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Book chapters
[11] Z. Fu and Y.
C. Lee,
Edge Computing: A future trend for IoT and Big Data Processing, Big
Data-Enabled Internet of Things, M. U. S. Khan, S. U. Khan and A. Y.
Zomaya (eds.), ch. 20, November, 2019, IET.
[10] P. Lu, Y. C. Lee, T.
Ryan, V. Gramoli and A. Y. Zomaya, Local Resource Consumption Shaping:
A Case for MapReduce, Big Data: Principles and Paradigms, R. Buyya, R.
N. Calheiros and A. V. Dastjerdi (eds.), ch. 8, ISBN: 9780128053942,
pp. 189–214, June 2016, Morgan Kaufmann.
[9] Y. C. Lee, and A. Y.
Zomaya, 2013, Immune System Support for Scheduling,
Advances in Applied Self-Organizing Systems, 2nd edition, M. Prokopenko
(ed.), pp. 11.295-319, Springer, London.
[8] N. B. Rizvandi, A. Y. Zomaya, Y. C. Lee, A. J.
Boloori and J. Taheri, Multiple Frequency Selection in DVFS-Enabled
Processors to Minimize Energy Consumption, Energy Efficient
Distributed Computing, A. Y. Zomaya and Y. C. Lee (eds.),
ISBN 9780470908754, pp. 17.443-463, New Jersey, USA, August 2012.
[7] W. Chen, Y. C. Lee and A. Y. Zomaya, Exploiting
Heterogeneous Computing Systems for Energy Efficiency, Handbook
of Energy-Aware and Green Computing, S. Ranka and I. Ahmad
(eds.), ISBN 9781466501164, pp. 35.817-834, Chapman &
Hall/CRC Press, January 2012.
[6] Y. C. Lee, D. T. M. Karunaratne, C. Wang and A.
Y. Zomaya, Energy Efficiency Models for Resource Provisioning and
Application Migration in Clouds, Cloud Computing:
Methodology, Systems, and Applications, L. Wang, R. Ranjan,
J. Chen, and B. Benatallah (eds.), ISBN 9781439856413, pp. 17.369-388,
CRC Press, Boca Raton, Florida, USA, October 2011.
[5] A. Beloglazov, R. Buyya, Y. C. Lee, and A. Y.
Zomaya, 2011, A Taxonomy and Survey of Energy-Efficient Data
Centers and Cloud Computing Systems, Advances in Computers,
M. Zelkowitz (ed), vol. 82, pp. 47-111,ISBN: 978-0-12-385512-1,
Elsevier, Amsterdam, The Netherlands.
[4] Y. C. Lee, R. Subrata and A. Y. Zomaya, 2008, Efficient
exploitation of grids for large-scale parallel applications,
Concurrent and Parallel Computing: Theory, Implementation and
Applications, A. S. Becker (ed), pp. 8.165-8.184, Nova Science
Publishers, USA.
[3] Y. C. Lee, and A. Y. Zomaya, 2008, Scheduling
in grid environments, Handbook of parallel computing: models,
algorithms and applications, S. Rajasekaran and J. Reif (eds), pp.
21.1-21.19, CRC Press, Boca Raton, Florida, USA.
[2] Y. C. Lee, and A. Y. Zomaya, 2007, Immune
system support for scheduling, Advances in Applied
Self-Organizing Systems, M. Prokopenko (ed), pp. 247-270 (Chapter 11),
Springer, London.
[1] Y. C. Lee, and A. Y. Zomaya, 2005, Parallel
computing, Electrical Engineering Handbook, R.C. Dorf (ed),
pp. 17.9-17.21, CRC Press, Boca Raton, Florida, USA.
Edited books
[1] A. Y. Zomaya and Y. C. Lee,
Energy Efficient Distributed Computing Systems,
Wiley, ISBN 9780470908754, New Jersey, USA, August 2012.
Journals
[40] K. Almi'ani, Y.C. Lee, T. Alrawashdeh and A. Pasdar, Graph-Based Profiling of Blockchain Oracles, IEEE Access, 11: 24995-25007, 2023.
[39] K. Almiani, M. A. Alrub, Y.C. Lee, T. H. Rashidi and A. Pasdar, A Blockchain-Based Auction Framework for Location-Aware Services, Algorithms, vol. 16, no. 7, 2023. [38] A. Pasdar and Y.C. Lee, Connect API with Blockchain: A Survey on Blockchain Oracle Implementation. ACM Computing Surveys, vol. 55, no. 10, pp 208:1-208:39, 2023. [37] T. Yang, Y. Hou, Y. C. Lee, H. Ji and A. Y. Zomaya, Power Control Framework for Green Data Centers, IEEE Transactions on Cloud Computing, vol. 10, no. 4, pp. 2876-2886, 2022. [36] Y. Kim, Y. Choi, Y. C. Lee, H. Han,
S. Kang, E-Render: Enabling UHD-Quality Cloud Gaming Through Edge
Rendering, IEEE Access 10: 72107-72119, 2022.
