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Deep Reinforcement Learning techniques for dynamic task offloading in the 5G edge-cloud continuum
The integration of new Internet of Things (IoT) applications and services heavily relies on task offloading to external devices due to the...
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The Dark Side of Recruitment in Crowdsourcing: Ethics and Transparency in Micro-Task Marketplaces
Micro-task crowdsourcing marketplaces like Figure Eight (F8) connect a large pool of workers to employers through a single online platform, by...
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Efficient straggler task management in cloud environment using stochastic gradient descent with momentum learning-driven neural networks
In the modern era, large-scale computing systems distribute tasks into smaller units, allowing them to be executed simultaneously, accelerating job...
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A Novel Encoder and Label Assignment for Instance Segmentation
SparseInst, a recent lightweight instance segmentation network, achieves better balance between efficiency and precision. However, the information...
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Algorithms for tree-shaped task partition and allocation on heterogeneous multiprocessors
Application with a set of dependent distributed tasks is generally regarded as a direct acyclic graph or an out-tree. Tree-shaped task graphs are...
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Deadline-aware and energy efficient IoT task scheduling using fuzzy logic in fog computing
Fog computing is an emerging paradigm that extends cloud computing (CC) by providing computation, communication, and storage services at the edge of...
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Privacy-Preserving Auction for Heterogeneous Task Assignment in Mobile Device Clouds
In the past several decades, despite the continuous improvement of mobile devices, mobile applications requiring resources are still beyond its...
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Genetic-Based Algorithm for Task Scheduling in Fog–Cloud Environment
Over the past few years, there has been a consistent increase in the number of Internet of Things (IoT) devices utilizing Cloud services. However,...
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Task offloading in Internet of Things based on the improved multi-objective aquila optimizer
The Internet of Things (IoT) is a network of tens of billions of physical devices that are all connected to each other. These devices often have...
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Performance research on a task offloading strategy in a two-tier edge structure-based MEC system
With the rapid development for the technology of Mobile edge computing (MEC), tasks tend to be more diversified and personalized, but fewer scholars...
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Task scheduling in cloud environment: optimization, security prioritization and processor selection schemes
Cloud computing is an extremely important infrastructure used to perform tasks over processing units. Despite its numerous benefits, a cloud platform...
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A Tabu Search Matheuristic for the Generalized Quadratic Assignment Problem
This work treats the so-called Generalized Quadratic Assignment Problem. Solution methods are based on heuristic and partially LP-optimizing ideas....
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Unsupervised Dialogue State Tracking for End-to-End Task-Oriented Dialogue with a Multi-Span Prediction Network
This paper focuses on end-to-end task-oriented dialogue systems, which jointly handle dialogue state tracking (DST) and response generation....
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TB-TBP: a task-based adaptive routing algorithm for network-on-chip in heterogenous CPU-GPU architectures
With the rapid development of heterogeneous network-on-chip (NoC), a vast amount of shared resources are integrated into NoC. Intense resource...
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Congestion aware ant colony optimisation algorithm for routing and spectrum assignment in flexi-grid optical burst switching networks
This paper presents an improved distributed ant colony optimisation algorithm for routing and spectrum assignment (RSA) on optical burst switched...
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Heuristic algorithm for task map** problem in a hierarchical wireless network-on-chip architecture
Given the complexity and wide range of applications being developed for the Internet of Things (IoT) requiring an efficient map** of application...
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DRN-VideoSR: a deep recursive network for video super-resolution based on a deformable convolution shared-assignment network
Video super-resolution(videoSR) usually involves several steps: motion estimation, motion compensation, fusion, and upsampling. Here, we propose a...
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Sample greedy based task allocation for multiple robot systems
This paper addresses in-schedule dependent task allocation problems for multi-robot systems. One of the main issues with those problems is the...
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Improving makespan in dynamic task scheduling for cloud robotic systems with time window constraints
A scheduling method in a robotic network cloud system with minimal makespan is beneficial as the system can complete all the tasks assigned to it in...
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Assignment of a Vibration to a Graphical Object Induced by Resonant Frequency
This work aims to provide tactile feedback when touching elements on everyday surfaces using their resonant frequencies. We used a remote speaker to...