-
Danlin Jia, Geng Yuan, Yingmin Xie, Xue Lin, and Ningfang Mi,
“A Data-Loader Tunable Knob to Shorten GPU Idleness for Distributed Deep Learning”,
accepted, ACM Transactions on Architecture and Code Optimization (TACO), 2024.
-
Danlin Jia, Li Wang, Natalia Valencia, Janki Bhimani, Bo Sheng, and Ningfang Mi
“Learning-based Dynamic Memory Allocation Schemes for Apache Spark Data Processing”,
IEEE Transactions on Cloud Computing (TCC), 12(1): 13-25, 2024.
-
Janki Bhimani, Adnan Maruf, Ningfang Mi, Rajinikanth Pandurangan, and Vijay Balakrishnan
"Auto-Tuning Parameters for Emerging Multi-Stream Flash-Based Storage Drives Through New I/O Pattern Generations",
IEEE Transactions on ComputersIEEE Transactions on Computers (TC), 71(2), 309-322, 2022.
-
Janki Bhimani, Zhengyu Yang, Jingpei Yang, Adnan Maruf, Ningfang Mi, Rajinikanth Pandurangan, Changho Choi, and Vijay Balakrishnan,
"Automatic Stream Identification to Improve Flash Endurance in Data Centers",
ACM Transactions on Storage (TOS), 18(2): 1-29, 2022.
-
Zhengyu Yang, Manu Awasthi, Mrinmoy Ghosh, Janki Bhimani, Ningfang Mi,
"
I/O Workload Management for All-Flash Datacenter Storage Systems Based on Total Cost of Ownership
",
IEEE Transactions on Big Data (TBDSI), 8(2): 332-345, 2022.
-
Allen Yang, Jiayin Wang, Ying Mao, Yi Yao, Ningfang Mi, and Bo Sheng,
"Optimizing Internal Overlaps by Self-Adjusting Resource Allocation in Multi-Stage Computing Systems",
IEEE Access, 9: 88805 - 88819, 2021.
-
Yi Yao, Han Gao , Jiayin Wang, Bo Sheng, and Ningfang Mi,
"
New Scheduling Algorithms for Improving Performance and Resource Utilization in Hadoop YARN Clusters
", IEEE Transactions on Cloud Computing (TCC), 9(3): 1158 - 1171, 2021.
-
Zhengyu Yang, Yi Yao, Han Gao, Ningfang Mi, and Bo Sheng,
"
New YARN Non-Exclusive Resource Management Scheme Through
Opportunistic Idle Resource Assignment
", IEEE Transactions on Cloud Computing (TCC), 9(2): 696-709, 2021.
-
Janki Bhimani, Ningfang Mi, Miriam Leeser, and Zhengyu Yang,
"
New Performance Modeling Methods for Parallel Data Processing
Applications
",
ACM Transactions on Modeling and Computer Simulation (TOMACS), 29(3): 15:1--15:24, 2019.
-
Rundong Li, Ningfang Mi, Mirek Riedewald, Yizhou Sun, and Yi Yao,
"
Abstract cost models for distributed data-intensive computations
",
preprint,
Distributed and Parallel Databases (DAPD), 37(3): 411-439, 2019.
-
Janki Bhimani, Zhengyu Yang, Ningfang Mi, Jingpei Yang, Qiumin Xu, Manu Awasthi, Rajinikanth
Pandurangan, and Vijay Balakrishnan,
"
Docker Container Scheduler for I/O Intensive Applications running on NVMe SSDs
",
IEEE Transactions on Multi-Scale Computing Systems (TMSCS), 4(3): 313-326, 2018.
-
Zhengyu Yang, Janki Bhimani, Yi Yao, Cho-Hsien Lin, Jiayin Wang, Ningfang Mi, and Bo Sheng,
"
AutoAdmin: Admission Control in YARN Clusters Based on Dynamic Resource Reservation
",
Scalable Computing: Practice and
Experience, Special Issue on Advances in Emerging Wireless Communications and Networking (SCPE), 19(1): 53–67, 2018.
