11th International Workshop on Data Management on New Hardware, DaMoN 2015 - In conjunction with the ACM SIGMOD/PODS Conference

Country

United States

Universities and research institutions in United States
Media Ranking in United States

Subject Area and Category

Chemical Engineering
- Fluid Flow and Transfer Processes

Computer Science

Earth and Planetary Sciences
- Geotechnical Engineering and Engineering Geology

Engineering
- Mechanical Engineering

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

The aim of this one-day workshop is to bring together researchers who are interested in optimizing database performance on modern computing infrastructure by designing new data management techniques and tools. The continued evolution of computing hardware and infrastructure imposes new challenges and bottlenecks to program performance. As a result, traditional database architectures that focus solely on I/O optimization increasingly fail to utilize hardware resources efficiently. Multi-core CPUs, GPUs, new memory and storage technologies (such as flash and phase change memory), and low-power hardware impose a great challenge to optimizing database performance. Consequently, exploiting the characteristics of modern hardware has become an important topic of database systems research. The goal is to make database systems adapt automatically to the sophisticated hardware characteristics, thus passing maximum performance to applications in transparent fashion. To achieve this goal, the data management community needs interdisciplinary collaboration with computer architecture, compiler and operating systems researchers. This involves rethinking traditional data structures, query processing algorithms, and database software architectures to adapt to the advances in the underlying hardware infrastructure.

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SJR

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Year	SJR
2016	0.315
2017	0.315
2018	0.246

Total Documents

Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.

Year	Documents
2016	0
2017	0
2018	0

Citations per document

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Cites per document	Year	Value
Cites / Doc. (4 years)	2016	0.929
Cites / Doc. (4 years)	2017	1.643
Cites / Doc. (4 years)	2018	2.357
Cites / Doc. (3 years)	2016	0.929
Cites / Doc. (3 years)	2017	1.643
Cites / Doc. (3 years)	2018	2.357
Cites / Doc. (2 years)	2016	0.929
Cites / Doc. (2 years)	2017	1.643
Cites / Doc. (2 years)	2018	0.000

Total Cites

Self-Cites

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

Cites	Year	Value
Self Cites	2016	0
Self Cites	2017	0
Self Cites	2018	0
Total Cites	2016	13
Total Cites	2017	23
Total Cites	2018	33

External Cites per Doc

Cites per Doc

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

Cites	Year	Value
External Cites per document	2016	0.929
External Cites per document	2017	1.643
External Cites per document	2018	2.357
Cites per document	2016	0.929
Cites per document	2017	1.643
Cites per document	2018	2.357

% International Collaboration

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

Year	International Collaboration
2016	0
2017	0
2018	0

Citable documents

Non-citable documents

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

Documents	Year	Value
Non-citable documents	2016	2
Non-citable documents	2017	2
Non-citable documents	2018	2
Citable documents	2016	12
Citable documents	2017	12
Citable documents	2018	12

Cited documents

Uncited documents

Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

Documents	Year	Value
Uncited documents	2016	6
Uncited documents	2017	5
Uncited documents	2018	6
Cited documents	2016	8
Cited documents	2017	9
Cited documents	2018	8

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