Abstract: Various approaches for allocating resources to an application having multiple application components, with at least one executing one or more functions, in a serverless service architecture include identifying multiple routing paths, each routing path being associated with a same function service provided by one or more containers or serverless execution entities; determining traffic information on each routing path and/or a cost, a response time and/or a capacity associated with the container or serverless execution entity on each routing path; selecting one of the routing paths and its associated container or serverless execution entity; and causing a computational user of the application to access the container or serverless execution entity on the selected routing path and executing the function(s) thereon.

Abstract: Various approaches for allocating resources to an application having multiple application components, with at least one executing one or more functions, in a serverless service architecture include identifying multiple routing paths, each routing path being associated with a same function service provided by one or more containers or serverless execution entities; determining traffic information on each routing path and/or a cost, a response time and/or a capacity associated with the container or serverless execution entity on each routing path; selecting one of the routing paths and its associated container or serverless execution entity; and causing a computational user of the application to access the container or serverless execution entity on the selected routing path and executing the function(s) thereon.

Abstract: Various approaches for allocating resources to an application having multiple application components, with at least one executing one or more functions, in a serverless service architecture include identifying multiple routing paths, each routing path being associated with a same function service provided by one or more containers or serverless execution entities; determining traffic information on each routing path and/or a cost, a response time and/or a capacity associated with the container or serverless execution entity on each routing path; selecting one of the routing paths and its associated container or serverless execution entity; and causing a computational user of the application to access the container or serverless execution entity on the selected routing path and executing the function(s) thereon.

Abstract: Various approaches for allocating resources to an application having multiple application components, with at least one executing one or more functions, in a serverless service architecture include identifying multiple routing paths, each routing path being associated with a same function service provided by one or more containers or serverless execution entities; determining traffic information on each routing path and/or a cost, a response time and/or a capacity associated with the container or serverless execution entity on each routing path; selecting one of the routing paths and its associated container or serverless execution entity; and causing a computational user of the application to access the container or serverless execution entity on the selected routing path and executing the function(s) thereon.

Abstract: Various approaches for allocating resources to an application having multiple application components, with at least one executing one or more functions, in a serverless service architecture include identifying one or more pods having multiple containers organized as a cluster in a container system capable of executing the function(s); identifying one or more routing paths in the serverless service architecture, the routing path being associated with one or more serverless execution entities capable of executing the function(s) thereon; determining (i) traffic information on the routing path(s), (ii) a cost or a performance characteristic associated with a computer resource bundle for the pod(s), and/or (iii) a cost or a performance characteristic associated with the serverless execution entity(entities); and based thereon, determining whether to (i) terminate execution of the function(s) on the pod(s) and (ii) cause execution of the function(s) on the serverless execution entity (entities).

Abstract: Various approaches for allocating resources to an application having multiple application components, with at least one executing one or more functions, in a serverless service architecture include identifying multiple routing paths, each routing path being associated with a same function service provided by one or more containers or serverless execution entities; determining traffic information on each routing path and/or a cost, a response time and/or a capacity associated with the container or serverless execution entity on each routing path; selecting one of the routing paths and its associated container or serverless execution entity; and causing a computational user of the application to access the container or serverless execution entity on the selected routing path and executing the function(s) thereon.

Abstract: Methods and apparatus for generating a causality matrix using vertex-centric processing framework to be used by a codebook correlation engine to determine a set of problems to explain active symptoms in a system. Methods and apparatus for calculating impacts of problems using vertex-centric processing framework.

Abstract: A system is described for sending alert messages collected for cloud computing system to external systems. The alert messages may be sent according to determined protocols, such as the syslog protocol and/or SNMP trap, among other appropriate protocols. Partitioning and/or fragmenting of the alert message may be provided based on the use of various types of message identifications and/or other information in which, by virtue of the partitioning and fragmenting, an alert message, regardless of its length, may be sent and reconstructed at the external system. The system advantageously provides for transmission of alert messages using mechanisms other than the syslog protocol and with additional included alert attribute information.

