activity
20162021
most citedQuickCast: Fast and Efficient Inter-Datacenter Transfers using Forwarding Tree Cohorts

39 citations · 86 across the 7 of their papers we have counts for

collaborators

8 papers

astro-ph.EP2021★ 15 cited

Nigraha: Machine-learning based pipeline to identify and evaluate planet candidates from TESS

Sriram Rao, Ashish Mahabal, Niyanth Rao +1

The Transiting Exoplanet Survey Satellite (TESS) has now been operational for a little over two years, covering the Northern and the Southern hemispheres once. The TESS team proces…

cs.DC2019★ 1 cited

Efficient Inter-Datacenter Bulk Transfers with Mixed Completion Time Objectives

Mohammad Noormohammadpour, Srikanth Kandula, Cauligi S. Raghavendra +1

Bulk transfers from one to multiple datacenters can have many different completion time objectives ranging from quickly replicating some copies to minimizing the time by which…

cs.NI2018★ 2 cited

Fast and Efficient Bulk Multicasting over Dedicated Inter-Datacenter Networks

Mohammad Noormohammadpour, Cauligi S. Raghavendra, Srikanth Kandula +1

Several organizations have built multiple datacenters connected via dedicated wide area networks over which large inter-datacenter transfers take place. This includes tremendous vo…

cs.NI2018★ 39 cited

QuickCast: Fast and Efficient Inter-Datacenter Transfers using Forwarding Tree Cohorts

Mohammad Noormohammadpour, Cauligi S. Raghavendra, Srikanth Kandula +1

Large inter-datacenter transfers are crucial for cloud service efficiency and are increasingly used by organizations that have dedicated wide area networks between datacenters. A r…

cs.NI2017★ 8 cited

RCD: Rapid Close to Deadline Scheduling for Datacenter Networks

Mohammad Noormohammadpour, Cauligi S. Raghavendra, Sriram Rao +1

Datacenter-based Cloud Computing services provide a flexible, scalable and yet economical infrastructure to host online services such as multimedia streaming, email and bulk storag…

cs.NI2017★ 17 cited

DCRoute: Speeding up Inter-Datacenter Traffic Allocation while Guaranteeing Deadlines

Mohammad Noormohammadpour, Cauligi S. Raghavendra, Sriram Rao

Datacenters provide the infrastructure for cloud computing services used by millions of users everyday. Many such services are distributed over multiple datacenters at geographical…

cs.NI2017

DCCast: Efficient Point to Multipoint Transfers Across Datacenters

Mohammad Noormohammadpour, Cauligi S. Raghavendra, Sriram Rao +1

Using multiple datacenters allows for higher availability, load balancing and reduced latency to customers of cloud services. To distribute multiple copies of data, cloud providers…

cs.DC2016★ 4 cited

Do the Hard Stuff First: Scheduling Dependent Computations in Data-Analytics Clusters

Robert Grandl, Srikanth Kandula, Sriram Rao +2

We present a scheduler that improves cluster utilization and job completion times by packing tasks having multi-resource requirements and inter-dependencies. While the problem is a…