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  • Open Access

    ARTICLE

    Soft Computing Based Metaheuristic Algorithms for Resource Management in Edge Computing Environment

    Nawaf Alhebaishi1, Abdulrhman M. Alshareef1, Tawfiq Hasanin1, Raed Alsini1, Gyanendra Prasad Joshi2, Seongsoo Cho3, Doo Ill Chul4,*

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 5233-5250, 2022, DOI:10.32604/cmc.2022.025596

    Abstract In recent times, internet of things (IoT) applications on the cloud might not be the effective solution for every IoT scenario, particularly for time sensitive applications. A significant alternative to use is edge computing that resolves the problem of requiring high bandwidth by end devices. Edge computing is considered a method of forwarding the processing and communication resources in the cloud towards the edge. One of the considerations of the edge computing environment is resource management that involves resource scheduling, load balancing, task scheduling, and quality of service (QoS) to accomplish improved performance. With this motivation, this paper presents new… More >

  • Open Access

    ARTICLE

    Fuzzy Control Based Resource Scheduling in IoT Edge Computing

    Samah Alhazmi, Kailash Kumar*, Soha Alhelaly

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4855-4870, 2022, DOI:10.32604/cmc.2022.024012

    Abstract Edge Computing is a new technology in Internet of Things (IoT) paradigm that allows sensitive data to be sent to disperse devices quickly and without delay. Edge is identical to Fog, except its positioning in the end devices is much nearer to end-users, making it process and respond to clients in less time. Further, it aids sensor networks, real-time streaming apps, and the IoT, all of which require high-speed and dependable internet access. For such an IoT system, Resource Scheduling Process (RSP) seems to be one of the most important tasks. This paper presents a RSP for Edge Computing (EC).… More >

  • Open Access

    ARTICLE

    Metaheuristic Based Resource Scheduling Technique for Distributed Robotic Control Systems

    P. Anandraj1,*, S. Ramabalan2

    Computer Systems Science and Engineering, Vol.42, No.2, pp. 795-811, 2022, DOI:10.32604/csse.2022.022107

    Abstract The design of controllers for robots is a complex system that is to be dealt with several tasks in real time for enabling the robots to function independently. The distributed robotic control system can be used in real time for resolving various challenges such as localization, motion controlling, mapping, route planning, etc. The distributed robotic control system can manage different kinds of heterogenous devices. Designing a distributed robotic control system is a challenging process as it needs to operate effectually under different hardware configurations and varying computational requirements. For instance, scheduling of resources (such as communication channel, computation unit, robot… More >

  • Open Access

    ARTICLE

    Blockchain Based Secured Load Balanced Task Scheduling Approach for Fitness Service

    Muhammad Ibrahim1, Faisal Jamil2, YunJung Lee1, DoHyeun Kim2,*

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2599-2616, 2022, DOI:10.32604/cmc.2022.019534

    Abstract In recent times, the evolution of blockchain technology has got huge attention from the research community due to its versatile applications and unique security features. The IoT has shown wide adoption in various applications including smart cities, healthcare, trade, business, etc. Among these applications, fitness applications have been widely considered for smart fitness systems. The users of the fitness system are increasing at a high rate thus the gym providers are constantly extending the fitness facilities. Thus, scheduling such a huge number of requests for fitness exercise is a big challenge. Secondly, the user fitness data is critical thus securing… More >

  • Open Access

    ARTICLE

    Scheduling Multi-Mode Resource-Constrained Projects Using Heuristic Rules Under Uncertainty Environment

    Mohamed Abdel-Basset1, Ahmed Sleem1, Asmaa Atef1, Yunyoung Nam2,*, Mohamed Abouhawwash3,4

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 847-874, 2022, DOI:10.32604/cmc.2022.017106

    Abstract Project scheduling is a key objective of many models and is the proposed method for project planning and management. Project scheduling problems depend on precedence relationships and resource constraints, in addition to some other limitations for achieving a subset of goals. Project scheduling problems are dependent on many limitations, including limitations of precedence relationships, resource constraints, and some other limitations for achieving a subset of goals. Deterministic project scheduling models consider all information about the scheduling problem such as activity durations and precedence relationships information resources available and required, which are known and stable during the implementation process. The concept… More >

  • Open Access

    ARTICLE

    An Optimized Resource Scheduling Strategy for Hadoop Speculative Execution Based on Non-cooperative Game Schemes

    Yinghang Jiang1, Qi Liu2,3,*, Williams Dannah1, Dandan Jin2, Xiaodong Liu3, Mingxu Sun4,*

    CMC-Computers, Materials & Continua, Vol.62, No.2, pp. 713-729, 2020, DOI:10.32604/cmc.2020.04604

    Abstract Hadoop is a well-known parallel computing system for distributed computing and large-scale data processes. “Straggling” tasks, however, have a serious impact on task allocation and scheduling in a Hadoop system. Speculative Execution (SE) is an efficient method of processing “Straggling” Tasks by monitoring real-time running status of tasks and then selectively backing up “Stragglers” in another node to increase the chance to complete the entire mission early. Present speculative execution strategies meet challenges on misjudgement of “Straggling” tasks and improper selection of backup nodes, which leads to inefficient implementation of speculative executive processes. This paper has proposed an Optimized Resource… More >

  • Open Access

    ARTICLE

    Dynamic Resource Scheduling in Emergency Environment

    Yuankun Yan1,*, Yan Kong1, Zhangjie Fu1,2

    Journal of Information Hiding and Privacy Protection, Vol.1, No.3, pp. 143-155, 2019, DOI:10.32604/jihpp.2019.07772

    Abstract Nowadays, emergency accidents could happen at any time. The accidents occur unpredictably and the accidents requirements are diversely. The accidents happen in a dynamic environment and the resource should be cooperative to solve the accidents. Most methods are focusing on minimizing the casualties and property losses in a static environment. However, they are lack in considering the dynamic and unpredictable event handling. In this paper, we propose a representative environmental model in representation of emergency and dynamic resource allocation model, and an adaptive mathematical model based on Genetic Algorithm (GA) to generate an optimal set of solution domain. The experimental… More >

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