[35] M. Hu, X. Luo, J. Chen, Y. C. Lee, Y. Zhou,
D. Wu, Virtual reality: A survey of enabling technologies and its
applications in IoT, Journal
of Network and Computer Applications, vol. 178, pp.
102970, 2021.
[34] A. Pasdar, Y. C. Lee, T.
Hassanzadeh, K. Almi'ani, Resource Recommender for Cloud-Edge
Engineering, Information,
vol. 12. no. 6, pp. 224, 2021.
[33] Q. Jiang, Y.
C. Lee, A. Y. Zomaya, The Limit of Horizontal Scaling in
Public Clouds, ACM
Transactions on Modeling and Performance Evaluation of Computing Systems,
vol. 5, no. 1, pp. 6:1 - 6:22, 2020.
[32] T. Yang, Y. Hou, Y. C. Lee, H. Ji, A.
Y. Zomaya, Power Control Framework For Green Data Centers, IEEE Transactions on Cloud
Computing (TCC) (in press, accepted August 2020).
[31] A. Pasdar, Y. C. Lee, K.
Almi’ani , Hybrid Scheduling for Scientific Workflows on Hybrid Clouds,
Computer
Networks, vol. 181, pp. 107438, 2020.
[30] Y. K. Kim, M. H. Farahabady, Y. C. Lee and A. Y.
Zomaya, Automated Fine-Grained CPU Cap Control in Serverless Computing
Platform, IEEE
Transactions on Parallel and Distributed Systems (TPDS),
vol. 31, no. 10 pp. 2289 – 2301, 2020.
[29] J. Phung, Y. C. Lee and A. Y.
Zomaya, Lightweight Power Monitoring Framework for Virtualized
Computing Environments, IEEE
Transactions on Computers (TC), vol. 69, no. 1, pp. 14 –
25, 2020. (the Featured
Paper in the January 2020 issue of IEEE TC)
[28] H. Lee, J. Lee, Y.
C. Lee, H. Han
and S. Y. Kang, Mobile Collaborative Computing On The Fly, Pervasive
and Mobile Computing, vol. 58, 2019.
[27] H. Lee, J. Lee, Y. C. Lee
and S. Y. Kang, CollaboRoid: Mobile Platform Support for Collaborative
Applications, Pervasive
and Mobile Computing, vol. 55, pp. 13 – 31,
2019.
[26] K. Almi’ani, Y. C. Lee
and B. Mans, On Efficient Resource Use for Scientific Workflows in
Clouds, Computer
Networks, vol. 146, pp. 232 – 242, 9 December, 2018.
[25] T. Yang, Y.
C. Lee and A. Y. Zomaya, Collective Energy-Efficiency
Approach to Data Center Networks Planning, IEEE Transactions on Cloud
Computing (TCC), vol. 6, no. 3, pp. 656-666, 2018.
[24] K. Almi’ani, A. Viglas, Y. C. Lee and R.
Abrishambaf, Peripheral nodes and their effect in path planning in
networks, International
Journal of Ad Hoc and Ubiquitous Computing, vol. 27, no.
3, pp.157-170, 2018.
[23] O. Y. Adam, Y. C. Lee, A. Y.
Zomaya, Stochastic Resource Provisioning for Containerized Multi-Tier
Web Services in Clouds, IEEE
Transactions on
Parallel and Distributed Systems (TPDS), vol. 28, no. 7,
pp. 2060-2073, 2017.
[22] O. Y. Adam, Y. C. Lee, Albert Y.
Zomaya, Constructing Performance-Predictable Clusters with
Performance-Varying Resources of Clouds, IEEE Transactions on Computers,
vol. 65, no. 9, pp. 2709-2724 September 2016.
[21] Q. Jiang, Y. C. Lee
and A. Y. Zomaya, Price Elasticity of the Enterprise Computing Resource
Market, IEEE Cloud Computing Magazine, vol. 3, no. 1, pp. 24-31, 2016.
[20] L. M. Leslie, Y. C. Lee,
A. Y. Zomaya, RAMP: Reliability-Aware Elastic Instance Provisioning for
Profit Maximization, Journal of Supercomputing, vol. 71, no. 12, pp.
4529-4554, 2015.
[19] T. Ryan and Y. C. Lee,
Multi-Tier Resource Allocation for Data-Intensive Computing, Big Data
Research, vol 2, no. 3, pp. 110-116, 2015.
[18] Y.
C. Lee, H. Han, A. Y. Zomaya and M. Yousif , Resource-efficient
workflow scheduling in clouds, Knowledge
Based Systems (KBS), vol. 80, SI: 25th anniversay, pp.
153-162, May 2015.
[17] W. Chen, Y.
C. Lee, A. Fekete and A. Y. Zomaya, Adaptive
multiple-workflow scheduling with task rearrangement, Journal of Supercomputing (TJS),
vol. 71, no. 4, pp. 1297-1317, April 2015.
[16] M. H. Farahabady, Y. C. Lee and A. Y.
Zomaya, Pareto-Optimal Cloud Bursting, IEEE Transactions on
Parallel and Distributed
Systems (TPDS), vol. 25, no. 10, pp. 2670-2682,
October 2014.
