Peter Stuer

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Theodora Varvarigou

National Technical University of Athens

Andreas Menychtas

University of Piraeus

Leire Orue-Echevarria

Euskadiko Parke Teknologikoa

George Kousiouris

Harokopio University of Athens

Olivier Strauss

COMUE Languedoc-Roussillon Universités

Jesús Gorroñogoitia

Atos (Spain)

Tatiana Senkova

Fraunhofer Institute for Industrial Engineering

Hugo Brunelière

IMT Atlantique

Bram Pellens

Vrije Universiteit Brussel

Christina Santzaridou

National Technical University of Athens

Cooperative Institutions

National Technical University of Athens

National and Kapodistrian University of Athens

University of Piraeus

Vrije Universiteit Brussel

iMinds

Ingegneria dei Sistemi (Italy)

Engineering (Italy)

Informa (Italy)

Euskadiko Parke Teknologikoa

IMDEA Software

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Software modernization and cloudification using the ARTIST migration methodology and framework

Scalable Computing Practice and Experience (2014)

Andreas Menychtas Kleopatra Konstanteli Juncal Alonso Leire Orue-Echevarria Jesús Gorroñogoitia

Cloud computing has leveraged new software development and provisioning approaches by changing the way computing, storage and networking resources are purchased and consumed.The variety of cloud offerings on both technical and business level has considerably advanced the development process and established new business models and value chains for applications and services.However, the modernization and cloudification of legacy software so as to be offered as a service still encounters many challenges.In this work, we present a complete methodology and a methodology instantiation framework for the effective migration of legacy software to modern cloud environments.

10.12694/scpe.v15i2.980

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Citations (22)

Future Empathic Media Products

Mike Matton Bart De Wit Koen Willaert Ike Picone Peter Stuer

The broadcasting sector is facing challenging years. With the exponential growth of media content whilst consumers expect a high quality service, it is getting progressively more challenging to offer a personalized media experience. Media companies are continuously exploring novel ways to target their viewers with such a service. In this context, it is crucial for a broadcaster to get a better understanding of the targeted audience. In this paper we highlight how empathy is an essential ingredient for future personalized and interactive services and how it brings the consumer experience to an unprecedented level. Knowing how people experience different kinds of content is strategic information for a broadcaster. (Re)acting on this information potentially delivers better content targeting, enrichment and adaptation. We present an overview of the state-of-the art and how it is being applied in broadcasting. We illustrate this with a concrete example case of an empathic product and discuss the importance of empathic products for broadcasters. Additionally, we present the initial results of our own research projects.

10.1049/ibc.2013.0030

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Citations (1)

Software modernization and cloudification using the ARTIST migration methodology and framework

Andreas Menychtas Kleopatra Konstanteli Juncal Alonso Leire Orue-Echevarria Jesús Gorroñogoitia

10.12694/scpe.v15i2.938

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Citations (0)

ARTIST Methodology and Framework: A Novel Approach for the Migration of Legacy Software on the Cloud

Andreas Menychtas Christina Santzaridou George Kousiouris Theodora Varvarigou Leire Orue-Echevarria

Nowadays Cloud Computing is considered as the ideal environment for engineering, hosting and provisioning applications. A continuously increasing set of cloud-based solutions is available to application owners and developers to tailor their applications exploiting the advanced features of this paradigm for elasticity, high availability and performance. Although these offerings provide many benefits to new applications, they also incorporate constrains to the modernization and migration of legacy applications by obliging the use of specific technologies and explicit architectural design approaches. The modernization and adaptation of legacy applications to cloud environments is a great challenge for all involved stakeholders, not only from the technical perspective, but also in business level with the need to adapt the business processes and models of the modernized application that will be offered from now on, as a service. In this paper we present a novel model-driven approach for the migration of legacy applications in modern cloud environments which covers all aspects and phases of the migration process, as well as an integrated framework that supports all migration process.

Legacy system

Provisioning

Service-oriented modeling

Model-driven architecture

10.1109/synasc.2013.62

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Citations (40)

A Multi-Cloud Framework for Measuring and Describing Performance Aspects of Cloud Services Across Different Application Types

George Kousiouris Gabriele Giammatteo Athanasia Evangelinou Nunzio Andrea Galante Elton Kevani

Cloud services have emerged as an innovative IT provisioning model in the recent years. However, after their usage severe considerations have emerged with regard to their varying performance due to multitenancy and resource sharing issues. These issues make it very difficult to provide any kind of performance estimation during application design or deployment time. The aim of this paper is to present a mechanism and process for measuring the performance of various cloud services and describing this information in machine understandable format. The framework is responsible for organizing the execution and can support multiple cloud providers. Furthermore we present approaches for measuring service performance with the usage of specialized metrics for ranking the services according to a weighted combination of cost, performance and workload.

Provisioning

Shared resource

10.5220/0004975407140721

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Citations (3)

Experimenting with Application-Based Benchmarks on Different Cloud Providers via a Multi-cloud Execution and Modeling Framework

Communications in computer and information science (2015)

Athanasia Evangelinou Nunzio Andrea Galante George Kousiouris Gabriele Giammatteo Elton Kevani

Cloud services are emerging today as an innovative IT provisioning model, offering benefits over the traditional approach of provisioning infrastructure. However, the occurrence of multi-tenancy, virtualization and resource sharing issues raise certain difficulties in providing performance estimation during application design or deployment time. In order to assess the performance of cloud services and compare cloud offerings, cloud benchmarks are required. The aim of this paper is to present a mechanism and a benchmarking process for measuring the performance of various cloud service delivery models, while describing this information in a machine understandable format. The suggested framework is responsible for organizing the execution and may support multiple cloud providers. In our work context, benchmarking measurement results are demonstrated from three large commercial cloud providers, Amazon EC2, Microsoft Azure and Flexiant in order to assist with provisioning decisions for cloud users. Furthermore, we present approaches for measuring service performance with the usage of specialized metrics for ranking the services according to a weighted combination of cost, performance and workload.

Provisioning

Benchmarking

Multitenancy

10.1007/978-3-319-25414-2_14

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Citations (2)