Sangeetha Abdu Jyothi

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In settings varying from transport networks to communication networks, a fundamental goal of network design has been to achieve high throughput. While myriad network designs have been proposed, particularly in the data center and HPC networking communities, a consistent and accurate method of predicting a design's throughput performance and comparing it to(More)
An emerging architecture for software-defined data centers andWANs is the network fabric, where complex application-sensitive functions are factored out, leaving the network itself to provide a simple, robust high-performance data delivery abstraction. This requires performing route optimization, in real time and across a diverse choice of paths. A large(More)
Modern resource management frameworks for large-scale analytics leave unresolved the problematic tension between high cluster utilization and job's performance predictability—respectively coveted by operators and users. We address this in Morpheus, a new system that: 1) codifies implicit user expectations as explicit Service Level Objectives (SLOs),(More)
High throughput is a fundamental goal of network design. While myriad network topologies have been proposed to meet this goal, particularly in data center and HPC networking, a consistent and accurate method of evaluating a design's throughput performance and comparing it to past proposals is conspicuously absent. In this work, we develop a framework to(More)
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