[15] M. H. Farahabady, Y. C. Lee, and A. Y.
Zomaya, Randomized
approximation scheme for resource allocation in hybrid-cloud
environment, The
Journal of Supercomputing, vol. 69, no. 2, pp. 576-592,
2014.
[14] W. Li, F. C. Delicato, P. F. Pires, Y.
C. Lee and A. Y. Zomaya, Efficient allocation of resources in
multiple heterogeneous Wireless Sensor Networks, Journal of
Parallel and Distributed Computing (JPDC), vol. 74, no. 1,
pp. 1775-1788, 2014.
[13] J. Taheri, Y. C. Lee, A.
Y. Zomaya, and H. J. Siegel, A Bee Colony based optimization approach
for simultaneous job scheduling and data replication in grid
environments, Computers & Operations Research,
vol. 40, no. 6, pp. 1564-1578, 2013.
[12] H. Han, Y. C. Lee, W.
Shin, H. Jung, H. Y. Yeom, and A. Y. Zomaya, Cashing in on the Cache in
the Cloud, IEEE Transactions on Parallel and Distributed
Systems (TPDS), vol 23, no. 8, pp. 1387-1399, August 2012.
[11] Y. C. Lee, C. Wang, A. Y.
Zomaya, and B. B. Zhou, Profit-driven Scheduling for Cloud Services
with Data Access Awareness, Journal of Parallel and
Distributed Computing (JPDC), vol. 72, no. 4, pp. 591-602,
2012.
[10] Y. C. Lee, and A. Y.
Zomaya, Energy Efficient Utilization of Resources in Cloud Computing
Systems, The Journal of Supercomputing, vol. 60,
no.2, 268-280, 2012.
[9] Y. C. Lee, J. Taheri, and
A. Y. Zomaya, A Parallel Metaheuristic Framework Based on Harmony
Search for Scheduling in Distributed Computing Systems, Int’l
Journal of Foundations of Computer Science, vol. 23, no. 2,
pp. 445-464, 2012.
[8] M. Mezmaz, N. Melab, Y. Kessaci, Y.C.
Lee, E.-G. Talbi, A.Y. Zomaya and D. Tuyttens, A parallel
bi-objective hybrid metaheuristic for energy-aware scheduling for cloud
computing systems, Journal of Parallel and Distributed
Computing (JPDC), vol. 71, no. 11, pp. 1497-1508, 2011.
[7] Y. C. Lee, and A. Y. Zomaya, Energy Conscious
Scheduling for Distributed Computing Systems under Different Operating
Conditions, IEEE Transactions on Parallel and Distributed
Systems (TPDS), vol.
22, no. 8, pp. 1374-1381, August 2011.
[6] Y. C. Lee, and A. Y. Zomaya,
Rescheduling for Reliable Job Completion with the Support of Clouds, Future
Generation Computer Systems, Special Issue on
Federated Resource Management in Grid and Cloud Computing Systems,
vol 26, no. 8, pp. 1192-1199, October 2010.
[5] Y. C. Lee, A. Y. Zomaya, and Howard Jay
Siegel, Robust Task Scheduling for Volunteer Computing Systems, The
Journal of Supercomputing, Special Issue on
Network-Based High Performance Computing, vol 53, no. 1, pp.
163-181, July 2010.
[4] Y. C. Lee, and A. Y. Zomaya, On Effective Slack
Reclamation in Task Scheduling for Energy Reduction, Journal
of Information Processing Systems, vol. 5, no. 4, pp.
175-186, 2009.
[3] Y. C. Lee, R. Subrata, and A. Y. Zomaya, On the
Performance of a Dual-Objective Optimization Model for Workflow
Applications on Grid Platforms, IEEE Transactions on Parallel
and Distributed Systems (TPDS), vol.
20, no. 9, pp. 1273-1284, September 2009.
[2] Y. C. Lee, and A. Y. Zomaya, A Novel State
Transition Method for Metaheuristic-based Scheduling in Heterogeneous
Computing Systems, IEEE Transactions on Parallel and
Distributed Systems (TPDS), vol.
19, no. 9, pp. 1215-1223, September 2008.
[1] Y. C. Lee, and A. Y. Zomaya, Practical
Scheduling
Bag-of-Tasks Applications on Grids with Dynamic Resilience, IEEE
Transactions on Computers (TC), vol. 56,
no. 6, pp. 815-825, June 2007.
Refereed Conference Papers
[74] A. Pasdar, Y. C. Lee
and S. H. Hong, Catch the Intruder: Collaborative and Personalized
Malware Detection By On-Device Application Fingerprinting, in Proc.
IEEE International Conference on Web Services (ICWS), accepted in May
2023 (in press).
