cloud computing ieee paper 2021




Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. The term is generally used to describe data centers available to many users over the Internet

Cloud computing is the delivery of different services through the Internet. These resources include tools and applications like data storage, servers, databases, networking, and software

cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale

three main service models of cloud computing – Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS

A Systematic Literature Review on Cloud Computing Security: Threats and Mitigation Strategies
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Cloud computing has become a widely exploited research area in academia and industry. Cloud computing benefits both cloud services providers (CSPs) and consumers. The security challenges associated with cloud computing have been widely studied in the

A Load Balancing Algorithm for the Data Centres to Optimize Cloud Computing Applications
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Despite the many past research conducted in the Cloud Computing field, some challenges still exist related to workload balancing in cloudbased applications and specifically in the Infrastructure as service (IaaS) cloud model. Efficient allocation of tasks is a crucial process In the traditional cloudbased Internet of Vehicles (IoV) architecture, it is difficult to guarantee the low latency requirements of the current intelligent transportation system (ITS). As a supplement to cloud computing fog computing can effectively alleviate the bottlenecks of

Enhancing security of health information using modular encryption standard in mobile cloud computing
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Despite the numerous and noticeable inherited gains of Mobile Cloud Computing (MCC) in healthcare, its growth is being hindered by privacy and security challenges. Such issues require the utmost urgent attention to realize its full scale and efficient usage. There is a

A Thing-Edge- Cloud Collaborative Computing Decision-Making Method for Personalized Customization Production
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With the development of Industry 4.0 and cloud computing technology, personalized customization as a new production mode is showing a trend of rapid development. Personalized customization has the characteristics of order-driven production, strict

Performance Evaluation of Containerization in Edge- Cloud Computing Stacks for Industrial Applications: A Client Perspective
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Today, the edge- cloud computing paradigm starts to gain increasing popularity, aiming to enable short latency, fast decision-making and intelligence at the network edge, especially for industrial applications. The container-based virtualization technology has been put onCloud deployment architectures have become a preferable computation model of Big Data (BD) operations. Their scalability, flexibility, and cost-effectiveness motivated this trend. In a such deployment model, the data are no longer physically maintained under the users direct

Stability-Based Controller Design of Cloud Control System With Uncertainties
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ABSTRACT A cloud control system (CCS) is inherently uncertain due to the dynamic services and resources in cloud computing INDEX TERMS Cloud control system (CCS), cloud computing cloud controller, uncertainty analysis, linear matrix inequality (LMI)

A Surveillance Video Real-time Analysis System Based on Edge- cloud and FL-YOLO Cooperation in Coal Mine
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However, the currently intelligent video surveillance is difficult to respond in real-time due to the latency of cloud computing . In this paper, a cloudedge cooperation framework is proposed, which integrates cloud computing and edge computing in a coordinated manner

Artificial Intelligence and Internet of Things Enabled Disease Diagnosis Model for Smart Healthcare Systems
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ABSTRACT The recent advancements in Internet of Things (IoT), cloud computing and Artificial Intel- ligence (AI) transformed the conventional healthcare system into smart healthcare. By incorporating key technologies such as IoT and AI, medical services can be improved Hybrid renewable energy (HRE) models are those that have two or more renewable sources connected together with some conventional sources to serve the demand load. The objective of this article is to present a cloudbased HRE model in which a Legendre wavelet

Mobility Aware Blockchain Enabled Offloading and Scheduling in Vehicular Fog Cloud Computing
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The development of vehicular Internet of Things (IoT) applications, such as E-Transport, Augmented Reality, and Virtual Reality are growing progressively. The mobility aware services and network-based security are fundamental requirements of these applications

An Energy-Aware Combinatorial Virtual Machine Allocation and Placement Model for Green Cloud Computing
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Resource allocation is an important problem for cloud environments. This paper introduces an energy-aware combinatorial auction-based model for the resource allocation problem in clouds. The proposed model allows users of a cloud to submit their virtual resource requests

Task Duplication-Based Scheduling Algorithm for Budget-Constrained Workflows in Cloud Computing
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Workflow scheduling is crucial to the efficient operation of cloud platforms, and has attracted a lot of attention. Up to now, many algorithms have been reported to schedule workflows with budget constraints, so as to optimize workflows makespan on cloud resources

Empirical Evaluation of a Method for Monitoring Cloud Services Based on Models at Runtime
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ABSTRACT Cloud computing is being adopted by commercial and governmental organizations driven by the need to reduce the operational cost of their information technology resources and search for a scalable and flexible way to provide and release their software services

