Oracle International Corporation

Nickolas Kavantzas

Jeffrey Jason Bryan

Prakash Yamuna

Pratibha Gupta

Jiandong Guo

Vijayalakshmi Krishnamurthy

Mohan Kamath

Sujay Sarkhel

Sachin Bhatkar

Sunil Kunisetty

Shivakumar Subramanian Govindarajapuram

Sergey Troshin

Cecilia Zhao

Joseph Marc Posner

Amit Vaid

Nitin Handa

Rohit Srivastava

Vidya Mani

Suresh Kumar Golconda

Neelesh Kumar Shukla

Someshwar Maroti Kale

Ranjit Mulye

Techniques for improving system performance based on data characteristics are disclosed. A system may receive updates to a first data set at a first frequency. The system selects a first storage configuration, from a plurality of storage configurations, for storing the first data set based on the first frequency, and stores the first data set in accordance with the first storage configuration. The system may further receive updates to a second data set at a second frequency. The system selects a second storage configuration, from the plurality of storage configurations, for storing the second data set based on the second frequency, and stores the second data set in accordance with the second storage configuration. The second storage configuration is different than the first storage configuration.

Dynamic performance tuning based on implied data characteristics

Techniques for selecting universal hyper parameters for use in a set of machine learning models across multiple computing environments include detection of a triggering condition for tuning a set of universal hyper parameters. The set of universal hyper parameters dictate configuration of the set of machine learning models that are independently executing, respectively, in the multiple computing environments. Based on the detected triggering condition, a first subset of universal hyper parameters from the set of universal hyper parameters are altered to generate a second set of universal hyper parameters. The second set of universal hyper parameters are applied to the set of machine learning models across the multiple computing environments.

Hyper parameter tuning for machine learning models

A model analyzer may receive a representative data set as input and select one of a plurality of analytic models to perform the analysis. Before deciding which model to use the model may be trained, and the trained model evaluated for accuracy. However, some models are known to behave poorly when the training data is distributed in a particular way. Thus, the cost of training a model and evaluating the trained model can be avoided by first analyzing the distribution of the representative data. Identifying the representative data distribution allows ruling out use of models for which the distribution of the representative data is unsuitable. Only models that may be compatible with the distribution of the representative data may be trained and evaluated for accuracy. The most accurate trained model whose accuracy meets an accuracy threshold may be selected to analyze subsequently received data related to the representative data.

Selecting an algorithm for analyzing a data set based on the distribution of the data set

In one set of embodiments, methods, systems, and apparatus are provided to attach one or more service policies to resources in an enterprise by receiving a first service policy, receiving a first policy attachment that identifies one or more policy attachment attributes of resources in the enterprise, and generate a first global policy attachment that references the first policy attachment and the first service policy. The method can include receiving a request to access a resource including an attribute that matches one of the policy attachment attributes. The method can include determining that the first service policy is an effective policy for the resource based on the matching resource attribute with the policy attachment attribute. The method can include controlling access to the resource responsive to the request using the effective policy.

Attaching web service policies to a group of policy subjects

Embodiments of the invention include techniques for processing messages transmitted between computer networks. In some embodiments, messages such as requests and responses for various types of web services, applications, and other web content may be transmitted between multiple computer networks. One or more intermediary devices or applications, such as a proxy server implemented within a physical or logical subnetwork, may receive, process, and transmit the messages between the communication endpoints. In some embodiments, a proxy server may be configured to operate within a subnetwork of an internal computer network, exposing various web applications and/or services of the internal computer network to external computer networks. Such a proxy server may select specific policies for processing messages based on various message characteristics and the current point in a predetermined processing flow for the message. After selecting the specific policies to be applied to the message, the proxy server may process the message in accordance with the policies and forward the message to its intended destination.

Proxy servers within computer subnetworks

Techniques are disclosed for dynamically switching user identity when generating a web service request by receiving, at a client application, an invocation of a web service, the invocation associated with a first authenticated user identity of a first user, identifying a second user identity, verifying that a switch from the first user identity to the second user identity is permitted by switching rules, including the second user identity in a service request when the switch is permitted, and communicating the service request to the web service. The switching rules can include associations between initial user identities and permitted user identities. Verifying that a switch is permitted can include searching the associations for an entry having an initial user identity that matches the first authenticated user identity and a new user identity that matches the second user identity, wherein the switch is permitted when the entry is found.

Dynamic identity switching

Methods, systems, and devices are described for identifying compatible web service policies between a web service and a web service client. A first and second set of one or more identifiers linked to web service policies supported by the web service and web service client may be calculated, respectively. The sets of identifiers may be compared. Using the comparison, a number of common identifiers present in the first set of one or more identifiers linked to the web service policies supported by the web service and the second set of one or more identifiers linked to the web service policies supported by the web service client may be identified. Using the number of common identifiers, a web service policy of the web service compatible with a web service policy of the web service client may be identified.

Identifying compatible web service policies

A computer-controlled method of managing third party installations within an enterprise can include inventorying the third party installations, specifying a number of configuration parameters for each third party installation, and storing the configuration parameters for the third party installations in a WSM metadata repository.

Defining configurable characteristics of a product and associating configuration with enterprise resources

In one set of embodiments, methods, systems, and apparatus are provided to attach one or more quality of service policies to resources in an enterprise system by receiving a first global policy attachment that references an attachment attribute value and a first service policy, receiving a request to access a policy subject associated with a subject attribute value, identifying an effective policy set referenced by the first global policy attachment, the effective policy set including the first service policy if the attachment attribute value equals the subject attribute value, and granting the request to access based upon the at least one effective policy. The at least one effective policy may further include a first service policy referenced by the first global policy attachment if a first policy attachment scope referenced by the first global policy attachment matches or contains a subject scope associated with the policy subject.

Framework for conditionally attaching web service policies to a policy subject (e.g., a web service client or service endpoint) at subject runtime. In one set of embodiments, a validation process can be performed at a policy subject during an initialization phase to ensure that there are no validation errors with respect to the web service policies that may be conditionally attached to the subject. This validation process can include grouping the policies that have been associated with the policy subject (via policy attachment metadata) by their corresponding constraint expressions, and determining which groups can potentially overlap (i.e., be simultaneously attached to the policy subject) at runtime. Each set of overlapping groups can then be validated using a predefined set of validation rules to identify potential errors pertaining to the policies in the set.

Validation of conditional policy attachments

Techniques for resolving conflicts between web service policies that are attached (via LPA and/or GPA metadata) to a policy subject (e.g., a WS client/service endpoint). In one set of embodiments, a priority value can be assigned to each policy attached to a policy subject via the policy's corresponding policy attachment metadata file. These priority values can be taken into account when determining whether one policy should be given precedence over another, conflicting policy attached to the same policy subject. In certain embodiments, as part of this determination, the priority value of a policy can be given greater weight than the scope at which the policy is attached.

Priority assignments for policy attachments

Framework for conditionally attaching web service policies to a policy subject (e.g., a web service client or service endpoint) at subject runtime. In one set of embodiments, a constraint expression can be defined that specifies one or more runtime conditions under which a policy should be attached to a policy subject. The constraint expression can be associated with the policy and the policy subject via policy attachment metadata. The constraint expression can then be evaluated at runtime of the policy subject to determine whether attachment of the policy to the policy subject should occur. If the evaluation indicates that the policy should be attached, the attached policy can be processed at the policy subject (e.g., enforced or advertised) as appropriate. Using these techniques, the policy subject can be configured to dynamically exhibit different behaviors based on its runtime context.

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Emerald Hills, CA, United States of America

Nickolas Kavantzas