Results 41 to 50 of about 6,213 (191)
Model-Driven Autoscaling for Hadoop Clusters [PDF]
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
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]
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
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]
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
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
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
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
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]
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

