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Cloud Monitoring System: Basics, Phases and Challenges

2019 International journal of recent technology and engineering  
Cloud monitoring is the process of reviewing, controlling and managing the operational workflow and processes within a cloud-based IT asset or infrastructure.  ...  Usage of agents for monitoring of cloud activities is also described. Finally, various challenges/issues and possible future directions of cloud monitoring is discussed.  ...  Wang [82] have presented a hybrid resource monitoring algorithm for Cloud computing called "P&P".  ... 
doi:10.35940/ijrte.c6857.098319 fatcat:4bs5vry46vfopges2tuvkdgn74

A Survey on Improving QoS in Service Level Agreement for Cloud Computing Environment

Afaf Edinat, Rizik M. H. Al-Sayyed, Amjad Hudaib
2021 International Journal of Interactive Mobile Technologies  
The relationship between CSPs and customers must be determined in a formal agreement, and to ensure how the QoS between them will be fulfilled, a clear Service Level Agreement (SLA) must be called for.  ...  Several previously-proposed models used in the literature to improve the QoS in the SLA for cloud computing and to face many of the challenges in the SLA are reviewed in this paper.  ...  This algorithm monitors the customer's resource requirements alteration to predict a physical device (PM).  ... 
doi:10.3991/ijim.v15i21.26379 fatcat:uxju4kydfnepnkk24ap3ndd5rm

Hybrid Cloud SLAs for Industry 4.0: Bridging the Gap

Lubna Luxmi Dhirani, Thomas Newe
2020 Annals of Emerging Technologies in Computing  
Hybrid Cloud Service Level Agreements (SLA) comprises of the legal terms and conditions for the cloud contract.  ...  Even though all the service level objectives, metrics and service descriptions are clearly outlined in the cloud SLA contract, sometimes vendors fail to meet the promised services and confusing terms lead  ...  of Excellence (ACE) for part funding this research.  ... 
doi:10.33166/aetic.2020.05.003 fatcat:3ppzpaatdff5nngokpfsqsnzw4

Research on Auto-Scaling of Web Applications in Cloud: Survey, Trends and Future Directions

Parminder Singh, Pooja Gupta, Kiran Jyoti, Anand Nayyar
2019 Scalable Computing : Practice and Experience  
We present a taxonomy of reviewed articles with parameters such as auto-scaling techniques, approach, resources, monitoring tool, experiment, workload, and metric, etc.  ...  One of the key challenges for web application in cloud computing is auto-scaling.  ...  Ref Type Policy Technique Approach Monitor SLA Metric Pricing Experiment [71] Hybrid HorizontalRightScale and TSA (LR + AR(1)) User behavior Simulated - CPU load, Re- quest rate on-demand  ... 
doi:10.12694/scpe.v20i2.1537 fatcat:5zdylggvtjdslichn6mpoleese

Cloud resource management: towards efficient execution of large-scale scientific applications and workflows on complex infrastructures

Nelson Mimura Gonzalez, Tereza Cristina Melo de Brito Carvalho, Charles Christian Miers
2017 Journal of Cloud Computing: Advances, Systems and Applications  
reliability, pose as challenges to truly position clouds as viable high-performance infrastructures for scientific computing.  ...  Workflows have emerged as a way to formalize and structure data analysis, thus becoming an increasingly popular paradigm for scientists to handle complex scientific processes.  ...  Seven metrics: energy, SLA, load, network load, profit, hybrid clouds, and mobile clouds.  ... 
doi:10.1186/s13677-017-0081-4 fatcat:oy36rd3zerc2rfx7rhpdqxvkte

Trustworthy Detection and Arbitration of SLA Violations in the Cloud [chapter]

Christian Schubert, Michael Borkowski, Stefan Schulte
2018 Lecture Notes in Computer Science  
Within this paper, we present a solution for measuring and arbitrating SLA violations in a way that can be trusted by both parties.  ...  In cloud computing, detecting violations of Service Level Agreements (SLAs) is possible by measuring certain metrics, which can be done by both the provider and the consumer of a service.  ...  Acknowledgment This work is partially funded by COMET K1, FFG -Austrian Research Promotion Agency, within the Austrian Center for Digital Production.  ... 
doi:10.1007/978-3-319-99819-0_7 fatcat:i46c22r5rjcgzcoabmnbxqelwq

Workload Patterns for Quality-Driven Dynamic Cloud Service Configuration and Auto-Scaling

Li Zhang, Yichuan Zhang, Pooyan Jamshidi, Lei Xu, Claus Pahl
2014 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing  
Cloud service providers negotiate SLAs for customer services they offer based on the reliability of performance and availability of their lower-level platform infrastructure.  ...  This enhances current reactive rule-based scalability approaches and basic prediction techniques based on for example exponential smoothing.  ...  A quote to illustrate this is "We are putting a lot of thought into how we can offer predictable, reliable and specific performance metrics to a customer that we can then [build an] SLA around," [C.  ... 
doi:10.1109/ucc.2014.24 dblp:conf/ucc/ZhangZJXP14 fatcat:u6xnszkpfjcndnzll4p5wpsowy

Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions [article]

Zhiheng Zhong, Minxian Xu, Maria Alejandra Rodriguez, Chengzhong Xu, Rajkumar Buyya
2021 arXiv   pre-print
Machine learning algorithms are accordingly employed by container orchestration systems for behavior modelling and prediction of multi-dimensional performance metrics.  ...  Existing mainstream cloud service providers have prevalently adopted container technologies in their distributed system infrastructures for automated application management.  ...  Overall, it provides clients with a cost-efficient pay-for-value billing standard as well as higher resource availability, scalability, and reliability.  ... 
arXiv:2106.12739v1 fatcat:bewvimekavduba4ku4stq32sny

Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions

Zhiheng Zhong, Minxian Xu, Maria Alejandra Rodriguez, Chengzhong Xu, Rajkumar Buyya
2022 ACM Computing Surveys  
Machine learning algorithms are accordingly employed by container orchestration systems for behavior modelling and prediction of multi-dimensional performance metrics.  ...  Existing mainstream cloud service providers have prevalently adopted container technologies in their distributed system infrastructures for automated application management.  ...  Various monitoring metrics Insuicient evaluation of application-level anomalies [69] Time series analysis Single cloud LSTM Anomaly detection and prediction on application or infrastructure-level metrics  ... 
doi:10.1145/3510415 fatcat:ykmi7diulbesfcqqbqlvrn5pcq

Service Level Agreements for Wireless Sensor Networks: A WSN operator's point of view

Guillaume Gaillard, Dominique Barthel, Fabrice Theoleyre, Fabrice Valois
2014 2014 IEEE Network Operations and Management Symposium (NOMS)  
This article gives formal guidelines for the implementation of a SLA architecture for operated WSNs.  ...  Moreover, the IETF experience in IP networks management is an important input for monitoring and QoS control over WSNs.  ...  For instance, the DSME mode of IEEE 802.15.4e provides periodic link status reports to a central entity; • use hybrid monitoring: in order to save bandwidth, the SLA Observer can use passive monitoring  ... 
doi:10.1109/noms.2014.6838261 dblp:conf/noms/GaillardBTV14 fatcat:yvb7asr675cfbmmvp23ng36xgq

Auto-scaling Web Applications in Clouds: A Taxonomy and Survey [article]

Chenhao Qu, Rodrigo N. Calheiros, Rajkumar Buyya
2017 arXiv   pre-print
We present a taxonomy of auto-scalers according to the identified challenges and key properties. We analyze the surveyed works and map them to the taxonomy to identify the weaknesses in this field.  ...  users to acquire or release computing resources on-demand, which enables web application providers to automatically scale the resources provisioned to their applications without human intervention under a  ...  Yaser Mansouri, Xunyun Liu, Minxian Xu, and Bowen Zhou for their valuable comments and suggestions in improving the quality of the paper.  ... 
arXiv:1609.09224v6 fatcat:dkk2ftpvpbcnvhcmc6lz2omwa4

Service level agreements-driven management of distributed applications in cloud computing environments

Alexandru-Florian Antonescu, Torsten Braun
2015 2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)  
Related Work on Prediction Algorithms Gandhi et al. [60] propose a hybrid solution for predicting the data center resource demands using historical monitoring data.  ...  scaling rules for distributed services using prediction mechanisms and correlation-derived relationships between SLA monitoring metrics [11] (Chapter 5) • a framework for dynamically allocating VMs  ... 
doi:10.1109/inm.2015.7140442 dblp:conf/im/AntonescuB15 fatcat:apvnb5r7nzgqjlmmqwt3svhrfu

Cloud Marginal Resource Allocation: A Decision Support Model

Walayat Hussain, Osama Sohaib, Mohsen Naderpour, Honghao Gao
2019 Journal on spesial topics in mobile networks and applications  
One of the significant challenges for cloud providers is how to manage resources wisely and how to form a viable service level agreement (SLA) with consumers to avoid any violation or penalties.  ...  In such contracts, both parties agree on a pricing model in which a consumer pays upfront only for the fixed resources and pays for the marginal resources when they are used.  ...  The monitoring agent receives a request from a consumer, calculates the related resource metrics, and forwards it to the run-time monitoring module to map it with the metrics defined by LoM2HiS.  ... 
doi:10.1007/s11036-019-01457-7 fatcat:n54l75y3r5ezzmam4wfi6vxtdm

On understanding the economics and elasticity challenges of deploying business applications on public cloud infrastructure

Basem Suleiman, Sherif Sakr, Ross Jeffery, Anna Liu
2011 Journal of Internet Services and Applications  
monitoring and elasticity of cloud-based business applications.  ...  CISOs, modeling and measuring CISOs' economics and elasticity, application workload patterns and its impact on achieving elasticity and economics, economics-driven elasticity decisions and policies, and SLA-driven  ...  In this regard, we see the mapping of application-specific metrics and SLA monitoring of cloud-based applications aspects as a fundamental to achieve this SLA-driven elasticity.  ... 
doi:10.1007/s13174-011-0050-y fatcat:kw54ct2qvvewjpzj52d4mrjrfa

AUTO RESOURCE MANAGEMENT TO ENHANCE RELIABILITY AND ENERGY CONSUMPTION IN HETEROGENEOUS CLOUD COMPUTING

Moataz H. Khalil, Mohamed Azab, Ashraf Elsayed3, Walaa Sheta, Mahmoud Gabr, Adel S. Elmaghraby
2020 Zenodo  
The output results show that SPRU enhanced the decision-making process for managing cloud computing resources and reduced energy consumption and the SLA violation.  ...  This paper proposes an Auto Resource Management (ARM) scheme to enhance reliability by reducing the Service Level Agreement (SLA) violation and reduce energy consumed by cloud computing servers.  ...  It is required to explain a workload independent metric that able to use for evaluating the SLA delivered to any VM deployed.  ... 
doi:10.5281/zenodo.3826484 fatcat:fxyeuarjgzbwzjtdqqip6eufhq
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