An edge traffic flow detection scheme based on deep learning in an intelligent transportation system
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The traffic flow detection in an ITS usually adopts the cloud computing mode. The edge of the network will transmit all the captured video to the cloud computing center. However, the increasing traffic monitoring has brought

A Reliable Data Compression Scheme in Sensor- Cloud Systems Based on Edge Computing
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The rapid development of the IoT and cloud computing has spawned a new network structure sensor- cloud system (SCS) where sensors, sensor networks, and cloud computing are integrated to perform data sensing, collection, transmission, and decision

Recurrent Neural Networks Based Online Behavioural Malware Detection Techniques for Cloud Infrastructure
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These features have helped forging cloud computing into a standard for both private and public sectors. As such, many organizations are utilizing the cloud Section II, dis- cusses other related works regarding RNNs, malware detec- tion, and cloud computing

Vertically integrated computing labs using open-source hardware generators and cloudhosted FPGAs
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The design of computing systems has changed dramatically over the past decade, but most courses in advanced computer architecture remain unchanged. Computer architecture education lies at the intersection between computer science and electrical engineering, with With cloud services, data users can retrieve encrypted data while preserving data confidentiality. However, this new paradigm suffers from many security concerns. A major concern is how to avoid insider Keyword-Guessing Attacks (KGA), which implies that the

An Effective Multi-Agent Ant Colony Optimization Algorithm for QoS-Aware Cloud Service Composition
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ABSTRACT Recently, service composition has gained increased attention as an auspicious paradigm to opti- mize the data accessibility, integrity, and interoperability of cloud computing Ser- vice composition for cloud computing was first applied in [15]Mobile cloud computing (MCC) as an emerging computing paradigm enables mobile devices to offload their computation tasks to nearby resource-rich cloudlets so as to augment computation capability and reduce energy consumption of mobile devices. However, due to With the development of big data and artificial intelligence, more and more colleges establish new courses about related domains. Innovation experiments and entrepreneurial practices for college students also require more computing and storage resources in

3D Analytical Modelling and Iterative Solution for High Performance Computing Clusters
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Mobile Cloud Computing enables the migration of services to the edge of Internet. Therefore, high performance computing clusters are widely deployed to improve computational capabilities of such environments. However, they are prone to failures and Low earth orbit (LEO) satellite networks can break through geographical restrictions and achieve global wireless coverage, which is an indispensable choice for future mobile communication systems. In this paper, we present a hybrid cloud and edge computing LEO Integrity Checking for Aggregate Queries. Abstract: With the advent of cloud computing and Internet of Things and delegation of data collection and aggregation to third parties, the results of the computations should be verified. In distributed models, there are multiple sources

Quantum PUF for Security and Trust in Quantum Computing
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In future, cloudbased quantum computing is expected to be offered by both trusted and less-trusted cloud vendors (that are located in less-trusted countries, for example). Performing reliable/trustworthy computing using these Index Terms Computation offloading, Cloud computing Cloudlet computing Dynamic mobile cloudlet, Cluster formation, Communication tasks. I. I The devices that are unable to complete computing tasks locally, offload their computing task to the cloud Fog computing is a simple cloud at the network edge that is used to process the jobs in a short period of time instead of sending them to cloud computing fa- cilities It pro- vides storage, computation, and networking services between IoV sensors and cloud computing However, due to the local computational resource limit, other resources such as cloud computing resources are needed to process these computing tasks. Generally, users initiate service requests to the IoT platform according to Cloud Computing Services Task Offloading

Joint power and QoE optimization scheme for multi-UAV assisted offloading in mobile computing
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user equipments (UEs) for their flexible mobility. UEs can offload computingintensive task to mobile cloud computing (MCC) or mobile edge computing (MEC) for fast processing. However, with multi-UAV and ground mobile The renewable power has been widely used in modern cloud data centers, which also produce large electricity bills and the negative impacts on environments. However, frequent fluctuation and intermittency of renewable power often cause the challenges in terms of the

Improving IoT services using a hybrid fog- cloud offloading
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load. INDEX TERMS Internet of Things, cloud computing fog computing task offloading, Q-learning. I 15]. From another side, cloud computing has gotten more atten- tion to perform high-complex jobs in different areas. There

Development of a Model and Algorithms for Servicing Traffic in a Cloud Computing System
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There is a serious variance in the requirements for the provided resource in cloud systems. Also its needed to quickly process incoming requests and maintain the proper level of quality of service. All these factors cause difficulties for cloud providers. The proposed

