Byoung uk Kim

Ph.D Candidate

High Performance Distributed Computing Laboratory (HPDC) / Autonomic Computing Laboratory (ACL)

Dept. of Electrical and Computer Engineering

Tucson AZ 85721
Phone(520) 626-3727
Office: Room 361, ECE Building
Email:  kimbu(at)email(dot)arizonal(dot)edu

 

 

Biography


I am from Seoul, Korea. Currently, I am a Ph.D candidate in Department of Electrical and Computer Engineering. My advisor is Prof. Salim Hariri. My research interests are autonomic computing (self-healing), fault tolerance system, and distributed high performance systems.

I am on the job market this year. Here is the link to my resume.

 

Current Projects


One of the important design criteria for distributed systems and their applications is their reliability and robustness to hardware and software failures. The increase in complexity, interconnectedness, dependency and the asynchronous interactions between the components that include hardware resources (computers, servers, network devices), and software (application services, middleware, web services, etc.) makes the fault detection and tolerance a challenging research problem. In this paper, we present an innovative approach based on statistical and data mining techniques to detect faults (hardware or software) as well as root-cause analysis of system and application faults. In our approach, we monitor and analyze all the interactions between all the components of a distributed system. We use data mining and supervised learning techniques to obtain the rules that can accurately model the normal interactions among these components. Our anomaly analysis engine will immediately produce an alert whenever one or more of the interaction rules that capture normal operations is violated due to a software or hardware failure. Our analysis show that our approach is superior when compared to other techniques. For example, the precision value that is trained with Tranining with PN equals to 0.998 in 50% noise value and the missed alarm and false alarm rate is near 0%. We also developed algorithms to automatically acquire new rules of the environment and load changes over time.

Our approach is based on autonomic computing paradigm that requires continuous monitoring and analysis of the system state, and then plan and execute the appropriate actions if it is determined that the system is not meeting its requirements.

 

The overall objective of this research is to investigate key technologies to enable the development of Autonomic Applications that are context aware and are capable of self configuring, self composition, self optimizing and self adapting. Specifically, we will investigate the definition of autonomic components, the development of autonomic applications as dynamic composition of autonomic components, and the design of key services on top of the existing middleware and runtime to support these applications. 

 

Curriculum Vitae


My recent resume in [PDF] version

 

Publication


Byoung uk Kim, S. Hariri “Abnormality-based Fault Detection in Distributed System”, The International Journal of Computer and Information Science (IJCIS) Volume 8, Number 3, pp 406-418  2007

S. Hariri, B. Khargharia, H. Chen , Y. Zhang, Byoung uk Kim, H. Liu and M. Parashar, "The Autonomic Computing Paradigm", Cluster Computing: The Journal of Networks, Software Tools and Applications, Special Issue on Autonomic Computing, Vol. 9, No. 2, 2006, Springer-Verlag

Byoung uk Kim, S. Hariri “AppFlow for anomaly detection and root cause analysis in Distributed System”, Publication in IEEE Transactions on Parallel and Distributed Systems (in preparation)

Byoung uk Kim, S. Hariri, Y. Al-Nashif, M. Yousif  “Anomaly-based Fault Detection in Pervasive Computing Systems”, submitted to IEEE International Conference on Pervasive Services (ICPS 2008) , Sorrento, Italy, July 2008

Byoung uk Kim, S. Hariri “Anomaly-based Fault Detection System in Distributed Systems”, 5th IEEE/ACIS  International Conference on Software Engineering Research, Management and Applications (SERA 2007) , Busan, Korea, pp 782-789  August 2007

Byoung uk Kim , S. Hariri “Anomaly-based Fault Detection System using State Interface”, The International Conference on High Performance Computing, Networking and Computer Systems (HPCNCS 2007) , Orlando, USA, July, 2007

H. Chen, Byoung uk Kim, J. Yang, S. Hariri  “Autonomic Runtime System for Large Scale Parallel and Distributed Applications” , The Unconventional Programming Paradigms(UPP’04), Le Mont Saint-Michel, France, pp 297-311 September, 2004

H. Chen, S. Hariri, Byoung Kim, Y. Zang, M. Yousif “Self-Deployment and Self-Configuration of Pervasive Network Services” IEEE International Conference on Pervasive Services, pp 19-23 July, 2004

Byoung uk Kim, I. Ra, Y. Kim, S. Hariri, H. Chen, B. Khargharia, M. Zhang, H.W Park  “An Evaluation of Autonomia Self-Configuration in Network Centric Systems” , The IASTED International Conference on Parallel and Distributed Computing and Networks (PDCN 2004), pp 64-69 Austria, Feburary, 2004

Y. Kim, I. Ra, Byoung uk Kim, S. Hariri, H.W. Park “A Grid-enabled Adaptive Problem-Solving Environment”, The 2nd European Across-Grids Conference(AxGrids2004), Nicosia, Cyprus, pp 119-128 January, 2004

B. Khargharia, S. Hariri, Byoung uk Kim, M. Zhang, P. Vadlamani, M. Parashar “vGrid:  A Framework for Development and Execution of Autonomic Grid Applications” International Conference on High Performance Computing(HiPC2003), Bangalore, INDIA, pp 269-285 December, 2003

Y. Kim, I. Ra, S.Y. Park, Byoung uk Kim, S. Hariri, H.W. Park “ADViCE over Grid Service: Initial Deployment” in the proceedings of Challenges for Large Applications in Distributed Environments (CLADE 2003), Seattle, WA, USA, Computer Society Press, pp 27-31, June, 2003

B. Khargharia, S. Hariri, M. Parashar, L. Ntaimo, Byoung uk Kim, “vGrid: A Framework for Building Autonomic Applications,” in the proceedings of Challenges for Large Applications in Distributed Environments (CLADE 2003), Seattle, WA, USA, Computer Society Press, pp 19-26, June, 2003

Contact Information


Address(School)
Rm 361 ECE Building University of Arizona
Tucson AZ 85719
(520) 626-3727

Email:  kimbu(at)email(dot)arizonal(dot)edu



* This work is supported in part by grants from Intel Corporation ISTG R&D Council, NSF/NGS Contract 030547, NSF/SEI(EAR) Contract 0431079 and NSF CNS-0615323 Contract

Page last modified: Wednesday, 12-March-08
Contact: Byoung uk Kim<kimbu(at)email.arizona.edu>