[73] J. King and Y. C. Lee,
eDashA: Edge-based Dash Cam Video Analytics, in Proc. IEEE Conference
on Edge Computing and Communications (EDGE), accepted in May 2023 (in
press). [72] S. Goodarzy, E. Keller, M. Nazari, E. Rozner, R. Han, M. Dras, Y.C. Lee
and D. Richards, Capturing and Predicting User Frustration to Support a Smart Operating System. IUI Companion,: 29-32, 2023. [71] S. K. Yap, M. Toohey, Z. Dong, Y.C. Lee
and A. Y. Zomaya, Smart Contract Data Monitoring and Visualization, in
Proc. IEEE International Conference on Blockchain and Cryptocurrency
(ICBC), May 2023, Best Paper Award. [70] A. Pasdar, Y. C. Lee, S-H. Hong
and T. Liu, MAPS: A Dataset for Semantic Profiling and Analysis of
Android Applications, in Proc. Workshop on Mobility in the Evolving
Internet Architecture (MobiArc in conjunction with MobiCom 2022), Best Paper Award.
[69] A. Ismail, M. Toohey, Y.C. Lee, Z. Dong
and A. Y. Zomaya, Cost and Performance Analysis on Decentralized File
Systems for Blockchain-Based Applications: State-Of-The-Art Report, in
Proc. IEEE International Conference on Blockchain (Blockchain), pp. 230 - 237, 2022.
[68] A. Pasdar, Y. C. Lee,
T. Liu and S. H. Hong, Train Me to Fight: An On-Device Personalized
Machine-Learning-Based Malware Detection, in Proc. IEEE/ACM
International Symposium on Cluster, Cloud and Internet Computing
(CCGrid 2022), pp. 239 - 248, 2022.
[67] A. Ismail, Q. Wu, M. Toohey, Y. C. Lee, Z. Dong,
A. Y. Zomaya, TRABAC: A Tokenized Role-Attribute Based Access Control
using Smart Contract for Supply Chain Applications, in Proc.
IEEE International Conference on Blockchain (Blockchain), pp. 584-589,
2021.
[66] H. Lee, S. Lee, Y. C. Lee,
S. Kang, iEdge: An IoT-assisted Edge Computing Framework, in Proc. IEEE
International Conference on Pervasive Computing and Communications
(PerCom), pp. 1 - 8, 2021.
[65] Y.
C. Lee, J. King, Y.
K. Kim, S.-H. Hong, Robust Scheduling for Large-Scale Distributed
Systems, in Proc. the 19th IEEE International Conference on Trust,
Security and Privacy in Computing and Communications (TrustCom 2020),
pp. 38 - 45, 2020.
[64] A. Pasdar, Y. C. Lee,
T. Hassanzadeh and B. Man, ANN-Assisted Multi-Cloud Scheduling
Recommender, in Proc. the 27th International Conference on Neural
Information Processing (ICONIP 2020), pp. 737 - 745, 2020.
[63] Q. Jiang, Y.
C. Lee
and A. Y. Zomaya, The Power of ARM64 in Public Clouds, in Proc.
IEEE/ACM International Symposium on Cluster, Cloud and the Grid
(CCGRID), 2020.
[62] J. King, L. Huang, D. Wu, Y. Zhou, and Y. C. Lee,
EdgeSum: Edge-Based Video Summarization with Dash Cams, in Proc. the
IEEE International Conference on Cloud Engineering (IC2E) 2020.
[61] H. Jo, Y. Kim, H. Lee, Y. C. Lee,
H. Han, and S. Y. Kang, On the Trade-Off Between Performance and
Storage Efficiency of Replication-Based Object Storage, in Proc. The
11th IEEE International Conference on Cloud Computing Technology and
Science (CloudCom), pp. 301 – 304, 2019.
[60] J. King, Y. K. Kim, Y. C. Lee,
and S. H. Hong, Visualisation of Distributed Systems Simulation Made
Simple, in Proc. The 11th IEEE International Conference on Cloud
Computing Technology and Science (CloudCom), pp. 309 – 312, 2019.
[59] Y.
C. Lee, J. King and
S.H. Hong, Holistic Approach for Studying Resource Failures at Scale,
in Proc. The IEEE International Symposium on Network Computing and
Applications (NCA 2019), 2019.
[58] A. Pasdar, Y. C. Lee and
K. Almi'ani, Toward Cost Efficient Cloud Bursting. ICSOC in the
Proceedings of International Conference on Service-Oriented Computing
(ICSOC), pp. 299 – 313, 2019.
[57] Z. Dong, E. Zheng, Y. C. Lee
and A. Y. Zomaya, DAGBENCH: A Performance Evaluation Framework for DAG
Distributed Ledgers, in Proc. the 2019 IEEE International Conference on
Cloud Computing (CLOUD), pp. 264 – 271, 2019.
[56] Q. Jiang, Y.
C. Lee
and A. Y. Zomaya, Scalable Video Transcoding in Public Clouds, the IEEE
International Scalable Computing Challenge (SCALE 2019), co-Located
with IEEE/ACM CCGrid 2019, pp. 70 – 75, 2019.
[55] J. Phung, Y.
C. Lee
and A. Y. Zomaya, Energy Efficiency Evaluation of Distributed Systems,
in the Proceedings of International Conference on Computational Science
(ICCS), pp. 756 – 763, 2019.
[54] Y. J. Kim, Y. C. Lee,
H. Han and S. Y. Kang, Hierarchical Recursive Resource Sharing for
Containerized Scientific Workflows, in the Proceedings of International
Conference on Service-Oriented Computing (ICSOC), pp. 781 – 796,
November 12-15, 2018.
