Results 21 to 30 of about 168,797 (129)

Function delivery network: Extending serverless computing for heterogeneous platforms

Software: Practice and Experience, Volume 51, Issue 9, Page 1936-1963, September 2021., 2021
Summary Serverless computing has rapidly grown following the launch of Amazon's Lambda platform. Function‐as‐a‐Service (FaaS) a key enabler of serverless computing allows an application to be decomposed into simple, standalone functions that are executed on a FaaS platform.
Anshul Jindal, Michael Gerndt, Mohak Chadha, Vladimir Podolskiy, Pengfei Chen   +4 more
wiley   +1 more source

Remote and Rural Connectivity: Infrastructure and Resource Sharing Principles

Wireless Communications and Mobile Computing, Volume 2021, Issue 1, 2021., 2021
As mobile networks (MNs) are advancing towards meeting mobile user requirements, the rural‐urban divide still remains a major challenge. While areas within the urban space (metropolitan mobile space) are being developed, i.e., small Base Stations (BSs) empowered with computing capabilities are deployed to improve the delivery of user requirements ...
Thembelihle Dlamini, Sifiso Vilakati, Issa Elfergani   +2 more
wiley   +1 more source

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   +5 more
core   +1 more source

AI-Driven Predictive Autoscaling in Kubernetes : Reinforcement Learning for Proactive Resource Optimization in Cloud-Native Environments

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2022
We propose a reinforcement learning-based autoscaling algorithm integrated with Karpenter on AWS EKS. Unlike threshold-based scaling, our method anticipates workload surges by analyzing historical patterns using predictive analytics, thereby reducing cloud spend and improving service availability. Simulations and real deployment benchmarks from Rialtic
Chinnam, Shiva Kumar, Karanam, Ravindra
openaire   +1 more source

A proactive autoscaling and energy-efficient VM allocation framework using online multi-resource neural network for cloud data center

Neurocomputing, 2021
This work proposes an energy-efficient resource provisioning and allocation framework to meet the dynamic demands of future applications. The frequent variations in a cloud user's resource demand lead 'to the problem of excess power consumption, resource wastage, performance, and Quality-of-Service degradation.
Deepika Saxena, Ashutosh Kumar Singh 0001   +1 more
openaire   +4 more sources

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

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

Enhancing Cloud Efficiency using Intelligent Autoscaling Algorithms [PDF]

, 2023
Cloud computing has revolutionized the way data and applications are managed, offering scalable, flexible, and cost-effective solutions. A critical aspect of cloud computing is autoscaling, the ability to dynamically adjust computing resources to match ...
Rahane, Pushkar Deodatta
core   +2 more sources

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