Abstract: A system and method for dynamic log management of stream processing in a distributed computing environment, such as, for example, a streaming application or stream analytics system. A streaming application can be deployed or published to a cluster, to execute as a client application. A cluster manager coordinates with worker nodes, to commit tasks associated with the streaming application. If a need arises to generate lower-level log data associated with the streaming application, for example to diagnose an underlying cause of a warning/error message, a configuration job can be committed to the cluster to execute as a separate log-configuration application. The log-configuration application operates with the cluster manager to determine the set of working nodes currently associated with the streaming application, and modify the logger configuration at those nodes, to record or otherwise provide log data according to a modified logging level, for example to provide lower-level log messages.

Abstract: Systems and methods described herein support tag based request context in a cloud infrastructure environment. Cloud administrators do not generally have the ability to restrict resource usage in existing clouds. Granting a user permission to create resources allows them to create and/or terminate any number of resources up to a predefined account limit. Tags are associated with requests for resources for allowing administrators to restrict a user's handling of resources to the appropriate level by allowing fine-tuned control of access to the resources based on the context of the request for the resources. Request context information of the request is compared against a required credential gate level for permitting handling of resources in a tenancy having the first privilege level classification, and the request is selectively granted based on the request context information matching the first required credential gate level.

Abstract: In accordance with an embodiment, described herein are systems and methods identifying capabilities and limitations of an orchestration based application integration. The systems and methods described herein can detect and publish/expose such a set of limitations and capabilities of the adapters/connectors to the integration platform. In this way, such metadata can be used, for example, by a user of an integration system in designing an integration of applications, or in selecting an orchestration, based upon, e.g., the published metadata that indicates the capabilities of the individual adapters/connectors, or the orchestration as a whole (or parts thereof). This way, once an orchestration is active for processing requests, then it can also publish a metadata considering the metadata of involved adapters. This metadata can be used in adjusting requests to an integration.

Abstract: Described herein are systems and methods for fault tolerance in a network cloud environment. In accordance with various embodiments, the present disclosure provides an improved fault tolerance solution, and improvement in the fault tolerance of systems, by way of failure prediction, or prediction of when an underlying infrastructure will fail, and using the predictions to counteract the failure by spinning up or otherwise providing new component pieces to compensate for the failure.

Abstract: In accordance with an embodiment, described herein is a system and method for implementing a distributed ledger a blockchain cloud service. The blockchain cloud service can include nodes of the distributed ledger and a management console component. The management console component can include a web application running in a script runtime environment, a plurality of backend of APIs for communicating with various nodes of the blockchain cloud service, and a plurality of client APIs configured to be invoked by a client application. The plurality of client APIs uses one or more of the plurality of backend APIs in provisioning the distributed ledger as a blockchain cloud service, and in managing the managing the blockchain cloud service.

Abstract: Described herein are systems and methods for a providing Ledger as a Service (LaaS). Blockchain technology helps bring potential solutions to the distributed ledger problem, with a linear record structure to record transaction history. However, there are different types of blockchain techniques (e.g., Hyperledger, Ethereum, Quorum), and users/developers need to know the explicit features of each technique and align with the required APIs. Ledger as a Service can allow users to an develop applications more efficiently, and can allow users to easily migrate applications among different blockchain techniques and platforms (e.g., between Hyperledger and Ethereum). LaaS can also allow for simplified transactions with a blockchain, and can additionally provide simplified communication between blockchains of different types.

Abstract: A new and improved onboarding process for configuring and activating an email message receiving system (EMRS) to accept and process email messages on behalf of a customer is disclosed. The process comprises generating a customer-account-specific Domain Name Server (DNS) name that identifies a customer of the EMRS and a mail server for accepting and processing email messages for a domain associated with the customer. The process includes providing the customer-account-specific DNS name to the customer, receiving a request to process email messages for the domain associated with the customer and identifying using the customer-account-specific DNS name, the mail server for receiving the email messages for the domain. The process further includes verifying, using the customer-account-specific DNS name, that the customer has permission for receiving the email messages for the domain. The process includes processing the email messages and delivering the messages to a destination system.

