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B. Urgaonkar

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • cs.DC1
  • cs.PF1

identity via Semantic Scholar / OpenAlex

most citedAn Efficient and Fair Multi-Resource Allocation Mechanism for Heterogeneous Servers

2 citations · 2 across the 1 of their papers we have counts for

collaborators

4 papers

cs.PF2019

On a caching system with object sharing

George Kesidis, Nader Alfares, Xi Li +3

We consider a content-caching system thatis shared by a number of proxies. The cache could belocated in an edge-cloud datacenter and the proxies couldeach serve a large population…

cs.PF2018

Heterogeneous MacroTasking (HeMT) for Parallel Processing in the Public Cloud

Yuquan Shan, George Kesidis, Bhuvan Urgaonkar +3

Using tiny, equal-sized tasks (Homogeneous microTasking, HomT) has long been regarded an effective way of load balancing in parallel computing systems. When combined with nodes pul…

cs.PF2018

Online Scheduling of Spark Workloads with Mesos using Different Fair Allocation Algorithms

Yuquan Shan, Aman Jain, George Kesidis +3

In the following, we present example illustrative and experimental results comparing fair schedulers allocating resources from multiple servers to distributed application framework…

cs.DC2017★ 2 cited

An Efficient and Fair Multi-Resource Allocation Mechanism for Heterogeneous Servers

Jalal Khamse-Ashari, Ioannis Lambadaris, George Kesidis +2

Efficient and fair allocation of multiple types of resources is a crucial objective in a cloud/distributed computing cluster. Users may have diverse resource needs. Furthermore, di…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.