8 results about "Service level requirement" patented technology

A service flow scheduling method and apparatus, and a system. When transmission quality of a service flow with a higher priority does not meet a service level requirement corresponding to the service flow, a first network device adjusts, to a first threshold, a transmission rate threshold of an HQoS model for a service flow with a lower priority, where the first threshold is less than a current data transmission rate of the service flow with a lower priority. By performing traffic shaping on the service flow with a lower priority, a bandwidth resource of a downlink port of the first network device may give way to the service flow with a higher priority, to ensure that the service flow with a higher priority meets the service level requirement of the service flow with a higher priority.

The invention provides a request processing method and device based on a large model, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, in particular to the technical fields of deep learning, large models and the like. According to the scheme, in response to a received large model reasoning request, a target service level requirement of the large model reasoning request is determined according to request parameters in the large model reasoning request; determining a target service instance pair from at least one candidate service instance pair matched with the target service level requirement; wherein the target service instance pair comprises a target pre-filling service instance determined based on a pre-filling delay and a target decoding service instance determined based on a load; adopting the target pre-filling service instance and the target decoding service instance to respond to the large model reasoning request based on the target service level requirement to obtain a response result; and sending a response result to the client associated with the large model reasoning request.

The present application relates to the field of Internet of Things security and computing scheduling, and particularly relates to a kind of end edge cloud multistage multi-domain access control method, which method includes: first according to service level requirement and compliance clause generates intention constraint description and establishes session root and one-time session token;Each layer carries remote proof and execution commitment and submits bid in parallel, and control plane verifies to form a bid package set;Under the constraint, joint arrangement solution is determined, stage is settled and cross-domain data path is determined, and minimum data disclosure rule and minimum feasible plan are generated, and stage token is issued;Each stage executes according to token and generates execution proof, and control plane verifies and enters account after verification, and switches between backup plan and current plan according to verification and operation monitoring, and completes verifiable and traceable operation closed loop.

The application relates to the technical field of medical management and discloses a medical AI model standardization and dynamic scheduling method based on micro services, which extracts the environment dependence of a medical AI model file through a micro service, encapsulates the medical AI model file into a standardized micro service container image, collects bottom node load data by using a probe, introduces an exponential moving average algorithm for smooth filtering, receives a medical service request and completes authentication analysis through an API gateway, calculates a comprehensive matching score by combining the smooth node resource state, service priority and service level requirement through a scheduling micro service, screens an optimal target execution node, and performs elastic scaling based on the concurrent aggregation load rate by pulling the micro service container image through the target node. The application eliminates scheduling jitter caused by transient load, reduces deployment time consumption, and guarantees low-delay response of high-priority diagnosis tasks.

A computing system includes a distributed computing cluster comprising a plurality of computing nodes interconnected via an interconnection network, wherein the computing nodes in the plurality of computing nodes communicate with each other via message passing via the interconnection network. The computing nodes are configured with a first parameter governing message transmission by the computing nodes via the interconnection network. The computing nodes are configured to accumulate messages for transmission as a group according to the first parameter, and the computing system is configured to limit injection of computing requests into the distributed computing cluster according to a second parameter. A controller is configured to receive at least one predetermined service level requirement and control a value of the second parameter and a value of the first parameter to control the computing throughput of the distributed computing cluster while complying with the at least one service level requirement.

One or more aspects of the present disclosure relate to controlling the power consumption of processor resources. In embodiments, one or more performance metrics for processing local and replication workloads are monitored by a remote data facility (RDF) storage array. In addition, power consumption of processor resources of the RDF storage array can be controlled based on the local and replication input / output (IO) workloads and service level (SL) requirements corresponding to each storage group targeted by IO operations of the local and replication IO workloads.

Varying path group speed based on sustainability targets includes identifying, in a first network, a path group consisting of a plurality of data paths between a first endpoint and a second endpoint, the plurality of data paths including at least a first data path and a second data path, wherein a first link speed of the first data path is slower than a second link speed of the second data path; determining a latency value associated the first data path; and adjusting, in response to the latency value associated with the first data path meeting a service level requirement, a path selection mechanism to favor the first data path over the second data path.

The invention relates to the field of Internet of Things security and computing scheduling, in particular to an end-side cloud multi-level multi-domain access control method, which comprises the following steps of: firstly, generating intention constraint description according to service level requirements and compliance terms, and establishing a session root and a one-time session token; each layer carries remote proof and execution commitment and submits bidding in parallel, and a bidding packet set is formed after verification of the control plane; joint arrangement and solution are carried out under constraints, stage placement and a cross-domain data path are determined, a minimum data leakage rule and a minimum feasible plan are generated, and a stage token is issued; each stage is executed according to a token and an execution proof is generated, a control plane verifies and then records, and switches between a backup plan and a current plan according to verification and operation monitoring to complete a verifiable and traceable operation closed loop.