宏伟
发表于 2025-3-30 12:15:50
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WAG
发表于 2025-3-30 14:44:59
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明确
发表于 2025-3-30 17:49:55
Business Objects - A New Business Process Modeling Approach process model properly. After that, the ability of BOOWM for process specification is evaluated based on a set of workflow patterns. Finally, we illustrate BOOPM approach using a crowdsourcing example and realize a prototype system to support the execution of a business process modeling by BOOPM ap
SHRIK
发表于 2025-3-30 22:16:29
Accelerating Training for Distributed Deep Neural Networks in MapReduce cloud resources as a web service. We also address the concern of data transmission by proposing a distributed DNN scheduler to accelerate the training time. The scheduler makes use of minimum cost flows algorithm to assign GPU resources, which considers data locality and synchronization into minimi
incision
发表于 2025-3-31 03:45:41
Large-Scale QoS-Aware Service Composition Integrating Chained Dynamic Programming and Hybrid Pruningts show that the proposed method outperforms the state-of-the-art approach by generating solutions containing fewer services for the optimal QoS with higher efficiency and better generalization on large-scale datasets.
FLIRT
发表于 2025-3-31 05:28:20
Supervised Web Service Composition Integrating Multi-objective QoS Optimization and Service Quantity services without considering the QoS. Finally, a supervised multi-objective optimization is performed based on the above single-objective optimization results. Experimental results on both Web Service Challenge 2009’s datasets and substantial datasets randomly generated show that the proposed servi
abnegate
发表于 2025-3-31 10:56:26
Modeling Time-Critical Processes with WED-Flowled with WED-flow into colored Petri net structures. We also show how to describe the temporal behavior of time-critical processes with time Petri nets. Therefore, we become able to reason about the functional (e.g., decide whether a certain state is definitely reached) and temporal (e.g., decide wh
屈尊
发表于 2025-3-31 14:12:33
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MOTIF
发表于 2025-3-31 21:17:55
TProv: Towards a Trusted Provenance-Aware Service Based on Trusted Computing the trustworthiness of provenance information, thus TProv decreases the overhead of the huge size of provenance information and the cost of operating trusted hardware, e.g. Trusted Platform Module. The experimental results reflect TProv’s effectiveness and efficiency.
CHIDE
发表于 2025-3-31 22:12:52
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