Name
Affiliation
Papers
BHUVAN URGAONKAR
Intel Corporation, 2111NE 25th Avenue, Hillsboro, OR 97124
88
Collaborators
Citations 
PageRank 
118
2309
158.10
Referers 
Referees 
References 
4280
2034
1453
Search Limit
1001000
Title
Citations
PageRank
Year
Splice: An Automated Framework for Cost-and Performance-Aware Blending of Cloud Services00.342022
TraceSplitter: a new paradigm for downscaling traces00.342021
SplitServe: Efficiently Splitting Apache Spark Jobs Across FaaS and IaaS00.342020
Fair Write Attribution and Allocation for Consolidated Flash Cache00.342020
Heterogeneous MacroTasking (HeMT) for Parallel Processing in the Cloud00.342020
BurScale - Using Burstable Instances for Cost-Effective Autoscaling in the Public Cloud.10.352019
SpIitServe - Efficiently Splitting Complex Workloads Across FaaS and IaaS.00.342019
On a Caching System with Object Sharing00.342019
Fair Resource Allocation in Consolidated Flash Systems.00.342019
A Cost-Aware Fair Allocation Mechanism for Multi-Resource Servers20.362019
Spock: Exploiting Serverless Functions for SLO and Cost Aware Resource Procurement in Public Cloud20.392019
Scheduling Distributed Resources in Heterogeneous Private Clouds10.372018
Constrained Max-Min Fair Scheduling of Variable-Length Packet-Flows to Multiple Servers.00.342018
Heterogeneous MacroTasking (HeMT) for Parallel Processing in the Public Cloud.00.342018
Effective Capacity Modulation as an Explicit Control Knob for Public Cloud Profitability.40.422018
A Cost-Efficient and Fair Multi-Resource Allocation Mechanism for Self-Organizing Servers.00.342018
An Efficient and Fair Multi-Resource Allocation Mechanism for Heterogeneous Servers.80.502018
An Empirical Analysis of Amazon EC2 Spot Instance Features Affecting Cost-effective Resource Procurement.40.422018
Online Scheduling of Spark Workloads with Mesos using Different Fair Allocation Algorithms.10.352018
Resource Accounting of Shared IT Resources in Multi-Tenant Clouds00.342017
Competition and Peak-Demand Pricing in Clouds Under Tenants’ Demand Response10.352017
Efficient max-min and proportional fair constrained multiresource scheduling.00.342017
Exploiting Spot and Burstable Instances for Improving the Cost-efficacy of In-Memory Caches on the Public Cloud.50.402017
Using Burstable Instances in the Public Cloud: Why, When and How?10.352017
Per-Server Dominant-Share Fairness (Ps-Dsf): A Multi-Resource Fair Allocation Mechanism For Heterogeneous Servers00.342017
Neutrality in Future Public Clouds: Implications and Challenges.30.402016
Towards Performance Modeling as a Service by Exploiting Resource Diversity in the Public Cloud10.352016
Fine-Grained Resource Scaling in a Public Cloud: A Tenant's Perspective20.382016
Profiling Memory Vulnerability of Big-Data Applications00.342016
Max-min Fair scheduling of variable-length packet-flows to multiple servers by deficit round-robin20.382016
On Fair Attribution of Costs under Peak-Based Pricing to Cloud Tenants90.512015
Recouping Energy Costs From Cloud Tenants: Tenant Demand Response Aware Pricing Design190.982015
Network calculus for parallel processing.40.412015
A case for virtualizing the electric utility in cloud data centers100.572014
A Hierarchical Demand Response Framework for Data Center Power Cost Optimization under Real-World Electricity Pricing150.692014
HybridPlan: a capacity planning technique for projecting storage requirements in hybrid storage systems40.402014
Towards a leaner geo-distributed cloud infrastructure90.652014
Using dark fiber to displace diesel generators40.412013
Pricing of service in clouds: optimal response and strategic interactions40.422013
Data Center Power Cost Optimization via Workload Modulation80.532013
A Temporal Locality-Aware Page-Mapped Flash Translation Layer70.462013
Aggressive Datacenter Power Provisioning with Batteries200.802013
Cloudy with a Chance of Cost Savings120.822013
ACE: abstracting, characterizing and exploiting peaks and valleys in datacenter power consumption70.492013
A Case for Heterogeneous Flash in the Datacenter00.342013
ACE: Abstracting, characterizing and exploiting datacenter power demands70.542013
Data Center Cost Optimization Via Workload Modulation Under Real-World Electricity Pricing.60.552013
Using batteries to reduce the power costs of internet-scale distributed networks280.972012
Carbon-Aware Energy Capacity Planning for Datacenters612.192012
Energy storage in datacenters: what, where, and how much?873.762012
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