Understanding cloud-native applications after 10 years of cloud computing - A systematic mapping study

This books is open access under a CC BY 4.0 license. This book summarizes work being undertaken within the collaborative MODAClouds research project, which aims to facilitate interoperability between heterogeneous Cloud platforms and remove the constraints of deployment, portability, and reversibility for end users of Cloud services. Experts involved in the project provide a clear overview of the MODAClouds approach and explain how it operates in a variety of applications. While the wide spectrum of available Clouds constitutes a vibrant technical environment, many early-stage issues pose specific challenges from a software engineering perspective. MODAClouds will provide methods, a decision support system, and an open source IDE and run-time environment for the high-level design, early prototyping,semiautomatic code generation, and automatic deployment of applications on multiple Clouds. It will free developers from the need to commit to a fixed Cloud technology stack during software design and offer benefits in terms of cost savings, portability of applications and data between Clouds, reversibility (moving applications and data from Cloud to non-Cloud environments), risk management, quality assurance, and flexibility in the development process.

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Model-Driven Development and Operation of Multi-Cloud Applications: The MODAClouds Approach

Despite the research and standardization efforts carried out both by academia and commercial enterprises, the composition of existing cloud services which fully satisfy customers’ requirements is still a complex and tricky task. This situation is due to the high number of cloud services currently available on the market, which either expose non-standard interfaces or implement different standards, according to their specific objective. As in the past design patterns have been applied to software design to bring order and help developers in better building, composing and reusing their application, nowadays cloud patterns offer the opportunity to leverage best practices in services composition to ease the design and deployment of cloud-oriented applications. However, due to differences in semantics which affect services’, operations’ and parameters’ descriptions, cloud patterns alone cannot solve the cloud service composition problem. In this paper a methodology for the discovery and composition of cloud services, guided by cloud patterns, is presented. Such a methodology is supported by semantic Web technologies, such as OWL, OWL-S and SPARQL, to solve incongruence between interfaces’ and parameters’ descriptions, and to automatize the whole composition process.

Cloud services composition through cloud patterns: a semantic-based approach

QoS (Quality of Service) is a series of widely used indicators for networked user-oriented online services such as SOAP/JSON based web services, serverless microservices or function services in the modern cloud market. Of which, response time and throughput are most important measurements which almost determine the whole user experience caused by underlying factors including network delay or congestion, fluctuating service computation performance at different system workload level, or constrained by cascading resource or service dependencies. It’s valuable to accurately predict QoS indicators under complex scenarios and conditions combination from archived history service experience dataset. In this paper, two subsets of real-world dataset named WS-DREAM were used, which collected 339 users’ records on 5825 web services. Based on related work and descriptive analysis, two QoS (response time and throughput) prediction models were proposed for classification and regression problems. A custom recurrent neural network(RNN) was proposed, which comprises stacked multiple LSTM(Long term and Short Term Memory) layers, several regularization techniques were used. Extensive experiments were conducted to verify the accuracy and efficiency of deep learning based approach comparing with 6 competitive machine learning approaches, including decision tree, AdaBoost, multilayer perceptron, XGBoost, LightGBM, and CatBoost. Results showed the prediction accuracy of most algorithms could reach more than 90%, and the proposed RNN based network showed a superior performance both at accuracy and efficiency than other approaches.

A Recurrent Neural Network Based Approach for Web Service QoS Prediction

Cloud computing can be a game-changer for computationally intensive tasks like simulations. The computational power of Amazon, Google, or Microsoft is even available to a single researcher. However...

Towards cloud-native simulations – lessons learned from the front-line of cloud computing:

