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Seung-Jong Park
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2020 – today
- 2024
- [j21]Hanfei Yu
, Hao Wang
Freyr $^+$+: Harvesting Idle Resources in Serverless Computing via Deep Reinforcement Learning. IEEE Trans. Parallel Distributed Syst. 35(11): 2254-2269 (2024) - [c37]Hanfei Yu
RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing. ASPLOS (1) 2024: 335-350 - 2023
- [c36]Hanfei Yu
Libra: Harvesting Idle Resources Safely and Timely in Serverless Clusters. HPDC 2023: 181-194 - 2022
- [c35]Hanfei Yu
Accelerating Serverless Computing by Harvesting Idle Resources. WWW 2022: 1741-1751 - 2021
- [i1]Hanfei Yu, Hao Wang, Jian Li, Seung-Jong Park:
Harvesting Idle Resources in Serverless Computing via Reinforcement Learning. CoRR abs/2108.12717 (2021) - 2020
- [c34]Sayan Goswami
Distributed de novo assembler for large-scale long-read datasets. IEEE BigData 2020: 1166-1175 - [c33]Dipak Kumar Singh, Shayan Shams, Joohyun Kim, Seung-Jong Park, Seungwon Yang:
Fighting for Information Credibility: AnEnd-to-End Framework to Identify FakeNews during Natural Disasters. ISCRAM 2020: 90-99
2010 – 2019
- 2019
- [j20]Lei Zou
Social and geographical disparities in Twitter use during Hurricane Harvey. Int. J. Digit. Earth 12(11): 1300-1318 (2019) - 2018
- [c32]Shayan Shams, Richard Platania, Joohyun Kim, Jian Zhang, Kisung Lee, Seungwon Yang, Seung-Jong Park
A Distributed Semi-Supervised Platform for DNase-Seq Data Analytics using Deep Generative Convolutional Networks. BCB 2018: 244-253 - [c31]Arghya Kusum Das, Kisung Lee, Seung-Jong Park
ParLECH: Parallel Long-Read Error Correction with Hadoop. BIBM 2018: 341-348 - [c30]Shayan Shams, Sayan Goswami
Towards Distributed Cyberinfrastructure for Smart Cities Using Big Data and Deep Learning Technologies. ICDCS 2018: 1276-1283 - [c29]Sayan Goswami
GPU-Accelerated Large-Scale Genome Assembly. IPDPS 2018: 814-824 - [c28]Shayan Shams, Richard Platania, Jian Zhang, Joohyun Kim, Seung-Jong Park
Deep Generative Breast Cancer Screening and Diagnosis. MICCAI (2) 2018: 859-867 - 2017
- [j19]Richard Platania
Hadoop-based replica exchange over heterogeneous distributed cyberinfrastructures. Concurr. Comput. Pract. Exp. 29(4) (2017) - [j18]Andrew Case
Gaslight: A comprehensive fuzzing architecture for memory forensics frameworks. Digit. Investig. 22 Supplement: S86-S93 (2017) - [j17]Arghya Kusum Das, Praveen Kumar Koppa, Sayan Goswami
Large-scale parallel genome assembler over cloud computing environment. J. Bioinform. Comput. Biol. 15(3): 1740003:1-1740003:21 (2017) - [c27]Chui-Hui Chiu, Dipak Kumar Singh, Qingyang Wang, Seung-Jong Park
Coflourish: An SDN-Assisted Coflow Scheduling Framework for Clouds. CLOUD 2017: 1-8 - [c26]Arghya Kusum Das, Jae-Ki Hong, Sayan Goswami
Augmenting Amdahl's Second Law: A Theoretical Model to Build Cost-Effective Balanced HPC Infrastructure for Data-Driven Science. CLOUD 2017: 147-154 - [c25]Chui-Hui Chiu, Dipak Kumar Singh, Qingyang Wang, Kisung Lee, Seung-Jong Park
Minimal Coflow Routing and Scheduling in OpenFlow-Based Cloud Storage Area Networks. CLOUD 2017: 222-229 - [c24]Richard Platania, Shayan Shams, Seungwon Yang, Jian Zhang, Kisung Lee, Seung-Jong Park
Automated Breast Cancer Diagnosis Using Deep Learning and Region of Interest Detection (BC-DROID). BCB 2017: 536-543 - [c23]Shayan Shams, Richard Platania, Kisung Lee, Seung-Jong Park
