Springer eBooks, Journal Year: 2022, Volume and Issue: unknown, P. 107 - 132
Published: Sept. 22, 2022
Language: Английский
International Journal of Current Science Research and Review, Journal Year: 2024, Volume and Issue: 07(01)
Published: Jan. 11, 2024
This research study explores the challenges and solutions related to serverless computing so that computer systems connected network can be protected. Serverless defined as a method of managing services without need have fixed servers. The qualitative is used by this study, which does not include any numerical data involves examination non-number security identified in detail. In literature review, past studies from 2019 2023 are reviewed identify gaps foundation for investigating security. review based on thematic analysis, all organized into meaningful themes. findings like privacy, insecure dependencies limited control. strategies overcome these encryption, strong monitoring other relevant strategies. also suggests use blockchain technology Artificial Intelligence. short, provides insights improve guides future researchers innovate creative developing challenges.
Language: Английский
Citations
11
Procedia Computer Science, Journal Year: 2025, Volume and Issue: 256, P. 602 - 609
Published: Jan. 1, 2025
Language: Английский
Citations
0
Published: Feb. 18, 2024
As most of the Internet Things (IoT) applications are event-driven, emergence serverless computing paradigm, which is a natural fit for event-driven applications, promising to host multi-tenant IoT applications. Furthermore, increasing resource capability low-cost edge and fog devices provides an opportunity take advantage resources available leads edge-fog-cloud continuum, can conduct processing across entire continuum. To identify necessary adaptations we integrate paradigm in each layer continuum investigate performance parameters by running workloads using benchmarks.
Language: Английский
Citations
3
Published: Jan. 11, 2024
This research study explores the challenges and solutions related to serverless computing so that computer systems connected network can be protected. Serverless defined as a method of managing services without need have fixed servers. The qualitative is used by this study, which does not include any numerical data involves examination non-number security identified in detail. In literature review, past studies from 2019 2023 are reviewed identify gaps foundation for investigating security. review based on thematic analysis, all organized into meaningful themes. findings like privacy, insecure dependencies limited control. strategies overcome these encryption, strong monitoring other relevant strategies. also suggests use blockchain technology Artificial Intelligence. short, provides insights improve guides future researchers innovate creative developing challenges.
Language: Английский
Citations
2
Published: July 1, 2023
Serverless computing offers opportunities for auto-scaling, a pay-for-use cost model, quicker deployment and faster updates to support services. Apache OpenWhisk is one such open-source, distributed serverless platform that can be used execute user functions in stateless manner. We conduct performance analysis of on an edge-cloud continuum, using function chain video applications. consider combination Raspberry Pi cloud nodes deploy OpenWhisk, modifying number parameters, as maximum memory limit runtime, investigate application behaviours. The five main factors considered are: cold warm activation, input size, CPU architecture, runtime packages used, concurrent invocations. results have been evaluated initialization, execution time, minimum requirement, inference time accuracy.
Language: Английский
Citations
6
Algorithms, Journal Year: 2024, Volume and Issue: 17(8), P. 320 - 320
Published: July 23, 2024
Edge computing is one of the technological areas currently considered among most promising for implementation many types applications. In particular, IoT-type applications can benefit from reduced latency and better data protection. However, price typically to be paid in order offered opportunities includes need use a amount resources compared traditional cloud environment. Indeed, it may happen that only node used. these situations, essential introduce memory resource management techniques allow optimized while still guaranteeing acceptable performance, terms probability rejection. For this reason, serverless technologies, managed by reinforcement learning algorithms, an active area research. paper, we explore compare performance some machine algorithms managing horizontal function autoscaling edge system. make open deployed Kubernetes cluster, experimentally fine-tune algorithms. The results obtained both understanding basic mechanisms typical systems related technologies determine system guiding configuration choices operation.
Language: Английский
Citations
1
Applied Sciences, Journal Year: 2024, Volume and Issue: 14(24), P. 11474 - 11474
Published: Dec. 10, 2024
Image classification usually requires connectivity and access to the cloud, which is often limited in many parts of world, including hard-to-reach rural areas. Tiny machine learning (tinyML) aims solve this problem by hosting artificial intelligence (AI) assistants on constrained devices, eliminating issues processing data within device itself, without Internet or cloud access. This study explores use tinyML provide healthcare support with low-spec devices low-connectivity environments, focusing diagnosis skin diseases ethical AI a setting. To investigate this, images lesions were used train model for classifying visually detectable (VDDs). The weights then offloaded Raspberry Pi webcam attached, be It was found that developed prototype achieved test accuracy 78% when trained HAM10000 dataset, 85% ISIC 2020 Challenge dataset.
Language: Английский
Citations
1
Sensors, Journal Year: 2023, Volume and Issue: 23(8), P. 3845 - 3845
Published: April 9, 2023
Currently, in many data landscapes, the information is distributed across various sources and presented diverse formats. This fragmentation can pose a significant challenge to efficient application of analytical methods. In this sense, mining mainly based on clustering or classification techniques, which are easier implement environments. However, solution some problems usage mathematical equations stochastic models, more difficult Usually, these types need centralize required information, then modelling technique applied. environments, centralization may cause an overloading communication channels due massive transmission also privacy issues when sending sensitive data. To mitigate problem, paper describes general-purpose analytic platform edge computing for networks. Through engine (DAE), calculation process expressions (that requires from sources) decomposed between existing nodes, allows partial results without exchanging original information. way, master node ultimately obtains result expressions. The proposed examined using three different computational intelligence algorithms, i.e., genetic algorithm, algorithm with evolution control, particle swarm optimization, decompose expression be calculated distribute tasks nodes. has been successfully applied case study focused key performance indicators smart grid, achieving reduction number messages by than 91% compared traditional approach.
Language: Английский
Citations
2
Published: July 7, 2024
Language: Английский
Citations
0
Computers, Journal Year: 2024, Volume and Issue: 13(9), P. 224 - 224
Published: Sept. 6, 2024
Serverless computing is a new cloud model suitable for providing services in both large and edge clusters. In clusters, the autoscaling functions play key role on serverless platforms as dynamic scaling of function instances can lead to reduced latency efficient resource usage, typical requirements edge-hosted services. However, badly configured introduce unexpected due so-called “cold start” events or service request losses. this work, we focus optimization resource-based OpenFaaS, most-adopted open-source Kubernetes-based platform, leveraging real-world traffic traces. We resort reinforcement learning algorithm named Proximal Policy Optimization dynamically configure value Kubernetes Horizontal Pod Autoscaler, trained real traffic. This was accomplished via state space able take into account consumption, performance values, time day. addition, reward definition promotes Service-Level Agreement (SLA) compliance. evaluate proposed agent, comparing its terms average latency, CPU memory loss percentage with respect baseline system. The experimental results show benefits provided by obtaining within SLA while limiting consumption loss.
Language: Английский
Citations
0