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.

Systems and methods for transaction/file-based management of a plurality of processes associated with various jobs are provided. Through the management of discrete applications, a file distribution manager/scheduler orchestrates automated execution of different types of jobs. The processes executed for the various processes can vary based on job type, or other parameters.

A distributed processing system including a plurality of distributed systems, transmission media connecting the plurality of distributed systems and a control node connected to the plurality of distributed systems, wherein each of the distributed systems includes one or more distributed nodes constituting a distributed node group and a piece of electric equipment accommodating the distributed node group. Each of the distributed nodes includes interconnects to connect to any of the transmission media and/or other distributed nodes; and the control node determines, based on a quantity of computational resources required for a job, distributed systems, distributed systems and distributed nodes in the distributed systems to execute the job from the plurality of distributed systems, selects a connection path for data to be processed among the distributed systems, and provides information about an interconnect connection path for the distributed nodes to execute the job.

Techniques for implementing rollback of infrastructure changes in an infrastructure orchestration service are described. In certain examples, an infrastructure orchestration service is disclosed that manages both provisioning and deploying of infrastructure assets within a cloud environment. The service receives a plan comprising a set of instructions associated with a set of infrastructure assets of an execution target and identifies a first state of the set of infrastructure assets. The service executes the set of instructions in the plan to achieve a second state for the set of infrastructure assets. Based in part on the executing, the service receives a trigger for rolling back the plan to restore the set of infrastructure assets in the plan to the first state and executes a rollback plan for the plan. The service then transmits a result associated with the execution of the rollback plan.

Systems and methods for programming field programmable gate array (FPGA) devices are provided. A trained model for a deep learning process is obtained and converted to design abstraction (DA) code defining logic block circuits for programming an FPGA device. Each of these logic block circuits represents one of a plurality of modules that executes a processing step between different layers of the deep learning process.

Aspects of the present disclosure relate to controlling resource consumption of a server and storage array. In embodiments, a request can be received by a server that is communicatively coupled to a storage array. Further, the services required to process the request can be identified. Additionally, services' activation can be controlled based on a mapping of request-related actions and initiated services.

Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for monitoring long-standing computing resources. An apparatus may operate by receiving a cloud monitoring notification, where the cloud monitoring notification may indicate an occurrence of a monitored condition. The apparatus may then operate by scanning a cluster computing system for resource having a client assigned resource identifier and a computing resource attribute based on a resource identifier scan parameter and a resource attribute scan parameter. The apparatus may further operate by generating a resource notification request based on the scanning of the cluster computing system and transmitting the resource notification request to a communications system to notify a user that the resource has a computing resource attribute that match the resource attribute scan parameter.

Described herein is a system and method for determining the status of instances and update applications to reflect the updated statuses of instances, in real-time. In an embodiment, each instance may enable a service to determine the status of an instance. A core application server may load server pool configurations including a status of an instance. The status indicates the instance is live. Core application server may read a gate definition of the instance using the service enabled on the instance. Core application server may determine that a current status of the instance is virtual, based on the gate definition of the instance. The core application may a local cache of core application server to reflect that the current status of the instance is virtual and propagate to applications executed on other instances and core application server.

A management method for Content Delivery Network (CDN) function virtualization, including: sending a node creation request to a Mobile/Multi-access Edge Application Orchestrator (MEAO), so that the MEAO controls a Mobile/Multi-access Edge computing Platform (MEP) to perform node instantiation processing to generate a Mobile/Multi-access Edge Computing-CDN (MEC-CDN) node, wherein the MEC-CDN node includes at least one virtualization function module that supports a service operation, and the virtualization function module accesses a storage resource pool via a unified storage access interface provided by a storage resource management module (S101); and connecting the MEC-CDN node to a CDN (S102). Further provided are a CDN management node, an MEAO, an MEP, an electronic device, and a computer readable medium.

There is provided a method including receiving, at a resource access gateway (RAG), an electronic request for a given quantity of a resource, and a first credential for accessing a first source of the resource. The first credential may have been input at an input interface in association with the electronic request. The method also includes obtaining a second credential from a credential storing computer-readable storage medium (CRSM) based on the first credential. The second credential may be for accessing a second source of the resource. In addition, the method includes generating at the RAG an electronic authorization for the given quantity to be collected from the second source using the second credential, and sending the electronic authorization to a transfer gateway, which may collect the given quantity from, the second, source, in addition, the method may include outputting a confirmation of access to the given quantity of the resource.