MASTER OF SCIENCE THESIS DEFENSE BY: Lavanya Mandava
When: Thursday,
May 19, 2016
11:00 AM
-
1:00 PM
Where: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
Cost: free
Description: TOPIC: IMPERFECT COVERAGE ANALYSIS FOR CLOUD-RAID SYSTEMS
LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A
ABSTRACT:
Cloud storage is a data storage model where a network of heterogeneous servers is accessible through the Internet for storing, managing and processing data. Cloud users expect to be able to access their data from anywhere at any time without interruption or failure. To achieve high data availability and reliability, Cloud-RAIDs (Redundant Array of Independent Disks) based on various data redundancy techniques are one of the effective solutions. Existing works on reliability modeling of the cloud-RAID systems have assumed perfect fault detection and recovery mechanisms, which is often not true in practice. In this thesis, we relax this assumption by presenting combinatorial approaches based on binary decision diagrams for reliability analysis of cloud-RAID 5 and cloud-RAID 6 systems subject to imperfect fault coverage. Both element level coverage and fault level coverage are addressed. Numerical example results are provided to illustrate effects of the two types of imperfect fault coverage on reliability performance of cloud storage systems.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Liudong Xing
Committee Members: Dr. Honggang Wang, Department of Electrical & Computer Engineering and Dr. Haiping Xu, Department of Computer and Information Science
*For further information, please contact Dr. Liudong Xing at 508.999.8883, or via email at lxing@umassd.edu.
LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A
ABSTRACT:
Cloud storage is a data storage model where a network of heterogeneous servers is accessible through the Internet for storing, managing and processing data. Cloud users expect to be able to access their data from anywhere at any time without interruption or failure. To achieve high data availability and reliability, Cloud-RAIDs (Redundant Array of Independent Disks) based on various data redundancy techniques are one of the effective solutions. Existing works on reliability modeling of the cloud-RAID systems have assumed perfect fault detection and recovery mechanisms, which is often not true in practice. In this thesis, we relax this assumption by presenting combinatorial approaches based on binary decision diagrams for reliability analysis of cloud-RAID 5 and cloud-RAID 6 systems subject to imperfect fault coverage. Both element level coverage and fault level coverage are addressed. Numerical example results are provided to illustrate effects of the two types of imperfect fault coverage on reliability performance of cloud storage systems.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Liudong Xing
Committee Members: Dr. Honggang Wang, Department of Electrical & Computer Engineering and Dr. Haiping Xu, Department of Computer and Information Science
*For further information, please contact Dr. Liudong Xing at 508.999.8883, or via email at lxing@umassd.edu.
Contact:
ECE: Electrical & Computer Engineering Department 508.999.9164 http://www.umassd.edu/engineering/ece/
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering