scholarly journals MiCADO – Towards a microservice-based cloud application-level dynamic orchestrator

2016 ◽  
Author(s):  
Hannu Visti ◽  
Tamas Kiss ◽  
Gabor Terstyanszky ◽  
Gregoire Gesmier ◽  
Stephen Winter
Keyword(s):  
Dynamic Capabilities ◽  
Web Applications ◽  
End User ◽  
Data Intensive ◽  
Generic Framework ◽  
Cloud Application ◽  
Technical Details ◽  
Commercial Applications ◽  
Application Developers ◽  
Cloud Applications

In order to satisfy end-user requirements, many scientific and commercial applications require access to dynamically adjustable infrastructure resources. Cloud computing has the potential to provide these dynamic capabilities. However, utilising these capabilities from application code is not trivial and requires application developers to understand low-level technical details of clouds. This paper investigates how a generic framework can be developed that supports the dynamic orchestration of cloud applications both at deployment and at run-time. The advantages and challenges of designing such framework based on microservices is analysed, and a generic framework, called MiCADO – (Microservices-based Cloud Application-level Dynamic Orchestrator) is proposed. A first prototype implementation of MiCADO to support data intensive commercial web applications is also presented.

scholarly journals MiCADO – Towards a microservice-based cloud application-level dynamic orchestrator

2016 ◽  
Author(s):  
Hannu Visti ◽  
Tamas Kiss ◽  
Gabor Terstyanszky ◽  
Gregoire Gesmier ◽  
Stephen Winter
Keyword(s):  
Dynamic Capabilities ◽  
Web Applications ◽  
End User ◽  
Data Intensive ◽  
Generic Framework ◽  
Cloud Application ◽  
Technical Details ◽  
Commercial Applications ◽  
Application Developers ◽  
Cloud Applications

In order to satisfy end-user requirements, many scientific and commercial applications require access to dynamically adjustable infrastructure resources. Cloud computing has the potential to provide these dynamic capabilities. However, utilising these capabilities from application code is not trivial and requires application developers to understand low-level technical details of clouds. This paper investigates how a generic framework can be developed that supports the dynamic orchestration of cloud applications both at deployment and at run-time. The advantages and challenges of designing such framework based on microservices is analysed, and a generic framework, called MiCADO – (Microservices-based Cloud Application-level Dynamic Orchestrator) is proposed. A first prototype implementation of MiCADO to support data intensive commercial web applications is also presented.

Rapid Development of Service-based Cloud Applications

2015 ◽  
Vol 5 (4) ◽  
pp. 1-25
Author(s):  
Fotis Gonidis ◽  
Iraklis Paraskakis ◽  
Anthony J. H. Simons
Keyword(s):  
Rapid Development ◽  
New Approach ◽  
Development Framework ◽  
Optimal Service ◽  
Cloud Application ◽  
Multiple Platform ◽  
Basic Services ◽  
Application Developers ◽  
Cloud Applications

Cloud application platforms gain popularity and have the potential to alter the way service-based cloud applications are developed involving utilisation of platform basic services. A platform basic service provides certain functionality and is usually offered via a web API. However, the diversification of the services and the available providers increase the challenge for the application developers to integrate them and deal with the heterogeneous providers' web APIs. Therefore, a new approach of developing applications should be adopted in which developers leverage multiple platform basic services independently from the target application platforms. To this end, the authors present a development framework assisting the design of service-based cloud applications. The objective of the framework is to enable the consistent integration of the services, and to allow the seamless use of the concrete providers. The optimal service provider each time can vary depending on criteria such as pricing, quality of service and can be determined based upon Big Data analysis approaches.

Rapid Development of Service-Based Cloud Applications

Big Data ◽  
2016 ◽  
pp. 392-417
Author(s):  
Fotis Gonidis ◽  
Iraklis Paraskakis ◽  
Anthony J. H. Simons
Keyword(s):  
Rapid Development ◽  
Big Data Analysis ◽  
Development Framework ◽  
Optimal Service ◽  
Cloud Application ◽  
Multiple Platform ◽  
Basic Services ◽  
Application Developers ◽  
Cloud Applications

Cloud application platforms gain popularity and have the potential to alter the way service-based cloud applications are developed involving utilisation of platform basic services. A platform basic service provides certain functionality and is usually offered via a web API. However, the diversification of the services and the available providers increase the challenge for the application developers to integrate them and deal with the heterogeneous providers' web APIs. Therefore, a new approach of developing applications should be adopted in which developers leverage multiple platform basic services independently from the target application platforms. To this end, the authors present a development framework assisting the design of service-based cloud applications. The objective of the framework is to enable the consistent integration of the services, and to allow the seamless use of the concrete providers. The optimal service provider each time can vary depending on criteria such as pricing, quality of service and can be determined based upon Big Data analysis approaches.

scholarly journals Managing Scientific Software Complexity with Bocca and CCA

2008 ◽  
Vol 16 (4) ◽  
pp. 315-327 ◽  
Author(s):  
Benjamin A. Allan ◽  
Boyana Norris ◽  
Wael R. Elwasif ◽  
Robert C. Armstrong
Keyword(s):  
High Performance ◽  
Web Applications ◽  
Scientific Software ◽  
Common Component ◽  
Software Complexity ◽  
Common Component Architecture ◽  
Engineering Practices ◽  
Short Time ◽  
Application Developers ◽  
Glue Code

