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Shape Analysis of Surfaces Using General Elastic Metrics
In this article, we introduce a family of elastic metrics on the space of parametrized surfaces in 3D space using a corresponding family of metrics...
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MRI-based model for MCI conversion using deep zero-shot transfer learning
This study describes a deep zero-shot transfer learning model (DZTLM) for predicting mild cognitive impairment (MCI) in patients with Alzheimer’s...
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Scalability and Autoscaling Strategies
In this chapter, we will explore the fundamental principles and advanced strategies for achieving scalability, with a focus on autoscaling...
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A survey of Kubernetes scheduling algorithms
As cloud services expand, the need to improve the performance of data center infrastructure becomes more important. High-performance computing,...
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A Study of Augmentation Methods for Handwritten Stenography Recognition
One of the factors limiting the performance of handwritten text recognition (HTR) for stenography is the small amount of annotated training data. To...
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Spring Boot App on AWS EKS
In this chapter, we’ll look at the architecture and code of the deployment of a working application developed in Spring Boot. We saw the process of...
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Cloud Infrastructure of the European Language Grid
The European Language Grid (ELG) is a cloud-based platform, utilising a variety of software packages as well as infrastructure components and virtual...
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Optimizing LSM-based indexes for disaggregated memory
The emerging trend of memory disaggregation where CPU and memory are physically separated from each other and are connected via ultra-fast...
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Reliable stream data processing for elastic distributed stream processing systems
Distributed stream processing system (DSPS) has proven to be an effective way to process and analyze large-scale data streams in real-time fashions....
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Design and Control of a Novel Underactuated Soft Exosuit
Soft exosuit is widely researched to assist walking. Lacking of physical compliance in hip exosuits restricts wearing comfort of the system. This...
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A Methodology for Optimization Design of Parallel Manipulators with Similar Stiffness Performance
The similar stiffness performance design of parallel manipulators (PMs) is an important prerequisite for scaling the mechanism according to the...
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Introducing Microsoft Orleans
Orleans helps developers to easily create cloud-native, elastic, highly available applications. We can take advantage of the actor framework without...
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Multi-level just-enough elasticity for MQTT brokers of Internet of Things applications
Applications for the Internet of Things (IoT) are rapidly having an impact on all areas of daily life. Every day, its embedded devices generate loads...
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DeepVRM: Deep Learning Based Virtual Resource Management for Energy Efficiency
Network function virtualization (NFV) provides dynamic, energy-efficient, and cost-effective network services by segregating network services from...
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A Survey of Actor-Like Programming Models for Serverless Computing
Serverless computing promises to significantly simplify cloud computing by providing Functions-as-a-Service where invocations of functions, triggered...
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Automated cloud resources provisioning with the use of the proximal policy optimization
Many modern applications, both scientific and commercial, are deployed to cloud environments and often employ multiple types of resources. That...
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Confidence-Aware and Self-supervised Image Anomaly Localisation
Universal anomaly detection still remains a challenging problem in machine learning and medical image analysis. It is possible to learn an expected...
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Formal reconfiguration model for cloud resources
The execution context of the cloud composite services is dynamically and rapidly changing. In the cloud environment, the service demands can...
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Misty: Microservice-Based Streaming Trajectory Similarity Search
As a fundamental operation in various LBS (Location Based Service) applications, the trajectory similarity search has long been a performance...
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Data Augmentation via Partial Nonlinear Registration for Brain-Age Prediction
Data augmentation techniques that improve the classification and segmentation of natural scenes often do not transfer well to brain imaging data. The...