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UID:8@cds.iisc.ac.in
DTSTART;TZID=Asia/Kolkata:20230822T090000
DTEND;TZID=Asia/Kolkata:20230822T100000
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URL:https://cds.iisc.ac.in/events/ph-d-thesis-defense-cds-22-august-2023%e
 2%80%b3abstractions-and-optimizations-for-data-driven-applications-across-
 edge-and-cloud/
SUMMARY:Ph.D: Thesis Defense: CDS: 22\, August 2023″Abstractions and Opti
 mizations for Data-driven Applications Across Edge and Cloud.”
DESCRIPTION:DEPARTMENT OF COMPUTATIONAL AND DATA SCIENCES\nPh.D. Thesis Def
 ense\n\n__________________________________________________________________
 ________________________\n\nSpeaker : Mr. Aakash Khochare\n\nS.R. Number :
  06-18-02-13-12-16-1-14050\n\nTitle : “Abstractions and Optimizations fo
 r Data-driven Applications Across Edge and Cloud.”\n\nResearch Superviso
 r: Prof. Yogesh Simmhan\n\nDate &amp\; Time : August 22\, 2023 (Tuesday)\,
  09:00 AM\n\nVenue : Room No. 102 (CDS Seminar Hall)\n____________________
 ______________________________________________________________________\nAb
 stract\nModern data driven applications have a novel set of requirements. 
 Advances in deep neural networks (DNN) and computer vision (CV) algorithms
  have made it feasible to extract meaningful insights from large-scale dep
 loyments of urban cameras and drone video feeds. These data driven applica
 tions\, usually composed as workflows\, tend to have high bandwidth and lo
 w latency requirements in order to extract timely results from large data 
 sources. Other applications may necessitate the use of multiple geographic
 ally distributed resources. Such requirements may be driven by data privac
 y regulations such as the General Data Protection Regulation (GDPR) of the
  European Union\, need for specialized hardware\, or as a means of avoidin
 g vendor lock-ins.\n\nTo support these modern applications\, a diverse com
 puting landscape has emerged over the last decade. We have witnessed incre
 asingly powerful Edge computing resources be available in network proximit
 y to the data sources for these applications. The number of Cloud Service 
 Providers (CSPs) has increased along with the regions in which they operat
 e. And finally\, the CSPs have supplemented Infrastructure as a Service (I
 aaS) offerings with modern serverless compute offerings which promise cost
  benefits as well as lower operational overheads.\n\nThe availability of c
 hoices in compute resources makes it challenging for application developer
 s to manage the lifecycle of their applications — from programming the a
 pplication\, to optimizing it for performance\, and finally deploying it. 
 Typically\, developers rely on platforms that promise ease of programmabil
 ity coupled with scalability with minimal developer effort. However\, the 
 combination of application requirements and compute resource characteristi
 cs makes it challenging for platform designers to make design choices that
  optimizes the application for programmability and performance. A thorough
  revisit of existing platforms\, abstractions\, and optimizations is essen
 tial for addressing these challenges.\n\nIn this thesis\, we tackle these 
 challenges with three distinct but related research contributions on scala
 ble platforms\, distributed algorithms and system optimizations: (1) We pr
 opose Anveshak\, a platform that provides a domain specific programming mo
 del and a distributed runtime for efficiently tracking entities in a multi
 -camera network\; (2) We design algorithms and heuristics to solve MSP\, w
 hich co-schedules the flight routes of a drone fleet to visit and record v
 ideo at waypoints\, and perform subsequent on-board Edge analytics\; and (
 3) We develop XFaaS\, a platform that allows “zero touch” deployment o
 f functions and workflows across multiple clouds and Edges by automaticall
 y generating code wrappers\, Cloud queues\, and coordinating with the nati
 ve FaaS engine of a CSP.\n\nThese platforms\, abstractions and optimizatio
 ns solve different combinations of the problem dimensions\, are motivated 
 through real-world applications\, and the solutions are validated through 
 detailed experiments on distributed systems. Taken together\, this suite o
 f contributions addresses the key gaps highlighted in this dissertation an
 d help bridge the gap between modern computing resource characteristics an
 d modern application requirements.\n\n====================================
 ============================\n\nALL ARE WELCOME
CATEGORIES:Events,Thesis Defense
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