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 …

Auto-scaling techniques for IoT-based cloud applications: a review

S Verma, A Bala - Cluster Computing, 2021 - Springer
Cloud and IoT applications have inquiring effects that can strongly influence today's ever-
growing internet life along with necessity to resolve numerous challenges for each …

Research on auto-scaling of web applications in cloud: survey, trends and future directions

P Singh, P Gupta, K Jyoti, A Nayyar - Scalable Computing: Practice and …, 2019 - scpe.org
Cloud computing emerging environment attracts many applications providers to deploy web
applications on cloud data centers. The primary area of attraction is elasticity, which allows …

Towards effective network intrusion detection: from concept to creation on Azure cloud

S Rajagopal, PP Kundapur, KS Hareesha - IEEE Access, 2021 - ieeexplore.ieee.org
Network Intrusion Detection is one of the most researched topics in the field of computer
security. Hacktivists use sophisticated tools to launch numerous attacks that hamper the …

A review of microservices autoscaling with formal verification perspective

SNA Jawaddi, MH Johari… - Software: Practice and …, 2022 - Wiley Online Library
The process of scaling microservices is a challenging task, especially in maintaining
optimum resource provisioning while respecting QoS constraints and SLA. Many research …

Predictive autoscaling of microservices hosted in fog microdata center

M Abdullah, W Iqbal, A Mahmood… - IEEE Systems …, 2020 - ieeexplore.ieee.org
Fog computing provides microdata center (MDC) facilities closer to the users and
applications, which help to overcome the application latency and response time concerns …

Prioritized fault recovery strategies for multi-access edge computing using probabilistic model checking

K Ray, A Banerjee - IEEE Transactions on Dependable and …, 2022 - ieeexplore.ieee.org
The advent of Multi-Access Edge Computing (MEC) has enabled service providers to
mitigate high network latencies often encountered in accessing cloud services by deploying …

Unearthing semantic checks for cloud infrastructure-as-code programs

Y Qiu, PTJ Kon, R Beckett, A Chen - Proceedings of the ACM SIGOPS …, 2024 - dl.acm.org
Cloud infrastructures are increasingly managed by Infrastructure-as-Code (IaC) frameworks
(eg, Terraform). IaC frameworks enable cloud users to configure their resources in a …

[PDF][PDF] Load balancing framework for cross-region tasks in cloud computing

J Nazir, MW Iqbal, T Alyas, M Hamid… - … , Materials & Continua, 2022 - academia.edu
Load balancing is a technique for identifying overloaded and underloaded nodes and
balancing the load between them. To maximize various performance parameters in cloud …

Performance-cost trade-off in auto-scaling mechanisms for cloud computing

I Fé, R Matos, J Dantas, C Melo, TA Nguyen, D Min… - Sensors, 2022 - mdpi.com
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 …