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Using Ansible Playbooks to Port Non-cloud-Native Applications Across Linux Distributions: A Novel Approach
Porting of software applications is a very old research problem and has led to many unique solutions like POSIX interface specifications. Linux...
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Emerging Trends in Cloud Computing Paradigm: An Extensive Literature Review on Cloud Security, Service Models, and Practical Suggestions
In the modern age of technology, the term cloud computing is getting hype day by day. Cloud computing platform works based on on-demand services on...
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Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model
One of the preconditions for efficient cloud computing services is the continuous availability of services to clients. However, there are various...
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DRABC-LB: A Novel Resource-Aware Load Balancing Algorithm Based on Dynamic Artificial Bee Colony for Dynamic Resource Allocation in Cloud
The purpose of this research is to propose a dynamic configuration of resources in a cloud computing (CC) environment by using dynamic optimization...
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Salesforce Experience Cloud
The end product of Salesforce Experience Cloud (previously Community Cloud) can be referred to by a variety of terms: digital experiences, social...
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Description, discovery, and recommendation of Cloud services: a survey
Cloud computing has become the most popular concept for on-demand delivery of Cloud computing services. Due to its high flexibility, many Cloud...
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An Integrated Framework for Smart Earthquake Prediction: IoT, Fog, and Cloud Computing
Earthquakes are among the most complex and expensive natural catastrophes that humans face, which strikes without warning. As a result, earthquake...
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Cloud Monitoring and Observability
The objective of this chapter is to highlight the basic concepts behind cloud monitoringCloud monitoring. The reader will come to know how monitoring...
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A cloud weather forecasting service and its relationship with anomaly detection
The main goal of the anomaly detection analysis is to identify the observations that do not adhere to general patterns considered normal behavior. In...
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A new hybrid multi-objective optimization algorithm for task scheduling in cloud systems
Nowadays, cloud computing is widely used in various fields and is booming day by day with different services offered to users according to their...
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Efficient latency-and-energy-aware IoT-fog-cloud task orchestration: novel algorithmic approach with enhanced arithmetic optimization and pattern search
Nowadays, the load on datacenters has become more and more due to the unprecedented growth of diversified data from many IoT devices; hence, resource...
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Challenges of Python Debugging in Cloud Computing
In this chapter, you will start surveying the challenges of debugging in cloud computing, AI, and machine learning. You will start with cloud...
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Cloud based evaluation of databases for stock market data
About fifty years ago, the world’s first fully automated system for trading securities was introduced by Instinet in the US. Since then the world of...
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An optimistic approach for task scheduling in cloud computing
Cloud computing is gaining popularity around the globe over the last decade due to offering various types of services to end-users. Virtual machines...
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Improving Dynamic Placement of Virtual Machines in Cloud Data Centers Based on Open-Source Development Model Algorithm
Although cloud computing can provide information technology services worldwide, data centers hosting cloud applications consume a lot of energy. At...
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A configurable method for benchmarking scalability of cloud-native applications
Cloud-native applications constitute a recent trend for designing large-scale software systems. However, even though several cloud-native tools and...
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Edge and cloud computing approaches in the early diagnosis of skin cancer with attention-based vision transformer through hyperspectral imaging
Hyperspectral imaging is applied in the medical field for automated diagnosis of diseases, especially cancer. Among the various classification...
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Unsupervised non-rigid point cloud registration based on point-wise displacement learning
Registration of deformable objects is a fundamental prerequisite for many modern virtual reality and computer vision applications. However, due to...
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Cloud-Native Development within Radical Therapy Philosophy
Part of the broader Radical Therapy Development philosophy is the importance of cloud-native software development. This approach emphasizes the...
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Optimal urban competitiveness assessment using cloud computing and neural network
In the network economy domain, urban competitiveness refers to the comparison between cities in terms of competition and development. It is the...
