Results 31 to 40 of about 168,797 (129)

Perspectives On Machine Learning Inference Serving in Real‐World Settings

Software: Practice and Experience, Volume 56, Issue 6, Page 734-757, June 2026.
ABSTRACT Introduction As machine learning (ML)‐enabled systems become increasingly prevalent across industries, the engineering challenges of deploying and maintaining them in production have emerged as critical. The existing engineering knowledge base often derives from conceptual frameworks or case studies conducted by large technology companies ...
Dennis Muiruri, Lucy Ellen Lwakatare, Jukka K. Nurminen, Tommi Mikkonen   +3 more
wiley   +1 more source

Proactive-Reactive Global Scaling, with Analytics [PDF]

, 2022
International audienceIn this work, we focus on by-design global scaling, a technique that, given a functional specification of a microservice architecture, orchestrates the scaling of all its components, avoiding cascading slowdowns typical of ...
Saverio Giallorenzo, Bravetti, Mario, Zingaro, Stefano Pio, Lorenzo Bacchiani, Giallorenzo, Saverio, Bacchiani, Lorenzo, Mario Bravetti, Maurizio Gabbrielli, Stefano Pio Zingaro, Zavattaro, Gianluigi, Gianluigi Zavattaro, Gabbrielli, Maurizio   +11 more
core   +1 more source

ILP Optimized LSTM-based Autoscaling and Scheduling of Containers in Edge-cloud Environment

Journal of Telecommunications and Information Technology
Edge computing is a decentralized computing paradigm that brings computation and data storage closer to data sources, enabling faster processing and reduced latency.
Shivan Singh, Narayan D.G., Sadaf Mujawar, G.S. Hanchinamani, P.S. Hiremath   +4 more
doaj   +1 more source

Burst-aware predictive autoscaling for containerized microservices [PDF]

, 2022
Autoscaling methods are used for cloud-hosted applications to dynamically scale the allocated resources for guaranteeing Quality-of-Service (QoS). The public-facing application serves dynamic workloads, which contain bursts and pose challenges for ...
Iqbal, Waheed, Carrera Pérez, David, Abdullah, Muhammad, Polo Bardés, Jorda, Berral García, Josep Lluís   +4 more
core   +1 more source

An LSTM‐Based Resource Prediction Model in Google Cloud Data Center

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
The increasing complexity and dynamic nature of workloads in cloud computing are characterized by various patterns with time‐dependent features. Such variations pose considerable challenges on Cloud Service Providers (CSPs) incurred by the fluctuation of resource demands along with their impact on quality of service (QoS) optimization.
Eman Alshboul, Husam Suleiman, Mohammad Alshboul, Said El Kafhali   +3 more
wiley   +1 more source

A Fiber Bragg Grating‐Based Condition Monitoring and Early Damage Detection System for the Structural Safety of Underground Coal Mines Using the Internet of Things

Journal of Sensors, Volume 2018, Issue 1, 2018., 2018
Accurate sensing is the key to structural health monitoring of underground coal mines while using fiber Bragg grating (FBG) sensors. However, the previously developed systems for structural monitoring of underground mines have been limited to monitoring without any capability of damage detection.
Byung Wan Jo, Rana Muhammad Asad Khan, Yun Sung Lee, Jun Ho Jo, Nadia Saleem, Mosbeh Kaloop   +5 more
wiley   +1 more source

A Comprehensive Survey on LLM‐Based Network Management and Operations

International Journal of Network Management, Volume 35, Issue 6, November/December 2025.
ABSTRACT The growing demands for network capacity and the increasing complexities of modern network environments pose significant challenges for effective network management and operations. In response, network operators and administrators are moving beyond traditional manual and rule‐based methods, adopting advanced artificial intelligence (AI)‐driven
Jibum Hong, Nguyen Van Tu, James Won‐Ki Hong   +2 more
wiley   +1 more source

Future work selves : how salient hoped-for identities motivate proactive career behaviors [PDF]

, 2012
The term future work self refers to an individual's representation of himself or herself in the future that reflects his or her hopes and aspirations in relation to work.
Griffin, Mark A., Mark A. Griffin, Karoline Strauss, Sharon K. Parker, Parker, Sharon, Strauss, Karoline   +5 more
core   +1 more source

IoT and Man‐in‐the‐Middle Attacks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT This article provides an overview of the Internet of things (IoT) and its growing significance in today's interconnected world. It discusses the concept of man‐in‐the‐middle (MitM) attacks in detail, including their various types, causes, and potential impacts on IoT networks.
Hamidreza Fereidouni, Olga Fadeitcheva, Mehdi Zalai   +2 more
wiley   +1 more source

MagicScaler: Uncertainty-Aware, Predictive Autoscaling [PDF]

, 2023
Predictive autoscaling is a key enabler for optimizing cloud resource allocation in Alibaba Cloud’s computing platforms, which dynamically adjust the Elastic Compute Service (ECS) instances based on predicted user demands to ensure Quality of Service ...
Yingying Zhang, Chenjuan Guo, Wang, Yihang, Dou, Yunliang, Zhicheng Pan, Zhou, Aoying, Zhang, Yingying, Peng Chen, Cheng, Yunyao; id_orcid, Guo, Chenjuan, Zhiqiang Zhou, Tian, Xiduo, Zhou, Zhiqiang, Yunyao Cheng, Qingsong Wen, Xiduo Tian, Aoying Zhou, Bin Yang, Sean Bin Yang, Yunliang Dou, Wen, Qingsong, Yang, Sean Bin; id_orcid, Yang, Bin; id_orcid, Chen, Peng, Chengcheng Yang, Yang, Chengcheng, Pan, Zhicheng, Yihang Wang   +27 more
core   +1 more source