Ph.D. Candidate

Computer Science Department
Boston University
Curriculum Vitae (Jan, 2019)

Emine Ugur Kaynar

ukaynar@bu.edu G. Scholar GitHub Linkedin

Emine Ugur Kaynar

I am a Ph.D. candidate in the Department of Computer Science at Boston University working with Prof. Orran Krieger, Prof. Larry Rudolph and Prof. Peter Desnoyers. I’m a member of the Systems Research Group and associated with Mass Open Cloud (MOC).

Research Interests

My research interests lie broadly in the fields of storage systems, cloud computing and big data analytics. Currently, my research is focused on storage-related topics including caching systems, erasure coding and distributed storage systems.

Current Projects

D3N: A multi-layer cache for improving big-data applications performance

  • D3N is a throughput-oriented multi-layer caching architecture that mitigates network imbalances by caching data on the access side of each layer of a hierarchical network topology. The prototype of D3N, which incorporates a two-layer cache has been implemented as a modification to Red Hat Ceph Storages RADOS Gateway in the Massachusetts Open Cloud datacenter. To fully utilize bandwidth within each layer under dynamic conditions, D3N provides an algorithm that adaptively adjusts cache sizes based on observed workload patterns and congestion. D3N is highly-performant and significantly improves big-data jobs performance.
  • Project Page

Erasure Coding for Performance

  • In this project, we provide a detailed performance comparison of replication and erasure coding in a modern distributed object store deployment using a simple mathematical model and empirical analysis, and investigate the impact of storage solution characteristics (e.g. disk capacity, network bandwidth) and workloads I/O profiles (read/write ratios) on the performance. In addition, we show that a simple read cache increases the write fraction of the workload significantly, where erasure coding has an great advantage. For both approaches, we point the possible improvements which may improve the performance of redundancy solutions.

Publications

  • D3N: A multi-level cache for improving big-data applications’ performance in datacenters with imbalanced networks
    E. Ugur Kaynar, Mohammad Hossein Hajkazemi, Mania Abdi, Ata Turk, Raja R Sambasivan, Larry Rudolph, David Cohen, Peter Desnoyers, Orran Krieger, USENIX ATC ’18 - [Poster]

  • M2: Malleable Metal as a Service
    Apoorve Mohan, Ata Turk, Ravi S Gudimetla, Sahil Tikale, Jason Hennesey, E. Ugur Kaynar, Gene Cooperman, Peter Desnoyers, Orran Krieger, IEEE IC2E 2018 [PDF]

  • An Experiment on Bare-Metal BigData Provisioning
    Ata Turk, Ravi S. Gudimetla, Emine Ugur Kaynar, Jason Hennessey, Sahil Tikale, Peter Desnoyers, Orran Krieger, USENIX HotCloud 2016 [PDF]

  • HIL: Designing an Exokernel for the Data Center
    Jason Hennessey, Sahil Tikale, Ata Turk, Emine Ugur Kaynar, Chris Hill, Peter Desnoyers, Orran Krieger, SoCC 2016 [PDF]

  • Performance Analysis of Encryption in Securing the Live Migration of Virtual Machines
    Yaohui Hu, Sanket Panhale, TIanlin Li, Emine Ugur Kaynar, Danny Chan, Umesh Deshpande, Ping Yang, Kartik Gopalan IEEE CLOUD 2015 [PDF]

Research Experience

  • RedHat Inc, Boston
    May 2017 - Present
    Ceph Research Intern

  • Mass Open Cloud, Boston
    May 2015 - Present
    Research Student

Teaching

Department of Computer Science, Boston University
  • CS 591/ EC500 Cloud Computing
  • CS 108 Introduction to Application Programming
  • CS 111 Introduction to Computer Science
Department of Computer Science, SUNY at Binghamton
  • CS458/CS558 Introduction to Computer Security
  • CS 571 Programming Languages

Ph.D. Candidate

Computer Science Department
Boston University
Curriculum Vitae (Jan, 2019)

Emine Ugur Kaynar