[53] Q. Jiang,
Y. C. Lee
and A. Y. Zomaya, Janus: A Generic QoS Framework for
Software-as-a-Service Applications, in Proc. The IEEE Cluster
Conference (CLUSTER), Sep 10 - 13, 2018.
[52] Y. K. Kim, M. HoseinyFarahabady, Y. C. Lee,
A. Y. Zomaya and Raja Jurdak, Dynamic Control of CPU Usage in a Lambda
Platform, in Proc. The IEEE Cluster Conference (CLUSTER), Sep 10 - 13,
2018.
[51] A. Pasdar, K. Almi'ani and Y. C. Lee,
A Data Placement Approach for Scientific Workflows Execution in Hybrid
Clouds, in Proc. International Conference on Computational Science
(ICCS), pp. 708 – 714, June 11 - 13, 2018.
[50] Y. K. Kim, M. HoseinyFarahabady, Y. C. Lee
and A. Y. Zomaya, Decentralized Admission Control for High-Throughput
Key-Value Data Stores, in Proc. IEEE/ACM International Symposium on
Cluster, Cloud and the Grid (CCGRID), pp. 503 – 512, May 1 - 4, 2018.
[49] J. Lee, H. Lee, B. Seo, Y. C. Lee,
H. Han and S.Y. Kang, SAMD: Fine-Grained Application Sharing for Mobile
Collaboration, in Proc. IEEE International Conference on Pervasive
Computing and
Communications (PerCom), March 19 - 23, 2018 (best paper award nominee).
[48] A. Cela,
Y. C. Lee and
S. H. Hong, Resource Provisioning for Memory Intensive Graph
Processing, in Proc. 16th Australasian Symposium on Parallel and
Distributed Computing (AusPDC 2018), as part of Australasian Computer
Science Week (ACSW 2018), January 30 - February 2, 2018.
[47] Q. Jiang, Y.
C. Lee
and A. Y. Zomaya, Serverless Execution of Scientific Workflows, in
Proc. International Conference on Service-Oriented Computing (ICSOC),
pp. 706 – 721, Nov 13 - 16, 2017.
[46] M. H. Farahabady, Y. C. Lee,
A. Y. Zomaya and Z. Tari, A QoS-Aware Resource Allocation Controller
for Function as a Service (FaaS) Platform, in Proc. International
Conference on Service-Oriented Computing (ICSOC), pp. 241 – 255, Nov 13
- 16, 2017.
[46] E. Alzahrani, Z. Tari, Y. C. Lee,
D. Alsadie and A. Y. Zomaya, adCFS: Adaptive Completely Fair Scheduling
Policy for Containerised Workflows Systems, in Proc. The 16th IEEE
International Symposium on Network Computing and Applications (NCA
2017), October 30-November 1, 2017. Best Student Paper Award
[45] Y. K. Kim, M. Hoseinyfarahabady, Y. C. Lee
and A. Y. Zomaya, A Resource Allocation Controller for Key-Value Data
Stores, in Proc. The 16th IEEE International Symposium on Network
Computing and Applications (NCA 2017), October 30-November 1, 2017.
(short paper)
[44] K. Almi’ani, Y. C. Lee
and B. Mans, Resource Demand Aware Scheduling for Workflows in Clouds,
in Proc. The 16th IEEE International Symposium on Network Computing and
Applications (NCA 2017) , October 30-November 1, 2017. (short paper)
[43] J. Lee, H. Lee, Y. C. Lee,
H. Han and S. Y. Kang, Platform Support for Mobile Edge Computing, in
Proc. the 2017 IEEE 4th International Conference on Cloud Computing
(CLOUD), pp. 624 – 631, June 25-30, 2017.
[42] Y.
C. Lee
and B. Lian, Cloud Bursting Scheduler for Cost Efficiency, in Proc. the
2017 IEEE 4th International Conference on Cloud Computing (CLOUD), pp.
774 – 777, June 25-30, 2017. (short paper)
[41] O. Adam, Y. C. Lee and A.
Y. Zomaya, CtrlCloud:
Performance-Aware Adaptive Control for Shared Resources in Clouds, in
Proc. IEEE/ACM International Symposium on Cluster, Cloud and the Grid
(CCGRID), pp. 110-119, May 14-17, 2017.
[40] J. Phung, Y. C. Lee and
A. Y. Zomaya,
Application-Agnostic Power Monitoring in Virtualized Environments, in
Proc. IEEE/ACM International Symposium on Cluster, Cloud and the Grid
(CCGRID), pp. 335-344, May 14-17, 2017.
[39] E. J. Alzahrani, Z. Tari, P. Zeephongsekul, Y.
C. Lee,
D. Alsadie, A. Y. Zomaya, SLA-Aware Resource Scaling for Energy
Efficiency, in the Proceedings of The 18th IEEE International
Conference on High Performance Computing and Communications (HPCC), pp.
852-859, Dec 12-14, 2016.
