scholarly journals A Novel Multitask Scheduling and Distributed Collaborative Computing Method of Edge Nodes in the Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Yong Wang ◽  
Siyu Tang ◽  
Xiaorong Zhu ◽  
Yonghua Xie
Keyword(s):  
Internet Of Things ◽  
Scheduling Algorithm ◽  
Multiple Edge ◽  
The Internet ◽  
Collaborative Computing ◽  
Single Edge ◽  
Thread Scheduling ◽  
Processing Delay ◽  
Computing Method ◽  
The Internet Of Things

In this paper, we propose a novel multitask scheduling and distributed collaborative computing method for quality of service (QoS) guaranteed delay-sensitive services in the Internet of Things (IoT). First, we propose a multilevel scheduling framework combining the process and thread scheduling for reducing the processing delay of multitype services of a single edge node in IoT, where a preemptive static priority process scheduling algorithm is adopted for different types of services and a dynamic priority-based thread scheduling algorithm is proposed for the same type of services with high concurrency. Furthermore, for reducing the processing delay of computation-intensive services, we propose a distributed task offloading algorithm based on a multiple 0-1 knapsack model with value limitation with the collaboration of multiple edge nodes to minimize the processing delay. Simulation results show that the proposed method can significantly reduce not only the scheduling delay of a large number of time-sensitive services in single edge node but also the process delay of computation-intensive service collaborated by multiple edge nodes.

scholarly journals Social Networking and Caching Aided Collaborative Computing for the Internet of Things

2018 ◽  
Vol 56 (12) ◽  
pp. 149-155 ◽  
Author(s):  
Yutong Ai ◽  
Li Wang ◽  
Zhu Han ◽  
Ping Zhang ◽  
Lajos Hanzo
Keyword(s):  
Internet Of Things ◽  
Social Networking ◽  
The Internet ◽  
Collaborative Computing ◽  
The Internet Of Things

Enhancement of Energy Efficient Routing Scheduling Algorithm based on SDN Using IoT

2021 ◽  
Vol 8 (1) ◽  
pp. 10-18
Author(s):  
Jayaprakash Mayilsamy ◽  
Devi Priya Rangasamy
Keyword(s):  
Energy Efficiency ◽  
Internet Of Things ◽  
Traffic Management ◽  
Scheduling Algorithm ◽  
Cost Effective ◽  
Path Selection ◽  
The Internet ◽  
Energy Efficient Routing ◽  
Improve Energy Efficiency ◽  
The Internet Of Things

The Internet of Things (IoT) and Software Defined Network (SDN) are two development tools. The administrators organize SDN combined plans and the internet's corporate control by the Internet of Things in decoupling the plane and the flight information. The SDN Providence proposals flexible and programmable IoT in the network. Improvement of energy efficiency in assembly operations in the sequence of legal leadership and command of contract permits for the development of any creative office. Each of the most important processes that enable effective and cost-effective routing is planning and transportation management, including scheduling options. The existing system If Packaging and an optimal network deliver solutions to this problem. In each automatic carrier, there are limitations of breach capacity and time limit. The optimization model first level establishes an IoT Network and verifies the Request and response received the signal. The second step is to identify the effective insertion process and the practical data load balancing method for the two-term operations every process, and third level configures the IoT model. Finally, routing scheduling section included to identify the node features significantly change the reality. The similarities in planning, traffic management, and network planning need implicit. They will reduce cost and improve energy efficiency by eliminating the time to support them. Therefore, alignment, planning, routing and routing path selection in the production process are be mentioned throughout the similarities.

