Systems and methods for providing a guaranteed batch pool are described, including receiving a job request for execution on the pool of resources; determining an amount of time to be utilized for executing the job request based on available resources from the pool of resources and historical resource usage of the pool of resources; determining a resource allocation from the pool of resources, wherein the resource allocation spreads the job request over the amount of time; determining that the job request is capable of being executed for the amount of time; and executing the job request over the amount of time, according to the resource allocation.

Methods and systems for monitoring performance in a distributed storage system described. One example method includes identifying requests sent by clients to the distributed storage system, each request including request parameter values for request parameters; generating probe requests based on the identified requests, the probe requests including probe request parameter values for probe request parameter values, representing a statistical sample of the request parameters included in the identified requests; sending the generated probe requests to the distributed storage system over a network, wherein the distributed storage system is configured to perform preparations for servicing each probe request in response to receiving the probe request; receiving responses to the probe requests from the distributed storage system, and outputting at least one performance metric value measuring a current performance state of the distributed storage system based on the received responses.

Methods and systems for monitoring performance in a distributed storage system described. One example method includes identifying requests sent by clients to the distributed storage system, each request including request parameter values for request parameters; generating probe requests based on the identified requests, the probe requests including probe request parameter values for probe request parameter values, representing a statistical sample of the request parameters included in the identified requests; sending the generated probe requests to the distributed storage system over a network, wherein the distributed storage system is configured to perform preparations for servicing each probe request in response to receiving the probe request; receiving responses to the probe requests from the distributed storage system, and outputting at least one performance metric value measuring a current performance state of the distributed storage system based on the received responses.

Provided herein are systems and methods for providing insights or metrics in connection with provisioning applications and/or desktop sessions to end-users. Network devices (e.g., appliances, intermediary devices, gateways, proxy devices or middle-boxes) can gather insights such as network-level statistics. Additional insights (e.g., metadata and metrics) associated with virtual applications and virtual desktops can be gathered to provide administrators with comprehensive end-to-end real-time and/or historical reports of performance and end-user experience (UX) insights. Insights relating to an application or desktop session can be used to determine and/or improve the overall health of the infrastructure of the session, Citrix Virtual Apps and Desktops, the applications (e.g., remote desktop application) being delivered using the infrastructure, and/or the corresponding user experience.

Disclosed herein are a method and an NWDAF for collecting network data, including: transmitting a network exposure subscription request message including an event reporting granularity parameter to the NF; receiving a data set determined by the NF based on the event reporting granularity parameter from the NF through an event exposure notification message in at least one reporting cycle; and performing network data analysis using received data set.

Disclosed herein are a method and an NWDAF for collecting network data, including: transmitting a network exposure subscription request message including an event reporting granularity parameter to the NF; receiving a data set determined by the NF based on the event reporting granularity parameter from the NF through an event exposure notification message in at least one reporting cycle; and performing network data analysis using received data set.

Methods, systems, and devices for communications are described. One or more flows between a node and one or more other nodes in a communication network may be monitored over a time period. During the monitoring, it may be identified that, during a subset of the time period, communications over at least one of the flows were restricted by the communication network based on receiving at least one indicator of congestion for the at least one flow. A quantity of traffic communicated over the one or more flows during the subset of the time period may then be determined, and respective flow rates of the one or more flows may be obtained. The obtained flow rates may be used to calculate a data rate of one or more connections between the node and the one or more other nodes.

A system may include a historical time series data store that contains electronic records associated with Software-as-a-Service (“SaaS”) applications in a multi-tenant cloud computing environment (including time series data representing execution of the SaaS applications). A monitoring platform may retrieve time series data for the monitored SaaS application from the historical time series data store and create tenant vector representations associated with the retrieved time series data. The monitoring platform may then provide the retrieved time series data and tenant vector representations together as final input vectors to an autoencoder to produce an output including at least one of a tenant-specific loss reconstruction and tenant-specific thresholds for the monitored SaaS application. The monitoring platform may utilize the output of the autoencoder to automatically detect an anomaly associated with the monitored SaaS application.

Disclosed is a 5.sup.th generation (5G) or a pre-5G communication system provided to support a higher data transmission rate than that of post-4.sup.th generation (4G) communication systems, such as long term evolution (LTE). A method of operating a network node in a wireless communication system is provided. The method includes receiving, from a plurality of first network nodes, network data, generating first recommendation operation information for a second network node based on the network data, and transmitting, to the second network node, a first analysis result message including the first recommendation operation information.

A method for determining quality of service (QoS) description information includes receiving at least one piece of QoS description information of a service. Each piece of the at least one piece of QoS description information includes parameter type information and a parameter requirement. The method also includes sending to a second core network element or an application function network element corresponding to the service, parameter type information and a parameter requirement in the at least one piece of QoS description information. The method further includes receiving from the second core network element or the application function network element, feedback information of the parameter type information and the parameter requirement. The method additionally includes determining at least one piece of target QoS description information in the at least one piece of QoS description information based on the feedback information.