[38] S. Mishra, Y. C. Lee and
A. Nayak, Distributed Genetic
Algorithm on GraphX, in the Proceedings of The 29th Australasian Joint
Conference on Artificial Intelligence, pp. 548-554, Dec. 5-8, 2016.
[37] M. H. Farahabady, Y. C. Lee,
A. Y. Zomaya, Z. Tari and
A. Song, A Model Predictive Controller for Contention-Aware Resource
Allocation in Virtualized Data Centers, in the Proceedings of The IEEE
International Symposium on Model Analysis and Simulation of Computer
and Telecommunications Systems (MASCOTS), pp. 277-282, Sep 19-21, 2016.
[36] K. Almi'ani and Y. C. Lee,
Partitioning-Based Workflow Scheduling in Clouds, in the Proceedings of
The 30th IEEE International Conference on Advanced Information
Networking and Applications (AINA), Crans-Montana, Switzerland, March
23-25, 2016.
[35] Z. Dong, Y. C. Lee
and A. Y. Zomaya, Crowdware: A Framework for GPU-based Public-Resource
Computing with Energy-Aware Incentive Mechanism, in the Proceedings of
the 7th IEEE International Conference on Cloud Computing and Science
(CloudCom), Vancouver, Canada, Nov 30 – Dec 3, 2015.
[34] Y.
C. Lee, Y. Kim, H.
Han and S. Kang, Fine-Grained, Adaptive Resource Sharing for Real
Pay-Per-Use Pricing in Clouds, in the Proceedings of the 3rd
International Workshop on Autonomic Management of high performance Grid
and Cloud Computing (AMGCC) as part of 2015 IEEE Cloud and
Autonomic Computing Conference (CAC), Cambridge, MA, USA, September
21-24, 2015.
[33] Q. Jiang,
Y. C. Lee
and A. Y. Zomaya, Executing Large Scale Scientific Workflow Ensembles
in Public Clouds, in the Proceedings of International Conference on
Parallel Processing (ICPP), Beijing, China, September 1-4, 2015.
[32] T. Ryan and Y. C.
Lee,
Effective Resource Multiplexing for Scientific Workflows, in the
Proceedings of The 17th Asia-Pacific Network Operations and Management
Symposium (APNOMS), Busan, Korea, August 19-21, 2015.
[31] T. Yang, Y.
C. Lee and A. Y. Zomaya, Energy-Efficient
Data Center Networks Planning with Virtual Machine Placement and
Traffic Configuration, in
the Proceedings of IEEE
6th International Conference on Cloud Computing Technology and Science
(CloudCom),
Dec. 15-18, 2014.
[30] P. Lu, Y.
C. Lee, V. Gramoli, L. M. Leslie and A. Y. Zomaya, Local
Resource Shaper for MapReduce, in the Proceedings of IEEE 6th International
Conference on Cloud Computing Technology and Science (CloudCom), Dec.
15-18, 2014.
[29] C.
Sato, L. M. Leslie, Y.
C. Lee, A. Y. Zomaya and R. Ranjan, Running Data-Intensive
Scientific Workflows in the Cloud, in the Proceedings of the 15th International
Conference on Parallel and Distributed Computing, Applications and
Technologies (PDCAT),
December 9-11, 2014.
[28] Y.
C. Lee, H. Han, and A. Y. Zomaya, On
Resource Efficiency of Workflow Schedules, in the Proceedings of the International
Conference on Computational Science (ICCS), Jun. 10-12,
2014.
[27] M. H. Farahabady, H. R. Dehghani Samani, L.
Leslie, Y. C. Lee and A. Y. Zomaya, Handling
Uncertainty: Pareto-Efficient BoT Scheduling on Hybrid Clouds, in the Proceedings
of the International Conference on Parallel Processing (ICPP),
Oct. 1-4, 2013.
[26] L. Leslie, Y. C. Lee, P.
Lu and A. Y. Zomaya, Exploiting Performance and Cost Diversity in the
Cloud, in the Proceedings of the International Conference on
Cloud Computing (CLOUD), June 27-July 2, 2013.
[25] Y. C. Lee and A. Y.
Zomaya, Stretch Out and Compact: Workflow Scheduling with Resource
Abundance, in the Proceedings of the International Symposium
on Cluster Cloud and the Grid (CCGRID), May 13-16, 2013.
[24] P. Lu, Y. C. Lee and A.
Y. Zomaya, Non-Intrusive Slot Layering in Hadoop, in the Proceedings
of the International Symposium on Cluster Cloud and the Grid (CCGRID),
May 13-16, 2013.
[23] H. Han, Y. C. Lee, S.
Choi, H. Y. Yeom and A. Y. Zomaya, Cloud-Aware Processing of
MapReduce-Based OLAP Applications, in the Proceedings of the
11th Australasian Symposium on Parallel and Distributed Computing
(AusPDC), January 29-February 1, 2013.
[22] P. Lu, Y. C. Lee and A.
Y. Zomaya, Workload Characteristic Oriented Scheduler for MapReduce, in
the Proceedings of the 18th International Conference on
Parallel and Distributed Systems (ICPADS), December 17-19,
2012.
