Serverless workflow systems orchestrate directed acyclic graphs (DAGs) of short-lived functions to build complex data-processing applications. Conventional designs rely on external storage services to transfer intermediate state between dependent functions, incurring substantial serialization and deserialization overhe...
Wang Xiong, Zhi-Da Jiang, Zhuo-Cheng Ge et al.· Proceedings of the Internati...· 0 citations
Microservice architecture is a pivotal paradigm for refactoring monolithic systems to improve maintainability and evolvability. However, automated, explainable decomposition remains a difficult task, especially when balancing structural soundness with semantic consistency in complex legacy systems. We present MicroWeav...
Hui-Tian Xue, Kai-Rui Zhang, Chen-Xi Zhang et al.· Proceedings of the 41st IEEE...· 0 citations
Time-series anomaly detection (TSAD) identifies deviations from patterns learned from historical data. In non-stationary settings, distribution drift and true anomalies can cause similar local changes, making it difficult to tell whether a deviation reflects abnormality or evolving context. Existing methods typically a...
Xu-Dong Mou, Tie-Jun Wang, Rui Wang et al.· 0 citations
DeepShare is a scheduler that uses a continuous tenant-assurance signal to coordinate these decisions at runtime to achieve a more advantageous utilization-QoS trade-off than optimizing quotas, scheduling, and resource sharing independently.
Jing-Hao Wang, Yi-Hang Zhou, Xiao Zhou et al.· 0 citations
A prediction-guided runtime that uses workflow forecasts to construct and optimize a physical execution graph and reduces end-to-end makespan and overall p95 completion latency under burst arrivals by up to 36.8% and 25.8% over state-of-the-art workflow schedulers.
Jing-Hao Wang, Yi-Feng Zhang, Xiao Zhou et al.· 0 citations
This work presents SpecBox, a runtime built around speculative sandbox preallocation tailored for dynamic LLM agent execution pipelines, and implements keyword matching and streaming semantic embedding to enable intent-driven sandbox prewarming, which identifies pending tool execution demands mid-LLM token generation a...
Yi-Hui Zhang, Tian-Yu Wo, Jing-Hao Wang et al.· arXiv.org· 1 citation
ElastiCo is presented, an elastic co-location framework that enables training and inference workloads to safely share GPUs through three integrated mechanisms that decomposes the resulting multi-resource allocation problem into per-job configuration selection subproblems via dynamic per-resource shadow prices.
Jing-Hao Wang, Yi-Hang Zhou, Xiaoyang Sun et al.· 0 citations
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