Abstract: Methods and apparatus for performing event correlation using codebook processing including determining a most probable set of problems for observed symptoms in a system. In embodiments, a correlation matrix is received which has managed objects. Hypotheses are defined as a subset of problems having observed symptoms based on the correlation matrix and evaluated.

Abstract: Methods and apparatus for distributed evaluation of expressions defined by a domain model including classes with attributes and relationships among the classes. Messages containing attribute updates are sent and processed using vertex-centric graph processing technique to evaluate expressions and determine a state of the system.

Abstract: Methods and apparatus for generating a causality matrix using vertex-centric processing framework to be used by a codebook correlation engine to determine a set of problems to explain active symptoms in a system. Methods and apparatus for calculating impacts of problems using vertex-centric processing framework.

Abstract: Example embodiments of the present invention provide a method and a system for using consistent-hashing to ensure proper sequencing of message processing in a scale-out environment. The method includes receiving a stream of a plurality of messages and performing a consistent-hash on each message of the plurality of messages. Each message then may be distributed toward a respective downstream worker of a plurality of downstream workers for processing according to results of the hash.

Abstract: A system is described for sending alert messages collected for cloud computing system to external systems. The alert messages may be sent according to determined protocols, such as the syslog protocol and/or SNMP trap, among other appropriate protocols. Partitioning and/or fragmenting of the alert message may be provided based on the use of various types of message identifications and/or other information in which, by virtue of the partitioning and fragmenting, an alert message, regardless of its length, may be sent and reconstructed at the external system. The system advantageously provides for transmission of alert messages using mechanisms other than the syslog protocol and with additional included alert attribute information.

Abstract: Conditioning composition comprising from 0.4 to 8% wt. fatty alcohol having from 8-22 carbons, from 0.1 to 2% wt. cationic surfactant component, water, and wherein the composition has a Draw Mass of from 1 to 250 g, characterised by from 0.001 to 0.5% wt. benzyl alcohol.

Abstract: Methods and apparatus to provide a cloud computing system having cross domain event correlation. In one embodiment, a first alert is received in a first domain of the system domains and a second alert in a second domain of the system domains, the first and second alerts caused by an event. A topology of the system is determined and connectivity matching is performed to identify connections between a port in the first domain and a port in the second domain. Identify matching, using unique identifiers for domain components, is performed to determine that a first component in the first domain associated with the first alert is the same component as a second component associated with the second alert in the second domain for cross domain event correlation.

Abstract: Methods and apparatus for generating at risk probabilities for a pre-integrated cloud computing system. In one embodiment, a system determines a revised overall risk index after at least two component failures in at least two of the compute domain, storage domain, and storage paths to assist a user in selecting a first one of the at least two component failures to fix first.

Abstract: Methods and apparatus to provide performance data transformation in a cloud computing system. In one embodiment, the system performs data transformation with information from a configuration subsystem, to generate metrics for network layer, storage layer, compute layer, and logical components.

Abstract: Methods and apparatus to provide alert enrichment in a cloud storage system. In one embodiment, the system performs alert/event identification with information from an identity matching service for the components of the cloud storage system to generate a resource identifier for the component associated with a first one of the processed alerts/events, and use the resource identifier to identify a service, platform, virtual machine, virtual application, virtual data center, organization and/or platform component associate with the first one of the processed alerts/events.

Abstract: Methods and apparatus to provide event correlation based on causality equivalence. In one embodiment, a raw notification and a causality notification are generated for a raw event. The causality notification corresponds to a causality equivalence class in a plurality of causality equivalence classes.

Abstract: Methods and apparatus for generating at risk probabilities for a pre-integrated cloud computing system. In one embodiment, at risk probabilities are computed for a compute domain, storage volumes in the storage domain, storage paths to the storage domain from the compute domain, and an overall at risk probability for a first one of the services using system resources.