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Creators/Authors contains: "Zhang, Haoran"

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  1. ; ; ; (, ACM SIGMOD Record)
    Stateful serverless workflows consist of multiple serverless functions that access state on a remote database. Developers sometimes add a cache layer between the serverless runtime and the database to improve I/O latency. However, in a serverless environment, functions in the same workflow may be scheduled to different nodes with different caches, which can cause non-intuitive anomalies. This paper presents CausalMesh, a novel approach to causally consistent caching in serverless computing. CausalMesh is the first cache system that supports coordination-free and abort-free read/write operations and read transactions when clients roam among multiple servers. CausalMesh also supports read-write transactional causal consistency in the presence of client roaming but at the cost of abort-freedom. Our evaluation shows that CausalMesh has lower latency and higher throughput than existing proposals. 
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    Free, publicly-accessible full text available April 28, 2026
  2. ; ; (, Nature Reviews Methods Primers)
    Full Text Available 
  3. ; ; ; (, Proceedings of the VLDB Endowment)
    Stateful serverless workflows consist of multiple serverless functions that access state on a remote database. Developers sometimes add a cache layer between the serverless runtime and the database to improve I/O latency. However, in a serverless environment, functions in the same workflow may be scheduled to different nodes with different caches, which can cause non-intuitive anomalies. This paper presents CausalMesh, a novel approach to causally consistent caching in serverless computing. CausalMesh is the first cache system that supports coordination-free and abort-free read/write operations and read transactions when clients roam among multiple servers. CausalMesh also supports read-write transactional causal consistency in the presence of client roaming, but at the cost of abort-freedom. Our evaluation shows that CausalMesh has lower latency and higher throughput than existing proposals. 
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    Full Text Available 
  4. ; ; ; (, Proceedings of the VLDB Endowment)
    Stateful serverless workflows consist of multiple serverless functions that access state on a remote database. Developers sometimes add a cache layer between the serverless runtime and the database to improve I/O latency. However, in a serverless environment, functions in the same workflow may be scheduled to different nodes with different caches, which can cause non-intuitive anomalies. This paper presents CausalMesh, a novel approach to causally consistent caching in serverless computing. CausalMesh is the first cache system that supports coordination-free and abort-free read-/write operations and read transactions when clients roam among multiple servers. CausalMesh also supports read-write transactional causal consistency in the presence of client roaming, but at the cost of abort-freedom. Our evaluation shows that CausalMesh has lower latency and higher throughput than existing proposals. 
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    Accepted Manuscript Full Text Available
  5. ; ; ; ; ; ; ; ; ; ; et al (, Journal of Data-centric Machine Learning Research)
    Accepted Manuscript Full Text Available
  6. ; ; ; ; (, IEEE)
    Free, publicly-accessible full text available June 17, 2026
  7. ; ; ; ; ; ; ; ; ; ; et al (, Neurips)
    Accepted Manuscript Full Text Available
  8. ; ; ; ; ; (, USENIX)
    Accepted Manuscript Full Text Available
  9. ; ; ; ; ; ; ; ; (, IEEE Transactions on Networking)
    Free, publicly-accessible full text available December 1, 2026
  10. ; ; ; ; ; ; ; ; ; ; et al (, Journal of Data-centric Machine Learning Research)
    Accepted Manuscript Full Text Available