-
Zhengyu Yang, Yufeng Wang, Janki Bhimani, Chiu C. Tan, and Ningfang Mi,
"
EAD: Elasticity Aware Deduplication Manager for Datacenters with Multi-tier Storage Systems
",
Cluster Computing (CC), 21(3): 1561-1579, 2018.
-
Zhengyu Yang, Janki Bhimani, Jiayin Wang, David Evans, and Ningfang Mi,
"
Automatic and Scalable Data
Replication Manager in Distributed Computation and Storage Infrastructure of Cyber-Physical Systems
",
Scalable Computing: Practice and Experience, Special Issue on
Communication, Computing, and Networking in Cyber-Physical
Systems (SCPE), 18(4): 291-312, 2017.
-
Jianzhe Tai, Deng Liu, Zhengyu Yang, Xiaoyun Zhu,
Jack Lo, and Ningfang Mi, "
Improving Flash Resource Utilization at Minimal Management Cost in Virtualized Flash-based
Storage Systems", IEEE Transactions on Cloud Computing (TCC), vol. 5(3): 537-549,
2017.
-
Yi Yao, Jiayin Wang, Bo Sheng, Chiu C. Tan, and Ningfang Mi,
" Self-Adjusting Slot Configurations for
Homogeneous and Heterogeneous Hadoop Clusters", IEEE Transactions on Cloud Computing (TCC),
5(2): 344-357, 2017.
-
Yi Yao, Bo Sheng, and Ningfang Mi, "A New Packet Scheduling Algorithm for Access Points in Crowded WLANs", Journal of Ad Hoc Networks (Ad Hoc), 36(1):100-110, 2016.
-
Jianzhe Tai, Bo Sheng, Yi Yao, and Ningfang Mi,
"SLA-Aware Data Migration in A Shared Hybrid Storage Cluster", Journal of Cluster Computing (CC), 18(4):1581-1593, 2015.
-
Yi Yao, Jianzhe Tai, Bo Sheng, and Ningfang Mi, "LsPS: A Job Size-Based Scheduler for Efficient Assignments in Hadoop", IEEE Transactions on Cloud Computing
(TCC), 3(4):411-424, 2015.
-
Jianzhe Tai, Zhen Li, Jiahui Chen, and
Ningfang Mi, "Load balancing for cluster systems under heavy-tailed and temporal
dependent workloads", Simulation Modelling Practice and Theory (SIMPAT), 44:
63-77, 2014.
-
Giuliano Casale, Ningfang
Mi, Ludmila Cherkasova, and Evgenia Smirni, "Dealing
with Burstiness in Multi-Tier Applications: New Models and Their Parameterization", IEEE Transactions on Software Engineering (TSE), 38(5), 1040 - 1053, 2012.
-
Ningfang
Mi, Giuliano Casale, and Evgenia Smirni, "ASIdE: Using Autocorrelation-
Based Size Estimation for Scheduling Bursty Workloads", IEEE Transactions on Network and Service Management (TNSM), 9(2): 198-212, 2012.
-
-
-
-
-
Ningfang Mi,
Alma Riska, Qi Zhang, Evgenia Smirni, and Eric Riedel, "Efficient Management of
Idleness in Systems", ACM Transactions on Storage
(TOS), Vol. 5, No. 2, Article 4, June 2009.
-
-
-
Ningfang Mi, Qi Zhang, Alma
Riska, Evgenia Smirni, and Eric Riedel, "Performance Impacts of Autocorrelated
Flows in Multi-tiered Systems", in Performance Evaluation,
Vol 64, No. 9-12 pp. 1082-1101, Oct. 2007. Also presented at the 26th
International Symposium on Computer Performance, Modeling,
Measurements, and Evaluation (Performance'07),
Cologne, Germany, 2007. Acceptance Rate: 20%.
-
-
Danny Z. Chen, Ovidiu Daescu, John
Hershberger, Peter M. Kogge,
Ningfang Mi, and Jack
Snoeyink, "
Polygonal Path
Approximation with Angle Constraints", in Computational Geometry:
Theory & Applications, Vol. 32, No. 3, pp. 173-187, 2005.