This book continues the very high standard we have come toexpect from ServiceTech Press. The book provideswell-explainedvendor-agnostic patterns to the challenges of providing or using cloud solutions from PaaS to SaaS. The book is not only a great patterns reference, but also worth reading from cover to cover as the patterns arethought-provoking,drawing out points that you should consider and ask of a potential vendor if youre adopting a cloud solution.--Phil Wilkins, Enterprise Integration Architect, Specsavers Thomas Erls text provides a unique and comprehensive perspective on cloud design patterns that is clearly and concisely explained for the technical professional and layman alike. It is an informative, knowledgeable, and powerful insight that may guide cloud experts in achieving extraordinary results based on extraordinary expertise identified in this text. I will use this text as a resource in future cloud designs and architectural considerations.--Dr. Nancy M. Landreville, CEO/CISO, NML Computer Consulting The Definitive Guide to Cloud Architecture and Design Best-selling service technology author Thomas Erl has brought together the de facto catalog of design patterns for modern cloud-based architecture and solution design. More than two years in development, this books 100+ patterns illustrate proven solutions to common cloud challenges and requirements. Its patterns are supported by rich, visual documentation, including 300+ diagrams. The authors address topics covering scalability, elasticity, reliability, resiliency, recovery, data management, storage, virtualization, monitoring, provisioning, administration, and much more. Readers will further find detailed coverage of cloud security, from networking and storage safeguards to identity systems, trust assurance, and auditing. This books unprecedented technical depth makes it a must-have resource for every cloud technology architect, solution designer, developer, administrator, and manager. Topic Areas Enabling ubiquitous, on-demand, scalable network access to shared pools of configurable IT resources Optimizing multitenant environments to efficiently serve multiple unpredictable consumers Using elasticity best practices to scale IT resources transparently and automatically Ensuring runtime reliability, operational resiliency, and automated recovery from any failure Establishing resilient cloud architectures that act as pillars for enterprise cloud solutions Rapidly provisioning cloud storage devices, resources, and data with minimal management effort Enabling customers to configure and operate custom virtual networks in SaaS, PaaS, or IaaS environments Efficiently provisioning resources, monitoring runtimes, and handling day-to-day administration Implementing best-practice security controls for cloud service architectures and cloud storage Securing on-premise Internet access, external cloud connections, and scaled VMs Protecting cloud services against denial-of-service attacks and traffic hijacking Establishing cloud authentication gateways, federated cloud authentication, and cloud key management Providing trust attestation services to customers Monitoring and independently auditing cloud security Solving complex cloud design problems with compound super-patterns

Cloud Computing Design Patterns

This book continues the very high standard we have come toexpect from Service Tech Press. The book provideswell-explainedvendor-agnostic patterns to the challenges of providing or using cloud solutions from PaaS to SaaS. The book is not only a great patterns reference, but also worth reading from cover to cover as the patterns arethought-provoking, drawing out points that you should consider and ask of a potential vendor if youre adopting a cloud solution.--Phil Wilkins, Enterprise Integration Architect, Specsavers Thomas Erls text provides a unique and comprehensive perspective on cloud design patterns that is clearly and concisely explained for the technical professional and layman alike. It is an informative, knowledgeable, and powerful insight that may guide cloud experts in achieving extraordinary results based on extraordinary expertise identified in this text. I will use this text as a resource in future cloud designs and architectural considerations.--Dr. Nancy M. Landreville, CEO/CISO, NML Computer Consulting The Definitive Guide to Cloud Architecture and Design Best-selling service technology author Thomas Erl has brought together the de facto catalog of design patterns for modern cloud-based architecture and solution design. More than two years in development, this books 100+ patterns illustrate proven solutions to common cloud challenges and requirements. Its patterns are supported by rich, visual documentation, including 300+ diagrams. The authors address topics covering scalability, elasticity, reliability, resiliency, recovery, data management, storage, virtualization, monitoring, provisioning, administration, and much more. Readers will further find detailed coverage of cloud security, from networking and storage safeguards to identity systems, trust assurance, and auditing. This books unprecedented technical depth makes it a must-have resource for every cloud technology architect, solution designer, developer, administrator, and manager. Topic Areas Enabling ubiquitous, on-demand, scalable network access to shared pools of configurable IT resources Optimizing multitenant environments to efficiently serve multiple unpredictable consumers Using elasticity best practices to scale IT resources transparently and automatically Ensuring runtime reliability, operational resiliency, and automated recovery from any failure Establishing resilient cloud architectures that act as pillars for enterprise cloud solutions Rapidly provisioning cloud storage devices, resources, and data with minimal management effort Enabling customers to configure and operate custom virtual networks in SaaS, PaaS, or IaaS environments Efficiently provisioning resources, monitoring runtimes, and handling day-to-day administration Implementing best-practice security controls for cloud service architectures and cloud storage Securing on-premise Internet access, external cloud connections, and scaled VMs Protecting cloud services against denial-of-service attacks and traffic hijacking Establishing cloud authentication gateways, federated cloud authentication, and cloud key management Providing trust attestation services to customers Monitoring and independently auditing cloud security Solving complex cloud design problems with compound super-patterns

Cloud Computing Design Patterns (paperback)

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Cloud Computing Design Patterns

Cloud Computing Design Patterns (paperback)