Abstract:
Disclosed are the methods for scheduling a task including at least one sub-task, on one or more computing devices in a distributed computing environment. A set of computing devices are identified from the one or more computing devices, based on an availability of a set of computational resources on the set of computing devices. Each computing device in the set of computing devices is ranked based on at least one of a monetary cost or a network cost, associated with the execution of the at least one sub-task on the each computing device. The at least one sub-task is allocated to at least one computing device from the set of computing devices for execution based on at least one of the ranking or an acceptable success probability associated with the execution of the at least one sub-task.
Abstract:
There is provided systems and methods for creating a repository of templates. The templates are deterministic of a configuration a virtual machine. The method includes creating one or more templates for each of one or more applications types based on a benchmark data. Each of the one or more templates is stored in a hierarchal structure having one or more hierarchal levels. Each of the one or more hierarchal levels is indicative of a parameter of the configuration of the virtual machine. Thereafter, one or more rules are defined to traverse through the one or more hierarchal levels to access the one or more templates.
Abstract:
Methods and systems for determining prices of customized virtual machines required to process customer-specified workloads are disclosed. A count of instances of the customized virtual machines, required to process the customer-specified workloads is determined, based on a configuration of the customized virtual machines. The instances of the customized virtual machines are consolidated on virtual machine servers. Further, the prices of the customized virtual machines are determined based on a count of the virtual machine servers, unused resources in the virtual machine servers, and unused resources in the customized virtual machines. The determined prices are recommended to the customer. Further, at least one of the prices of the customized virtual machines or the configuration of at least one or more customized virtual machines is modified, based on a response to the recommendation received from the customer.
Abstract:
The disclosed embodiments illustrate methods and systems for transmitting information generated for one or more events. The method includes receiving queries from subscribers. The method includes receiving said information pertaining to said one or more events from sensors. Thereafter, the method includes transmitting said information pertaining to said one or more events to said subscribers based on a first boundary condition and a second boundary condition. The information pertaining to said one or more events is transmitted using a first technique when at least a number of events in said one or more events satisfy said first boundary condition. Further, the information pertaining to said one or more events is transmitted using a second technique when at least said number of events in said one or more events satisfy said second boundary condition. The method is performed by said one or more microprocessors in a notification distribution server.
Abstract:
A method and system to determine a computational resource requirement is described. The method and system rank one or more computational resources for each of the plurality of tasks in an ascending order, based on a cost associated with the plurality of tasks for each of the computational resource. Based on the ranked one or more computational resources and a fairness metric, the method and system allocates the one or more capacity units associated with the computational resource to perform the plurality of tasks. The method and system determines the computational resource requirement to perform the plurality of tasks based on the allocated one or more capacity units. The fairness metric ensures that allocation of the one or more capacity units to the plurality of tasks is performed in a manner to maximize the fairness.
Abstract:
Embodiments of a method are disclosed for computing trust index among multiple entities associated with a resource marketplace. The method includes receiving multiple inputs including interaction attributes, attribute importance factors, references to databases, and multiple entities associated with the resource marketplace. The method also includes creating a weighted-interaction graph based on the received inputs. The weighted-interaction graph includes multiple vertices representing the entities. The method further includes performing a topology-specific analysis of the weighted-interaction graph. The method furthermore includes computing Euclidean distances for each pair of vertices in the weighted-interaction graph based on the performed analysis. The method also includes determining a trust index for a first entity in the received multiple entities based on the computed Euclidean distances. The trust index includes ranking of at least one of the multiple entities with respect to the first entity. The ranking is inversely proportional to the computed Euclidean distances.
Abstract:
Disclosed are the methods for scheduling a task including at least one sub-task, on one or more computing devices in a distributed computing environment. A set of computing devices are identified from the one or more computing devices, based on an availability of a set of computational resources on the set of computing devices. Each computing device in the set of computing devices is ranked based on at least one of a monetary cost or a network cost, associated with the execution of the at least one sub-task on the each computing device. The at least one sub-task is allocated to at least one computing device from the set of computing devices for execution based on at least one of the ranking or an acceptable success probability associated with the execution of the at least one sub-task.
Abstract:
There is provided systems and methods for creating a repository of templates. The templates are deterministic of a configuration a virtual machine. The method includes creating one or more templates for each of one or more applications types based on a benchmark data. Each of the one or more templates is stored in a hierarchal structure having one or more hierarchal levels. Each of the one or more hierarchal levels is indicative of a parameter of the configuration of the virtual machine. Thereafter, one or more rules are defined to traverse through the one or more hierarchal levels to access the one or more templates.
Abstract:
Embodiments of a method are disclosed for computing trust index among multiple entities associated with a resource marketplace. The method includes receiving multiple inputs including interaction attributes, attribute importance factors, references to databases, and multiple entities associated with the resource marketplace. The method also includes creating a weighted-interaction graph based on the received inputs. The weighted-interaction graph includes multiple vertices representing the entities. The method further includes performing a topology-specific analysis of the weighted-interaction graph. The method furthermore includes computing Euclidean distances for each pair of vertices in the weighted-interaction graph based on the performed analysis. The method also includes determining a trust index for a first entity in the received multiple entities based on the computed Euclidean distances. The trust index includes ranking of at least one of the multiple entities with respect to the first entity. The ranking is inversely proportional to the computed Euclidean distances.
Abstract:
The disclosed embodiments illustrate methods and systems for processing crowd-sensed data. The method includes receiving the crowd-sensed data from a mobile device associated with a user. The crowd-sensed data corresponds to metadata of an event pertaining to an aberration in at least one of a public service, a public infrastructure, a private service, or a private infrastructure. Thereafter, the event may be prioritized based at least on a type of the event, a measure of impact of the event, or a measure of urgency to resolve the event. Further, a notification of the event may be transmitted to an organization responsible to at least resolve the event, based on the prioritizing, wherein the notification comprises at least the metadata.