Evaluation of Auto Scaling and Load Balancing Features in Cloud

Abstract

Cloud computing is a latest technology that uses internet and centralized servers to maintain data and various types of applications. Cloud computing allows consumers and business people to use applications without any installation of either hardware or software and accessing their personal files at any computer with internet access. This technology allows for much more efficient computing by centralizing storage, memory, processing. The cloud computing system is the newer version of utility computing which has replaced its area at various data centers. The Load balancer determines when to start or end any virtual machine in the Cloud. The auto scaling feature along with the load balancing technique makes anyone easy to automatically increase or decrease back-end capacity to meet traffic fluctuation levels.

Multi Objective Task Scheduling VM Placement Method in Cloud Computing Environment Using Resource Optimization Technique

“…AWS uses the IaaS platform to provide computation and storage facilities. AWS uses high-speed networks to provide services over the Internet [34]. EBS is used for the permanent storage of blocks of instances.…”

A Cloud-Based Container Microservices: A Review on Load-Balancing and Auto-Scaling Issues

“…The load balancer starts and stops any virtual machine in the cloud. The load balancing technique, in conjunction with the auto-scaling feature, makes it simple to automatically increase or decrease backend capacity in response to traffic spikes [25]. Consequently, there is a need to optimize load balancing and auto-scaling strategies to configured and address cloudbased container microservices problems.…”

“…In cloud computing systems, the auto-scaling technique enables on-demand resource availability based on specific workloads. The auto-scaling service provides capacity management strategies to be configured and used to dynamically decide whether to acquire or release resource instances for a certain application [25]. Academics and cloud technology vendors have defined the concept with differing degrees of clarity in a variety of scenarios.…”

“…The addition of Auto Scaling groups to network architecture improves the performance and fault tolerance of the application. A load balancer can be used in architecture to distribute traffic among the instances in auto-scaling groups [25]. To achieve scalability in microservices, auto-scaling is usually considered the key strategy.…”