Search Results - "Kosar, Tevfik"

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  1. 1

    End-to-End Data-Flow Parallelism for Throughput Optimization in High-Speed Networks by Yildirim, Esma, Kosar, Tevfik

    Published in Journal of grid computing (01-09-2012)
    “…The increase in the data produced by large-scale scientific applications necessitates innovative solutions for efficient transfer of data. Although the current…”
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    Journal Article
  2. 2

    SMURF: Efficient and Scalable Metadata Access for Distributed Applications by Zhang, Bing, Kosar, Tevfik

    “…In parallel with big data processing and analysis dominating the usage of distributed and Cloud infrastructures, the demand for distributed metadata access and…”
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    Journal Article
  3. 3

    High-Speed Transfer Optimization Based on Historical Analysis and Real-Time Tuning by Arslan, Engin, Kosar, Tevfik

    “…Data-intensive scientific and commercial applications increasingly require frequent movement of large datasets from one site to the other(s). Despite growing…”
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    Journal Article
  4. 4

    A new paradigm: Data-aware scheduling in grid computing by Kosar, Tevfik, Balman, Mehmet

    Published in Future generation computer systems (01-04-2009)
    “…Efficient and reliable access to large-scale data sources and archiving destinations in a widely distributed computing environment brings new challenges. The…”
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    Journal Article
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    WPaxos: Wide Area Network Flexible Consensus by Ailijiang, Ailidani, Charapko, Aleksey, Demirbas, Murat, Kosar, Tevfik

    “…WPaxos is a multileader Paxos protocol that provides low-latency and high-throughput consensus across wide-area network (WAN) deployments. WPaxos uses…”
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    Journal Article
  7. 7

    Big data transfer optimization through adaptive parameter tuning by Arslan, Engin, Pehlivan, Bahadir A., Kosar, Tevfik

    “…Obtaining optimal data transfer performance is of utmost importance to today’s data-intensive distributed applications and wide-area data replication services…”
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    Journal Article
  8. 8

    Energy-aware data throughput optimization for next generation internet by Kosar, Tevfik, Alan, Ismail, Bulut, M. Fatih

    Published in Information sciences (01-02-2019)
    “…According to recent statistics, more than 1 zettabytes of data is moved over the Internet annually, which consumes several terawatt hours of electricity, and…”
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    Journal Article
  9. 9

    Application-Level Optimization of Big Data Transfers through Pipelining, Parallelism and Concurrency by Yildirim, Esma, Arslan, Engin, Jangyoung Kim, Kosar, Tevfik

    Published in IEEE transactions on cloud computing (01-01-2016)
    “…In end-to-end data transfers, there are several factors affecting the data transfer throughput, such as the network characteristics (e.g., network bandwidth,…”
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    Journal Article
  10. 10

    Energy-Aware HTTP Data Transfers by Alan, Ismail, Kosar, Tevfik

    “…Every year, we move more than 1 zettabytes of data over the Internet globally, which consumes several terawatt hours of electricity, and costs billions of US…”
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    Conference Proceeding
  11. 11

    A Two-Phase Dynamic Throughput Optimization Model for Big Data Transfers by Nine, MD S Q Zulkar, Kosar, Tevfik

    “…The amount of data transferred over dedicated and non-dedicated network links has been increasing much faster than the increase in the network capacity. On the…”
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    Journal Article
  12. 12

    Energy-Efficient Data Transfer Optimization via Decision-Tree Based Uncertainty Reduction by Jamil, Hasibul, Rodolph, Lavone, Goldverg, Jacob, Kosar, Tevfik

    “…The increase and rapid growth of data produced by scientific instruments, the Internet of Things (IoT), and social media is causing data transfer performance…”
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    Conference Proceeding
  13. 13

    Modeling throughput sampling size for a cloud-hosted data scheduling and optimization service by Yildirim, Esma, Kim, Jangyoung, Kosar, Tevfik

    Published in Future generation computer systems (01-09-2013)
    “…As big-data processing and analysis dominates the usage of the Cloud systems, the need for Cloud-hosted data scheduling and optimization services increases…”
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    Journal Article
  14. 14

    Stork data scheduler: mitigating the data bottleneck in e-Science by Kosar, Tevfik, Balman, Mehmet, Yildirim, Esma, Kulasekaran, Sivakumar, Ross, Brandon

    “…In this paper, we present the Stork data scheduler as a solution for mitigating the data bottleneck in e-Science and data-intensive scientific discovery. Stork…”
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    Journal Article
  15. 15

    A highly-accurate and low-overhead prediction model for transfer throughput optimization by Kim, JangYoung, Yildirim, Esma, Kosar, Tevfik

    Published in Cluster computing (01-03-2015)
    “…An important bottleneck for data-intensive scalable computing systems is efficient utilization of the network links that connect the collaborating institutions…”
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    Journal Article
  16. 16

    Prediction of Optimal Parallelism Level in Wide Area Data Transfers by Yildirim, E., Dengpan Yin, Kosar, T.

    “…Wide area data transfer may be a major bottleneck for the end-to-end performance of distributed applications. A practical way of increasing the wide area…”
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    Journal Article
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    A Highly-Accurate and Low-Overhead Prediction Model for Transfer Throughput Optimization by JangYoung Kim, Yildirim, Esma, Kosar, Tevfik

    “…An important bottleneck for data-intensive scalable computing systems is efficient utilization of the network links that connect the collaborating institutions…”
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    Conference Proceeding
  19. 19

    A Data Throughput Prediction and Optimization Service for Widely Distributed Many-Task Computing by Dengpan Yin, Yildirim, E, Kulasekaran, S, Ross, B, Kosar, T

    “…In this paper, we present the design and implementation of an application-layer data throughput prediction and optimization service for many-task computing in…”
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    Journal Article
  20. 20

    URegM: a unified prediction model of resource consumption for refactoring software smells in open source cloud by Imran, Asif, Kosar, Tevfik

    Published 22-10-2023
    “…2022 The 3rd European Symposium on Software Engineering (ESSE 2022) The low cost and rapid provisioning capabilities have made the cloud a desirable platform…”
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    Journal Article