BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN TZID:Asia/Kolkata X-WR-TIMEZONE:Asia/Kolkata BEGIN:VEVENT UID:55@cds.iisc.ac.in DTSTART;TZID=Asia/Kolkata:20240618T103000 DTEND;TZID=Asia/Kolkata:20240618T113000 DTSTAMP:20240610T175649Z URL:https://cds.iisc.ac.in/events/ph-d-thesis-colloquium-cds-application-s ervice-resilience-framework-an-end-to-end-perspective/ SUMMARY:Ph.D. Thesis {Colloquium}: CDS: "Application Service Resilience Fra mework: An end-to-end perspective." DESCRIPTION:DEPARTMENT OF COMPUTATIONAL AND DATA SCIENCES\nPh.D. Thesis Co lloquium \n\n\n\n\n\nSpeaker                 : Ms. Dhanya R Math ews\nS.R. Number        : 06-18-02-10-12-18-1-15855\nTitle                       :  "Application Service Resilience Framework: An e nd-to-end perspective "\nResearch Supervisor:  Dr. J. Lakshmi\nDate & \; Time         : June 18\, 2024 (Tuesday) at 10:30 AM\nVenue                     : The Thesis Colloquium will be held on HYBRID  Mode\n                                  # 102 CDS Seminar Hall /MICROSOFT TEAMS.\nPlease click on the following link to join the T hesis Colloquium:\nMS Teams link\n\n\n\n\n\n\n\n\n\n\nABSTRACT\n\n\nThe id ea of computing as a utility was realized with the emergence of the cloud computing paradigm. Cloud service providers offer a wide range of services that are delivered over the Internet to cloud service consumers. In its c urrent manifestation\, the Cloud services are realized over multiple logic al\, virtualized\, and distributed resources\, typically using a multi-lay ered architecture. The providers document the non-functional service level guarantees like availability\, performance\, security\, etc\, in Service Level Agreements (SLAs) provided to the consumer as Service Level Objectiv es (SLO). The wide adoption of cloud computing\, compounded with the emerg ence of microservice architecture\, has resulted in a considerable increas e in the number of components involved in service delivery. Manually addre ssing failures in real-time is inefficient and often impossible at the clo ud scale\, where failures are a norm rather than an exception. Ensuring th e quality of an application service\, as documented in the SLA\, therefore requires autonomous mechanisms to enhance cloud services' resilience.\n\n Though cloud setups rely on highly autonomous service layers for managing\ , provisioning\, and monitoring applications\, most of them focus on a spe cific cloud service architecture layer or consider only a particular set o f faults. Any component across the cloud service stack involved in the ser vice delivery could disrupt the SLO. Further\, as cloud services use share d infrastructure\, monitoring and acting on the individual service layer m etrics is limiting. In such a scenario\, the visibility of failure anywher e in the stack can offer effective recovery/remediation strategies\; hence \, an application-oriented approach that takes an end-to-end view of failu res makes the case for any resiliency solution. Towards this\, we propose an end-to-end service resilience framework that employs data-dependent int elligent autonomous mechanisms to deal with cloud service disruptions effi ciently. The intelligence to reduce the effect of disruptions is based on understanding the complex interconnections and inter-dependencies of end-t o-end components in the cloud service stack.\n\nThe different cloud servic e abstraction layers and infrastructure sharing have resulted in increased occurrence of faults\, more specifically\, saturation faults. The initial phase of this work examines real-world disruption scenarios to understand the faults that could disrupt a cloud service. With ever-changing applica tions and environments on which they are hosted\, realizing a failure repo sitory for cloud service faults is infeasible. This makes conventional dat a-oriented approaches less practical and dynamic observability data-orient ed methods more desirable. Towards this\, the second phase of this work de veloped a Topology Aware Root Cause Detection Algorithm (TA-RCD) that cons iders the observability data from end-to-end service components and their interconnectedness. Our results from the fault injection studies show that the proposed approach performs better than the state-of-the-art RCD algor ithm\, at least by 2x times for Top-5 recall and 4x times for Top-3 recall \, on average.\n\nTo autonomously recover a service from its anomalous sta te\, the remediation should target the root cause of anomalous behavior. T he root-cause localizations\, though accurate\, are not restricted to a sp ecific component because of causal effects due to service interactions. In order to identify the anomalous component\, the third phase of this work developed a Topology Aware end-to-end failure Recovery framework (TA-REC) that identifies the appropriate remediation strategy for an anomaly. The a nomaly scores assignment and component activity tracking in TA-REC facilit ates the identification of the component and the remediation that needs to be applied to the component. For the saturation fault scenarios injected across the stack\, TA-REC can identify an adequate remediation/recovery st rategy than the state-of-the-art because of the better visibility of the o rigin of the failure. The end-to-end visibility hence enables TA-REC to be effective against an anomaly.\n\nIn conclusion\, this work demonstrated t he usefulness of the end-to-end topology of a cloud application service to remediate anomalies that challenge the service quality efficiently. The o bservations prove that looking at the service as a black box restricts the development of intelligent autonomous approaches to guarantee SLOs. The p roof-of-concept evaluations demonstrated that the intelligence to maintain service resilience effectively is based on an accurate understanding of t he end-to-end state\, as it facilitates maintaining component serviceabili ty by targeting the cause of failure in the stack. Future work aims to eva luate both TA-RCD and TA-REC for a broader range of fault scenarios in rea l-life production deployments.\n\n\n\n\n\n\nALL ARE WELCOME\n\n CATEGORIES:Events,Ph.D. Thesis Colloquium END:VEVENT BEGIN:VTIMEZONE TZID:Asia/Kolkata X-LIC-LOCATION:Asia/Kolkata BEGIN:STANDARD DTSTART:20230619T103000 TZOFFSETFROM:+0530 TZOFFSETTO:+0530 TZNAME:IST END:STANDARD END:VTIMEZONE END:VCALENDAR