-
-
Manoj Saha, Danlin Jia, Janki Bhimani and Ningfang Mi,
“MoKE: Modular Key-value Emulator for Realistic Studies on Emerging Storage Devices”,
in
IEEE 16th International Conference on Cloud Computing
(CLOUD'23), June 2023. (Work-in-Progress (WiP) Track)
-
Danlin Jia, Yiming Xie, Li Wang, Xiaoqian Zhang, Allen Yang, Xuebin Yao, Mahsa Bayati, Pradeep Subedi, Bo Sheng, and
Ningfang Mi,
"SRC: Mitigate I/O Throughput Degradation in Network Congestion Control of Disaggregated Storage Systems",
in
37th IEEE International Parallel & Distributed Processing Symposium
(IPDPS'23), May 2023.
-
Xiaoqian Zhang, Allen Yang, Danlin Jia, Li Wang, Mahsa Bayati, Pradeep Subedi, Xuebin Yao, Bo Sheng, and Ningfang Mi,
"DIRS: Dynamic Initial Rate Setting in Congestion Control for Disaggregated Storage Systems",
in
International Conference on Computing, Networking and Communications
(ICNC'23), Feb. 2023.
-
Danlin Jia, Geng Yuan, Xue Lin and Ningfang Mi, "A Data-Loader Tunable Knob to Shorten GPU Idleness for Distributed Deep Learning",
in
IEEE 15th International Conference on Cloud Computing
(CLOUD'22), July 2022.
-
Danlin Jia, Tengpeng Li, Xiaoqian Zhang, Li Wang, Mahsa Bayati, Ron Lee, Bo
Sheng, and Ningfang Mi, "SNIS: Storage-Network Iterative Simulation for Disaggregated Storage Systems",
in
40th IEEE International Performance Computing and Communications Conference
(IPCCC'21), Oct. 2021. (Short Paper)
-
Janki Bhimani, Jingpei Yang, Ningfang Mi, Changho Choi, Manoj Saha, and Adnan Maruf,
"Fine-grained control of concurrency within KV-SSDs",
in
14th ACM International Systems and Storage Conference
(SYSTOR’21), Jun. 2021. Acceptance Rate: 30%.
-
Danlin Jia, Manoj Pravakar Saha, Janki Bhimani, and Ningfang Mi,
"Performance and Consistency Analysis for Distributed Deep Learning Applications",
in
39th IEEE International Performance Computing and Communications Conference
(IPCCC'20), Oct. 2020. Acceptance Rate: 29.3%.
-
Mahsa Bayati, Harsh Roogi, Ron Lee, and Ningfang Mi,
"Deploying Network Key-Value SSDs to Disaggregate Resources in Big Data Processing Frameworks"
in
39th IEEE International Performance Computing and Communications Conference
(IPCCC'20), Oct. 2020. Acceptance Rate: 29.3%.
-
Danlin Jia, Mahsa Bayati, Ron Lee, and Ningfang Mi,
"RITA: Efficient Memory Allocation Scheme for Containerized Parallel Systems to Improve Data Processing Latency",
in
IEEE International Conference on Cloud Computing
(IEEE CLOUD'20), Oct. 2020. Acceptance Rate: 20.7%.
-
Mahsa Bayati, Miriam Leeser, and Ningfang Mi,
"Exploiting GPU Direct Access to Non-Volatile Memory to Accelerate Big Data Processing",
in
IEEE High Performance Extreme Computing Conference
(HPEC'20), Sept. 2020. (Outstanding Student Paper Award)
-
Janki Bhimani, Rajinikanth Pandurangan, Ningfang Mi and Vijay Balakrishnan,
"Emulate Processing of Assorted Database Server Applications on Flash-Based Storage in Datacenter
Infrastructures", in
38th IEEE International Performance Computing and Communications Conference
(IPCCC'19),
London, United Kingdom, Oct. 2019. Acceptance Rate: 28.4%.
-
Danlin Jia, Janki Bhimani, Nam Nguyen, Bo Sheng and Ningfang Mi,
"ATuMm: Auto-tuning Memory Manager in Apache Spark", in
38th IEEE International Performance Computing and Communications Conference
(IPCCC'19),
London, United Kingdom, Oct. 2019. Acceptance Rate: 28.4%.
