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Data fusion and network intrusion detection systems Cluster Comput. (IF 4.4) Pub Date : 2024-03-26 Rasheed Ahmad, Izzat Alsmadi
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A reliable method for data aggregation on the industrial internet of things using a hybrid optimization algorithm and density correlation degree Cluster Comput. (IF 4.4) Pub Date : 2024-03-26
Abstract The Internet of Things (IoT) is a new information technology sector in which each device may receive and distribute data across a network. Industrial IoT (IIoT) and related areas, such as Industrial Wireless Networks (IWNs), big data, and cloud computing, have made significant strides recently. Using IIoT requires a reliable and effective data collection system, such as a spanning tree. Many
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Power-aware QoS-centric strategy for ultra reliable low latency communication in 5G beyond wireless networks Cluster Comput. (IF 4.4) Pub Date : 2024-03-25 Biroju Papachary, Rajeev Arya, Bhasker Dappuri
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A-TSPD: autonomous-two stage algorithm for robust peak detection in online time series Cluster Comput. (IF 4.4) Pub Date : 2024-03-25 Aditi Gupta, Sukanya Gupta, Adeiza J. Onumanyi, Satyadev Ahlawat, Yamuna Prasad, Virendra Singh
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Formulating a quality model for cloud-native software architectures: conceptual and methodological considerations Cluster Comput. (IF 4.4) Pub Date : 2024-03-25 Robin Lichtenthäler, Guido Wirtz
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Quantum software engineering and quantum software development lifecycle: a survey Cluster Comput. (IF 4.4) Pub Date : 2024-03-25 Kanishk Dwivedi, Majid Haghparast, Tommi Mikkonen
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A mobility-aware task scheduling by hybrid PSO and GA for mobile edge computing Cluster Comput. (IF 4.4) Pub Date : 2024-03-25
Abstract Mobile edge computing (MEC) is considered one of the key technologies for large-scale network services. Task scheduling helps to improve the task completion rate of MEC, by properly mapping tasks generated by devices onto MEC resources. However, the mobility of devices introduces complexities, potentially resulting in failed task offloading or unavailable task results. To tackle this issue
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A service mesh approach to integrate processing patterns into microservices applications Cluster Comput. (IF 4.4) Pub Date : 2024-03-23
Abstract Cloud is the new enabler of data processing, archiving and analyzing, wherein offered services are built with flexible and low-coupling schemes following a microservice architecture, which is commonly managed by service mesh managers. Microservice architecture allows designers to build microservice systems based on design patterns. However, current service mesh managers are based only on pipeline
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GHA-Inst: a real-time instance segmentation model utilizing YOLO detection framework Cluster Comput. (IF 4.4) Pub Date : 2024-03-23
Abstract The real-time instance segmentation task based on deep learning aims to accurately identify and distinguish all instance objects from images or videos. However, due to the existence of problems such as mutual occlusion between instances, limitations in model receptive fields, etc., achieving accurate and real-time segmentation continues to pose a formidable challenge. To alleviate the aforementioned
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A secure paillier cryptosystem based privacy-preserving data aggregation and query processing models for smart grid Cluster Comput. (IF 4.4) Pub Date : 2024-03-23 Jatinder Kumar, Ashutosh Kumar Singh
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A real-time stable competitive auction-based task offloading market for heterogeneous mobile cloud (HMC) Cluster Comput. (IF 4.4) Pub Date : 2024-03-22 Keyvan Ahani, Sepideh Adabi, Parvaneh Asghari
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Maintaining the completion-time mechanism for Greening tasks scheduling on DVFS-enabled computing platforms Cluster Comput. (IF 4.4) Pub Date : 2024-03-22 Tarek Hagras, Gamal A. El-Sayed
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An energy-aware module placement strategy in fog-based healthcare monitoring systems Cluster Comput. (IF 4.4) Pub Date : 2024-03-22 Hadeer S. Hossam, Hala Abdel-Galil, Mohamed Belal
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Malicious detection model with artificial neural network in IoT-based smart farming security Cluster Comput. (IF 4.4) Pub Date : 2024-03-22
Abstract The Internet of Things (IoT) tunes modern technologies, including wireless sensors and cloud computing, to create a homogeneous and highly effective environment. Therefore, IoT has emerged in various fields of life, such as healthcare, industry, and agriculture. Agriculture is among the primary components of developing nations’ financial states and is vital in maintaining human life. However
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Blockchain technology for society 4.0: a comprehensive review of key applications, requirement analysis, research trends, challenges and future avenues Cluster Comput. (IF 4.4) Pub Date : 2024-03-21