A survey on mobile augmented reality with 5G mobile edge computing : Architectures, applications and technical aspects
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Index Terms 5G, Multi-Access Edge Computing (MEC), Cloud Mobile Augmented Reality (MAR), Augmented Real- ity (AR), Network Architecture Therefore, it is preferable to offload rendering to powerful computing platforms such as the cloud Mobile devices need to directly interact with the cloud causing both parties bear huge computing and communication costs Meanwhile, the introduction of edge computing (EC) significantly reduces the communication consumption between the device and the cloud

Multi-Channel Blockchain Scheme for Internet of Vehicles
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It combines cloud computing edge com- puting and IoV to establish a fully connected transportation system with real-time efficient communication, monitoring and control . Current ITS applications utilize cloud computing technol- ogy and distributed communications among

CloudNative Network Slicing Using Software Defined Networking Based Multi-Access Edge Computing : A Survey
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Fifth-Generation (5G) mobile cellular networks provide a promising platform for new, innovative and diverse IoT applications, such as ultra-reliable and low latency communication, real-time and dynamic data processing, intensive computation, and massive

Bulk Electric Power System Risks From Coordinated Edge Devices
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Cloud computing resources are able to coordinate large amounts of behind-the-meter loads and resources. Inadvertent or malicious actions could potentially result in gigawatts of load, distributed across large regions, acting nearly simultaneously

Light-Edge: A Lightweight Authentication Protocol for IoT Devices in an Edge- Cloud Environment
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Authentication of the IoT devices plays a critical role in the success of the integration of IoT, edge, and cloud computing technologies To handle this, there should be enhanced technologies such as edge/ cloud computing to manage the storing and computation issues Mobile edge computing is a new computing paradigm that performs computing on the edge of a network. Services be unavailable or do not satisfy the needs of users due to changing edge environments. Quality of service (QoS) is commonly employed as a critical

Federated learning meets blockchain in edge computing : Opportunities and challenges
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Contracts Cloud computing server 1: The transaction process on blockchain with cloud computing : (1) A user sends a transaction to smart contracts to request data, (2) A new block is created to represent the verified transaction, (3) A mined block is appended to the blockchain

Collaborative Edge Computing for Smart Villages [Energy and Security]
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COLLABORATIVE EDGE COMPUTING While looking closely into the computing infra- structure, it can be observed that computations are done either in the core computing infrastruc- ture (ie, cloud computing ) or in the network edges (ie, edge computing )The computing continuum extends the high-performance cloud data centers with energy- efficient and low-latency devices close to the data sources located at the edge of the network. However, the heterogeneity of the computing continuum raises multiple challenges Network storage services have benefited countless users worldwide due to the notable features of convenience, economy and high availability. Since a single service provider is not always reliable enough, more complex multi- cloud storage systems are developed for Cloud computing can host workstations or supercomputers and provide large data storage. Therefore, the computation and storage of a huge volume of data can be done in cloud computing A communal tactic is to leverage edge and cloud computing Abstract In recent years, edge computing has emerged as an effective solution to extend cloud computing and satisfy the demand of applications for low latency The traditional cloud computing paradigm along with the limited Internet

ASML: Algorithm-Agnostic Architecture for Scalable Machine Learning
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Many of these frameworks are supported by tech industry leaders, such as Google, Facebook and Microsoft, which usually provide deep learning Platforms as a Service (PaaS) or Software as a Service (SaaS) on their Cloud Computing infrastructures, specialized in executing

Cloudlet Computing : Recent Advances, Taxonomy, and Challenges
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INDEX TERMS Cloud computing edge computing cloudlets, Internet of Things, computation offloading, smart city, smart health. I. INTRODUCTION Cloud computing offers resource-rich, flexible, scalable, and cost-effective solutions to users across the globe with a deep recurrent neural network (DRNN) and edge computing for 5G-enabled drone identifica- tion and flight mode detection. In the proposed framework, raw RF signals of different drones under several flight modes are remotely sensed and collected on a cloud server to Although these ABE constructions outsource the decryption to the cloud or the fog, all outsourcing decryptions adopt serial computing references K. Ren, C. Wang, and Q. Wang, Security Challenges for the Public Cloud IEEE Internet Computing vol. 1 no. 201 pp solution to the I-MEDA problem. Game theory has been widely used in the field of mobile cloud computing [15], [16], [17], [18]. It is a powerful tool for designing decentralized mecha- nisms [19]. I-MEDAGame eases the burden

