author has contributed to research in topics: Information management & Data management. The author has an hindex of 1, co-authored 1 publications receiving 661 citations.

Systems and methods for resource utilization analysis in information management environments

Abstract: Logging and analysis of resource utilization information may be implemented, for example, to achieve intelligent capacity management of information management system resources. In one implementation, resource utilization information may be collected from one or more subsystems or processing engines of an information management system, and analyzed to gain insights into system performance. System capacity management may be implemented using collected resource utilization information, for example, to achieve dynamic management of system resources.

Display screen or portion thereof with graphical user interface

Abstract: Newness and distinctiveness is claimed in the features of ornamentation as shown inside the broken line circle in the accompanying representation.

System and method of brokering cloud computing resources

Abstract: System, method, and tangible computer-readable storage media are disclosed for providing a brokering service for compute resources The method includes, at a brokering service, polling a group of separately administered compute environments to identify resource capabilities and information, each compute resource environment including the group of managed nodes for processing workload, receiving a request for compute resources at the brokering service system, the request for compute resources being associated with a service level agreement (SLA) and based on the resource capabilities across the group of compute resource environments, selecting compute resources in one or more of the group of compute resource environments The brokering service system receives workload associated with the request and communicates the workload to the selected resources for processing The brokering services system can aggregate resources for multiple cloud service providers and act as an advocate for or a guarantor of the SLA associated with the workload

Sharing a streaming video

Abstract: A video segment can be shared over a computer network by first receiving the video segment at a receiving computer on the network. The receiving computer assures that the video segment is in a streaming video format, and creates at least one identification tag for the video segment. The receiving computer also stores the video segment, and communicates the identification tag to another computer on the network. Upon subsequent receipt of that identification tag, the receiving computer streams the video segment to a destination computer on the network.

Method for caching and delivery of compressed content in a content delivery network

Abstract: A content delivery network (CDN) edge server is provisioned to provide last mile acceleration of content to requesting end users. The CDN edge server fetches, compresses and caches content obtained from a content provider origin server, and serves that content in compressed form in response to receipt of an end user request for that content. It also provides “on-the-fly” compression of otherwise uncompressed content as such content is retrieved from cache and is delivered in response to receipt of an end user request for such content. A preferred compression routine is gzip, as most end user browsers support the capability to decompress files that are received in this format. The compression functionality preferably is enabled on the edge server using customer-specific metadata tags.

Method, system, and program for determining a modification of a system resource configuration

Abstract: Provided are a method, system, and program for managing multiple resources in a system at a service level, including at least one host, network, and a storage space comprised of at least one storage system that each host is capable of accessing over the network. A plurality of service level parameters are measured and monitored indicating a state of the resources in the system. A determination is made of values for the service level parameters and whether the service level parameter values satisfy predetermined service level thresholds. Indication is made as to whether the service level parameter values satisfy the predetermined service thresholds. A determination is made of a modification to one or more resource deployments or configurations if the value for the service level parameter for the resource does not satisfy the predetermined service level thresholds.