-
Janki Bhimani, Tirthak Patel, Ningfang Mi, and Devesh Tiwari,
"What does Vibration do to Your SSD?", in
2019 Design Automation Conference
(DAC'19),
Las Vegas, NV, 2019. Acceptance Rate: 24.3%.
-
Mahsa Bayati, Janki Sharadkumar Bhimani, Ronald Lee and Ningfang Mi
"
Exploring Benefits of NVMe SSDs for Big Data Processing in Enterprise Data Centers
", in
5th International Conference on Big Data Computing and Communications
(BIGCOM'19),
Qingdao, China 2019.
-
Janki Bhimani, Ningfang Mi, Zhengyu Yang, Jingpei Yang, Rajinikanth Pandurangan, Changho Choi and Vijay Balakrishnan,
"
Feature Based I/O Stream Identification for Improving Endurance of Multi-Stream SSDs
", in
IEEE International Conference on Cloud Computing
(IEEE CLOUD'18),
San Francisco, CA, 2018. Acceptance Rate: 15%. (Best Paper Award)
-
Zhengyu Yang, Danli Jia, Stratis Ioannidis, Ningfang Mi, and Bo Sheng,
"
Intermediate Data Caching Optimization for Multi-Stage and Parallel Big Data Frameworks
", in
IEEE International Conference on Cloud Computing
(IEEE CLOUD'18),
San Francisco, CA, 2018. Acceptance Rate: 15%.
-
Janki Bhimani, Ningfang Mi, and Bo Sheng,
"
BloomStream: Data Temperature Identification for Flash Based Memory Storage Using Bloom Filters
", in
IEEE International Conference on Cloud Computing
(IEEE CLOUD'18),
San Francisco, CA, 2018. Acceptance Rate: 15%.
-
Nam Son Nguyen, Teng Wang, Tengpeng Li, Xiaoqian Zhang, Bo Sheng, Ningfang Mi, and Bin Zhao
"
OWLBIT: Orchestrating Wireless Transmissions for Launching Big Data
Platforms in an Internet of Things Environment
", in
IEEE International Conference on Cloud Computing
(IEEE CLOUD'18),
San Francisco, CA, 2018. Acceptance Rate: 15%.
-
Teng Wang, Nam Son Nguyen, Jiayin Wang, Tengpeng Li, Xiaoqian Zhang, Ningfang Mi, Bin Zhao, and Bo Sheng
"
RoVEr: Robust and Verifiable Erasure Code for Hadoop
Distributed File Systems
", in
27th International Conference on Computer Communication and Networks
(ICCCN'18),
Hangzhou, China, 2018. Acceptance Rate: 25%.
-
Zhengyu Yang, Morteza Hoseinzadeh, Ping Wong, John Artoux, Clay Mayers, David Thomas Evans, Rory Thomas
Bolt, Janki Bhimani, Ningfang Mi, and Steven Swanson,
"
H-NVMe: A Hybrid Framework of NVMe-based Storage System
in Cloud Computing Environment
", in
36th IEEE International Performance Computing and Communications Conference
(IPCCC'17),
San Diego, CA, 2017. (Best Paper Award)
-
Zhengyu Yang, Morteza Hoseinzadeh, Allen Andrews, Clay Mayers, David Thomas Evans, Rory Thomas Bolt,
Janki Bhimani, Ningfang Mi, and Steven Swanson,
"
AutoTiering: Automatic Data Placement Manager in Multi-Tier
All-Flash Datacenter
", in
36th IEEE International Performance Computing and Communications Conference
(IPCCC'17),
San Diego, CA, 2017.
-
Baiyu Chen, Zhengyu Yang, Siyu Huang, Xianzhi Du, Zhiwei Cui, Janki Bhimani, Xin Xie, and Ningfang Mi,
"
Cyber-Physical System Enabled Nearby Traffic Flow Modelling for Autonomous Vehicles
", in
36th IEEE International Performance Computing and Communications Conference, Special Session on Cyber Physical
Systems: Security,
Computing, and Performance
(IPCCC-CPS'17),
San Diego, CA, 2017.
