Samsung Electronics Co., Ltd.

Venkatraman Balasubramanian

Zhengyu Yang

Clay Mayers

Nithya Ramakrishnan

T David Evans

Ping Terence Wong

Olufogorehan Adetayo Tunde-Onadele

Thomas Edward Rainey, Iii

Michael Kurt Gehlen

A method of adapting a first key-value store to a second key-value store may include determining a conversion strategy based on one or more characteristics of the first key-value store and one or more characteristics of the second key-value store, converting the second key-value store to a converted key-value store based on the conversion strategy, and mapping the first key-value store to the converted key-value store based on a mapping function. The converted key-value store may be accessed on-the-fly. A data storage system may include a key-value interface configured to provide access to a lower key-value store, and a key-value adapter coupled to the key-value interface and configured to adapt an upper key-value store to the lower key-value store, wherein the key-value adapter may be configured to adapt at least two different types of the upper key-value store to the lower key-value store.

Methods and systems for adapting multiple key-value stores

A load balancing system includes: a centralized queue; a pool of resource nodes connected to the centralized queue; one or more processors; and memory coupled to the one or more processors and storing instructions that, when executed by the one or more processors, cause the one or more processors to: monitor a queue status of the centralized queue to identify a bursty traffic period; calculate an index value for a load associated with the bursty traffic period; select a load balancing strategy based on the index value; distribute the load to the pool of resource nodes based on the load balancing strategy; observe a state of the pool of resource nodes in response to the load balancing strategy; calculate a reward based on the observed state; and adjust the load balancing strategy based on the reward.

Systems and methods for spike detection and load balancing resource management

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Tempe, AZ, United States of America

Venkatraman Balasubramanian