Results 41 to 50 of about 6,213 (191)

Model-Driven Autoscaling for Hadoop Clusters [PDF]

open access: yes2015 IEEE International Conference on Autonomic Computing, 2015
In this paper, we present the design and implementation of a model-driven auto scaling solution for Hadoop clusters. We first develop novel performance models for Hadoop workloads that relate job completion times to various workload and system parameters such as input size and resource allocation.
Anshul Gandhi   +3 more
openaire   +1 more source

Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study

open access: yesInternational Journal of Information Management Data Insights, 2023
The emergence of Multiplayer Mobile Gaming (MMG) applications is intertwined with a plethora of Quality of Service and Quality of Experience requirements.
Theodoros Theodoropoulos   +7 more
doaj   +1 more source

Self-adaptive trade-off decision making for autoscaling cloud-based services [PDF]

open access: yes, 2015
Elasticity in the cloud is often achieved by on-demand autoscaling. In such context, the goal is to optimize the Quality of Service (QoS) and cost objectives for the cloud-based services. However, the difficulty lies in the facts that these objectives, e.
Bahsoon, R, Chen, T
core   +3 more sources

B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core

open access: yesIEEE Access, 2021
In order to maintain a satisfactory performance in the midst of rapid growth of mobile traffic, the mobile network infrastructure needs to be scaled. Thus there has been significant interest in scalability of mobile core networks and a variety of scaling
Yahuza Bello   +6 more
doaj   +1 more source

Automated Network Service Scaling in NFV: Concepts, Mechanisms and Scaling Workflow [PDF]

open access: yes, 2018
Next-generation systems are anticipated to be digital platforms supporting innovative services with rapidly changing traffic patterns. To cope with this dynamicity in a cost-efficient manner, operators need advanced service management capabilities such ...
Adamuz-Hinojosa, Oscar   +5 more
core   +3 more sources

Dynamic Autoscaling and Scheduling in Kubernetes Clusters with LSTM and ILP

open access: yesJournal of Communications Software and Systems
Containerized applications provide benefits such as portability, security, and faster deployment, enabling organizations to adapt swiftly to dynamic business needs.
Somashekar Patil   +2 more
doaj   +1 more source

Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing

open access: yes, 2017
Mobile edge computing (a.k.a. fog computing) has recently emerged to enable in-situ processing of delay-sensitive applications at the edge of mobile networks.
Chen, Lixing, Ren, Shaolei, Xu, Jie
core   +1 more source

Scalability in Microservices: A systematic literature review

open access: yesJournal of Computer Science and Technology
The scalability of microservices architectures is crucial for modern software systems, yet it presents significant challenges due to their inherent complexities.
Nishal Gurung   +2 more
doaj   +1 more source

Autoscaling Pods on an On-Premise Kubernetes Infrastructure QoS-Aware

open access: yesIEEE Access, 2022
Cloud systems and microservices are becoming powerful tools for businesses. The evidence of the advantages of offering infrastructure, hardware or software as a service (IaaS, PaaS, SaaS) is overwhelming.
Lluis Mas Ruiz   +4 more
doaj   +1 more source

Damage diagnosis for offshore fixed wind turbines [PDF]

open access: yes, 2019
This paper proposes a damage diagnosis strategy to detect and classify different type of damages in a laboratory offshore-fixed wind turbine model. The proposed method combines an accelerometer sensor network attached to the structure with a conceived ...
Agis Cherta, David   +2 more
core   +1 more source

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