Abstract:
A computer implemented method, apparatus and computer usable program code for dynamically changing allocation policy in a host grid to support a local grid. The host grid is operated according to a set of allocation policies. The set of allocation policies corresponds to a predetermined resource allocation relationship between the host grid and a local grid. Based on the set of allocation policies, at least one resource on the host grid is allocated to the local grid. A monitoring agent is then used to monitor one of the local grid and both the local grid and the host grid for a change in a parameter. A change in the parameter may result in a change in the set of allocation policies.
Abstract:
A technique for efficiently processing resource allocation requests in an on-demand environment. When a user logs into a resource allocation request manager, resource requirements entered are immediately sent to a remote resource manager to permit real-time feedback to the user who is entering the resource requirements. The user can thus reconfigure or otherwise modify the resource requests based on this feedback to optimize the overall resource allocation request. This also allows an organization providing services such as computer hosting services to re-allocate resources in advance if a new resource request would exceed a service level agreement outlined in advance with a customer, thereby improving resource planning in a data center environment. In addition, the dynamic feedback on the new resource request that exceeds a service level agreement can be used to develop a new service level agreement or temporary service offer that addresses the unique resource condition.
Abstract:
Setting up management and monitoring programs on one or more servers is simplified. When a pre-selected monitoring/management vendor is to be used, a general-purpose agent is installed after the vendor agent is installed and can determine the contents of the server(s), then manage additional setup for the vendor agent, such as configurations, best practices, and license management. When the user has not yet determined which vendor or vendors to utilize, a vendor-neutral agent will determine the contents of the server(s) and can then choose between various vendor programs, utilizing weightings according to the strengths and weaknesses of each vendor, as well as user preferences, to determine the best vendor or vendors to select. Any needed vendor agents are then downloaded by the vendor-neutral agent and installed. The vendor-neutral agent also includes the capabilities of the general-purpose agent and manages other setup needs, such as configurations, best practices, and license management.
Abstract:
Setting up management and monitoring programs on one or more servers is simplified. When a pre-selected monitoring/management vendor is to be used, a general-purpose agent is installed after the vendor agent is installed and can determine the contents of the server(s), then manage additional setup for the vendor agent, such as configurations, best practices, and license management. When the user has not yet determined which vendor or vendors to utilize, a vendor-neutral agent will determine the contents of the server(s) and can then choose between various vendor programs, utilizing weightings according to the strengths and weaknesses of each vendor, as well as user preferences, to determine the best vendor or vendors to select. Any needed vendor agents are then downloaded by the vendor-neutral agent and installed. The vendor-neutral agent also includes the capabilities of the general-purpose agent and manages other setup needs, such as configurations, best practices, and license management.
Abstract:
A technique for efficiently processing resource allocation requests in an on-demand environment. When a user logs into a resource allocation request manager, various resource requirements entered are immediately sent to a remote resource manager to allow for dynamic, real-time feedback to the user who is entering the resource requirements as to any issues or concerns regarding the requested resource(s) or plug-in element(s), such as lack of availability. The user can thus reconfigure or otherwise modify the various resource requests based on this feedback to optimize the overall resource allocation request. This also allows an organization providing services such as computer hosting services to re-allocate resources in advance if a new resource request would exceed a service level agreement outlined in advance with a customer, thereby improving resource planning in a data center environment. In addition, the dynamic feedback on the new resource request that exceeds a service level agreement can be used to develop a new service level agreement or temporary service offer that addresses the unique resource condition.