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GA-based QOS-aware workflow scheduling of deadline tasks in grid computing
Grid computing is the aggregation of the power of heterogeneous, geographically distributed computing resources to provide high-performance...
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Enhance QoS with fog computing based on sigmoid NN clustering and entropy-based scheduling
The exponential expansion in the number of smart devices in the burgeoning Internet of Things (IoT) is driving the growing demand for effective...
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A task clustering based QoS aware scheduling algorithm for task execution in cloud-Iot model for education services
Some of the conventional approaches to task scheduling are discussed in this section. The scheduling of tasks in the Internet of Things (IoT)...
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QoS and reliability aware matched bald eagle task scheduling framework based on IoT-cloud in educational applications
Cloud computing is a popular paradigm that enables on-demand access to shared resources over the internet. Task scheduling is an important aspect of...
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An overview of QoS-aware load balancing techniques in SDN-based IoT networks
Increasing and heterogeneous service demands have led to traffic increase, and load imbalance challenges among network entities in the Internet of...
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QoS Accurate Matching Algorithm Based on Service Resource Scheduling on Cloud Platform and Its Application
Using Quality of Service (QoS) as the standard for resource scheduling is a common method for service resource scheduling on cloud platforms....
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Apriori Algorithm Based Approach for Improving QoS and SLA Guarantee in IaaS Clouds Using Pattern-Based Service-Oriented Architecture
Cloud computing is a modern computing technology. The integration of fog computing, edge computing, mist computing, IoT, 5G, etc. with cloud...
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Dynamic performance modeling framework for QoS-aware 5G-based IoT-edge systems
The development of fifth-generation (5G) mobile networks, which enable new levels of near real-time automation of remote Internet of Things (IoT)...
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A quantum inspired hybrid SSA–GWO algorithm for SLA based task scheduling to improve QoS parameter in cloud computing
Software as a service (SaaS) provider hires resources from an Infrastructure as a Service (IaaS) provider and provides these sharable resources to...
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An Energy-Efficient and QoS-Preserving Hybrid Cross-Layer Protocol Design for Deep Learning-Based Air Quality Monitoring and Prediction
Cross-layer design countenances protocols belonging to diverse layers to collaborate and share network status information which ensures that...
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CSADE: a delay-sensitive scheduling method based on task admission and delay evaluation on edge–cloud collaboration
Compared with cloud computing, edge–cloud collaboration can avoid long transmitting delay to cloud since tasks are close to edge, which makes...
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CASA: cost-effective EV charging scheduling based on deep reinforcement learning
With the widespread adoption of electric vehicles (EVs), the demand for public charging services is steadily increasing. Consequently, the...
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Task scheduling for improved response time of latency sensitive applications in fog integrated cloud environment
Fog integrated Cloud Computing is a distributed computing paradigm where near-user end devices known as fog nodes cooperate with cloud resources...
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A heuristic multi-objective task scheduling framework for container-based clouds via actor-critic reinforcement learning
Container-based cloud technology has changed the delivery mode of traditional applications and brought a breakthrough development to the field of...
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A multi-objective QoS-aware IoT service placement mechanism using Teaching Learning-Based Optimization in the fog computing environment
The huge amount and diversity of data generated by Internet of Things (IoT) devices and the need to store and process this data led to the...
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A hybrid teaching-learning-based optimization algorithm for QoS-aware manufacturing cloud service composition
Quality of service (QoS)-aware manufacturing cloud service composition (QoS-MCSC) is one of the key issues in Cloud manufacturing (CMfg). More and...
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An optimistic approach for task scheduling in cloud computing
Cloud computing is gaining popularity around the globe over the last decade due to offering various types of services to end-users. Virtual machines...
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The effect of QoS and QoE requirements for designing task processing controller based on fuzzy logic on IoT environments
The usage of Internet of Things (IoT) has introduced genuine concerns regarding resource and its Quality of Service (QoS) and Quality of Experience...
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Container-based task scheduling in cloud-edge collaborative environment using priority-aware greedy strategy
Container virtualization technology represented by Docker has been widely used in the industry due to its advantages of lightweight, fast deployment,...
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A QoS-Aware IoT Service Placement Mechanism in Fog Computing Based on Open-Source Development Model
With rapid developments of the Internet of Things (IoT) applications in recent years, their use to facilitate day-to-day activities in various...