Evaluation of Deep Learning Frameworks Over Different HPC Architectures. ICDCS 2017: 1389-1396 - 2016
- [j16]Lin Xue, Suman Kumar
Towards fair and low latency next generation high speed networks: AFCD queuing. J. Netw. Comput. Appl. 70: 183-193 (2016) - [c22]Sayan Goswami
Lazer: Distributed memory-efficient assembly of large-scale genomes. IEEE BigData 2016: 1171-1181 - [c21]Chui-Hui Chiu, Nathan Lewis, Dipak Kumar Singh, Arghya Kusum Das, Mohammad M. Jalazai, Richard Platania, Sayan Goswami
BIC-LSU: Big Data Research Integration with Cyberinfrastructure for LSU. XSEDE 2016: 28:1-28:8 - 2015
- [j15]Cheng Cui, Lin Xue
Exploring parallelism and desynchronization of TCP over high speed networks with tiny buffers. Comput. Commun. 69: 60-68 (2015) - [c20]Nayong Kim, Richard Platania, Wei Huang, Chris Knight, Tom Keyes, Seung-Jong Park, Joohyun Kim:
Enabling Large-Scale Biomolecular Conformation Search with Replica Exchange Statistical Temperature Molecular Dynamics (RESTMD) over HPC and Cloud Computing Resources. AINA Workshops 2015: 61-66 - [c19]Arghya Kusum Das, Seung-Jong Park
Evaluating different distributed-cyber-infrastructure for data and compute intensive scientific application. IEEE BigData 2015: 134-143 - [c18]Lin Xue, Chui-Hui Chiu, Suman Kumar, Praveenkumar Kondikoppa, Seung-Jong Park
FaLL: A fair and low latency queuing scheme for data center networks. ICNC 2015: 771-777 - 2014
- [j14]Suman Kumar
Impact of Loss Synchronization on Reliable High Speed Networks: A Model Based Simulation. J. Comput. Networks Commun. 2014: 795489:1-795489:12 (2014) - [j13]Lin Xue, Cheng Cui, Suman Kumar, Seung-Jong Park
Impact of Queue Management Schemes and TCP Variants on the Performance of 10Gbps High Speed Networks: An Experimental Study. J. Networks 9(5): 1183-1192 (2014) - [j12]Lin Xue
A study of fairness among heterogeneous TCP variants over 10 Gbps high-speed optical networks. Opt. Switch. Netw. 13: 124-134 (2014) - [c17]Cheng Cui, Lin Xue, Chui-Hui Chiu, Praveenkumar Kondikoppa, Seung-Jong Park
DMCTCP: Desynchronized Multi-Channel TCP for high speed access networks with tiny buffers. ICCCN 2014: 1-8 - [c16]Umesh Chandra Satish, Praveenkumar Kondikoppa, Seung-Jong Park
MapReduce based parallel suffix tree construction for human genome. ICPADS 2014: 664-670 - [c15]Praveenkumar Kondikoppa, Richard Platania, Seung-Jong Park
MapReduce-Based RESTMD: Enabling Large-Scale Sampling Tasks with Distributed HPC Systems. IWSG 2014: 30-35 - 2013
- [c14]Shuju Bai, Ebrahim Khosravi, Seung-Jong Park:
An MPI-enabled MapReduce framework for molecular dynamics simulation applications. BIBM 2013: 1-3 - [c13]Jin Niu, Shuju Bai, Ebrahim Khosravi, Seung-Jong Park:
A Hadoop approach to advanced sampling algorithms in molecular dynamics simulation on cloud computing. BIBM 2013: 452-455 - [c12]Manish Patil, Xuanting Cai, Sharma V. Thankachan, Rahul Shah, Seung-Jong Park, David W. Foltz:
Approximate string matching by position restricted alignment. EDBT/ICDT Workshops 2013: 384-391 - [c11]Lin Xue, Suman Kumar, Cheng Cui, Praveenkumar Kondikoppa, Chui-Hui Chiu, Seung-Jong Park
AFCD: An Approximated-Fair and Controlled-Delay Queuing for High Speed Networks. ICCCN 2013: 1-7 - 2012
- [c10]Lin Xue, Cheng Cui, Suman Kumar, Seung-Jong Park:
Experimental evaluation of the effect of queue management schemes on the performance of high speed TCPs in 10Gbps network environment. ICNC 2012: 315-319 - [c9]Lin Xue, Suman Kumar, Cheng Cui, Seung-Jong Park
An evaluation of fairness among heterogeneous TCP variants over 10Gbps high-speed networks. LCN 2012: 344-347 - 2010
- [j11]Seung-Jong Park
Congestion-aware topology controls for wireless multi-hop networks. Ad Hoc Networks 8(3): 295-312 (2010) - [j10]Suman Kumar
A loss-event driven scalable fluid simulation method for high-speed networks. Comput. Networks 54(1): 112-132 (2010) - [j9]Yixin Wu, Suman Kumar
Measurement and performance issues of transport protocols over 10 Gbps high-speed optical networks. Comput. Networks 54(3): 475-488 (2010)
2000 – 2009
- 2009
- [j8]Suman Kumar, Seung-Jong Park:
Probability model for data redundancy detection in sensor networks. Mob. Inf. Syst. 5(2): 195-204 (2009) - [c8]Yixin Wu, Suman Kumar, Seung-Jong Park
On Transport Protocol Performance Measurement over 10Gbps High Speed Optical Networks. ICCCN 2009: 1-6 - 2008
- [j7]Seung-Jong Park
Energy Efficient Correlated Data Aggregation for Wireless Sensor Networks. Int. J. Distributed Sens. Networks 4(1): 13-27 (2008) - [j6]Yujie Zhu, Ramanuja Vedantham, Seung-Jong Park
A scalable correlation aware aggregation strategy for wireless sensor networks. Inf. Fusion 9(3): 354-369 (2008) - [j5]Seung-Jong Park
GARUDA: Achieving Effective Reliability for Downstream Communication in Wireless Sensor Networks. IEEE Trans. Mob. Comput. 7(2): 214-230 (2008) - 2007
- [j4]Ramanuja Vedantham, Raghupathy Sivakumar, Seung-Jong Park
Sink-to-sensors congestion control. Ad Hoc Networks 5(4): 462-485 (2007) - [c7]Suman Kumar, Seung-Jong Park, S. Sitharama Iyengar, Jung-Han Kimn:
Time-Adaptive Numerical Simulation for High Speed Networks. HPCNCS 2007: 198-205 - 2005
- [c6]Ramanuja Vedantham, Raghupathy Sivakumar, Seung-Jong Park
Sink-to-sensors congestion control. ICC 2005: 3211-3217 - [c5]Yujie Zhu, Ramanuja Vedantham, Seung-Jong Park, Raghupathy Sivakumar:
A scalable correlation aware aggregation strategy for wireless sensor networks. WICON 2005: 122-129 - 2004
- [b1]Seung-Jong Park:
Energy-Aware Topology Control and Data Delivery in Wireless Sensor Networks. Georgia Institute of Technology, Atlanta, GA, USA, 2004 - [j3]Vaidyanathan Anantharaman, Seung-Jong Park
TCP performance over mobile ad hoc networks: a quantitative study. Wirel. Commun. Mob. Comput. 4(2): 203-222 (2004) - [c4]Seung-Jong Park
A scalable approach for reliable downstream data delivery in wireless sensor networks. MobiHoc 2004: 78-89 - 2003
- [j2]Seung-Jong Park
Sink-to-sensors reliability in sensor networks. ACM SIGMOBILE Mob. Comput. Commun. Rev. 7(3): 27-28 (2003) - [j1]Seung-Jong Park
Adaptive topology control for wireless Ad hoc networks. ACM SIGMOBILE Mob. Comput. Commun. Rev. 7(3): 37-38 (2003) - 2002
- [c3]Seung-Jong Park
Load-sensitive transmission power control in wireless ad-hoc networks. GLOBECOM 2002: 42-46 - [c2]Seung-Jong Park
Quantitative Analysis of Transmission Power Control in Wireless Ad-hoc Networks. ICPP Workshops 2002: 56-63
1990 – 1999
- 1994
- [c1]Sung-Joo Kim, Seung-Jong Park
Complexity reduction methods for vector sum excited linear prediction coding. ICSLP 1994: 2071-2074
Coauthor Index
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