Abstract Society 4.0 brings new information technology to mass audience accompanied by economic and social developments in the 21st century. The enablers of Society 4.0 such as Blockchain, Artificial Intelligence (AI), and the Internet of Things (IoT) significantly influence current human activities with more efficient information management. Blockchain technology takes a step forward towards innovation
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CyberDefender: an integrated intelligent defense framework for digital-twin-based industrial cyber-physical systems Cluster Comput. (IF 4.4) Pub Date : 2024-03-20 S. Krishnaveni, Thomas M. Chen, Mithileysh Sathiyanarayanan, B. Amutha
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A new energy-aware technique to improve the network lifetime of wireless Internet of Things using a most valuable player algorithm Cluster Comput. (IF 4.4) Pub Date : 2024-03-18 Yongjun Xiao, Daria K. Voronkova
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A balanced leader election algorithm based on replica distribution in Kubernetes cluster Cluster Comput. (IF 4.4) Pub Date : 2024-03-17
Abstract Kubernetes is a well-known open source project that provides a powerful orchestration platform for containerized applications. To ensure high scalability and availability of services, redundant deployment is usually adopted in Kubernetes clusters, creating multiple replicas for each application. Each replica of a stateful application needs to persistently store data and use a leader-based
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Reliability through an optimal SDS controller’s placement in a SDDC and smart city Cluster Comput. (IF 4.4) Pub Date : 2024-03-17 Yawar Abbas Bangash, Waseem Iqbal, Shynar Mussiraliyeva, Saddaf Rubab, Bilal Rauf
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An industrial network intrusion detection algorithm based on IGWO-GRU Cluster Comput. (IF 4.4) Pub Date : 2024-03-16
Abstract The openness and interconnectedness of industrial control systems (ICSs) is increasing, leading to a heightened risk of network-based attacks. Although research on industrial intrusion detection is ongoing, current methods often overlook the unique characteristics of industrial control flows. This study introduced an industrial network intrusion detection algorithm based on the improved gray
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A novel strategy for deterministic workflow scheduling with load balancing using modified min-min heuristic in cloud computing environment Cluster Comput. (IF 4.4) Pub Date : 2024-03-15 Anjali Choudhary, Ranjit Rajak
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EPVM: efficient and publicly verifiable computation for matrix multiplication with privacy preservation Cluster Comput. (IF 4.4) Pub Date : 2024-03-15 Chang Xu, Hongzhou Rao, Liehuang Zhu, Chuan Zhang, Kashif Sharif
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A dynamic and optimized routing approach for VANET communication in smart cities to secure intelligent transportation system via a chaotic multi-verse optimization algorithm Cluster Comput. (IF 4.4) Pub Date : 2024-03-15 Sumit, Rajender Singh Chhillar, Sandeep Dalal, Surjeet Dalal, Umesh Kumar Lilhore, Sarita Samiya
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The integration strategy of information system based on artificial intelligence big data technology in metaverse environment Cluster Comput. (IF 4.4) Pub Date : 2024-03-15 Yechuan Lin, Shixing Liu
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Multi-strategy boosted Aquila optimizer for function optimization and engineering design problems Cluster Comput. (IF 4.4) Pub Date : 2024-03-14
Abstract As the complexity of optimization problems continues to rise, the demand for high-performance algorithms becomes increasingly urgent. This paper addresses the challenges faced by the Aquila Optimizer (AO), a novel swarm-based intelligent optimizer simulating the predatory behaviors of Aquila in North America. While AO has shown good performance in prior studies, it grapples with issues such
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A hyperledger fabric-based EMR sharing mechanisms with proxy re-encryption and IPFS Cluster Comput. (IF 4.4) Pub Date : 2024-03-13 Der-Chen Huang, Ling-Chun Liu, Yong-Yuan Deng, Chin-Ling Chen, Kuang-Wei Zeng
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Big dermatological data service for precise and immediate diagnosis by utilizing pre-trained learning models Cluster Comput. (IF 4.4) Pub Date : 2024-03-12 Mohammed Elbes, Shadi AlZu’bi, Tarek Kanan, Ala Mughaid, Samia Abushanab
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Decentralized multiple hypothesis testing in Cognitive IOT using massive heterogeneous data Cluster Comput. (IF 4.4) Pub Date : 2024-03-11 Vidyapati Jha, Priyanka Tripathi
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Network states-aware collective communication optimization Cluster Comput. (IF 4.4) Pub Date : 2024-03-10 Jingyuan Wang, Tianhai Zhao, Yunlan Wang
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An improved cellular goore game-based consensus protocol for blockchain Cluster Comput. (IF 4.4) Pub Date : 2024-03-10 Reyhaneh Ameri, Mohammad Reza Meybodi
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FBDD: feature-based drift detector for batch processing data Cluster Comput. (IF 4.4) Pub Date : 2024-03-08
