https://arxiv.org/abs/2501.00021

Skip to main content
Cornell University
We gratefully acknowledge support from the Simons Foundation, member
institutions, and all contributors. Donate
 
arxiv logo > cs > arXiv:2501.00021
[                    ]

Help | Advanced Search

[All fields        ]
Search
arXiv logo
Cornell University Logo
[                    ] GO
quick links

  * Login
  * Help Pages
  * About

Computer Science > Distributed, Parallel, and Cluster Computing

arXiv:2501.00021 (cs)
[Submitted on 16 Dec 2024]

Title:Did we miss P In CAP? Partial Progress Conjecture under
Asynchrony

Authors:Junchao Chen, Suyash Gupta, Daniel P. Hughes, Mohammad
Sadoghi
View a PDF of the paper titled Did we miss P In CAP? Partial Progress
Conjecture under Asynchrony, by Junchao Chen and 3 other authors
View PDF HTML (experimental)

    Abstract:Each application developer desires to provide its users
    with consistent results and an always-available system despite
    failures. Boldly, the CALM theorem disagrees. It states that it
    is hard to design a system that is both consistent and available
    under network partitions; select at most two out of these three
    properties. One possible solution is to design coordination-free
    monotonic applications. However, a majority of real-world
    applications require coordination. We resolve this dilemma by
    conjecturing that partial progress is possible under network
    partitions. This partial progress ensures the system appears
    responsive to a subset of clients and achieves non-zero
    throughput during failures. To this extent, we present the design
    of our CASSANDRA consensus protocol that allows partitioned
    replicas to order client requests.

Comments: 7
Subjects: Distributed, Parallel, and Cluster Computing (cs.DC);
          Databases (cs.DB)
Cite as:  arXiv:2501.00021 [cs.DC]
          (or arXiv:2501.00021v1 [cs.DC] for this version)
          https://doi.org/10.48550/arXiv.2501.00021
          Focus to learn more
          arXiv-issued DOI via DataCite

Submission history

From: Junchao Chen [view email]
[v1] Mon, 16 Dec 2024 13:26:51 UTC (903 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled Did we miss P In CAP? Partial
    Progress Conjecture under Asynchrony, by Junchao Chen and 3 other
    authors
  * View PDF
  * HTML (experimental)
  * TeX Source
  * Other Formats

license icon view license
Current browse context:
cs.DC
< prev   |   next >
new | recent | 2025-01
Change to browse by:
cs
cs.DB

References & Citations

  * NASA ADS
  * Google Scholar
  * Semantic Scholar

a export BibTeX citation Loading...

BibTeX formatted citation

x
[loading...          ]
Data provided by:

Bookmark

BibSonomy logo Reddit logo
(*) Bibliographic Tools

Bibliographic and Citation Tools

[ ] Bibliographic Explorer Toggle
Bibliographic Explorer (What is the Explorer?)
[ ] Connected Papers Toggle
Connected Papers (What is Connected Papers?)
[ ] Litmaps Toggle
Litmaps (What is Litmaps?)
[ ] scite.ai Toggle
scite Smart Citations (What are Smart Citations?)
( ) Code, Data, Media

Code, Data and Media Associated with this Article

[ ] alphaXiv Toggle
alphaXiv (What is alphaXiv?)
[ ] Links to Code Toggle
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
[ ] DagsHub Toggle
DagsHub (What is DagsHub?)
[ ] GotitPub Toggle
Gotit.pub (What is GotitPub?)
[ ] Huggingface Toggle
Hugging Face (What is Huggingface?)
[ ] Links to Code Toggle
Papers with Code (What is Papers with Code?)
[ ] ScienceCast Toggle
ScienceCast (What is ScienceCast?)
( ) Demos

Demos

[ ] Replicate Toggle
Replicate (What is Replicate?)
[ ] Spaces Toggle
Hugging Face Spaces (What is Spaces?)
[ ] Spaces Toggle
TXYZ.AI (What is TXYZ.AI?)
( ) Related Papers

Recommenders and Search Tools

[ ] Link to Influence Flower
Influence Flower (What are Influence Flowers?)
[ ] Core recommender toggle
CORE Recommender (What is CORE?)

  * Author
  * Venue
  * Institution
  * Topic

( ) About arXivLabs

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and
share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have
embraced and accepted our values of openness, community, excellence,
and user data privacy. arXiv is committed to these values and only
works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community?
Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is
MathJax?)

  * About
  * Help

  * Click here to contact arXiv Contact
  * Click here to subscribe Subscribe

  * Copyright
  * Privacy Policy

  * Web Accessibility Assistance
  * arXiv Operational Status
    Get status notifications via email or slack