Results 31 to 40 of about 181,670 (124)

PAX: Partition-Aware Autoscaling for the Cassandra NoSQL Database [PDF]

, 2017
Apache Cassandra has emerged as one of the most widely adopted NoSQL databases. However, there is still a limited understanding on how to optimally operate Cassandra in the cloud using autoscaling methods, by which resources can be scaled up or down to ...
Casale, G, Rajkumar Buyya, Buyya, R, Giuliano Casale, Salvatore Dipietro, Dipietro, S   +5 more
core   +1 more source

HGT-Autoscaler: Dependency-Aware Proactive Scaling of Microservices Using Heterogeneous Graph Transformers

IEEE Access
Autoscaling of microservice applications in containerized cloud environments remains a challenging problem due to complex inter-service dependencies, hierarchical deployment structures, and highly dynamic workloads.
Maxim Filippov, Manuel Mazzara
doaj   +1 more source

Proactive and Reactive Autoscaling Techniques for Edge Computing

CoRR
Edge computing allows for the decentralization of computing resources. This decentralization is achieved through implementing microservice architectures, which require low latencies to meet stringent service level agreements (SLA) such as performance, reliability, and availability metrics.
Suhrid Gupta, Muhammed Tawfiqul Islam, Rajkumar Buyya   +2 more
openaire   +2 more sources

Making things happen : a model of proactive motivation [PDF]

, 2010
Being proactive is about making things happen, anticipating and preventing problems, and seizing opportunities. It involves self-initiated efforts to bring about change in the work environment and/or oneself to achieve a different future.
Uta K. Bindl, Bindl, U. K., Parker, S. K., Sharon K. Parker, Karoline Strauss, Strauss, Karoline, Strauss, K., Bindl, Uta   +7 more
core   +1 more source

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

Experimentally Evaluating the Resource Efficiency of Big Data Autoscaling [PDF]

Distributed dataflow systems like Spark and Flink enable data-parallel processing of large datasets on clusters. Yet, selecting appropriate computational resources for dataflow jobs is often challenging.
Thamsen, Lauritz, Kao, Odej, Will, Jonathan, Treide, Nico   +3 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

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