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Thursday, February 23, 2023
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11:00 AM
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1:00 PM
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ELEC Research Component of PhD Qualifier Exam by Priscila de Paula Silva
- Location: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
- Cost: Free
- Contact: ECE: Electrical & Computer Engineering Department
- Description: Topic: NON-EQUIDISTANT CHECKPOINTING AND QUANTITATIVE RESILIENCE MODELING
Location: Lester W. Cory Conference Room
Science & Engineering Building (SENG), Room 213A
Zoom Conference Link: https://umassd.zoom.us/j/95685219450
Meeting ID: 956 8521 9450 Passcode: 681791
Abstract:
Software intensive systems rely on checkpointing to prevent loss of computation, by performing periodic backups. Non-equidistant checkpointing strategies have been proposed for specialized hardware and software applications as well as specific failure distributions. However, a general method to identify a non-equidistant checkpointing strategy for an arbitrary combination of application and failure distribution would be beneficial. This thesis proposes an approach to identify a near optimal non-equidistant checkpointing strategy with a genetic algorithm, which only requires knowledge of the failure distribution. Experiments suggest that the approach consistently outperforms the traditional strategy of equidistant checkpoints under (i) a range of total processing times and (ii) different values of distributions exhibiting increasing, constant, and decreasing failure rates. Although many systems and processes are amenable to reliability modeling, researchers have also demonstrated interest in bringing a system back to its original performance after a deterioration, which is known as resilience engineering: the ability of a system to respond, absorb, adapt, and recover from a disruptive event. Several metrics to quantify resilience have been proposed in the literature. However, fewer studies have proposed models to predict the metrics. Hence, this thesis presents two alternative approaches to model and predict performance and resilience metrics, including (i) bathtub-shaped hazard functions and (ii) mixture distributions with techniques from reliability engineering. Historical data on job loss during recessions in the United States are used to assess the predictive accuracy of these approaches. The results suggest that both approaches can produce accurate predictions for several of the data sets well, but that data sets that experience a sudden drop in performance or deviate from the assumption of a single decrease and subsequent increase cannot be fit to either class of proposed models, necessitating additional modeling efforts that can effectively characterize these more general scenarios.
Advisor(s):
Dr. Lance Fiondella, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Committee Members:
Dr. Hong Liu, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Dr. Ruolin Zhou, Assistant Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
*For further information, please contact Dr. Yifei Li via email at yifei.li@umassd.edu
- Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
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12:00 PM
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3:00 PM
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Frederick Douglass Unity House 34th Annual National African American Read-In
- Location: > See description for location
- Contact: > See Description for contact information
- Description: Join the UMass Dartmouth community in reading or listening to your favorite African American authors, poets, and spoken word artists.
Contact: Donna Moore, dmoore@umassd.edu or 508-999-9222
Sponsored by the Frederick Douglass Unity House & BH4S
- Topical Areas: Alumni, General Public, University Community, Black History 4 Seasons
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12:00 PM
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3:00 PM
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Health and Nursing Career Fair
- Location: The Marketplace
- Contact: Career Center
- Description: Come network and speak with recruiters from more than 40 organizations looking to hire students for full-time positions and internships. Students in healthcare-related majors (including nursing, med lab science, business/healthcare/organizational management, human resources, psychology, biology, chemistry, health & society, sociology & anthropology) are encouraged to attend. This targeted fair is the perfect opportunity to begin networking professionally and to position yourself for future success in your field!
Come dressed professionally with copies of your resumes.
Student registration for this event starts late January 2023.
- Link: https://bit.ly/2023NursingHealthFair
- Topical Areas: Alumni, Faculty, Staff and Administrators, Students, Students, Graduate, Students, Undergraduate, University Community, Career Center, Student Affairs
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2:00 PM
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3:00 PM
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Walk-in Study Abroad Advising
- Location: International Programs Office LARTS 016
- Contact: International Programs Office
- Description: Have a quick question for a study abroad advisor? Would you like to start planning your study abroad experience? Drop by the IPO (LARTS 016) between 2:00 to 3:00. Students will be seen on a first-come, first-served basis.
- Topical Areas: Faculty, Staff and Administrators, Students, University Community, Study Abroad
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3:00 PM
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5:00 PM
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Excel Charts
- Location: > See description for location
- Cost: Free!
- Contact: CITS Instructional Development
- Description: This workshop provides a thorough exploration of charting with Excel. Participants create pie, line, stacked column, stock and scatter charts, and learn the proper uses of each. Custom axis formatting and trend lines are also covered. Previous Excel experience is required.
This workshop will take place in the Library, room 128.
Contact Rich Legault for more information at 508-999-8799,
or email RLegault@umassd.edu.
- Topical Areas: Training, Workshop, audience: Everyone
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4:00 PM
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8:00 PM
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International Cuisine Series: Haiti with HASA
- Location: The Grove
- Contact: > See Description for contact information
- Description: Thank you to the Haitian American Student Association for partnering with Dining Services and planning the menu for our Haitian Dinner!
Questions? Email us at dining@umassd.edu, follow us on social @UMassDEats or visit our website: dineoncampus.com/umassd.
- Link: https://dineoncampus.com/umassd/events
- Topical Areas: Alumni, Faculty, Law Alumni, SMAST, Staff and Administrators, Students, Students, Graduate, Students, Law, Students, Undergraduate, University Community, University Marketing
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