Abstract The concept and data drift problems have received much attention in recent years. This aspect is crucial in many domains exhibiting non-stationary and cyclical patterns affecting their generative processes. Drift detection can be treated as a supervised task, with labeled data constantly used to validate the learned model. From a practical point of view, this is an impractical task because
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Big-IDS: a decentralized multi agent reinforcement learning approach for distributed intrusion detection in big data networks Cluster Comput. (IF 4.4) Pub Date : 2024-03-08 Faten Louati, Farah Barika Ktata, Ikram Amous
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A coupled generative graph convolution network by capturing dynamic relationship of regional flow for traffic prediction Cluster Comput. (IF 4.4) Pub Date : 2024-03-07
Abstract Traffic flow prediction plays a critical role in urban traffic management and planning. Accurate prediction of traffic flow can enhance traffic efficiency, improve traffic safety, conserve traffic resources, and promote sustainable urban development. Graph convolutional networks (GCN) have great potential in traffic flow prediction due to their ability to handle complex data with topological
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MSCA-UNet: multi-scale channel attention-based UNet for segmentation of medical ultrasound images Cluster Comput. (IF 4.4) Pub Date : 2024-03-07
Abstract Since deep learning is introduced to medical image segmentation, UNet and its variants have been extensively applied in medical image analysis. This paper proposes a multi-scale channel attention UNet (MSCA-UNet) to raise the accuracy of the segmentation in medical ultrasound images. Specifically, a multi-scale module is constructed to connect and to enhance the feature maps with different
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Hyperbolic Sine Optimizer: a new metaheuristic algorithm for high performance computing to address computationally intensive tasks Cluster Comput. (IF 4.4) Pub Date : 2024-03-07 Shivankur Thapliyal, Narender Kumar
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Multi-level spatial-temporal fusion neural network for traffic flow prediction Cluster Comput. (IF 4.4) Pub Date : 2024-03-06
Abstract In urban system management and public safety, accurate traffic flow forecasting is pivotal for real-world applications such as traffic control, resource-sharing scheduling platforms, and intelligent transportation systems. The challenge lies in effectively capturing complex spatio-temporal correlations. To address this, we introduce ST-DSTN, a novel spatial-temporal fusion attention-based
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A trusted computing framework for cloud data security using role-based access and pattern recognition Cluster Comput. (IF 4.4) Pub Date : 2024-03-05 Gyanapriya Pradhan, Madhukrishna Priyadarsini
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A blockchain-based framework for Academic Bank of Credit with transparent credit mobility Cluster Comput. (IF 4.4) Pub Date : 2024-03-05
Abstract Blockchain technology offers features of immutability, decentralization, transparency, and fault tolerance which hold great potential for transforming the traditional educational credit management processes. This paper presents a framework for implementing the Academic Bank of Credit using blockchain for transparent student mobility within or between HEIs through a structured credit recognition
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K-LionER: meta-heuristic approach for energy efficient cluster based routing for WSN-assisted IoT networks Cluster Comput. (IF 4.4) Pub Date : 2024-03-05 Rekha, Ritu Garg
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A multi-mechanism balanced advanced learning sparrow search algorithm for UAV path planning Cluster Comput. (IF 4.4) Pub Date : 2024-03-05
Abstract Unmanned aerial vehicle (UAV) is highly flexible and versatile, ranging from monitoring and surveying to rescue and military applications, but finding the best path requires a large amount of computing resources. Through intelligent path planning algorithms, UAV can find the best path according to task requirements and environmental conditions, avoid obstacles, and bypass dangerous areas,
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UGV-awareness task placement in edge-cloud based urban intelligent video systems Cluster Comput. (IF 4.4) Pub Date : 2024-03-04
Abstract With the development of Mobile Edge Computing, driverless, 5 G, and related techniques, Edge-Cloud based Urban Intelligent Video Systems are extremely promising to support public safety through powerful analysis and timely response. Furtherly, flexible Unmanned Ground Vehicles(UGVs), which are equipped with edge devices, can enhance these edge systems to withstand these abnormalities: natural
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MLANet: multi-level attention network with multi-scale feature fusion for crowd counting Cluster Comput. (IF 4.4) Pub Date : 2024-03-04 Liyan Xiong, Yijuan Zeng, Xiaohui Huang, Zhida Li, Peng Huang
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Dataflow-based automatic parallelization of MATLAB/Simulink models for fitting modern multicore architectures Cluster Comput. (IF 4.4) Pub Date : 2024-03-04 Kaouther Gasmi, Salam Hasnaoui
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An arithmetic and geometric mean-based multi-objective moth-flame optimization algorithm Cluster Comput. (IF 4.4) Pub Date : 2024-03-04 Saroj Kumar Sahoo, Apu Kumar Saha, Essam H. Houssein, M. Premkumar, Salpa Reang, Marwa M. Emam