Abstract: Techniques for management of data storage in distributed storage systems are provided. A method may include receiving, by a computer system, a request to write data to a volume. The method may include identifying, by the computer system, a zone segment mapped to the volume. The zone segment may include a plurality of zones. The method may include identifying, by the computer system, a segment pointer indicating a write location in a zone of the zone segment. The method may include writing, by the computer system, the data to one or more zones of the plurality of zones of the zone segment, starting at the write location. The method may also include updating, by the computer system, the segment pointer according to a data endpoint of the data in the zone segment.

Abstract: In accordance with an embodiment, described herein is a system and method for autonomous firewall rule management, for use with cloud computing environments or other types of network environments. A firewall rule management automation framework provides rule management for firewalls deployed across availability domains. The system is adapted to automatically determine firewalls that can receive network traffic from a given source subnet or destination subnet; configure the firewalls with required firewall rules; monitor the firewall rules through collection of metrics snapshots and rule hit counts; and purge underused or potentially obsolete firewall rules, for example those having zero hits over a particular period of time or number of snapshots. The system provide generic support for different types of firewall devices, and autonomous management of firewall rules within large heterogeneous computer networks that may include several types of firewalls.

Abstract: A system and method for providing transactional data privacy while maintaining data usability, including the use of different obfuscation functions for different data types to securely obfuscate the data, in real-time, while maintaining its statistical characteristics. In accordance with an embodiment, the system comprises an obfuscation process that captures data while it is being received in the form of data changes at a first or source system, selects one or more obfuscation techniques to be used with the data according to the type of data captured, and obfuscates the data, using the selected one or more obfuscation techniques, to create an obfuscated data, for use in generating a trail file containing the obfuscated data, or applying the data changes to a target or second system.

Abstract: A system and method is described for database split generation in a massively parallel or distributed database environment including a plurality of databases and a data warehouse layer providing data summarization and querying functionality. A database table accessor of the system obtains, from an associated client application, a query for data in a table of the data warehouse layer, wherein the query includes a user preference. The system obtains table data representative of properties of the table, and determines a splits generator in accordance with one or more of the user preference or the properties of the table. The system generates, by the selected splits generator, table splits dividing the user query into a plurality of query splits, and outputs the plurality of query splits to an associated plurality of mappers for execution by the associated plurality of mappers of each of the plurality of query splits against the table.

Abstract: A method, a non-transitory computer readable medium, and an apparatus are provided for switching between a synchronous data entry processing and an asynchronous data entry processing for processing input into a data entry field of the GUI based on a latency threshold for validation and a latency threshold for conversion; and for determining which input from a series of inputs entered into the data field during the asynchronous data entry processing based on a criteria.

Abstract: Systems and methods for hot method call graph analysis. An exemplary method can provide a hot method call graph analyzer. The method can receive a generated call graph, the generated call graph comprising a plurality of branches. The method can automatically traverse each branch of the generated call graph. For each traversed branch, the method can generate and store a list of leaf methods of each branch along with a corresponding execution time and number of samples of each leaf method, resulting in plurality of leaf method lists. The method can combine each of the plurality lists of leaf methods in an overall list of leaf methods of the generated call graph, resulting in a complete list of leaf methods of the generated call graph, which can be provided via, for example, a user interface. The systems and method described can additionally perform similar analysis for non-leaf methods.

Abstract: In accordance with various embodiments, described herein is a system (Data Artificial Intelligence system, Data AI system), for use with a data integration or other computing environment, that leverages machine learning (ML, DataFlow Machine Learning, DFML), for use in managing a flow of data (dataflow, DF), and building complex dataflow software applications (dataflow applications, pipelines). In accordance with an embodiment, the system can include a software development component and graphical user interface, referred to herein in some embodiments as a pipeline editor, or Lambda Studio IDE, that provides a visual environment for use with the system, including providing real-time recommendations for performing semantic actions on data accessed from an input HUB, based on an understanding of the meaning or semantics associated with the data.

