A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
A New Temporal Locality-based Workload Prediction Approach for SaaS Services in a Cloud Environment
2021
Journal of King Saud University: Computer and Information Sciences
Preserved Fulltext
Indeed, cloud providers must provide an optimal quality of service (QoS) for their users in order to survive in such a competitive cloud market. ...
In this context, we propose a new approach to predict the number of requests arriving at a SaaS service in order to prepare the virtualized resources necessary to respond to user requests. ...
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ...
doi:10.1016/j.jksuci.2021.04.008
fatcat:b7dnaqo5gfd53cvpo3ay4s5rdy
A Survey on Machine Learning for Geo-Distributed Cloud Data Center Management
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The characterization, prediction, control, and optimization of complex, heterogeneous, and ever-changing distributed cloud resources and workloads employing ML methodologies have received much attention ...
We examine the challenges and the issues in current research focused on ML for cloud management and explore strategies for addressing these issues. ...
For simplification, we dissected this problem into three sub-categories: profiling, parameter prediction, and cloud optimization. ...
arXiv:2205.08072v1
fatcat:nz3vvmdrard6hgydagnsadrnpm
Challenges and Research Directions in Big Data-driven Cloud Adaptivity
2018
Proceedings of the 8th International Conference on Cloud Computing and Services Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We also describe research directions for realising adaptivity in cloud computing and we present a conceptual framework that represents research directions and shows interrelations. ...
We examine new methods for developing cloud systems operating in a real-time, big data environment that can sense the context of the application environment and can adapt the infrastructure accordingly ...
ACKNOWLEDGEMENTS This work is partly funded by the European Commission project H2020 PrestoCloud -Proactive Cloud Resources Management at the Edge for Efficient Real-Time Big Data Processing (732339). ...
doi:10.5220/0006761901900200
dblp:conf/closer/TsagkaropoulosP18
fatcat:5w2kbdda7fdajgn265jzqrfo4y
Challenges And Research Directions In Big Data-Driven Cloud Adaptivity
2018
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We also describe research directions for realising adaptivity in cloud computing and we present a conceptual framework that represents research directions and shows interrelations. ...
We examine new methods for developing cloud systems operating in a real-time, big data environment that can sense the context of the application environment and can adapt the infrastructure accordingly ...
ACKNOWLEDGEMENTS This work is partly funded by the European Commission project H2020 PrestoCloud -Proactive Cloud Resources Management at the Edge for Efficient Real-Time Big Data Processing (732339). ...
doi:10.5281/zenodo.1309530
fatcat:si3drvyewjfmbom5jnpevo3u7y
Cost-Effective Reconfiguration for Multi-Cloud Applications
2018
2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The paper describes experiments in a real cloud testbed that demonstrate that the approach enables multicloud adaptation while increasing the total value of the application for its owner. ...
This paper proposes an approach for adaptive application deployment that explicitly considers adaptation costs and benefits in making deployment decisions. ...
In the first category, the MODAClouds [2] European project proposed an approach for continuously adapting the deployment of multi-cloud applications. ...
doi:10.1109/pdp2018.2018.00088
dblp:conf/pdp/ParlavantzasPSM18
fatcat:zsdo6msqjvfyrcnldyfa5knj6u
Search-based Methods for Multi-Cloud Configuration
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In this work, we consider solutions to this optimization problem. We develop and evaluate possible adaptations of state-of-the-art cloud configuration solutions to the multi-cloud domain. ...
Our experiments indicate that (a) many state-of-the-art cloud configuration solutions can be adapted to multi-cloud, with best results obtained for adaptations which utilize the hierarchical structure ...
As future work, we are planning to perform a similar in-depth study, but for another category of workloads, namely ML inference applications. ...
arXiv:2204.09437v1
fatcat:dxim7sw6ajccvew5uj46a2ndxe
Efficient Resource Management in Cloud Environment
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In cloud computing resource management plays a significant role in data centres and it is directly dependent on the application workload. ...
Various services such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) are offered by cloud computing to provide compute, network, and storage capabilities ...
network connections instead of real-numbered weights.Evolutionary Neural NetworkA workload prediction model suggested by Kumar et al.[29]for cloud environment by applying neural network and self adaptive ...
arXiv:2207.12085v1
fatcat:ic27de5ggrbl5lczt6p6bqyqku
Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Existing mainstream cloud service providers have prevalently adopted container technologies in their distributed system infrastructures for automated application management. ...
Machine learning algorithms are accordingly employed by container orchestration systems for behavior modelling and prediction of multi-dimensional performance metrics. ...