Priority-based Task Pre-processing in IoT Sensory Environments

2019 ◽  
Vol 13 ◽  
Author(s):  
U.N.V.P. Rajendranath ◽  
V. Berlin Hency
Keyword(s):  
Internet Of Things ◽  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Residual Energy ◽  
Sensor Nodes ◽  
Resource Utilisation ◽  
The Internet ◽  
Network Overload ◽  
Task Sets ◽  
The Internet Of Things

Background: The motive of the internet of things (IoT) is to monitor and to control the devices that are connected to the internet. In IoT sensory environments, the application queries for the physical quantities in the spatiotemporal domain. The interaction between the sensors and the applications from the internet is the next big thing in the era of the internet of things. To minimize the resource utilisation, task scheduling mechanisms are implemented to the network. The survey on various patents of task scheduling is revised. Method: The PRITRAPS (Priority-based Task aware Pre-processing and Scheduling) is a mechanism that is employed in real time scenarios of industries. In which different applications units are accessing the gateway unit to measure and monitor the parameters of different service types. PRITRAPS employs priority among the tasks to reduce the network load. Results: The QoS parameters of the system are analysed and compared with the previous methodologies. The PRITRAPS mechanism consists of a task pre-processor unit, Scheduler and EMS module within the gateway unit. The scheduling algorithm employs in PRITRAPS is EDF (Earliest Deadline First) algorithm. The pre-processing task unit decreases the number of tasks by choosing the tasks having similar spatial and temporal requirements. The residual energy of the sensor nodes can help the scheduler for deciding the sensor nodes in respective of task requirements. The scheduler finds the best potential nodes and assigns them to the task for processing. Conclusion: To reduce the tasks arrivals at the wireless sensor unit, a priority based CCTs (Critical Covering Task sets) is proposed, and it effectively reduces the packet congestion and network overload. The results obtained are satisfactory and proven that PRITRAPS outperform TRAPS in energy consumption of a node by processing the tasks on the node. PRITRAPS require only 50% of the time that has been taken by TRAPS for serving the tasks. The PRITRAPS mechanism is implemented in NS3 simulator and tested for different task sets.

scholarly journals Fog Task Scheduling using Clustering based Randomized Round Robin

2021 ◽  
Vol 22 (3) ◽  
pp. 295-302
Author(s):  
Shahid Sultan Hajam ◽  
Shabir Ahmad Sofi
Keyword(s):  
Internet Of Things ◽  
Task Scheduling ◽  
Clustering Algorithm ◽  
Scheduling Algorithm ◽  
Fog Computing ◽  
Round Robin ◽  
The Internet ◽  
Delay Sensitive ◽  
Task Scheduling Algorithm ◽  
The Internet Of Things

Fog computing serves the delay-sensitive applications of the Internet of Things (IoT) in more efficient means than the cloud. The heterogeneity of the tasks and the limited fog resources make task scheduling a complicated job. This paper proposes a clustering based task scheduling algorithm. Specifically, the K-Means++ clustering algorithm is used for clustering the fog nodes. Randomized round robin, a task scheduling algorithm is applied to each cluster. The results show that the proposed algorithm reduces the system's average waiting time.

scholarly journals ANALYSIS OF THE INFLUENCE OF BIOCHEMICAL INDEXES OF ATHLETES UNDER TRAINING BASED ON THE INTERNET OF THINGS AND CLOUD COMPUTING

2021 ◽  
Vol 27 (spe2) ◽  
pp. 27-30
Author(s):  
Weidong Yang ◽  
Huan Huang
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Scheduling Algorithm ◽  
Algorithm Design ◽  
Computing Methods ◽  
The Internet ◽  
Communication Model ◽  
Computing Technology ◽  
Optimal Value ◽  
The Internet Of Things

ABSTRACT For athletes under training, it is more efficient to use the Internet of Things (IoT) and cloud computing methods to collect and process biochemical indicators, and this study is about research based on the IoT and cloud computing technology for athletes under training. The problems are put forward in this study. The requirements of related algorithm design and the communication model properties are comprehensively analyzed. Scheduling the link and allocating the transmit power of the nodes are comprehensively considered, with design and analysis of wireless sensor network scheduling algorithm. The factors influencing the scheduling efficiency of the algorithm are analyzed, considering the node density and the influence of different power allocation schemes on the scheduling result. This study shows that the algorithm of this thesis can collect the biochemical index data of athletes during training period. As the number of nodes increases, the running results will gradually move towards the optimal value. This research study is of important theoretical significance for the application of IoT and cloud computing technology and the improvement of athlete training effect.

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