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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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Performance-driven scheduling for malleable workloads
The development of adaptive scheduling algorithms that take advantage of malleability has become a crucial area of research in many large-scale...
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Strictly Periodic Scheduling of Cyclo-Static Dataflow Models
This paper considers strictly periodic schedules for Cyclo-Static Dataflow Graphs (CSDFGs) where, for every task, only the start time of the first...
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Electricity-cost-aware multi-workflow scheduling in heterogeneous cloud
Multi-workflows are commonly deployed on cloud platforms to achieve efficient computational power. Diverse task configuration requirements, the...
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A comprehensive survey on scheduling algorithms using fuzzy systems in distributed environments
Task scheduling and resource management are critical for improving system performance and enhancing consumer satisfaction in distributed computing...
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A comprehensive survey on cloud computing scheduling techniques
The tremendous increase in daily internet users leads to the explosion of on-demand requests over the cloud. It causes a burden in the cloud...
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Efficient Prediction of Makespan Matrix Workflow Scheduling Algorithm for Heterogeneous Cloud Environments
Leveraging a cloud computing environment for executing workflow applications offers high flexibility and strong scalability, thereby significantly...
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Deep reinforcement learning-based scheduling in distributed systems: a critical review
Many fields of research use parallelized and distributed computing environments, including astronomy, earth science, and bioinformatics. Due to an...
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Energy-efficient DAG scheduling with DVFS for cloud data centers
With the growth of the cloud computing market, the number and scale of cloud data centers are expanding rapidly. While cloud data centers provide a...
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Enhancement in performance of cloud computing task scheduling using optimization strategies
Providing scalable and affordable computing resources has become possible thanks to the development of the cloud computing concept. In cloud...
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AI-based & heuristic workflow scheduling in cloud and fog computing: a systematic review
Fog and cloud computing are emerging paradigms that enable distributed and scalable data processing and analysis. However, these paradigms also pose...
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MapReduce scheduling algorithms in Hadoop: a systematic study
Hadoop is a framework for storing and processing huge volumes of data on clusters. It uses Hadoop Distributed File System (HDFS) for storing data and...
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A DRL-based online real-time task scheduling method with ISSA strategy
In Industry 4.0, the focus of task scheduling is more on smart services such as robotic services under the paradigm of mobile edge computing, which...
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A survey of Kubernetes scheduling algorithms
As cloud services expand, the need to improve the performance of data center infrastructure becomes more important. High-performance computing,...
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Double deep Q-network-based self-adaptive scheduling approach for smart shop floor
In the field of smart manufacturing, the data-driven scheduling approach has become an effective way to solve the smart shop floor scheduling problem...
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A YARN-based Energy-Aware Scheduling Method for Big Data Applications under Deadline Constraints
Hadoop is a distributed framework for processing big data. One of the critical parts of Hadoop is YARN, which carries out scheduling and resource...
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PCP–ACO: a hybrid deadline-constrained workflow scheduling algorithm for cloud environment
The utilization of cloud computing environments is highly popular for carrying out workflow executions due to its ability to provide clients with...
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Making programmable packet scheduling time-sensitive with a FIFO queue
Time-Sensitive Networking (TSN) is an emerging technology for real-time and non-real-time hybrid networked systems. TSN is standardized by IEEE 802.1...
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Hybridhadoop: CPU-GPU hybrid scheduling in hadoop
As a GPU has become an essential component in high performance computing, it has been attempted by many works to leverage GPU computing in Hadoop....
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Task scheduling using glowworm-based optimal heterogeneous earliest finish time algorithm for mobile grid
Mobile grids include features that support mobile users and mobile resources, including limited energy, unstable network connections, etc. Grid...