[21] M. H. Farahabady, Y. C. Lee
and A. Y. Zomaya, Non-Clairvoyant Assignment of Bag-of-Tasks
Applications Across Multiple Clouds, in the Proceedings of
the 13th International Conference on Parallel and Distributed
Computing, Applications and Technologies (PDCAT), December
14-16, 2012. Best Student Paper Award
[20] M. Hussin, Y. C. Lee, and
A. Y. Zomaya, Priority-Based Scheduling for Large-Scale Distribute
Systems with Energy Awareness, in the Proceedings of
International Conference on Cloud and Green Computing (CGC 2011),
pp. 503-509, Dec. 12-14, 2011.
[19] M. Hussin, Y. C. Lee, and A. Y. Zomaya,
Reputation-based Resource Allocation in Market-oriented Distributed
Systems, in the Proceedings of the 11th International
Conference on Algorithms and Architectures for Parallel Processing
(ICA3PP), pp. 443-452, October 24-26, 2011.
[18] M. Hussin, Y. C. Lee, and A. Y. Zomaya,
Efficient Energy Management using Adaptive Reinforcement Learning-based
Scheduling in Large-Scale Distributed Systems, in the Proceedings
of the 40th International Conference on Parallel Processing (ICPP
11), pp. 385-393, September 13-16, 2011.
[17] A. V. Do, J. Chen, C. Wang, Y. C. Lee, A. Y.
Zomaya, and B. B. Zhou, Profiling Applications for Virtual Machine
Placement in Clouds, in the Proceedings of the 2011 IEEE 4th
International Conference on Cloud Computing (CLOUD
11), pp. 660-667, July 4-9, 2011.
[16] J.
Chen, C. Wang, B. B. Zhou, L. Sun, Y. C. Lee, and
A. Y. Zomaya, Tradeoffs between Profit and Customer Satisfaction for
Service Provisioning in the Cloud, in the Proceedings of the
20th International ACM Symposium on High-Performance Parallel and
Distributed Computing (HPDC), June 8-11,
2011.
[15] M. Hussin, Y.C. Lee, A.Y. Zomaya, ADREA: A
Framework for Adaptive Resource Allocation in Distributed Computing
Systems, in the Proceedings of the 11th International
Conference on Parallel and Distributed Computing, Applications and
Technologies (PDCAT 2010), pp. 50-57,
Dec. 8-11, 2010.
[14] Y.C. Lee, A. Y. Zomaya and M. Yousif, Reliable
Workflow Execution in Distributed Systems for Cost Efficiency, in the Proceedings
of the 11th ACM/IEEE International Conference on Grid Computing (Grid
2010), pp. 89-96, October 25-28, 2010.
[13] W. Chen, A. Fekete and Y.C. Lee, Exploiting
Deadline Flexibility in Grid Workflow Rescheduling, in the Proceedings
of the 11th ACM/IEEE International Conference on Grid Computing (Grid
2010), pp. 105-112, October 25-28, 2010.
[12] M. Mezmaz, Y. Kessaci, Y.C. Lee,
N. Melab, E.-G. Talbi, A.Y. Zomaya and D. Tuyttens, A Parallel
Island-Based Hybrid Genetic Algorithm for Precedence-Constrained
Applications to Minimize Energy Consumption and Makespan, in the Proceedings
of the Workshop on Energy Efficient Grids, Clouds and Clusters Workshop
2010 (E2GC2-2010), Part of the
Proceedings of the 11th ACM/IEEE International Conference on Grid
Computing (Grid 2010), pp. 274-281,
October 25-28, 2010.
[11] M. Mezmaz, Y. C. Lee, N. Melab, E. Talbi, and
A.Y. Zomaya, A Bi–objective Hybrid Genetic Algorithm to Minimize Energy
Consumption and Makespan for Precedence-constrained Applications Using
Dynamic Voltage Scaling, in the Proceedings of the WCCI 2010
IEEE World Congress on Computational Intelligence, pp. 25–32,
July 18–23, 2010.
[10] Y. C. Lee, C. Wang, J. Taheri, A. Y. Zomaya,
and B. B. Zhou, On the Effect of Using Third-Party Clouds for
Maximizing Profit, in the Proceedings of the 10th
International Conference on Algorithms and Architectures for Parallel
Processing (ICA3PP),
pp. 381-390, May 21-23, 2010.
[9] Y. C. Lee, C. Wang, A. Y. Zomaya, and B. B.
Zhou, Profit-driven Service Request Scheduling in Clouds, in the Proceedings
of the International Symposium on Cluster Computing and the
Grid (CCGRID), pp.15-24, May 17-20, 2010.
Best Paper Award
[8] N. B. Rizvandi, J. Taheri, A. Y. Zomaya, and Y.
C. Lee, Energy Minimization of DVFS-enabled processors in
HPCS by Linear Combinations of Processor Frequencies, in the Proceedings
of the International Symposium on Cluster Computing and the
Grid (CCGRID), pp. 388-397, May 17-20,
2010.
