51 citations · 77 across the 9 of their papers we have counts for
9 papers
Slasher: Power Flexibility for Cloud Datacenters
Liuzixuan Lin, Fiodar Kazhamiaka, Alok Gautam Kumbhare +10
Datacenters consume many megawatts of power, and regularly encounter scenarios that require modulating their power draw. These scenarios include datacenter infrastructure failures,…
Designing Datacenter Power Delivery Hierarchies for the AI Era
Grant Wilkins, Fiodar Kazhamiaka, Alok Gautam Kumbhare +2
Demand for AI accelerators is rapidly increasing rack power density, with projections approaching 1MW per deployment by 2027. This poses a major challenge for datacenter power deli…
WorkflowPerturb: Calibrated Stress Tests for Evaluating Multi-Agent Workflow Metrics
Madhav Kanda, Sharad Agarwal, Rodrigo Fonseca +2
Multi-agent LLM systems that generate structured workflows from natural-language requests are now deployed in production across cloud automation, DevOps, and enterprise orchestrati…
Power Stabilization for AI Training Datacenters
Esha Choukse, Brijesh Warrier, Scot Heath +54
Large Artificial Intelligence (AI) training workloads spanning several tens of thousands of GPUs present unique power management challenges. These arise due to the high variability…
Intent-based System Design and Operation
Vaastav Anand, Yichen Li, Alok Gautam Kumbhare +6
Cloud systems are the backbone of today's computing industry. Yet, these systems remain complicated to design, build, operate, and improve. All these tasks require significant manu…
Prediction-Based Power Oversubscription in Cloud Platforms
Alok Kumbhare, Reza Azimi, Ioannis Manousakis +8
Datacenter designers rely on conservative estimates of IT equipment power draw to provision resources. This leaves resources underutilized and requires more datacenters to be built…
Floe: A Continuous Dataflow Framework for Dynamic Cloud Applications
Yogesh Simmhan, Alok Kumbhare
Applications in cyber-physical systems are increasingly coupled with online instruments to perform long running, continuous data processing. Such "always on" dataflow applications…
Scalable Analytics over Distributed Time-series Graphs using GoFFish
Yogesh Simmhan, Charith Wickramaarachchi, Alok Kumbhare +5
Graphs are a key form of Big Data, and performing scalable analytics over them is invaluable to many domains. As our ability to collect data grows, there is an emerging class of in…
GoFFish: A Sub-Graph Centric Framework for Large-Scale Graph Analytics
Yogesh Simmhan, Alok Kumbhare, Charith Wickramaarachchi +4
Large scale graph processing is a major research area for Big Data exploration. Vertex centric programming models like Pregel are gaining traction due to their simple abstraction t…