Results 31 to 40 of about 2,729 (217)

A Simulation-based Comparison between Industrial Autoscaling Solutions and COCOS for Cloud Applications [PDF]

, 2020
Dynamic resource allocation is the mechanism that allows one to change the resources associated with applications at runtime and match their actual needs.
Baresi L., Quattrocchi G.
core   +1 more source

Multi-objective Hybrid Autoscaling of Microservices in Kubernetes Clusters

, 2022
The cloud community has accepted microservices as the dominant architecture for implementing cloud native applications. To efficiently execute microservice-based applications, application owners need to carefully scale the required resources, considering
Angelina Horn, Hamid Mohammadi Fard, Felix Wolf, Fard, Hamid Mohammadi, Wolf, Felix, Horn, Angelina   +5 more
core   +1 more source

Improved Q Network Auto-Scaling in Microservice Architecture

Applied Sciences, 2022
Microservice architecture has emerged as a powerful paradigm for cloud computing due to its high efficiency in infrastructure management as well as its capability of largescale user service.
Yeonggwang Kim, Jaehyung Park, Junchurl Yoon, Jinsul Kim   +3 more
doaj   +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

Business-Aware SLA-Driven Autoscaling for Kubernetes Microservices Using Application-Level Observability

IEEE Access
Autoscaling in Kubernetes is typically driven by infrastructure-level signals such as CPU utilization or external event triggers. While these approaches work well in many cases, they often fail to reflect application-level service pressure and business ...
Pallavi Priya Patharlagadda
doaj   +1 more source

An Experimental Performance Evaluation of Autoscaling Policies for Complex Workflows [PDF]

, 2017
Simplifying the task of resource management and scheduling for customers, while still delivering complex Quality-of-Service (QoS), is key to cloud computing.
Ghit, B.I., Herbst, Nikolas Roman,, Iosoup, Alexandru,, Papadopoulos, Alessandro,, Iosup, A. (author), Dick Epema, Alexandru Iosup, Epema, Dick,, Iosup, Alexandru; id_orcid, Epema, Dick H.J., Ali-Eldin, Ahmed (author), Ghit, B.I. (author), Alexey Ilyushkin, Ilyushkin, Alexey,, Ali-Eldin, Ahmed, Ahmed Ali-Eldin, Epema, D.H.J., Epema, Dick, Bogdan Ghit, Iosup, Alexandru, Nikolas Herbst, Ghit, Bogdan, Herbst, Nikolas (author), Ghit, Bogdan,, Iosup, A., Papadopoulos, Alessandro Vittorio, Ilyushkin, A.S., Papadopoulos, Alessandro, Ali-Eldin, Ahmed,, Ilyushkin, Alexey, Herbst, Nikolas, Epema, D.H.J. (author), Ilyushkin, A.S. (author), Alessandro V. Papadopoulos, Papadopoulos, Alessandro (author)   +34 more
core   +1 more source

Model-Driven Autoscaling for Hadoop Clusters [PDF]

2015 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, Parijat Dube, Andrzej Kochut, Li Zhang 0002   +3 more
openaire   +1 more source

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

International 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, Antonios Makris, Ioannis Kontopoulos, John Violos, Przemysław Tarkowski, Zbyszek Ledwoń, Patrizio Dazzi, Konstantinos Tserpes   +7 more
doaj   +1 more source

Dynamic Autoscaling and Scheduling in Kubernetes Clusters with LSTM and ILP

Journal 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, Narayan D G, Ajeya Bhat   +2 more
doaj   +1 more source

Performance-Cost Trade-Off in Auto-Scaling Mechanisms for Cloud Computing

Sensors, 2022
Cloud computing has been widely adopted over the years by practitioners and companies with a variety of requirements. With a strong economic appeal, cloud computing makes possible the idea of computing as a utility, in which computing resources can be ...
Iure Fé, Rubens Matos, Jamilson Dantas, Carlos Melo, Tuan Anh Nguyen, Dugki Min, Eunmi Choi, Francisco Airton Silva, Paulo Romero Martins Maciel   +8 more
doaj   +1 more source