1,721,704 research outputs found
FReAK: fault injection based resilience assessment of Kubernetes
Some factors contributing to cluster outages and failures, resulting in revenue loss and diminished trust among cloud providers and users, are rooted within container orchestrators. This underscores the necessity for thorough resilience testing. Resilience assessment of Kubernetes, the most widely adopted container orchestrator, using nearly 12000 fault injections in the control plane of Kubernetes performed using FReAK, an automated fault injector, is presented in this thesis. Subsequently, the vulnerable functionalities of the components are uncovered. Additionally, a Bayesian model for fault localization and higher fault manifestation is designed. The results of the fault injections show that about 60% of the activated faults do not affect the control plane, but critical failures that make at least one control plane component unavailable were observed in 11% of the fault injections. Moreover, the API server turned out to be the most critical. The results also indicated insufficiency in input validation and insufficiency of heartbeats in indicating the availability of the components. Testing the Kubernetes control plane through such tests can aid in the development of more robust resilience strategies.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-05-01The student, Harshitha Sreejith, accepted the attached license on 2024-05-02 at 22:49.The student, Harshitha Sreejith, submitted this Thesis for approval on 2024-05-02 at 22:51.This Thesis was approved for publication on 2024-05-03 at 11:48.DSpace SAF Submission Ingestion Package generated from Vireo submission #20770 on 2024-09-16 at 00:51:1
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
sj-docx-8-hpq-10.1177_13591053221120340 – Supplemental material for Resilience factors during the Coronavirus pandemic: Testing the main effect and stress buffering models of optimism and positive affect with mental and physical health
Supplemental material, sj-docx-8-hpq-10.1177_13591053221120340 for Resilience factors during the Coronavirus pandemic: Testing the main effect and stress buffering models of optimism and positive affect with mental and physical health by Harshitha Venkatesh, Amber M Osorno, Julia K Boehm, and Brooke N Jenkins in Journal of Health Psychology</p
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
sj-do-5-hpq-10.1177_13591053221120340 – for Resilience factors during the Coronavirus pandemic: Testing the main effect and stress buffering models of optimism and positive affect with mental and physical health
sj-do-5-hpq-10.1177_13591053221120340 for Resilience factors during the Coronavirus pandemic: Testing the main effect and stress buffering models of optimism and positive affect with mental and physical health by Harshitha Venkatesh, Amber M Osorno, Julia K Boehm, and Brooke N Jenkins in Journal of Health Psychology</p
Adaptive load balancing for HPC applications
One of the critical factors that affect the performance of many applications is load imbalance. Applications are increasingly becoming sophisticated and are using irregular structures and adaptive refinement techniques, resulting in load imbalance. Moreover, systems are becoming more complex. The number of cores per node is increasing substantially and nodes are becoming heterogeneous. High variability in the performance of the hardware components introduces further imbalance. Load imbalance leads to drop in system utilization and degrades the performance. To address the load imbalance problem, many HPC applications employ dynamic load balancing algorithms to redistribute the work and balance the load. Therefore, performing load balancing is necessary to achieve high performance.
Different application characteristics warrant different load balancing strategies. We need a variety of high-quality, scalable load balancing algorithms to cater to different applications. However, using an appropriate load balancer is insufficient to achieve good performance because performing load balancing incurs a cost. Moreover, due to the dynamic nature of the application, it is hard to decide when to perform load balancing. Therefore, deciding when to load balance and which strategy to use for load balancing may not be possible a priori.
With the ever increasing core counts on a node, there will be a vast amount of on-node parallelism. Due to the massive on-node parallelism, load imbalance occurring at the node level can be mitigated within the node instead of performing a global load balancing. However, having the application developer manage resources and handle dynamic imbalances is inefficient as well as is a burden on the programmer.
The focus of this dissertation is on developing scalable and adaptive techniques for handling load imbalance. The dissertation presents different load balancing algorithms for handling inter and intra-node load imbalance. It also presents an introspective run-time system, which will monitor the application and system characteristics and make load balancing decisions automatically.Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-02-28 without embargo termsThe student, Harshitha Menon Gopalakrishnan Menon, accepted the attached license on 2016-10-10 at 10:41.The student, Harshitha Menon Gopalakrishnan Menon, submitted this Dissertation for approval on 2016-10-10 at 11:06.This Dissertation was approved for publication on 2016-10-10 at 15:37.DSpace SAF Submission Ingestion Package generated from Vireo submission #10184 on 2017-02-28 at 14:46:33Made available in DSpace on 2017-03-01T15:46:12Z (GMT). No. of bitstreams: 3
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Previous issue date: 2016-10-1
sj-sps-1-hpq-10.1177_13591053221120340 – for Resilience factors during the Coronavirus pandemic: Testing the main effect and stress buffering models of optimism and positive affect with mental and physical health
sj-sps-1-hpq-10.1177_13591053221120340 for Resilience factors during the Coronavirus pandemic: Testing the main effect and stress buffering models of optimism and positive affect with mental and physical health by Harshitha Venkatesh, Amber M Osorno, Julia K Boehm, and Brooke N Jenkins in Journal of Health Psychology</p
Supplementary_Material – Supplemental material for Incidence Trends and Predictors of In-Hospital Mortality in Drowning in Children and Adolescents in the United States: A National Inpatient Database Analysis
Supplemental material, Supplementary_Material for Incidence Trends and Predictors of In-Hospital Mortality in Drowning in Children and Adolescents in the United States: A National Inpatient Database Analysis by Krishna Kishore Umapathi, Aravind Thavamani, Harshitha Dhanpalreddy, Jasmine Khatana and Aparna Roy in Clinical Pediatrics</p
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