-
Rundong Li, Ningfang Mi, Mirek Riedewald, Yizhou Sun, and Yi Yao,
"
A Case for Abstract Cost Models for Distributed Execution of Analytics Operators
", in
19th International Conference on Big Data Analytics and Knowledge Discovery
(DaWaK'17), Lyon, France, 2017.
-
Janki Bhimani, Zhengyu Yang, Miriam Leeser, and Ningfang Mi,
"
Accelerating Big Data Applications Using
Lightweight Virtualization Framework on Enterprise Cloud
", in
21st IEEE High Performance Extreme Computing
Conference
(HPEC'17), 2017.
-
Han Gao, Zhengyu Yang, Janki Bhimani, Teng Wang, Jiayin Wang, Ningfang Mi, and Bo Sheng,
"
AutoPath: Harnessing Parallel Execution Paths for Efficient Resource Allocation in Multi-Stage Big Data Frameworks
", in
The 26th International Conference on Computer Communications and Networks
(ICCCN'17),
Vancouver, Canada, July 2017.
Acceptance Rate: 25.0%.
-
Teng Wang, Jiayin Wang, Son Nam Nguyen, Zhengyu Yang, Ningfang Mi, and Bo Sheng,
"
EA2S2 : An Efficient Application-Aware Storage System for Big Data Processing in Heterogeneous Clusters
", in
The 26th International Conference on Computer Communications and Networks
(ICCCN'17),
Vancouver, Canada, July 2017.
Acceptance Rate: 25.0%.
-
Janki Bhimani, Ningfang Mi, Miriam Leeser, and Zhengyu Yang,
"FiM: Performance Prediction for Parallel Computation in Iterative Data Processing Applications"
in
IEEE International Conference on Cloud Computing
(Cloud'17),
Honolulu, Hawaii, June 2017. (Applications Track)
-
Jiayin Wang, Teng Wang, Zhengyu Yang, Ying Mao, Ningfang Mi, and Bo Sheng,
"
SEINA: effective Internal Attack in Hadoop Systems
", in
25th International Conference on Computing, Networking and Communication
(ICNC'17),
Silicon Valley, USA, Jan. 2017.
Acceptance Rate: 29.0%.
-
Zhengyu Yang, Jianzhe Tai, Janki Bhimani, Jiayin Wang, Ningfang Mi, and Bo Sheng,
"
GREM: Dynamic SSD Resource Allocation In Virtualized Storage Systems With Heterogeneous IO Workloads
", in
35th IEEE International Performance Computing and Communications Conference
(IPCCC'16),
Las Vegas, NV, Dec. 2016.
Acceptance Rate: 24.7%.
-
Janki Bhimani, Jingpei Yang, Zhengyu Yang, Ningfang Mi, Qiumin Xu, Manu Awasthi, Rajinikanth
Pandurangan, and Vijay Balakrishnan,
"
Understanding Performance of I/O Intensive Containerized Applications for NVMe SSDs
", in
35th IEEE International Performance Computing and Communications Conference
(IPCCC'16),
Las Vegas, NV, Dec. 2016.
Acceptance Rate: 24.7%.
-
Jiayin Wang, Teng Wang, Zhengyu Yang, Ningfang Mi, and Bo Sheng,
"
eSplash: Efficient Speculation in Large Scale Heterogeneous Computing Systems
", in
35th IEEE International Performance Computing and Communications Conference
(IPCCC'16),
Las Vegas, NV, Dec. 2016.
Acceptance Rate: 24.7%.
-
Janki Bhimani, Miriam Leeser, and Ningfang Mi,
"
Performance Prediction Techniques for Scalable Large Data Processing in Distributed MPI Systems
", in
35th IEEE International Performance Computing and Communications Conference
(IPCCC'16),
Las Vegas, NV, Dec. 2016. Poster.
-
Zhengyu Yang, Jiayin Wang, David Evans, and Ningfang Mi,
"
AutoReplica: Automatic Data Replica Manager in Distributed Caching and Data Processing Systems”
", in
First International workshop on Communication, Computing, and Networking in Cyber Physical Systems
(CCNCPS'16),
Las Vegas, NV, Dec. 2016.
