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Reinforcement Learning-Based Auto-scaling Algorithm for Elastic Cloud Workflow Service
Deploying a workflow engine as a service on a container cloud environment can improve its service quality and reliability, but auto-scaling of the... -
Scaling Laravel Applications
In the previous chapter, we delved into the essential aspects of performance monitoring and debugging in Laravel, ensuring the efficiency and... -
Cost-Availability Aware Scaling: Towards Optimal Scaling of Cloud Services
Cloud services have become increasingly popular for develo** large-scale applications due to the abundance of resources they offer. The scalability...
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AMAS: Adaptive auto-scaling for edge computing applications
Edge computing offers a promising approach to building on-demand computing infrastructure, leveraging clusters of small, commodity-scale,...
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QAAS: quick accurate auto-scaling for streaming processing
In recent years, the demand for real-time data processing has been increasing, and various stream processing systems have emerged. When the amount of...
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An efficient cloud-based elastic RDMA protocol for HPC applications
High-performance computing (HPC) networking is of great importance in scaling many HPC applications across multiple nodes. Generally, most HPC...
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Elastic Compute Cloud (EC2)
This chapter covers the compute services in AWS. You will learn about virtual machines, Elastic Cloud Compute (EC2), Amazon EC2 features, the naming... -
Elastic Kubernetes Service from AWS
AWS Elastic Kubernetes Service has been generally available since 2018. It is one of the major implementations of Kubernetes-as-a-Service on a public... -
Heterogeneity-aware elastic scaling of streaming applications on cloud platforms
Rise of Big Data techniques has led to the requirement for low latency analysis of high-velocity continuous data streams in real time. Several...
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ARIMA-PID: container auto scaling based on predictive analysis and control theory
Containerization has become a widely popular virtualization mechanism alongside Virtual Machines (VMs) to deploy applications and services in the...
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Backward Pattern Matching on Elastic-Degenerate Strings
The concept of elastic-degenerate strings (EDS) was introduced as a way of representing a sequenced population of the same species. Several online...
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Reducing the Teacher-Student Gap via Elastic Student
The application of knowledge distillation (KD) has shown promise in transferring knowledge from a larger teacher model to a smaller student model.... -
An auto-scaling mechanism for cloud-based multimedia storage systems: a fuzzy-based elastic controller
Cloud computing is a new technology that is increasing in popularity day-by-day. One of the reasons for its popularity can be its elasticity feature....
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Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling
We introduce the structure optimized proximity scaling (STOPS) framework for hyperparameter selection in parametrized multidimensional scaling and...
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Monitoring and Scaling
In the previous chapters, we covered many important topics related to the initial stages of adopting Azure SQL Hyperscale. Up until now, this book... -
Scaling Up, A Lot
By now, you should be pretty comfortable with building multiplayer games in Unity, but that’s only half the battle. Next, we’ll discuss how you can... -
Adaptive Scaling for U-Net in Time Series Classification
Convolutional Neural Networks such as U-Net are recently getting popular among researchers in many applications, such as Biomedical Image... -
HyPar-FCA+: an improved workload-aware elastic framework for FCA
Formal concept analysis (FCA) algorithms are computationally expensive. Several parallel and distributed FCA algorithms are proposed to reduce the...
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Scaling of urban amenities: generative statistics and implications for urban planning
Cities have been extensively studied as complex adaptive systems over the last 50 years. Recently, several empirical studies and emerging theory...
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Scaling Model for vIMS on the Cloud
European Telecommunications Standards Institute (ETSI) releases a white paper to illustrate the reference framework for Network Function...