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Improved sparrow algorithm based virtual machine placement Cluster Comput. (IF 4.4) Pub Date : 2024-03-03 Qianye Ren, Bin Zhuge, Zitian Zhang, Ligang Dong, Xian Jiang
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Improving the quality of real-time data transmission service in VANETS by balancing the load on road side units Cluster Comput. (IF 4.4) Pub Date : 2024-03-02 Behzad Saemi, Fatemeh Halataei, Rouhollah Ahmadi, Ali Ashkaran, SeyedSaeid Mirkamali, Ali Asghar Rahmani Hosseinabadi
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Enhanced pelican optimization algorithm with ensemble-based anomaly detection in industrial internet of things environment Cluster Comput. (IF 4.4) Pub Date : 2024-03-02 Nenavath Chander, Mummadi Upendra Kumar
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A privacy-preserving federated learning framework for blockchain networks Cluster Comput. (IF 4.4) Pub Date : 2024-03-02 Youssif Abuzied, Mohamed Ghanem, Fadi Dawoud, Habiba Gamal, Eslam Soliman, Hossam Sharara, Tamer ElBatt
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Duck swarm algorithm: theory, numerical optimization, and applications Cluster Comput. (IF 4.4) Pub Date : 2024-03-01 Mengjian Zhang, Guihua Wen
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PerMl-Fed: enabling personalized multi-level federated learning within heterogenous IoT environments for activity recognition Cluster Comput. (IF 4.4) Pub Date : 2024-03-01
Abstract Federated Learning (FL) has emerged as a promising approach to addressing issues related to centralized machine learning such as data privacy, security and access. Nevertheless, it also brings new challenges incurred by heterogeneity among data statistical levels, devices and models in the context of multi-level federated learning (MlFed) architecture. In this paper, we conceive a new Personalized
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MDepthNet based phishing attack detection using integrated deep learning methodologies for cyber security enhancement Cluster Comput. (IF 4.4) Pub Date : 2024-02-29 Anil Kumar Yamarthy, Ch Koteswararao
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SDDA-IoT: storm-based distributed detection approach for IoT network traffic-based DDoS attacks Cluster Comput. (IF 4.4) Pub Date : 2024-02-29 Praveen Shukla, C. Rama Krishna, Nilesh Vishwasrao Patil
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Iot interoperability framework for smart home: MDA-inspired approach Cluster Comput. (IF 4.4) Pub Date : 2024-02-28 Renu Sharma, Anil Sharma
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EMR sharing system with lightweight searchable encryption and rights management Cluster Comput. (IF 4.4) Pub Date : 2024-02-28 Haotian Luo, Niansong Mei, Chong Du
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Video quality adaptation using CNN and RNN models for cost-effective and scalable video streaming Services Cluster Comput. (IF 4.4) Pub Date : 2024-02-28
Abstract Video streaming services require adaptive bit rate strategies that optimize video quality based on network conditions and user preferences to provide a cost-effective and scalable solution. In this manuscript, we present a novel architecture that utilizes a combination of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to extract features from the video stream and
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Improving resource utilization and fault tolerance in large simulations via actors Cluster Comput. (IF 4.4) Pub Date : 2024-02-28 Kyle Klenk, Raymond J. Spiteri
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A distributed intelligence framework for enhancing resilience and data privacy in dynamic cyber-physical systems Cluster Comput. (IF 4.4) Pub Date : 2024-02-27 Nabila Azeri, Ouided Hioual, Ouassila Hioual
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Enhancement in performance of cloud computing task scheduling using optimization strategies Cluster Comput. (IF 4.4) Pub Date : 2024-02-27
Abstract Providing scalable and affordable computing resources has become possible thanks to the development of the cloud computing concept. In cloud environments, efficient task scheduling is essential for maximizing resource usage and enhancing the overall performance of cloud services. This research offers a more effective method for using optimization techniques to improve the efficiency of cloud
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An integration of meta-heuristic approach utilizing kernel principal component analysis for multimodal medical image registration Cluster Comput. (IF 4.4) Pub Date : 2024-02-26
Abstract Medical image registration is vital for precise healthcare diagnosis, treatment planning, and disease progression tracking, but traditional methods fail to capture complex spatial transformations and anatomical variations. A Kernel Principal Component Analysis (KPCA) driven Teaching Learning based optimization (TLBO) approach is proposed to overcome these limitations. The proposed approach
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AFL-HCS: asynchronous federated learning based on heterogeneous edge client selection Cluster Comput. (IF 4.4) Pub Date : 2024-02-26 Bing Tang, Yuqiang Xiao, Li Zhang, Buqing Cao, Mingdong Tang, Qing Yang