-
Zhengyu Yang, Manu Awasthi, Mrinmoy Ghosh, and Ningfang Mi,
"
A Fresh Perspective on Total Cost of Ownership Models for Flash Storage in Datacenters
", in
8th IEEE International Conference on Cloud Computing Technology and Science
(CloudCom'16),
Luxembourg, Dec. 2016.
Acceptance Rate: 25.9%.
-
Janki Bhimani, Miriam Leeser, and Ningfang Mi,
"
Design Space Exploration of GPU Accelerated Cluster Systems for Optimal Data Transfer Using PCIe Bus", in
IEEE High Performance Extreme Computing Conference
(HPEC'16), Waltham, MA, Sept. 2016.
-
Yi Yao, Han Gao, Jiayin Wang,
Ningfang Mi, and Bo Sheng,
"OPERA: Opportunistic and Efficient Resource Allocation in
Hadoop YARN by Harnessing Idle Resources",
in
25th International Conference on Computer Communication and Networks
(ICCCN'16), Waikoloa, Hawaii, Aug. 2016. Acceptance Rate:30%.
-
Jiayin Wang, Yi Yao, Ying Mao, Bo Sheng, and Ningfang Mi,
"OMO: Optimize MapReduce Overlap with a Good Start (Reduce) and a Good Finish (Map)", in
IEEE International Performance Computing and Communications Conference
(IPCCC'15), Nanjing, China, Dec. 2015. Acceptance Rate: 29.0%. (Best Student Paper Runner-up Award)
-
Janki Bhimani, Miriam Leeser, and Ningfang Mi,
"
Accelerating K-Means Clustering with Parallel Implementations and GPU Computing",
in
IEEE High Performance Extreme Computing Conference
(HPEC'15), Waltham, MA, Sept. 2015.
-
Yi Yao, Jason Lin, Jiayin Wang, Ningfang Mi, and Bo
Sheng, "Admission Control in YARN Clusters Based on
Dynamic Resource Reservation", in the IFIP/IEEE Integrated Network Management Symposium
(IM'15), Ottawa, Canada, May 2015. (Short paper)
-
Yi Yao, Jiayin Wang, Bo Sheng, Jason Lin, and Ningfang Mi, "HASTE: Hadoop YARN
Scheduling Based on Task-Dependency and Resource-Demand", in the IEEE International Conference on Cloud Computing (Cloud'14), June 2014. Acceptance Rate: 20.0%.
-
Jiayin Wang, Yi Yao, Ying Mao, Bo Sheng, and Ningfang Mi, "FRESH: Fair and Efficient Slot Configuration and Scheduling for Hadoop Clusters", in the IEEE International Conference on Cloud Computing (Cloud'14), June 2014. Acceptance Rate: 30.0%. (Applications and Industry Track)
-
Yufeng Wang, Chiu Tan, and Ningfang Mi, "Using Elasticity to Improve Inline Data Deduplication Storage Systems", in the IEEE International Conference on Cloud Computing (Cloud'14), June 2014. Acceptance Rate: 30.0%. (Applications and Industry Track)
-
Deng Liu, Jianzhe Tai, Jack Lo, Ningfang Mi and Xiaoyun Zhu, "vFRM: Flash Resource Manager in VMware ESX Server", in the IFIP/IEEE Network Operations and Management Symposium (NOMS'14), Krakow, Poland, May 2014.
Acceptance Rate: 29.0%.
-
-
-
-
Zhen Li, Jianzhe Tai, Jiahui Chen, and Ningfang Mi, "ADUS:Adaptive Resource Allocation
in Cluster Systems under Heavy-Tailed and Bursty Workloads", in the Proceedings of the IEEE
International Conference on Communications
(ICC'12), pp. 1214-1218, Ottawa, Canada, June, 2012.
Acceptance Rate: 37.0%.
-
-
-
-
Andrew Caniff, Lei
Lu, Ningfang Mi, Ludmila Cherkasova, and Evgenia Smirni,
"
Fastrack for
Taming Burstiness and Saving Power in Multi-Tiered Systems", in
the Proceedings of
the 22nd International Teletraffic Congress
(ITC'10), Amsterdam, The Netherlands, Sept, 2010.