Abstract: Techniques for noise data augmentation for training chatbot systems in natural language processing. In one particular aspect, a method is provided that includes receiving a training set of utterances for training an intent classifier to identify one or more intents for one or more utterances; augmenting the training set of utterances with noise text to generate an augmented training set of utterances; and training the intent classifier using the augmented training set of utterances. The augmenting includes: obtaining the noise text from a list of words, a text corpus, a publication, a dictionary, or any combination thereof irrelevant of original text within the utterances of the training set of utterances, and incorporating the noise text within the utterances relative to the original text in the utterances of the training set of utterances at a predefined augmentation ratio to generate augmented utterances.

Abstract: In accordance with various embodiments, described herein is a system (Data Artificial Intelligence system, Data AI system), for use with a data integration or other computing environment, that leverages machine learning (ML, DataFlow Machine Learning, DFML), for use in managing a flow of data (dataflow, DF), and building complex dataflow software applications (dataflow applications, pipelines). In accordance with an embodiment, the system can perform an ontology analysis of a schema definition, to determine the types of data, and datasets or entities, associated with that schema; and generate, or update, a model from a reference schema that includes an ontology defined based on relationships between datasets or entities, and their attributes. A reference HUB including one or more schemas can be used to analyze data flows, and further classify or make recommendations such as, for example, transformations enrichments, filtering, or cross-entity data fusion of an input data.

Abstract: In accordance with various embodiments, described herein is a system (Data Artificial Intelligence system, Data AI system), for use with a data integration or other computing environment, that leverages machine learning (ML, DataFlow Machine Learning, DFML), for use in managing a flow of data (dataflow, DF), and building complex dataflow software applications (dataflow applications, pipelines). In accordance with an embodiment, the system provides a programmatic interface, referred to herein in some embodiments as a foreign function interface, by which a user or third-party can define a service, functional and business types, semantic actions, and patterns or predefined complex data flows based on functional and business types, in a declarative manner, to extend the functionality of the system.

Abstract: Techniques are disclosed for generating network security policies for different versions of a component of an application deployed in a computing environment where the different versions have potentially different network requirements and the different versions operate together at the same time in the computing environment. The disclosed techniques include capabilities for enabling different versions of a component of a containerized application to co-exist at the same time on different computing nodes in a cluster of nodes in a containerized environment that deploys and executes the application. The techniques additionally include capabilities for enabling different network policies to be generated for the different versions of the component, where each component has potentially different network requirements. The techniques provide a mechanism to create precise, per-component network policies, while respecting the overall coarse-grained policies of the containerized application.

Abstract: A method for autonomously generating network function test cases includes detecting a failure case in a network function of a core network of a telecommunications network. The method includes, in response to detecting the failure case, autonomously generating a network function test case based on the failure case. The network function test case includes one or more network status parameters detected when detecting the failure case. The method includes supplying the network function test case to a network testing system configured for executing the network function test case by repeating the one or more network status parameters and determining whether or not the network function repeats the failure case.

Abstract: Systems and methods for supporting efficient virtualization in a lossless interconnection network. An exemplary method can provide, one or more switches, including at least a leaf switch, a plurality of host channel adapters, wherein each of the host channel adapters comprise at least one virtual function, at least one virtual switch, and at least one physical function, a plurality of hypervisors, and a plurality of virtual machines, wherein each of the plurality of virtual machines are associated with at least one virtual function. The method can arrange the plurality of host channel adapters with one or more of a virtual switch with prepopulated local identifiers (LIDs) architecture or a virtual switch with dynamic LID assignment architecture. The method can assign each virtual switch with a LID. The method can calculate one or more linear forwarding tables based at least upon the LIDs assigned to each of the virtual switches.