[7] Y. C. Lee and A. Y. Zomaya, Minimizing Energy
Consumption for Precedence-constrained Applications Using Dynamic
Voltage Scaling, in the Proceedings of the International
Symposium on Cluster Computing and the Grid (CCGRID),
pp. 92-99, May 18-21, 2009.
[6] Y. C. Lee and A. Y. Zomaya,
Interweaving Heterogeneous Metaheuristics Using Harmony Search, in the Proceedings
of the Workshop on Nature Inspired Distributed Computing (NIDISC),
Part of the Proceedings of the International Parallel and Distributed
Processing Symposium (IPDPS), May 25-29,
2009.
[5] Y. C. Lee and A. Y. Zomaya, Resource-centric
task allocation in grids with artificial danger model support,
in the Proceedings of the Workshop on Nature Inspired
Distributed Computing (NIDISC),
Part of the Proceedings of the International Parallel and Distributed
Processing Symposium (IPDPS), Miami,
Florida, April 14-18, 2008.
[4] Y. C. Lee and A. Y. Zomaya, An Artificial
Immune System for
Heterogeneous Multiprocessor Scheduling with Task Duplication,
in the Proceedings of the Workshop on Nature Inspired
Distributed Computing (NIDISC),
Part of the Proceedings of the International Parallel and Distributed
Processing Symposium (IPDPS), Long Beach,
California, March 26-30, 2007.
[3] Y. C. Lee and A. Y. Zomaya, Data Sharing
Pattern Aware
Scheduling on Grids, in the Proceedings of the International
Conference on Parallel Processing (ICPP),
Columbus, Ohio, August 14-18, pp. 365-372, 2006.
[2] Y. C. Lee and A. Y. Zomaya, A Grid Scheduling
Algorithm
for Bag-of-Tasks Applications Using Multiple Queues with Duplication,
in the Proceedings of the 5th IEEE/ACIS International
Conference on Computer
and Information Science and 1st IEEE/ACIS International Workshop on
Component-Based Software Engineering, Software Architecture and Reuse (ICIS-COMSAR),
Honolulu, Hawaii, July 10-12, pp. 5-10, 2006.
[1] Y. C. Lee and A. Y. Zomaya, A Productive
Duplication-Based
Scheduling Algorithm for Heterogeneous Computing Systems, in the Proceedings
of the International Conference on High Performance Computing and
Communications (HPCC), Sorrento, Italy,
September 21-23, pp. 203-212, 2005.
Other
[10] J. King, Y. C. Lee,
Distributed Edge-based Video Analytics on the Move. CoRR
abs/2206.14414, 2022.
[9] A. Pasdar, Z. Dong, Y.
C. Lee, Blockchain Oracle Design Patterns. CoRR
abs/2106.09349, 2021.
[8] M. Hu, X. Luo, J. Chen, Y.
C. Lee, Y. Zhou, D. Wu, Virtual Reality: A Survey of
Enabling Technologies and its Applications in IoT. CoRR abs/2103.06472,
2021.
[7] Z. Dong, Y. C. Lee, A. Y.
Zomaya, Proofware: Proof of Useful Work Blockchain Consensus Protocol
for Decentralized Applications. CoRR abs/1903.09276, 2019.
[6] Q. Jiang, Y. C. Lee, J. G.
Davis, A. Y. Zomaya, Diversity, Productivity, and Growth of Open Source
Developer Communities. CoRR abs/1809.03725, 2018.
[5] J. Lee, H. Lee, B. Seo, M. Chae, Y. C. Lee,
H. Han and S. Y. Kang, SAMD Apps: Install Once Run Anywhere Instantly,
in the Proceedings of IEEE International Conference on Pervasive
Computing and Communications (PerCom), 2018. (Invited demo paper).
[4] J. Lee, H. Lee, S. Kang, Y. C. Lee
and H. Han, Demo: CollaboRoid for Mobile Collaborative Applications. in
the Proceedings of Int’l Conf. Mobile Systems, Applications, and
Services (MobiSys Companion Volume), 2016.
[3] L. M. Leslie, C. Sato, Y. C. Lee,
Q. Jiang, A. Y. Zomaya, DEWE: A Framework for Distributed Elastic
Scientific Workflow Execution, in the Proceedings of the 13th
Australasian Symposium on Parallel and Distributed Computing (AusPDC),
January 27-30, 2015. (Invited paper)
[2] M. Hussin, Y.
C. Lee, and A. Y. Zomaya, Dynamic Job-Clustering
with Different Computing Priorities for Computational Resource
Allocation, in the Poster Proceedings of the IEEE/ACM
International Symposium on Cluster, Cloud and Grid Computing (CCGRID),
May 17-20, 2010.
[1] Y. C. Lee and A.Y. Zomaya, 2010, Resource
Allocation for Energy-Efficient Large-Scale Distributed Systems, Proceedings
of the 4th International Conference on Systems, Technology and
Management (ICISTM'10), Communications in
Computer and Information Science, Springer, Prasad, S., Vin, H.M.,
Sahni, S., Jaiswal, M.P. and Thipakorn, B. (eds.), March
11-13, p. 16-19, Bangkok, Thailand. (Invited Keynote Address)
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