Acceptance Rate: 30%. (Best Student
Paper Award)
-
Lei Lu, Ludmila
Cherkasova, V. de Nitto Person, Ningfang Mi, and Evgenia
Smirni, "
AWAIT:
Efficient Overload Management for Busy Multi-tier Web Services under
Bursty Workloads", in the
Proceedings of the 10th International Conference onWeb
Engineering (ICWE'10), Vienna, Austria, July, 2010.
Acceptance Rate: 20%.
-
-
Ningfang Mi,
Giuliano Casale, Alma Riska, Qi Zhang, and Evgenia Smirni,
"
Autocorrelation-Driven Load Control in
Distributed Systems", in the Proceedings of 17th Annual Meeting of
the IEEE/ACM International Symposium on Modeling, Analysis and
Simulation of Computer and Telecommunication Systems
(MASCOTS'09), London, U.K., September 2009.
Acceptance Rate: 20%.
- Ningfang Mi,
Giuliano Casale, Ludmila Cherkasova, and Evgenia Smirni, "Injecting Realistic
Burstiness to a Traditional Client-Server Benchmark", in
the Proceedings of International Conference on Autonomic Computing and
Communications (ICAC'09), pp. 149-158, Barcelona,
Spain, 2009. Acceptance Rate: 16%.
-
Alma Riska,
Ningfang Mi, Giuliano Casale, and Evgenia
Smirni, "
Feasibility Regions: Exploiting
Trade-offs between Power and Performance in Disk Drives",
in the Proceedings of second Workshop on Hot Topics in
Measurement & Modeling of Computer Systems
(
HotMetrics'09), ACM Perf. Eval. Rev, Vol. 37, Issue
3, pp. 49-54, Seattle, WA, 2009.
-
Ningfang Mi,
Alma Riska, Xin Li, Evgenia Smirni, and Erik Riedel, "
Restraint
Utilization of Idleness for Transparent Scheduling of Background
Tasks", in the Proceedings of the 2009 ACM SIGMETRICS
international conference on Measurement and modeling of computer
systems (
SIGMETRICS'09), pp. 205-216, Seattle, WA,
2009. Acceptance Rate: 15%.
-
Ningfang Mi,
Giuliano Casale, Ludmila Cherkasova, and Evgenia Smirni, "
Burstiness in
Multi-Tier Applications: Symptoms, Causes, and New Models",
in ACM/IFIP/USENIX 9th International Middleware Conference
(
Middleware'08), pp. 265-286, Leuven, Belgium,
2008. Acceptance Rate: 18%. (
Best
Paper Award)
-
-
-
Ludmila Cherkasova, Kivanc Ozonat,
Ningfang Mi, Julie Symons, and Evgenia Smirni, "
Anomaly? Application Change? or
Workload Change?", in the International Conference on Dependable
Systems and Networks (
DSN'08), pp. 452-461,
Anchorage, AK, 2008. Acceptance Rate: 25%.
-
-
Giuliano Casale,
Ningfang Mi,
Ludmila Cherkasova, and Evgenia Smirni, "
How to Parameterize Models with Bursty
Workloads", in the Proceedings of First Workshop on Hot Topics in
Measurement & Modeling of Computer Systems
(
HotMetrics'08), Annapolis, Maryland, 2008.
Acceptance Rate: 27%.
-
Ningfang Mi, Ludmila Cherkasova,
Kivanc Ozonat, Julie Symons, and Evgenia Smirni, "
Analysis of Application Performance and Its
Change via Representative Application Signatures", accepted in
IEEE/IFIP Network Operations and Management Symposium
(
NOMS'08), Salvador, Brazil, pp. 216-223, 2008.
Acceptance Rate: 27%.
-
-
-
Qi Zhang, Alma Riska,
Ningfang Mi, Erik Riedel, and Evgenia Smirni, "Evaluating the Performability of Systems with
Background Jobs", in the International Conference on Dependable
Systems and Networks (DSN'06), Philadelphia, PA, pp.
495-504, 2006. Acceptance Rate: 18%.
-
-