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Massive parallel business workflows running in the cloud are prone to temporal violations (namely intermediate runtime delays) due to various reasons such as service performance fluctuation and resource conflicts. To deliver satisfactory on-time completion, cloud workflow temporal verification is employed to accurately detect time delays of workflow activities and timely handle temporal violations...
On-time completion is an important QoS (Quality of Service) dimension for business cloud workflow systems. Due to the dynamic and uncertain system performance, failures of on-time completion, namely temporal violations, often take place during workflow runtime and thus temporal verification and temporal violation handling are required. Currently, workflow throughput is employed by temporal verification...
Temporal violations often take place during the running of large batch of parallel business cloud workflow, which have a serious impact on the on-time completion of massive concurrent user requests. Existing studies have shown that local temporal violations (namely the delays of workflow activities) occurring during cloud workflow execution are the fundamental causes for failed on-time completion...
Community Cloud (CC) emerges as a rapid developing paradigm in many fields such as research and education. Business process (BP) that facilitates the organization cooperation and resource sharing plays an important role in CC. The execution efficiency of BP has a pivotal impact on the quality of community cloud services. CC applications often have high demands on BP execution efficiency, which is...
In the interconnection environment, people combine basic services into composite services to provide more complex function for sophisticated applications. Accordingly, service fault localization in composite services becomes a critical issue for guaranteeing the normal running of composite services. This paper proposes a novel Causal Inference based Service Dependency Graph (CISDG) for statistical...
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