Patent classifications
G06F9/5072
SYSTEMS AND METHODS FOR VIRTUAL MACHINE LIVE MIGRATION
Systems and methods for live migration of VMs between different nodes are provided. More specifically, the system and methods utilize a heat map and an access pattern to determine the fetching order of files and/or blocks from the cache of a host node for rebuilding the cache on a destination node. Additionally, the systems and methods are able to persist the cache of a host node across a crash, allowing a destination node to fetch blocks and/or files from the cache on the host node after a crash instead of having to access the VM files and/or blocks from an original source. Accordingly, the systems and methods decrease migration latency of the VM during live migration and free up network bandwidth during the live migration when compared to prior systems and methods that utilize just the heat map to determine the fetching order and/or that are not able to persist the cache across a crash.
INTEROPERABILITY-AS-A-SERVICE IN A CLOUD ENVIRONMENT
Methods, devices, and techniques for determining interoperable resources are discussed herein. For example, in one aspect, a resource in a cloud environment may be discovered. Responsive to discovering the resource, an interoperability support matrix associated with the resource can be obtained. The interoperability support matrix may specify another resource that interoperates with the resource. An interoperability record is then stored in an interoperability support matrix repository. The interoperability record can specify that the another resource interoperates with the resource.
Methods and apparatus to execute a workload in an edge environment
Methods and apparatus to execute a workload in an edge environment are disclosed. An example apparatus includes a node scheduler to accept a task from a workload scheduler, the task including a description of a workload and tokens, a workload executor to execute the workload, the node scheduler to access a result of execution of the workload and provide the result to the workload scheduler, and a controller to access the tokens and distribute at least one of the tokens to at least one provider, the provider to provide a resource to the apparatus to execute the workload.
CROWD-SOURCED CLOUD COMPUTING RESOURCE VALIDATION
Resource provider specifications, characterizing computing resources of computing resource providers, are received. The reachability of each IP address included in the received specification is determined. An agent is deployed that is operable to determine the value of each of a set of metrics in the environment of the host at which the agent is deployed. The agent determines the value of each metric of the set of metrics in the environment of the relevant host, and communicates the determined values to one or more computing devices that validate whether the resources characterized by the communicated values are sufficient to provide the performance characterized by the received specification and that each ISP router complies with a predetermined policy. For each computing resource provider validated and determined to comprise an ISP router compliant with policy, the specified computing resources are added to a pool of resources for cloud computing.
SYSTEM AND METHOD FOR SCALING APPLICATION CONTAINERS IN CLOUD ENVIRONMENTS
A method includes polling, via a service specific manager operating on a software container in a cloud infrastructure, usage of different application resources and parameters for each service of a plurality of services provided in the cloud infrastructure to yield respective polled data for each service, collating, at the service specific manager, the respective polled data for each service to yield a collation, and based on the collation, deriving a respective weight for each service which a container manager can use to create multiple instances of a new service. The method further includes communicating the respective weight for each service to the container manager and determining, via the container manager, whether to scale up or scale down container services based on the respective weight for each service.
Transaction-enabled systems and methods for resource acquisition for a fleet of machines
The present disclosure describes transaction-enabling systems and methods. A system can include a controller and a fleet of machines, each having at least one of a compute task requirement, a networking task requirement, and an energy consumption task requirement. The controller may include a resource requirement circuit to determine an amount of a resource for each of the machines to service the task requirement for each machine, a forward resource market circuit to access a forward resource market, and a resource distribution circuit to execute an aggregated transaction of the resource on the forward resource market.
Generation, actuation, and enforcement of policies for resources within a distributed computing system
The generation, actuation, and enforcement of policies within a distributed computing system is provided. The policies are employed to manage the resources of the system. The resources include virtualized resources, such as virtual machines (VMs) and virtual storage disks (VSDs). A policy includes a rule and scope. Enforcing a policy includes applying the rule to resources that are within the policy's scope. Policies are employed to constrain the leasing period and reclaim leased resources, as well constrain the access of certain users to specific operations on the leased resources. Policies may be created via a UI that automatically generates a policy encoding. The policy is registered and accessed via a policy store. When multiple policies target a common resource, merging strategies are applied to the multiple policies. The multiple policies are ranked, merged, filtered, and any remaining conflicts are resolved to generate an effective policy that is consistent with the multiple policies and is enforced on the common resource.
DISTRIBUTED DATA SET ENCRYPTION AND DECRYPTION
An apparatus includes a processor component of a first node device caused to receive data block encryption data and an indication of size of an encrypted data block distributed to the first node device for decryption, and in response to the data set being of encrypted data: receive an indication of the quantity of sub-blocks within the encrypted data block, and a hashed identifier for each data sub-block; use the data block encryption data to decrypt the encrypted data block to regenerate data set portions from the data sub-blocks; analyze the hashed identifier of each data sub-block to determine whether all data set portions are distributed to the first node device for processing; and in response to a determination that at least one data set portion is to be distributed to a second node device for processing, transmit the at least one data set portion to the second node device.
Method, apparatus, electronic device and readable storage medium for adjusting instance number
A method, an apparatus, an electronic device and a computer readable storage medium for adjusting an instance number are provided. The method includes: acquiring an actual performance index of a current time window; determining a theoretical instance number corresponding to the actual performance index; and in response to the theoretical instance number being greater than an instance creating upper limit of a current edge computing node, requesting another edge computing node having an instance addition capability to jointly create an instance of a total number equal to the theoretical instance number.
System and Method for Providing Dynamic Provisioning Within a Compute Environment
The disclosure relates to systems, methods and computer-readable media for dynamically provisioning resources within a compute environment. The method aspect of the disclosure comprises A method of dynamically provisioning resources within a compute environment, the method comprises analyzing a queue of jobs to determine an availability of compute resources for each job, determining an availability of a scheduler of the compute environment to satisfy all service level agreements (SLAs) and target service levels within a current configuration of the compute resources, determining possible resource provisioning changes to improve SLA fulfillment, determining a cost of provisioning; and if provisioning changes improve overall SLA delivery, then re-provisioning at least one compute resource.