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…
Abstract: Slow tasks in Spark computing environments extend stage execution time. Spark uses speculative execution to solve the straggler problem by launching extra backup for the straggler to finish early. The Spark original and improved…
Abstract: Cloud computing and big data are used most to meet user functional requirements. Big data analysis, conversion, extraction, and refinement can prevent disease and predict group behavior. Big data includes users’ private data. Service…
Abstract: Modular inversion is a frequent and time-consuming operation in cryptography and algorithmic number theory. Since modular inversion requires many operations on large numbers, resource-constrained clients like mobile devices and IC cards cannot directly perform…
Abstract: First evaluated for multi-level cell memory applications were amorphous indium-gallium-zinc oxide (a-IGZO) thin-film transistor nonvolatile memory devices with an IGZO charge storage layer. The original state (OS) of the pristine device can be switched…
Abstract: Network Function Virtualization (NFV) is a promising networking technology for heterogeneous and complex network services. NFV separates network functions from hardware. Telecom providers place VNFs on software-based middleboxes in the NFV architecture. Traffic follows…
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