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 …
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 …
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
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 …
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
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 …
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 …
optimum resource provisioning while respecting QoS constraints and SLA. Many research …
Predictive autoscaling of microservices hosted in fog microdata center
Fog computing provides microdata center (MDC) facilities closer to the users and
applications, which help to overcome the application latency and response time concerns …
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
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 …
mitigate high network latencies often encountered in accessing cloud services by deploying …
Unearthing semantic checks for cloud infrastructure-as-code programs
Cloud infrastructures are increasingly managed by Infrastructure-as-Code (IaC) frameworks
(eg, Terraform). IaC frameworks enable cloud users to configure their resources in a …
(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
Load balancing is a technique for identifying overloaded and underloaded nodes and
balancing the load between them. To maximize various performance parameters in cloud …
balancing the load between them. To maximize various performance parameters in cloud …
Performance-cost trade-off in auto-scaling mechanisms for cloud computing
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 …
with a variety of requirements. With a strong economic appeal, cloud computing makes …