Sap Se

Makemytrip (india) Private Limited

Sunil Kumar

Akshat Verma

Mayank Tiwary

PankajKumar Agrawal

Pawan Kumar

Zafar Ansari

Vineet Pandita

Dhawal Patel

Rakesh Ranjan

Anirban Basu

Shubham Srivastava

Abhilash Jain

Sharat Singh

Some embodiments are associated with multi-tenant software defined data center network traffic management. A data center computing system may assign a first priority to a first traffic flow, associated with a first customer, using a regression technique based on a first response time of a first query associated with the first traffic flow. The system may assign a second priority to a second traffic flow, associated with a second customer, using the regression technique based on a second response time of a second query associated with the second traffic flow. The system may then dynamically allocating network resources to the first and second traffic flows based on the first and second priorities. Some embodiments may establish a plurality of network device queues and calculate demand-supply scores for the first and second traffic flows. The first and second traffic flows may then be sent to queues based on the calculated demand-supply scores.

Network multi-tenancy for cloud based enterprise resource planning solutions

A dynamically correcting cache memory is capable of correcting itself by dynamically reflecting any modifications inflicted upon the data/information to be stored therein. Further, the cache memory is refreshed at predetermined time intervals and also based on predetermined criteria, thereby ensuring a high cache hit rate. The dynamically correcting cache memory is bypassed for certain user queries prioritized based on a predetermined criteria. The dynamically correcting cache manages an inventory shared between multiple non-cooperative web-based, computer-implemented platforms. The dynamically correcting cache is directed to reducing caching errors in web based computer implemented platforms. The dynamically correcting cache responds to rapid changes associated with (online) behavior of users accessing web based computer implemented platforms by dynamically configuring TTL (Time-To-Live) values, in order to ensure that the data/information stored in the cache memory remains accurate.

Dynamic caching system

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New Delhi, India

Sunil Kumar