Respond Projects

Satellite Data Acquisition

Reed Solomon decoding software development for satellite data

Satellite communication channels are subject to channel noise, and thus errors may be introduced during transmission from the source to a receiver. Error detection techniques allow detecting such errors, while error correction enables reconstruction of the original data. Reed Solomon decoding algorithm is one of the error correcting algorithms to correct the received data with errors. Different formats of RS decoding standard algorithms are available like (247,255), (223,255). These things work in two modes one in CCSDS format and the other in traditional standard mode. Because of huge volume of satellite data and large mathematical computation it is time consuming to decode the data by using the traditional methods of Reed Solomon decoding algorithm. Hence there is a need for the high speed implementation of the same. The requirement is the parallelism of the Reed Solomon algorithm in General Purpose Graphics Processing Unit (GPGPU) and by parallel approach in Central Processing Unit (CPU).

Autonomous multi agent job scheduling algorithms for distributed systems

Large scale processing and knowledge extraction from data requires execution of complex workflows in a distributed environment. A generic framework needs to be evolved for collaborative computing among the resources to obtain maximum throughputs from the systems Development of (i) multi-agent system architecture for processing data in a distributed network environment (ii) models for a multi agent communication (iii) schemes for automatic configuration of agents based on the dynamics of the real time job scheduling and (iv) Resource optimization algorithms to improve the processing timelines