1,720,954 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Henge: An intent-driven scheduler for multi-tenant stream processing
Get PDFThis thesis presents Henge, a system that supports intent-based multi-tenancy in modern stream processing applications. Henge supports multi-tenancy as a first-class citizen: everyone inside an organization can now submit their stream processing jobs to a single, shared, consolidated cluster. Additionally, Henge allows each tenant (job) to specify its own intents (i.e., requirements) as a Service Level Objective (SLO) that captures latency and/or throughput. In a multi-tenant cluster, the Henge scheduler adapts continually to meet jobs’ SLOs in spite of limited cluster resources, and under dynamic input workloads. SLOs are soft and are based on utility functions. Henge continually tracks SLO satisfaction, and when jobs miss their SLOs, it wisely navigates the state space to perform resource allocations in real time, maximizing total system utility achieved by all jobs in the system. Henge is integrated in Apache Storm and the thesis presents experimental results, using both production topologies and real datasets.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-12-01The student, Faria Kalim, accepted the attached license on 2017-12-04 at 13:41.The student, Faria Kalim, submitted this Thesis for approval on 2017-12-04 at 13:51.This Thesis was approved for publication on 2017-12-04 at 16:54.DSpace SAF Submission Ingestion Package generated from Vireo submission #11818 on 2018-03-13 at 10:37:19Made available in DSpace on 2018-03-13T17:35:43Z (GMT). No. of bitstreams: 2
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Previous issue date: 2017-12-04Embargo set by: Seth Robbins for item 105472
Lift date: 2020-03-13T17:36:05Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 105472 on 2020-03-14T09:15:12Z
Variations on the Author
Get PDF“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
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe 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
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Satisfying service level objectives in stream processing systems
Get PDFAn increasing number of real-world applications today consume massive amounts of data in real-time to produce up to date results. These applications include social media sites that show top trends and recent comments, streaming video analytics that identify traffic patterns and movement, and jobs that process ad pipelines. This has led to the proliferation of stream processing systems that process such data to produce real-time results. As these applications must produce results quickly, users often wish to impose performance requirements on the stream processing jobs, in the form of service level objectives (SLOs) that include producing results within a specified deadline or producing results at a certain throughput. For example, an application that identifies traffic accidents can have tight latency SLOs as paramedics may need to be informed, where given a video sequence, results should be produced within a second. A social media site could have a throughput SLO where top trends should be updated with all received input per minute.
Satisfying job SLOs is a hard problem that requires tuning various deployment parameters of these jobs. This problem is made more complex by challenges such as 1) job input rates that are highly variable across time e.g., more traffic can be expected during the day than at night, 2) transparent components in the jobs' deployed structure that the job developer is unaware of, as they only understand the application-level business logic of the job, and 3) different deployment environments per job e.g., on a cloud infrastructure vs. on a local cluster. In order to handle such challenges and ensure that SLOs are always met, developers often over-allocate resources to jobs, thus wasting resources.
In this thesis, we show that SLO satisfaction can be achieved by resolving (i.e., preventing or mitigating) bottlenecks in key components of a job's deployed structure. Bottlenecks occur when tasks in a job do not have sufficient allocation of resources (CPU, memory or disk), or when the job tasks are assigned to machines in a way that does not preserve locality and causes unnecessary message passing over the network, or when there are an insufficient number of tasks to process job input. We have built three systems that tackle the challenges of satisfying SLOs of stream processing jobs that face a combination of these bottlenecks in various environments.
We have developed Henge, a system that achieves SLO satisfaction of stream processing jobs deployed on a multi-tenant cluster of resources. As the input rates of jobs change dynamically, Henge makes cluster-level resource allocation decisions to continually meet jobs' SLOs in spite of limited cluster resources. Second, we have developed Meezan, a system that aims to remove the burden of finding the ideal resource allocation of jobs deployed on commercial cloud platforms, in terms of performance and cost, for new users of stream processing. When a user submits their job to Meezan, it provides them with a spectrum of throughput SLOs for their jobs, where the most performant choice is associated with the highest resource usage and consequently cost, and vice versa. Finally, we have built Caladrius in collaboration with Twitter that enables users to model and predict how input rates of jobs may change in the future. This allows Caladrius to preemptively scale a job out when it anticipates high workloads to prevent SLO misses. Henge is built atop Apache Storm, while Meezan and Caladrius are integrated with Apache Heron.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-08-01The student, Faria Kalim, accepted the attached license on 2020-07-12 at 18:32.The student, Faria Kalim, submitted this Dissertation for approval on 2020-07-12 at 19:18.This Dissertation was approved for publication on 2020-07-14 at 16:13.DSpace SAF Submission Ingestion Package generated from Vireo submission #15582 on 2020-10-02 at 15:32:36Made available in DSpace on 2020-10-07T22:44:32Z (GMT). No. of bitstreams: 2
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Previous issue date: 2020-07-14Embargo set by: Seth Robbins for item 116227
Lift date: 2022-10-07T22:44:53Z
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koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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