Oracle International Corporation

Lawrence Yoo Lindsey

Yuvaraj Chandrasekaran

Mihir Kumar Das

Kanchan Shringi

Ajay Kumar Singh

Santosh Kumar Kotikalapudi

Lisa Ozlem Ozkan

Srikanth Chittineni

Pushpander Singh

Weiran Zhao

A server includes a data cache for storing data objects requested by mobile devices, desktop devices, and server devices, each of which may execute a different configuration of an application. When a cache miss occurs, the cache may begin loading portions of a requested data object from various data sources. The cache itself may be divided into multiple partitions, and each of the partitions may be assigned to a specific attribute, such as an application configuration. Portions of the data object may be loaded into corresponding cache partitions based on the attributes of each. Although part of a single cache, each of the partitions may be independently assigned different cache replacement policies. Performance metrics for each of the partitions may be monitored and used to update the cache replacement policy for each partition at runtime without interrupting response traffic.

Multi-state midtier dynamic cache replacement

A server includes a data cache for storing data objects requested by users logged in under different user roles. Different user roles may have different permissions to access individual fields within a data object. When a cache miss occurs, the cache may begin loading portions of a requested data object from various data sources. Instead of waiting for the entire object to load to change the object state to 'valid,' the cache may incrementally update the state through various levels of validity based on the user role of the request. When a portion of the data object used by a low-level user role is received, the object state can be upgraded to be valid for that user role while data for higher-level user roles continues to load. The portion of the data object can then be sent to the low-level user roles without waiting for the rest of the data object to load.

Partitioned mid-tier cache based on user type

Techniques for self-service provisioning and activation of cloud services are disclosed. In some embodiments, a self-service user interface is generated through which a cloud service subscriber may input configuration parameters to customize an instance of the cloud service. The configuration parameters may define topology, deployment, and/or operational configurations for the cloud service. Responsive to receiving configuration parameters through the self-service user interface, a set of instructions may be automatically generated and executed to perform one or more provisioning operations.

Customer self-service cloud application provisioning

A server includes a data cache for storing data objects requested by mobile devices, desktop devices, and server devices, each of which may execute a different configuration of an application. When a cache miss occurs, the cache may begin loading portions of a requested data object from various data sources. Instead of waiting for the entire object to load to change the object state to 'valid,' the cache may incrementally update the state through various levels of validity based on the calling application configurations. When a portion of the data object used by a mobile configuration is received, the object state can be upgraded to be valid for mobile devices while data for desktop and other devices continues to load, etc. The mobile portion of the data object can then be sent to the mobile devices without waiting for the rest of the data object to load.

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Pleasanton, CA, United States of America

Lawrence Yoo Lindsey