Abstract: Complex big data processing applications are growing. They are workflows of decoupled analytical processes now. Stream workflow applications integrate multiple streaming big data applications for decision-making. Each analytical component of these applications continuously processes…
Abstract: For timely business requests, business cloud workflows often have multiple time constraints. Runtime monitoring and verification of workflow temporal conformance state ensures on-time workflow completion. Due to low runtime efficiency, temporal logic or timed…
Abstract: SAR can map paddy rice crops in Southern Vietnam’s Mekong Delta due to rice’s strong temporal backscatter signature. Due to the complex land-use/land-cover in the Red River Delta, SAR rice mapping is difficult. Hydrological…
Abstract: Multi-UAV systems can monitor environmental and disaster conditions, patrol borders, and rescue people. Edge computing scenarios will favor multi-UAV applications. Multi-UAV systems must be energy efficient due to UAVs’ limited energy supplies and growing…
Abstract: Reliability needed Cloud-based workflow execution requires assurance. The state-of-the-art enough replication for redundancy minimization (ERRM) and quantitative fault-tolerance with minimum execution cost + (QFEC+) algorithms reduce redundancy and cost for workflows with reliability requirements….
Abstract: Mobile edge computing (MEC) is a promising method for resource-constrained mobile devices to offload tasks to nearby edge clouds. Most works only consider whether or where to offload the task, ignoring edge clouds’ motivations…
Abstract: With the development of Mobile Healthcare Monitoring Network (MHMN), patients can use body sensor data to monitor their health or pre-diagnose online, and clinicians can use data mining to make the right decisions. Sensitive…
Abstract: Hardware heterogeneity, resource contention among co-located VMs, and virtualization overhead cause virtual machines (VMs) to perform differently over time. Performance variation makes learning workload-specific resource provisioning policies to automatically scale cloud-hosted applications to maintain…
Abstract: Cloud users must monitor software running on containers and virtual machines (VMs) to ensure compliance, security, and efficiency in today’s rapidly evolving cloud landscape that embraces continuous integration and delivery. Traditional solutions use manually-created…
Abstract: Attribute-based keyword search (ABKS) can provide search services and fine-grained access control over ciphertext in cloud computing. Two issues prevent ABKS development and use. First, most ABKS schemes have a built-in keyword guessing attack…
Abstract: Since similar users use similar services, a latent factor (LF)-based QoS predictor needs neighborhood regularization. Neighborhood information is used in neighborhood-regularized LF models. The former has low prediction accuracy due to the difficulty of…
Abstract: We use a weighted graph Laplacian matrix to oversample signals. Due to spectral folding caused by downsampling graph signals, critically sampled graph filter banks must decompose the graph into bipartite subgraphs and transform each…
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