摘要:
A method and apparatus for providing a resource allocation policy in a network are disclosed. For example, the method constructs a queuing model for each application. The method defines a utility function for each application and for each transaction type of each application, and defines an overall utility in a system. The method performs an optimization to identify an optimal configuration that maximizes the overall utility for a given workload, and determines one or more adaptation policies for configuring the system in accordance with the optimal configuration.
摘要:
A method and apparatus for providing a resource allocation policy in a network are disclosed. For example, the method constructs a queuing model for each application. The method defines a utility function for each application and for each transaction type of each application, and defines an overall utility in a system. The method performs an optimization to identify an optimal configuration that maximizes the overall utility for a given workload, and determines one or more adaptation policies for configuring the system in accordance with the optimal configuration.
摘要:
The present disclosure relates to dynamically allocating multitier applications based upon performance and reliability of resources. A controller analyzes resources and applications hosted by the resources, and collects operational data relating to the applications and resources. The controller is configured to determine an allocation scheme for allocating or reallocating the applications upon failure of a resource and/or upon rollout or distribution of a new application. The controller generates configuration data that describes steps for implementing the allocation scheme. The resources are monitored, in some embodiments, by monitoring devices. The monitoring devices collect and report the operational information and generate alarms if resources fail.
摘要:
The present disclosure relates to dynamically allocating multitier applications based upon performance and reliability of resources. A controller analyzes resources and applications hosted by the resources, and collects operational data relating to the applications and resources. The controller is configured to determine an allocation scheme for allocating or reallocating the applications upon failure of a resource and/or upon rollout or distribution of a new application. The controller generates configuration data that describes steps for implementing the allocation scheme. The resources are monitored, in some embodiments, by monitoring devices. The monitoring devices collect and report the operational information and generate alarms if resources fail.
摘要:
An embodiment generally relates to systems and methods for improving system performance by reducing fragility of computing systems. A processing module can identify separate ensemble files each comprising interpretations, by separate entities of a workflow, of a phrase in a file. The processing module can compare the interpretations to determine if the interpretations are the same or essentially the same. If the interpretations are neither the same nor essentially the same, a subsequent entity in the workflow can create a new file that replaces an associated interpretation of the phrase with a common interpretation. The subsequent entity can proceed with an intended operation.
摘要:
A method for computing the energy rating for cloud-based software services is disclosed. For each of the service, following steps are performed. The method includes identifying configuration parameters impacting the energy consumption. The method further includes determining a value for each configuration parameter. Further, the method includes determining a relative energy rating using a pre-determined equation, based on the values of the configuration parameter. Finally, the method includes assigning a discrete value based on the range of the relative energy rating.
摘要:
A method, a system and a computer program product for handling requests in a network are disclosed. A load pattern at a first service component is extracted. A capacity and pending requests at the first service component are calculated based on the load pattern. Thereafter, an insertion delay is calculated based on the capacity, pending requests, and a time period required to increase the capacity by applying various alternative adaptation techniques. The insertion delay is then distributed among a plurality of upstream service components.
摘要:
A service workflow including ordered services is received, and a heuristic utility value is calculated for each service. A best node having a smallest heuristic utility value for a service is selected, and a best node identifier is placed in a node list. If the best node includes a parallel sub-workflow, potential next nodes are identified by generating potential next nodes from a data center that can perform a service associated with the best node with a minimum run-time value. Otherwise, potential next nodes are generated based on a data center associated with the service. A heuristic utility value is determined for each potential next node, and a new best node is selected based on the heuristic utility values. The identifying, determining, and selecting operations are repeated until the best node contains only the last ordered service. Data centers for each ordered service are identified based on the best node.
摘要:
A method for computing the energy rating for cloud-based software services is disclosed. For each of the service, following steps are performed. The method includes identifying configuration parameters impacting the energy consumption. The method further includes determining a value for each configuration parameter. Further, the method includes determining a relative energy rating using a pre-determined equation, based on the values of the configuration parameter. Finally, the method includes assigning a discrete value based on the range of the relative energy rating.
摘要:
Methods and systems for partitioning data for processing in a plurality of data centers are disclosed. For each of a plurality of data centers, a time period required for the data center to process an amount of information may be estimated. The plurality of data centers may be ordered based on the time period for each data center. Data may be received from one or more sources. A data center having a smallest time period from the ordered plurality of data centers may be selected to be added to a set of data centers. An overall execution time for the set of data centers to process the data may be determined. The selecting and determining operations may be repeated until the overall execution time satisfies one or more threshold criteria. The data may be transmitted to the set of data centers.