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UID:32@cds.iisc.ac.in
DTSTART;TZID=Asia/Kolkata:20240129T093000
DTEND;TZID=Asia/Kolkata:20240129T103000
DTSTAMP:20240119T062759Z
URL:https://cds.iisc.ac.in/events/ph-d-thesis-defense-hybridcds-29-january
 -2024end-to-end-resiliency-analysis-framework-for-cloud-storage-services/
SUMMARY:Ph.D: Thesis Defense: HYBRID:CDS: 29\, January 2024 "End-to-end Res
 iliency Analysis Framework for Cloud Storage Services."
DESCRIPTION:\nDEPARTMENT OF COMPUTATIONAL AND DATA SCIENCES\n\n\nPh.D. Thes
 is Defense \n\n\n\nSpeaker          : Ms. Archita Ghosh\nS.R. Numbe
 r  : 06-18-02-10-12-17-1-14492\nTitle                : "End-to-e
 nd Resiliency Analysis Framework for Cloud Storage Services."\nResearch Su
 pervisor :Dr Lakshmi Jagarlamudi\nDate &amp\; Time  : January 29\, 2024
  (Monday)\, 09:30 AM\nVenue              : The Thesis Défense w
 ill be held on HYBRID Mode\n\n# 102 CDS Seminar Hall /MICROSOFT TEAMS\n
 \nPlease click on the following link to join the Thesis Defense:\nMS Teams
  link\n\n\n\n\n\nABSTRACT\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\
 n\n\n\n\n\n\nCloud storage service brought the idea of a global scale stor
 age system available on-demand and accessible from anywhere. Despite the b
 enefits\, resiliency remains one of the key issues that hinder the wide ad
 aptation of storage services. The data is hosted on cloud data centers con
 taining hundreds of thousands of commodity-grade hardware with layers of c
 omplex software. Failures due to system crashes\, natural disasters\, cybe
 r-attacks\, etc.\, are common and frequent in such environments. To keep t
 he service unaffected by such events\, resiliency is essential for cloud s
 ystems. For storage services\, resiliency is far more critical because los
 ing access to data or\, more importantly\, a complete data loss can have a
  catastrophic impact on the client.\n\n\n\n\n\n\n\n\nThe existing works on
  storage resiliency focus on maintaining sufficient user data redundancy i
 n the system to maintain a reliable service. However\, providing a global-
 scale storage solution requires various functional and management layers t
 o ensure the service is accessible and all the stored items are durable. T
 he first part of our work proves that resiliency at the stored data level 
 does not guarantee service level reliability. A generic cloud storage syst
 em model is designed to analytically show that the reliability achieved at
  the service level drastically differs from the reliability ensured by sto
 red data redundancy. This motivates us to bring the entire system into pur
 view to understand cloud storage resiliency.\n\nDue to the complexity and 
 variation of large-scale storage architectures\, assessing end-to-end stor
 age resiliency is a challenging task. To achieve this\, the second part of
  the work proposes a generic resiliency evaluation method for cloud storag
 e services. The method identifies the essential functional layers for stor
 age service and the components constituting the layers. It then performs a
 n in-depth behavior analysis during all possible failures of each componen
 t. The method is used to assess the resiliency of two diverse and real-wor
 ld cloud storage services\, OpenStack Swift and CephFS. The analysis ident
 ifies various resiliency weak points in the service architectures and depi
 cts the effectiveness of different resiliency methods used at various laye
 rs.\n\nThe third part of the work extends the resiliency evaluation method
  to understand the correlation of resiliency with the service usage patter
 n. A storage service can be used for different use cases resulting in the 
 variation of request interarrival time\, read and write ratio\, accessed d
 ata and metadata\, etc. Hence\, the components involved in access sequence
 s may differ\, and so can their failure impact. Using the improved resilie
 ncy evaluation method and access patterns identified from real traces\, we
  show that resiliency can be selective and dynamically adjusted based on w
 orkloads without affecting service reliability.\n\nFinally\, the work defi
 nes an end-to-end resiliency analysis framework for cloud storage services
  that enables quantification\, comparison\, and optimization of cloud stor
 age resiliency. The framework allows effective modeling of cloud storage r
 esilience by combining the resiliency of each component participating in s
 ervice reliability maintenance for specific workloads. The framework succe
 ssfully models the resiliency of OpenStack Swift and CephFS as Stochastic 
 Petri Nets (SPNs). The models are used to quantify and compare the resilie
 ncy of the above two service architectures and demonstrate how to optimize
  resiliency while achieving expected service reliability.\n\n\n\nALL ARE W
 ELCOME\n\n\n\n\n\n
CATEGORIES:Events,Thesis Defense
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