The sky is the edge Toward mobile coverage from the sky
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National University, Busan, South Korea. His research interests include network optimization, mobile edge/ cloud computing and resource allocation for 5G wireless networks and beyond. Contact him at vietpq@pusan.ac.kr

Research on Adaptive Relationship between Trust and Privacy in Cloud Service
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I. INTRODUCTION The convenience and economy of cloud computing services are very popular in the current network services Therefore, it is necessary to put forward a new approach to study the access control of cloud computing services under dynamic trust privacy

Delay-aware and energy-efficient computation offloading in mobile edge computing using deep reinforcement learning
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As a potential solution, mobile edge computing (MEC) deploys cloud resources in the proximity of IoT devices so that their requests can be better served locally Firstly, compared with cloud computing MEC is usually with less capacity

Machine Learning for Cloud Security: A Systematic Review
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ABSTRACT The popularity and usage of Cloud computing is increasing rapidly II. LITERATURE REVIEW A. CLOUD COMPUTING SECURITY In this section, we discuss the security and privacy issues that currently exist in Cloud computing 60 0890-8044/21/$25.00 IEEE AbstrAct Recently, edge computing has attracted sig- nificant interest due to its ability to extend cloud computing utilities and services to the network edge with low response times and communica- tion costs

BPT Scheme: Establishing Trusted Vehicular Fog Computing Service for Rural Area Based on Blockchain Approach
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computing services. Liu et al. present a method to extend cloud computing service by utilizing edge computing resources in several crowded areas, such as the railway stations, shopping malls, and airports. They encourage edge , . By offloading the tasks from the end devices to the edge servers, the users could receive edge services with better QoS (eg, lower latency and higher precision) than that in the cloud computing mode and meanwhile save the stringent resources at end devicesAbstract- In the information age with the rapid development of big data, cloud computing artificial intelligence and other technologies, various financial management information systems have been widely used. However, certain limitations are also exposed

IoT and Fog Computing based Predictive Maintenance Model for Effective Asset Management in Industry 4.0 using Machine Learning
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Fog computing as an expansion of cloud computing to the edge of system networking consists of cloud and edge resources that reduces the latency and network congestion Fog computing layer creates communication between edge devices and the cloud datacentre [15] Index Terms Space-air-ground integrated networks (SAGIN), Internet of vehicles (IoV), resource scheduling, edge computing cloud computing Therefore, it makes sense to consider collaboration between edge computing and cloud computing

Decentralized SDN Control Plane for a Distributed CloudEdge Infrastructure: A Survey
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The approach in which this survey is interested is called SDN-based cloud computing [28]. As such, SDN-based cloud computing has been applied to implement specific applications at a cloudscale, such as load balancing [29], [30] or pol- icy enforcement [31] functionalities Abstract Fog computing has set standards in networking and overcome complexities in cloud computing . However, despite its many benefits, the inherent distributed model of fog computing architecture introduces a new attack surface cyber-attacksIndex Terms Multi-Access Edge Computing (MEC), Security, Privacy, Internet of Things (IoT), 5G, Cloud Computing Future Networks I. INTRODUCTION 3 Cloud Computing Drawbacks Latency Jitter Locational Unawareness Insecure Data Outsourcing Cloud computing was proposed as a powerful technology to enable low latency requirements and optimized resource consumption by offering many advantages such as high availability, scalability and reduced costs . However, to meet the latency requirement in tasks

Performance Evaluation of an Internet of Healthcare Things for Medical Monitoring Using M/M/c/K Queuing Models
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Cloud platforms are examples of common comput- ing resources in this context , . Cloud computing be used to store and analyze health data, enabling automated decision making regarding interventions. HoweverIf there is no edge computing facility, this huge volume of data needs to be transmitted to the cloud for distributed computing The system has three main components: data collection, edge computing and core cloud computing

RT-TelSurg: Real Time Telesurgery Using SDN, Fog, and Cloud as Infrastructures
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Fog/edge computing is a new technology considered as a platform at the edge of the network, providing computing storage, and networking services between smart objects and traditional cloud computing data centers with salient charac- teristics of low delay, real time

Joint Resource Allocation Based on Traffic Flow Virtualization for Edge Computing
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INDEX TERMS Cloud computing edge computing fog computing heuristic algorithm, Internet of Things, network architecture, network management, software defined networking. I. INTRODUCTION Edge computing is a new