Elasticity in cloud computing: state of the art and research challenges

Y Al-Dhuraibi, F Paraiso, N Djarallah… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Elasticity is a fundamental property in cloud computing that has recently witnessed major
developments. This article reviews both classical and recent elasticity solutions and …

Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy

D Soni, N Kumar - Journal of Network and Computer Applications, 2022 - Elsevier
Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …

Machine learning based workload prediction in cloud computing

J Gao, H Wang, H Shen - 2020 29th international conference …, 2020 - ieeexplore.ieee.org
As a widely used IT service, more and more companies shift their services to cloud
datacenters. It is important for cloud service providers (CSPs) to provide cloud service …

Autopilot: workload autoscaling at google

K Rzadca, P Findeisen, J Swiderski, P Zych… - Proceedings of the …, 2020 - dl.acm.org
In many public and private Cloud systems, users need to specify a limit for the amount of
resources (CPU cores and RAM) to provision for their workloads. A job that exceeds its limits …

Resource central: Understanding and predicting workloads for improved resource management in large cloud platforms

E Cortez, A Bonde, A Muzio, M Russinovich… - Proceedings of the 26th …, 2017 - dl.acm.org
Cloud research to date has lacked data on the characteristics of the production virtual
machine (VM) workloads of large cloud providers. A thorough understanding of these …

Seer: Leveraging big data to navigate the complexity of performance debugging in cloud microservices

Y Gan, Y Zhang, K Hu, D Cheng, Y He… - Proceedings of the …, 2019 - dl.acm.org
Performance unpredictability is a major roadblock towards cloud adoption, and has
performance, cost, and revenue ramifications. Predictable performance is even more critical …

A review of auto-scaling techniques for elastic applications in cloud environments

T Lorido-Botran, J Miguel-Alonso, JA Lozano - Journal of grid computing, 2014 - Springer
Cloud computing environments allow customers to dynamically scale their applications. The
key problem is how to lease the right amount of resources, on a pay-as-you-go basis …

Quasar: Resource-efficient and qos-aware cluster management

C Delimitrou, C Kozyrakis - ACM Sigplan Notices, 2014 - dl.acm.org
Cloud computing promises flexibility and high performance for users and high cost-efficiency
for operators. Nevertheless, most cloud facilities operate at very low utilization, hurting both …

Workload prediction using ARIMA model and its impact on cloud applications' QoS

RN Calheiros, E Masoumi, R Ranjan… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
As companies shift from desktop applications to cloud-based software as a service (SaaS)
applications deployed on public clouds, the competition for end-users by cloud providers …

Auto-scaling web applications in clouds: A taxonomy and survey

C Qu, RN Calheiros, R Buyya - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Web application providers have been migrating their applications to cloud data centers,
attracted by the emerging cloud computing paradigm. One of the appealing features of the …