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UID:2@cds.iisc.ac.in
DTSTART;TZID=Asia/Kolkata:20230703T110000
DTEND;TZID=Asia/Kolkata:20230703T120000
DTSTAMP:20231102T050419Z
URL:https://cds.iisc.ac.in/events/ph-d-thesis-colloquium-cds-03-july-2023-
 end-to-end-resiliency-analysis-framework-for-cloud-storage-services/
SUMMARY:Ph.D. Thesis {Colloquium}: “End-to-end Resiliency Analysis Framew
 ork for Cloud Storage Services.”
DESCRIPTION:\n\n\n\nSpeaker                 : Ms.  Archita Ghosh
 \n\n\nS.R. Number         : 06-18-02-10-12-17-1-14492\n\n\n\n\nTitle
                        : “End-to-end Resiliency Analysis Fr
 amework for Cloud Storage Services.“\n\nResearch Supervisor: Dr. J. Laks
 hmi\n\n\n\n\n\nDate &amp\; Time         : July 03\, 2023 (Monday) at
  11:00 AM\n\n\n\n\nVenue                     : Room No. 102 (CD
 S Seminar Hall)\n\n\n\n\n_________________________________________________
 ________________________________\n\n\n\n\nAbstract\n\n\n\n\n\n\n\n\n\n\n\n
 \n\nCloud storage service brought the idea of a global scale storage syste
 m available on-demand and accessible from anywhere. Despite the benefits\,
  resiliency remains one of the key issues that hinder the wide adaptation 
 of storage services. The data is hosted on cloud data centers containing h
 undreds of thousands of commodity-grade hardware with layers of complex so
 ftware. Failures due to system crashes\, natural disasters\, cyber-attacks
 \, etc.\, are common and frequent in such environments. To keep the servic
 e unaffected by such events\, resiliency is essential for cloud systems. F
 or storage services\, resiliency is far more critical because losing acces
 s to data or\, more importantly\, a complete data loss can have a catastro
 phic impact on the client.\n\nThe existing works on storage resiliency foc
 us on maintaining sufficient user data redundancy in the system to maintai
 n a reliable service. However\, providing a global-scale storage solution 
 requires various functional and management layers to ensure the service is
  accessible and all the stored items are durable. The first part of our wo
 rk proves that resiliency at the stored data level does not guarantee serv
 ice level reliability. A generic cloud storage system model is designed to
  analytically show that the reliability achieved at the service level dras
 tically differs from the reliability ensured by stored data redundancy. Th
 is motivates us to bring the entire system into purview to understand clou
 d storage resiliency.\n\nDue to the complexity and variation of large-scal
 e storage architectures\, assessing end-to-end storage resiliency is a cha
 llenging task. To achieve this\, the second part of the work proposes a ge
 neric resiliency evaluation method for cloud storage services. The method 
 identifies the essential functional layers for storage service and the com
 ponents constituting the layers. It then performs an in-depth behavior ana
 lysis during all possible failures of each component. The method is used t
 o assess the resiliency of two diverse and real-world cloud storage servic
 es\, OpenStack Swift and CephFS. The analysis identifies various resilienc
 y weak points in the service architectures and depicts the effectiveness o
 f different resiliency methods used at various layers.\n\nThe third part o
 f the work extends the resiliency evaluation method to understand the corr
 elation of resiliency with the service usage pattern. A storage service ca
 n be used for different use cases resulting in the variation of request in
 terarrival time\, read and write ratio\, accessed data and metadata\, etc.
  Hence\, the components involved in access sequences may differ\, and so c
 an their failure impact. Using the improved resiliency evaluation method a
 nd access patterns identified from real traces\, we show that resiliency c
 an be selective and dynamically adjusted based on workloads without affect
 ing service reliability.\n\nFinally\, The work defines an end-to-end resil
 iency analysis framework for cloud storage services that enables quantific
 ation\, comparison\, and optimization of cloud storage resiliency. The fra
 mework allows effective modeling of cloud storage resilience by combining 
 the resiliency of each component participating in service reliability main
 tenance for specific workloads. The framework successfully models the resi
 liency of OpenStack Swift and CephFS as Stochastic Petri Nets (SPNs). The 
 models are used to quantify and compare the resiliency of the above two se
 rvice architectures and demonstrate how to optimize resiliency while achie
 ving expected service reliability.\n\n====================================
 ===========================================\n\n\n\n\nALL ARE WELCOME\n\n\n
 \n\n\n
CATEGORIES:Events,Ph.D. Thesis Colloquium
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