In high-performance scientific software development, the emphasis is often on short time to first solution. Even when the development of new components mostly reuses existing components or libraries and only small amounts of new code must be created, dealing with the component glue code and software build processes to obtain complete applications is still tedious and error-prone. Component-based software meant to reduce complexity at the application level increases complexity to the extent that the user must learn and remember the interfaces and conventions of the component model itself. To address these needs, we introduce Bocca, the first tool to enable application developers to perform rapid component prototyping while maintaining robust software-engineering practices suitable to HPC environments. Bocca provides project management and a comprehensive build environment for creating and managing applications composed of Common Component Architecture components. Of critical importance for high-performance computing (HPC) applications, Bocca is designed to operate in a language-agnostic way, simultaneously handling components written in any of the languages commonly used in scientific applications: C, C++, Fortran, Python and Java. Bocca automates the tasks related to the component glue code, freeing the user to focus on the scientific aspects of the application. Bocca embraces the philosophy pioneered by Ruby on Rails for web applications: start with something that works, and evolve it to the user's purpose.

scholarly journals Processes and organizational innovation for small businesses

2019 ◽  
Vol 34 (62) ◽  
pp. 82-93
Author(s):  
Joaquim Jose Carvalho Proença ◽  
Fernando Jiménez Sáez
Keyword(s):  
Small Businesses ◽  
Dynamic Capabilities ◽  
Design Thinking ◽  
Organizational Innovation ◽  
User Innovation ◽  
Value Proposition ◽  
End User ◽  
Collaborative Processes ◽  
A Company ◽  
Innovation Processes

Dynamic capabilities to innovate can be acquired regardless of the size of a company, but this requires that users participating in innovation processes be identified (value proposition segments) and the way organizations interact with these users be understood (processes). Small businesses can innovate with fewer financial and human resources using Customer Discovery, environment scanning, immersion, customer journey mapping, Customer Validation with validation of ideas and solutions in dynamic group sessions, Gamification, Design Thinking and prototyping workshops. The methodology used herein is that of literature review in the areas of process, products and dynamic capabilities innovation of companies. The objective of this research is to explore innovative processes that take into account and involve greater user collaboration that small businesses can exploit, which are targeted at the end user. Innovation does not have to be uncertain or expensive and can be developed through organizational innovation and innovation of collaborative processes with users.

scholarly journals Retrofitting Existing Web Applications with Effective Dynamic Protection Against SQL Injection Attacks

2010 ◽  
Vol 1 (1) ◽  
pp. 20-40 ◽  
Author(s):  
San-Tsai Sun ◽  
Konstantin Beznosov
Keyword(s):  
Web Applications ◽  
False Positives ◽  
Sql Injection ◽  
Injection Attacks ◽  
Track Parameter ◽  
Effective Dynamic ◽  
Protection Mechanisms ◽  
Sql Injection Attacks ◽  
Application Developers ◽  
Parameter Values

This article presents an approach for retrofitting existing Web applications with run-time protection against known, as well as unseen, SQL injection attacks (SQLIAs) without the involvement of application developers. The precision of the approach is also enhanced with a method for reducing the rate of false positives in the SQLIA detection logic, via runtime discovery of the developers’ intention for individual SQL statements made by Web applications. The proposed approach is implemented in the form of protection mechanisms for J2EE, ASP.NET, and ASP applications. Named SQLPrevent, these mechanisms intercept HTTP requests and SQL statements, mark and track parameter values originating from HTTP requests, and perform SQLIA detection and prevention on the intercepted SQL statements. The AMNESIA testbed is extended to contain false-positive testing traces, and is used to evaluate SQLPrevent. In our experiments, SQLPrevent produced no false positives or false negatives, and imposed a maximum 3.6% performance overhead with 30 milliseconds response time for the tested applications.

scholarly journals Testing approaches to visualize land cover/land use changes in time series with Web GIS microservice tools

2021 ◽  
Vol 4 ◽  
pp. 1-8
Author(s):  
Jesse Friend ◽  
Mathias Jahnke ◽  
Niels Walen ◽  
Gernot Ramminger
Keyword(s):  
Land Use ◽  
Time Series ◽  
Spatial Data ◽  
Web Applications ◽  
Land Use Changes ◽  
Web Gis ◽  
End User ◽  
Gis Application ◽  
Data Presentation ◽  
High Functioning

Abstract. Web applications which are high functioning, efficient, and meet the performance demand of the client are essential in modern cartographic workflows. With more and more complex spatial data being integrated into web applications, such as time related features, it is essential to harmonize the means of data presentation so that the end product is aligned with the needs of the end-user. In this paper we present aWeb GIS application built as a microservice which displays various timeseries visualizations to the user to streamline intuitiveness and functionality. The prototype provides a solution which could help to understand various ways in which current web and spatial analysis methods can be combined to create visualizations that add value to existing spatial data for cartographic workflows.

Using Recommendation Systems to Adapt Gameplay

2011 ◽  
pp. 64-77 ◽  
Author(s):  
Ben Medler
Keyword(s):  
Web Application ◽  
Web Applications ◽  
Recommendation Systems ◽  
User Preferences ◽  
The Other ◽  
User Input ◽  
Data Intensive ◽  
Other Hand ◽  
Research Communities ◽  
Game Developers

Recommendation systems are key components in many Web applications (Amazon, Netflix, eHarmony). Each system gathers user input, such as the products they buy, and searches for patterns in order to determine user preferences and tastes. These preferences are then used to recommend other content that a user may enjoy. Games on the other hand are often designed with a one-size-fits-all approach not taking player preferences into account. However there is a growing interest in both the games industry and game research communities to begin incorporating systems that can adapt, or alter how the game functions, to specific players. This paper examines how Web application recommendation systems compare to current games that adapt their gameplay to specific players. The comparison shows that current games do not use recommendation methods that are data intensive or collaborative when adapting to players. Design suggestions are offered within this manuscript for how game developers can benefit from incorporating the lesser used recommendation methods.

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