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Journal of Cloud Computing: Advances, Systems and Applications
Scopus
ISSN 2192-113X · SpringerOpen · 856 artikel di indeks
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Artikel Jurnal
Kubernetes-aware load balancing for leaf-spine EVPN data centers
Abstract Data centers and Kubernetes are fundamental to modern cloud computing, both relying on effective load balancing for optimal performance. Kubernetes services distribute workloads across nodes and pods, while data center networks using leaf-spine topologies distribute traffic across multiple…
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Artikel Jurnal
A framework based on edge computing and identity replacement for the protection of user information service privacy
Abstract With the rapid development of new network technologies, such as cloud computing, server-side trustworthiness has diminished, and user privacy issues have emerged as a major obstacle to the further advancement of modern information services. In this paper, we propose an edge computing…
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Artikel Jurnal
Edge computing-enabled scalable health training log analysis with locality-sensitive hashing for similarity search
Abstract Modern health analytics increasingly relies on large volumes of high-dimensional training logs, collected from various wearable devices, sensor-equipped gym equipment, and mobile fitness applications. While these data streams offer unprecedented opportunities for competitive training…
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Artikel Jurnal
Energy-efficient user allocation and cache updating in mobile edge computing networks based on user geographical aggregation
Abstract As a robust platform for mobile edge computing, Fifth Generations (5 G) networks, while delivering high data rates and low latency, face a pressing concern with the escalating energy consumption of 5 G Base Stations (BSs). To address the energy efficiency challenges, inspired by the…
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Artikel Jurnal
Luminous defense: XAI-driven adaptive security for critical IoT infrastructures
Abstract Since many IoT devices are now in critical infrastructures, it has become harder to manage cybersecurity due to the IDS’ lack of scalability, clarity and adaptability in limited-resource places. It describes an intrusion detection framework that connects curriculum learning with…
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Artikel Jurnal
Dynamic task assignment for edge computing-enabled vehicular mobile crowdsensing
Abstract Vehicular mobile crowdsensing (VMCS) has emerged as powerful and promising paradigm for mobile crowdsensing (MCS) by deploying sensing devices on connected vehicles to collect perception data. Task assignment plays a crucial role in determining the efficiency and performance of in VMCS…
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Artikel Jurnal
GuardChain: multi-stage trust framework for FL-empowered AIGC
Abstract ChatGPT’s growth highlights the importance of Large Language Models (LLMs) in AI innovation, driving a surge in AI-generated content (AIGC). Federated Learning (FL), valued for privacy and cooperation, is drawing interest for using distributed data while ensuring privacy, critical for AI…
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Artikel Jurnal
Multi-stage task allocation strategy for UAV clusterin multi-object tracking
Abstract Multi-unarmed aerial vehicle (UAV) collaborative mission planning is a key technology for the intelligent development of UAV clusters at this stage, where mission assignment under multiple constraints is a core part of UAV mission planning technology. The poor planning ability of an UAV…
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Artikel Jurnal
A lightweight blockchain-enabled federated intrusion prevention framework for resource-constrained industrial IoT devices to detect and mitigate emerging cyberattacks
Abstract The rapid growth of Industrial Internet of Things (IIoT) networks has created new cybersecurity risks that traditional centralized intrusion detection systems can’t handle because they can’t scale up, protect privacy, or work in environments with limited resources. This study introduces a…
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Artikel Jurnal
Matrix protocol: a comprehensive systematic mapping study
Abstract The Matrix protocol is gaining significant traction in the domain of decentralized communication, offering robust features like end-to-end encryption, federated server architecture, and seamless interoperability. As more applications and platforms adopt this protocol, understanding its…
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Artikel Jurnal
WSMS: weakly supervised multi-feature steganalysis with EVT calibration for cloud-edge collaborative intelligence
Abstract The rapid growth of large language models introduces new security risks through steganographic text that closely mimics natural language. To address this challenge in cloud–edge AI ecosystems, we propose WSMS (Weakly Supervised Multi-feature Steganalysis), which integrates statistical…
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Artikel Jurnal
Online machine learning for proactive threat intelligence and timely DDoS attack prediction
Abstract Distributed Denial of Service (DDoS) attacks are rapidly escalating in scale and sophistication, posing critical threats to modern cloud infrastructures. Recent reports from Cloudflare show unprecedented attack volumes, 20·5 M attacks in Q1 2025, and sophisticated patterns such as low-rate…
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Artikel Jurnal
An integrated methodology for intrusion detection and mitigation to optimize cloud security
Abstract The quick adoption of the cloud computing technology has created new security challenges and they require new approaches to security intrusion monitoring and control. This paper will offer a two-layered AI-based security architecture incorporating AI-based Anomaly Detection (AAD) and…
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Artikel Jurnal
Proof of reward (PoR): a light weight consensus protocol for blockchain networks adopted in smart cities
Abstract In recent times, industries are expanding globally to meet the needs of growing population. Government and other regulatory bodies monitor industries to ensure compliance with standards particularly discharges that may pose threat to nearby residents. However, regulatory bodies often…
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Artikel Jurnal
Transient-fault-aware optimal configuration for cloud service providers: a composite queuing modeling approach
Abstract Effective capacity planning in cloud computing must balance profit maximization against the dual uncertainties of internal server faults and external traffic bursts. According to the supply-demand relationship between cloud service providers (CSPs) and customers, satisfying the interests…
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Artikel Jurnal
Hypergraph-based adaptive resource scheduling for fault-resilient multi-tenant cloud allocation
Abstract Multi-tenant cloud computing is crucial for resource sharing and adaptive resource utilization; however, it faces challenges such as fault propagation, resource contention, and workload imbalance. In multi-tenant cloud environments, shared resource dependencies cause cascading failures…
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Artikel Jurnal
Coupling and cohesion-based clustering approach in multi-cloud storage for confidential data using brown bear-red panda optimization
Abstract Cloud computing offers a flexible and cost-effective solution for accessing online services from anywhere at any time. However, data security remains a major concern, particularly because Cloud Service Providers (CSPs) have access to users’ sensitive information. Existing cloud storage…
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Artikel Jurnal
Hybrid deep learning and graph-based intrusion detection for vehicular fog computing networks: leveraging transformers, GNNs, and GANs for enhanced security
Abstract Vehicular Fog Computing Networks (VFCNs) have emerged as a critical component of intelligent transportation systems, enabling latency-sensitive and safety-critical applications such as autonomous driving, real-time traffic management, and vehicle-to-everything communication. However, the…
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Artikel Jurnal
A hybrid evolutionary learning framework for resource optimization in federated learning over heterogeneous 6G IoT networks
Abstract The emergence of sixth-generation (6G) networks and the rapid proliferation of Internet of Things (IoT) devices have introduced significant challenges for federated learning (FL), particularly in achieving energy-efficient resource allocation across heterogeneous wireless environments. To…
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Artikel Jurnal
Asymmetric virtual machine replacement: a multi-objective optimization approach for energy efficiency in cloud data centers
Abstract In cloud data centers, resource overcommitment is a key strategy for improving energy efficiency, yet managing it to prevent Service Level Agreement (SLA) violations remains a persistent challenge. Virtual machine replacement (VMrP)—the periodic redistribution of running VMs across…