Software as a service

About: Software as a service is a research topic. Over the lifetime, 8514 publications have been published within this topic receiving 136177 citations. The topic is also known as: Service as a Software Substitute & SaaSS.

Microservices, IoT and Azure: Leveraging DevOps and Microservice Architecture to deliver SaaS Solutions

Abstract: This book provides practical guidance for adopting a high velocity, continuous delivery process to create reliable, scalable, Software-as-a-Service (SaaS) solutions that are designed and built using a microservice architecture, deployed to the Azure cloud, and managed through automation. Microservices, IoT, and Azure offers software developers, architects, and operations engineers step-by-step directions for building SaaS applicationsapplications that are available 24x7, work on any device, scale elastically, and are resilient to change--through code, script, exercises, and a working reference implementation. The book provides a working definition of microservices and contrasts this approach with traditional monolithic Layered Architecture. A fictitious, homebiomedical startup is used to demonstrate microservice architecture and automation capabilities for cross-cutting and business services as well as connected device scenarios for Internet of Things (IoT). Several Azure PaaS services are detailed including Storage, SQL Database, DocumentDb, Redis Cache, Cloud Services, Web API's, API Management, IoT Hub, IoT Suite, Event Hub, and Stream Analytics. Finally the book looks to the future and examines Service Fabric to see how microservices are becoming the de facto approach to building reliable software in the cloud. What youll learn What microservices are and why are theyre a compelling architecture pattern for SaaS applications How to design, develop, and deploy microservices using Visual Studio, Power Shell, and Azure Microservice patterns for cross-cutting concerns and business capabilities Microservice patterns for Internet of Things and big data analytics solutions using IoT Hub, Event Hub, and Stream AnalyticsTechniques for automating microservice provisioning, building, and deployment What Service Fabric is and how its the future direction for microservices on Microsoft Azure Who this book is for Software Application Architects, .NET Developers, Database Admins and DevOps engineers. The code samples will primarily be in C# but will also include Node.JS samples.

Cloud Computing Architecture: A Critical Analysis

Abstract: Cloud computing has evolved to emerge the most topical IT paradigm in recent times. Cloud computing is rapidly transforming the IT landscape. On a pay-as-you-use basis, cloud consumers can access resources, applications and infrastructure provided by cloud providers. Such access could be in form of applications already deployed by cloud providers for use by the cloud users. It could be in form of the capability to develop and deploy user applications using services of a cloud provider. In addition, massive storage infrastructure is available for database and data supplied by the user. The cloud has several unique architectures and many more are still evolving. The primary ones are the SaaS, PaaS and the IaaS that can be deployed on private, public, community and hybrid clouds. This paper examines present developments in the cloud computing architecture and presents guidance for additional research. Papers published in journals, conferences, white papers were analyzed. The objective of this present work is to identify, examine and explain the current trends and development in cloud computing architecture. However, only 13% of the papers examined discussed Others-as-a-Service, while only 26% of the papers reviewed considered issues relating to the major actors involved in cloud computing. This will beneficial to cloud providers, users, and researchers alike

SaaS Enterprise Resource Planning Systems: Challenges of Their Adoption in SMEs

Abstract: As more and more organisations move from on-premise to on-demand software solutions in order to minimise overhead costs, the Enterprise Resource Planning (ERP) providers begin to offer their well-established best business processes as cloud based IT solutions. As a result, ERP software previously reserved for large organisations mainly due to heavy costs associated with the initial purchase of the software, its licensing costs and subsequent configuration and maintenance, begins to open up to Small and Medium Enterprises (SMEs). With more and more Software as a Service (SaaS) ERP solutions on the market, SMEs are beginning to consider and implement these solutions as opposed to in-house developed applications, in a bid to offer better customer relationship, gain new markets and increase profits, amongst other benefits. As this study reveals, while deployment model is a key advantage in enabling organisations to minimise costs, certain critical factors as well as some barriers need to be addressed to enable organisations to successfully implement these systems. This paper aims to identify and evaluate common problems experienced in the implementation as well as post-implementation stage of Software as Service ERP systems by Small and Medium Enterprises. Qualitative data was collected from five European and US companies, which implemented SaaS ERP, by means of a set of semi-formal interviews and online questionnaire.

Monitoring Cloud Computing by Layer, Part 2

Abstract: In part I, the author briefly introduced cloud computing and a model of it that has seven layers (facility, network, hardware, OS, middleware, application, and the user). Each cloud computing deployment must have these layers, but different deployment types give control of them to different parties. Here, the author covers controls that could be implemented in the middleware, application, and user layers to monitor and audit information assurance.

An edge operating system enabling anything-as -a-service

Abstract: This article argues that SDN and NFV, together with cloud and edge-fog computing, can be seen as different facets of a systemic transformation of telecommunications and ICT, called softwarization. The first impact will be at the edge of current telecommunications infrastructures, which are becoming powerful network and service platforms. The edge operating system (EOS) software architecture is proposed as the means to get there. In fact, the main feature of EOS is to bring several service domains, such as cloud robotics, Internet of Things, and Tactile Internet, into convergence at the edge. The development of EOS leverages available open source software. A use case is described to validate the EOS with a proof-of-concept.