Xu and Buyya [30] survey brownout technologies for adaptive application maintenance in cloud computing systems. Duc et al. ...
arXiv:2106.12739v1
fatcat:bewvimekavduba4ku4stq32sny
Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions
2022
ACM Computing Surveys
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Existing mainstream cloud service providers have prevalently adopted container technologies in their distributed system infrastructures for automated application management. ...
Machine learning algorithms are accordingly employed by container orchestration systems for behavior modelling and prediction of multi-dimensional performance metrics. ...
As diferent cloud service providers may difer in many aspects, such as resource conigurations, price, network latency, and geographic locations, this allows more choices for optimization of application ...
doi:10.1145/3510415
fatcat:ykmi7diulbesfcqqbqlvrn5pcq
Research on Auto-Scaling of Web Applications in Cloud: Survey, Trends and Future Directions
2019
Scalable Computing : Practice and Experience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
However, web applications usually have dynamic workload and hard to predict. Cloud service providers and researchers are working to reduce the cost while maintaining the Quality of Service (QoS). ...
One of the key challenges for web application in cloud computing is auto-scaling. ...
Time series analysis classified in two categories: direct prediction and identification of a pattern in time series. ...
doi:10.12694/scpe.v20i2.1537
fatcat:5zdylggvtjdslichn6mpoleese
Design Support for Performance Aware Dynamic Application (Re-)Distribution in the Cloud
2015
IEEE Transactions on Services Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Database-as-a-service (DBaaS) or Platform-as-a-Service (PaaS), and with them the possibilities in deploying and operating an application partially or completely in the Cloud. ...
The need for providing design support to application developers in this environment is the focus of this work. ...
Furthermore, the analysis and generation of application performance models for application workloads in the Cloud can be used to ease capacity management operations and predict the workload behavior to ...
doi:10.1109/tsc.2014.2381237
fatcat:dotas7ilanf53pgdvex22cpo2i
Towards Energy-aware IaaS-PaaS Co-design
english
2014
Proceedings of the 3rd International Conference on Smart Grids and Green IT Systems
english
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
However, prior studies mostly consider resource-level energy optimizations in IaaS clouds, overlooking the workload-related information locked at higher levels, such as PaaS clouds. ...
In this position paper, we argue that cross-layer cooperation in clouds is a key to achieving an optimized resource management, both performance and energy-wise. ...
When facing longer-duration workload peaks, the IaaS cloud can automatically adapt the pool of available physical machines, by enabling nodes in advance. ...
doi:10.5220/0004961402030208
dblp:conf/smartgreens/Carpen-AmarieDOP14
fatcat:5bxqv2s7xnfzbiwhdzqbgzjwj4
Machine Learning Methods for Reliable Resource Provisioning in Edge-Cloud Computing
2019
ACM Computing Surveys
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The survey is structured around a decomposition of the reliable resource provisioning problem into three categories of techniques: workload characterization and prediction, component placement and system ...
Reliable Resource Provisioning in Edge-Cloud Computing 1:3 studying the impact of Service Level Agreement (SLA) violations, dealing with different Quality of Service (QoS) parameters, and a need for evaluations ...
Liu et al. address the problem by an adaptive workload prediction scheme and an autoscaling framework presented in [61] . ...
doi:10.1145/3341145
fatcat:vkzofhgipfhqtm2z2w5swivksy
Load Balancing Strategy for Hybrid Cloud-based Rendering Service
2014
Elektronika ir Elektrotechnika
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This algorithm is adapted for a rendering service to ensure its Cloud-based delivery. ...
The workload balancing algorithm for Hybrid Cloud is proposed, assuming that a certain part of incoming projects in the workload can be postponed for a short time period. ...
for managing workload execution in Cloud computing. ...
doi:10.5755/j01.eee.20.2.2044
fatcat:sccak2gaercijblsv3asnvwfhy
Efficient Cloud Resource Scaling based on Prediction Approaches
2018
International Journal of Engineering & Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Effective scaling mechanism gives an optimal solutions for computational problems while achieving QoS and avoiding SLA (Service Level Agreement) violations. ...
To enhance resource scaling mechanism in cloud environment, predicting future workload to the each application in different manners like number of physical machines, number of virtual machines, number ...
Apart from these services, delivering services in different categories, such as network, security, API and test environments etc. ...
doi:10.14419/ijet.v7i4.10.21029
fatcat:w7yptqwl5jeanlgg4nfef2hec4
« Previous
Showing results 1 — 15 out of 9,180 results