Other

Indian Institute of Science

Qubole, Inc.

Prakhar Jain

Joydeep Sen Sarma

Mayank Ahuja

Hariharan Iyer

Ajaya Agrawal

Rahul Roy

Jatin Panwar

Usama Ahmed Abbasi

Viswanathan Kumaran

The present disclosure provides a microfluidic device comprising a set of micro-structured electrodes. The electrodes are made of a fusible alloy such as Field's Metal and are patterned on a layer of PDMS. The molten fusible alloy is poured over the patterned PDMA layer and a suction force is applied to ensure uniformity of flow of the molten metal. A second layer comprising a flow channel orthogonal to the direction of the micro-structured electrodes is disposed under the first layer to form the microfluidic device. The device shows enhanced sensitivity to RBC detection at high frequencies that are also bio-compatible (above 2 MHz). Multiple layers of the micro-structures electrodes can be sandwiched between layers of flow channels to provide a 3D microfluidic device.

Microfluidic device with integrated micro-structured electrodes and methods thereof

The present invention is generally directed to systems and methods of provisioning, and using heterogeneous clusters in a cloud-based big data system, the heterogeneous clusters made up of primary instance types and different types of instances, the method including: determining if there are composition requirements of any heterogeneous cluster, the composition requirements defining instance types permitted for use; determining if any of the permitted different types of instances are required or advantageous for use; determining an amount of different types of instances to utilize, this determination based at least in part on an instance weight; provisioning the heterogeneous cluster comprising both primary instances and permitted different types of instances.

Heterogeneous auto-scaling big-data clusters in the cloud

The present invention is generally directed to systems and methods of provisioning and using heterogeneous clusters in a cloud-based big data system, the heterogeneous clusters made up of primary instance types and different types of instances, the method including: determining if there are composition requirements of any heterogeneous cluster, the composition requirements defining instance types permitted for use; determining if any of the permitted different types of instances are required or advantageous for use; determining an amount of different types of instances to utilize, this determination based at least in part on an instance weight; provisioning the heterogeneous cluster comprising both primary instances and permitted different types of instances.

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Bengaluru, India

Prakhar Jain