Original I. Who We Are and What We Are Looking For
OceanClub is a technology community dedicated to data storage and infrastructure innovation. We provide an open, collaborative, and innovative platform for researchers, practitioners, and enthusiasts to connect, share knowledge, and drive technological advancements.
The Data Dialogue magzine is hosted by OceanClub and aims to focus on data storage technology. It provides information, perspectives, trends, implementation practices, from both industry and user viewpoints. We invite experts, scholars, enterprises, associations, and technology enthusiasts to contribute high-quality original articles. These contributions should focus on advancing data infrastructure development, exploring cutting-edge domains such as artificial intelligence, all-flash storage solutions, comprehensive data resilience frameworks, and data center virtualization strategies.
II. Please Read Before Submission
2.1 Submission Formats:
1. Online Submission: OceanClub [Topic] -->Select the corresponding theme (e.g., AI) --> [Topic Articles] section-->click [Article Submission]. (Title should include [Submission])
2. Email Submission: Send documents to memberservice@oceanclub.org (Email subject should include [Submission])
2.2 Submission Requirements:
1. Length: we recommend that in-depth articles be between 3000-4000 words. (Note: references, code, etc., are not counted)
2. Format: Word document for submission, with images recommended in .jpg, .png, .webp formats. Ensure images are publishable and of clear quality (width greater than 1000px). For diagrams like architecture charts, include editable source files in PPT.
After receiving your manuscript, we will conduct the review process ASAP. And if your article is selected, we will reach out to you promptly to confirm and finalize the draft, all within a three-week period.
2.3 Content Suggestions:
We encourage:
1. Basic Requirements: Focus on themes and data infrastructure directions, clear logic, distinct viewpoints, high-quality content with technical depth.
2. For newer technologies like AI, authors should deeply understand the new technology and summarize thoughts and viewpoints. Reference: "Why NVIDIA's System Solutions Favor External Professional Storage in the Era of AI Large Models?"
3. For mature concepts or methodologies like NAS storage, share practical experiences with detailed arguments and data support. Reference: " drift from Pod to see how to select container storage "
4. For project experience sharing, the project should be mature, having been implemented and run in a production environment for a sufficient time. The solution should be chosen after considering various options' applicability and pros and cons. Reference: "Construction of WeBank's Next-Gen Data DR and Backup System"
We discourage:
1. Content that does not match the depth, direction, or topics outlined above.
2. Content unsuitable for community website publication.
3. Content lacking neutrality, fairness, or marketing content.
4. Beginner-level tutorials.
5. Articles lacking sufficient self-validation or factual support.
2.4 Topic Directions (For Reference Only):
You may choose the specific topic yourself or refer to the suggested topic list (see Note 1). Other topics related to data storage are equally welcome.
Option1: Best User Implementation Practices.
As an article on best practices, we hope the article could be practically instructive, with the following sections:
1) What’s the challenge in specific scenario? typical issues?
2) What’s the IT solution? (detailed description of the implementation plan, especially in storage field)
3) WHY choose this solution?
4) How did the proposed solution resolve the identified problems previously mentioned?
5) Value and benefits of the solution for application and business (supporting materials/data is highly recommended)
6) Conclusion, suggestions, key technological innovations
Option 2: development of storage ecosystem
As an article on the storage ecosystem, we hope the article could focus on topics related to the storage technology ecosystem or development of the storage talent ecosystem, with the following sections:
1) challenges encountered in the improvement of personal or organizational capabilities
2) What’s the solution?
3) Value and benefits for business/for personal career
Note 1: topic list for your reference
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About |
Topics |
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AI |
1. In the early stages of building infrastructure for large model data, how can we balance multiple needs such as performance, cost, and security? |
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Production & DR |
2. For DR construction, such as a disaster recovery architecture based on the primary-secondary database mode or combined with storage replication, how can disaster recovery testing be conducted to verify the effectiveness and reliability of the architecture? And when implementing disaster recovery switching, how can the business interruption time be minimized? |
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3. Should the high-availability architecture planning for core production services be implemented through database technology or through storage-layer technology? How can we plan reasonably based on the database scenarios of the applications? |
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Data Resilience |
4. From a storage perspective, what capabilities can be provided to effectively protect against highly stealthy viruses such as Lockbit and WormGPT? |
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5. How to Enhance Data Preservation Capability for Both Short-term and Long-term Retention? Sharing on Integrated Disaster Recovery Construction |
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Virtualization |
6. Sharing Practices on Replacing the VMware Virtualization Platform |
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7. What factors need to be considered regarding security protection in the construction of virtualization platforms? For example, firewalls, intrusion detection, and data encryption? |
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O&M |
8. Sharing practices on enhancing data center resilience through proactive operations and maintenance management |
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9. Sharing practices on precise planning, efficient operations and maintenance, and continuous optimization of data storage. |
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10. Sharing practices on large AI models enhancing storage operations and maintenance？ |
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11. Sharing practices on managing and effectively utilizing vast amounts of unstructured data in the era of large AI models to optimize Total Cost of Ownership (TCO) of storage. |
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Unstructured Data |
12. For unstructured data, how to implement tiered storage and how to plan efficiently to ensure data security. |
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13. How to establish different data retention mechanisms for structured and unstructured data? |
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14. Management and planning for massive unstructured data |
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15. When planning for the storage of massive data, how can we holistically consider reducing resource consumption and overall costs? |
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16. How can data reliability be ensured in the storage of massive amounts of unstructured data? |
III. Original Copyright and Fees
1) Authorship Ownership:
The copyright of original articles belongs to the author, while OceanClub is granted the first publication rights.
2) Community Benefits:
Articles may be republished by OceanClub on associated platforms and used for offline magazine printing.
3) Author Incentives:
Each original article selected for publication in the Data Dialogue magazine will earn the author 2000 points and a corresponding fee.
IV. Contact Us
OceanClub community invites all members to actively contribute and share in the generous rewards! For any questions or assistance, please contact the community operations team at memberservice@oceanclub.org.
