Fachbereich Betriebssysteme, Kommunikationssysteme und Verteilte Systeme (SYS): Difference between revisions
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== ISC High Performance 2026 == | |||
=== What types of artifacts are being gathered?=== | |||
The submission process involves several distinct types of digital and informational artifacts: | |||
* Research Paper Abstract: A summary of up to 250 words, submitted initially. | |||
* Full Research Paper: A PDF document of up to 10 pages (excluding references). | |||
* Appendices: Optional supplementary material included after the references (no page limit, though reviewers are not required to read them). | |||
* Camera-Ready Version: The final version of the paper, allowed an additional page (10+1) to address reviewer feedback. | |||
* Written Rebuttals: Formal written responses provided by authors during the rebuttal phase to clarify reviewer misunderstandings. | |||
* Short Pre-recorded Video Summary: A mandatory artifact for all paper presenters, used for the event platform. | |||
* Presentation Slides: Digital slides used during the in-person presentation at the conference. | |||
=== What schemas are being used for submission, metadata, etc.? === | |||
While the CfP does not explicitly name a metadata schema like Dublin Core, it specifies the following technical and procedural frameworks: | |||
* IEEE Conference Manuscript Templates: Authors are required to use the standard IEEE formatting schemas/templates for the paper layout and structure. | |||
* IEEE Xplore Digital Library: This is the target repository for final publication, which dictates the indexing and metadata standards (e.g., DOI assignment, author metadata). | |||
* DBLP (Computer Science Bibliography): Used as the standard for bibliographic metadata and cross-referencing. | |||
* Double-Anonymous Review Schema: A specific procedural "schema" where all identifying information (names, affiliations, funding, acknowledgments) must be redacted or cited in a third-party manner during the initial submission. | |||
* AI Disclosure Schema: A requirement to transparently describe the use of AI tools within the "methods, acknowledgment, or equivalent section" of the paper. | |||
=== Are these venue-specific? === | |||
Yes, at least most of them. | |||
Latest revision as of 13:10, 21 April 2026
ISC High Performance 2026[edit]
What types of artifacts are being gathered?[edit]
The submission process involves several distinct types of digital and informational artifacts:
- Research Paper Abstract: A summary of up to 250 words, submitted initially.
- Full Research Paper: A PDF document of up to 10 pages (excluding references).
- Appendices: Optional supplementary material included after the references (no page limit, though reviewers are not required to read them).
- Camera-Ready Version: The final version of the paper, allowed an additional page (10+1) to address reviewer feedback.
- Written Rebuttals: Formal written responses provided by authors during the rebuttal phase to clarify reviewer misunderstandings.
- Short Pre-recorded Video Summary: A mandatory artifact for all paper presenters, used for the event platform.
- Presentation Slides: Digital slides used during the in-person presentation at the conference.
What schemas are being used for submission, metadata, etc.?[edit]
While the CfP does not explicitly name a metadata schema like Dublin Core, it specifies the following technical and procedural frameworks:
- IEEE Conference Manuscript Templates: Authors are required to use the standard IEEE formatting schemas/templates for the paper layout and structure.
- IEEE Xplore Digital Library: This is the target repository for final publication, which dictates the indexing and metadata standards (e.g., DOI assignment, author metadata).
- DBLP (Computer Science Bibliography): Used as the standard for bibliographic metadata and cross-referencing.
- Double-Anonymous Review Schema: A specific procedural "schema" where all identifying information (names, affiliations, funding, acknowledgments) must be redacted or cited in a third-party manner during the initial submission.
- AI Disclosure Schema: A requirement to transparently describe the use of AI tools within the "methods, acknowledgment, or equivalent section" of the paper.
Are these venue-specific?[edit]
Yes, at least most of them.