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Dive into the research topics where Georgina Gallizo is active.

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Featured researches published by Georgina Gallizo.


ieee international conference on services computing | 2011

Building a Service-Oriented Monitoring Framework with REST and Nagios

Gregory Katsaros; Roland Kübert; Georgina Gallizo

Over the past years services computing has become an emerging science that is highly regarded as a necessary technology not only by research but by industry as well. In the same context, the advent of cloud computing gave to services and web applications a whole new perspective and potential. Regardless of the rapid evolution in the fields of services and web technologies, ensuring the QoS of computing resources still remains an important topic. To this end, monitoring computing resources and application execution is an integral part of the services computing value chain. In this paper we present the architectural design and implementation of a service framework that monitors the resources of a physical as well as virtual infrastructure. Our solution extends Nagios, a widely used monitoring toolkit, through the implementation of NEB2REST, a Restful Event Brokering module.


web intelligence, mining and semantics | 2011

Large knowledge collider: a service-oriented platform for large-scale semantic reasoning

Matthias Assel; Alexey Cheptsov; Georgina Gallizo; Irene Celino; Daniele Dell'Aglio; Luka Bradesko; Michael J. Witbrock; Emanuele Della Valle

Recent advances in the Semantic Web community have yielded a variety of reasoning methods used to process and exploit semantically annotated data. However, most of those methods have only been approved for small, closed, trustworthy, consistent, and static domains. Still, there is a deep mismatch between the requirements for reasoning on a Web scale and the existing efficient reasoning algorithms over restricted subsets. This paper describes the pilot implementation of LarKC -- the Large Knowledge Collider, a platform, which focuses on supporting large-scale reasoning over billions of structured data in heterogeneous data sets. The architecture of LarKC allows for an effective combination of techniques coming from different Semantic Web domains by following a service-oriented approach, supplied by sustainable infrastructure solutions.


international conference on intelligence in next generation networks | 2010

The network aspect of Infrastructure-as-a-Service

Karsten Oberle; Manuel Stein; Thomas Voith; Georgina Gallizo; Roland Kübert

Current service platform offers that provide Infrastructure as a Service (IaaS) do not adequately meet the requirements expressed by interactive real-time services. Online application response times can not yet be enforced in virtual infrastructures without service level objectives (SLOs) that meet virtual machine interconnection constraints. This paper presents a framework spanning from the service description model over the IaaS platform interface for service level agreement (SLA) negotiation to the management of virtual network resources in an IaaS environment.


international conference on cloud computing and services science | 2012

An Integrated Monitoring Infrastructure for Cloud Environments

Gregory Katsaros; Georgina Gallizo; Roland Kübert; Tinghe Wang; J. Oriol Fitó; Daniel Espling

As Cloud Computing evolves to becoming a major technological paradigm of our times, topics like Quality of Service (QoS) assurance and resource monitoring will remain active fields of investigation and research. Mechanisms that will allow the Consumers as well as the Providers to monitor the operation of the application into the Cloud or the Cloud itself are of great importance for the long-term adoption of this technology. In this paper we propose an architectural solution of an integrated monitoring infrastructure for Cloud environments. The mechanism is based on a multi-level design of a collection as well as a management layer. The collection functionality supports information coming from the physical, virtual and service infrastructures. By exploiting open source APIs combined with custom components we have come up with a generic yet efficient solution, applicable to public, private and hybrid Cloud scenarios.


software engineering and advanced applications | 2010

A Path Supervision Framework A Key for Service Monitoring in Infrastructure as a Service (IaaS) Platforms

Thomas Voith; Karsten Oberle; Manuel Stein; Eduardo Oliveros; Georgina Gallizo; Roland Kübert

current service platforms, e.g. Cloud solutions, do not adequately address the requirements exposed from certain kind of services like real-time services. Infrastructure as a Service Platform (IaaS) supporting these service requirements, such as quality of service of the resources provided, heavily depend on measurements in order to be able to verify that the quality of service as contracted in a service level agreement (SLA) towards the IaaS platform is kept on service layer. This paper presents the concept of a path supervision framework in the context of virtualized service infrastructures, such as IaaS platforms, spanning over use cases for service monitoring and measurement methodology. Moreover, the overall monitoring framework supporting the guaranteed execution of real-time services in such an execution environment is presented.


conferencia latinoamericana en informatica | 2012

Evaluation of monitoring tools for cloud computing environments

Yosandra Sandoval; Georgina Gallizo; Mariela Curiel

Among the advances that the world of distributed computing has had, one must take into account the emergence of new paradigms such as Cloud Computing. The Cloud Computing Model integrates and offers to users several computational resources as a service, on demand. The Cloud model is supported by technologies such as Grid Computing, virtualization and Web 2.0. The monitoring is a very complex issue in this model, due to the particular characteristics of supporting platform. Furthermore, research in this topic has been rather poor. Our research work focuses on Monitoring in Cloud Computing platforms, particularly in private and hybrid. Part of the work presented in this article has been done within the context of the OPTIMIS and BonFIRE projects. The goal of this work is to evaluate existing monitoring tools that can be used in Cloud environments and subsequently included in the monitoring component of the projects.


Handbook on Data Centers | 2015

CoolEmAll: Models and Tools for Planning and Operating Energy Efficient Data Centres

Micha vor dem Berge; Jochen Buchholz; Leandro Fontoura Cupertino; Georges Da Costa; Andrew Donoghue; Georgina Gallizo; Mateusz Jarus; Lara Lopez; Ariel Oleksiak; Enric Pages; Wojciech Piątek; Jean-Marc Pierson; Tomasz Piontek; Daniel Rathgeb; Jaume Salom; Laura Sisó; Eugen Volk; Uwe Wössner; Thomas Zilio

The need to improve how efficiently data centre operate is increasing due to the continued high demand for new data centre capacity combined with other factors such as the increased competition for energy resources. The financial crisis may have dampened data centre demand temporarily, but current projections indicate strong growth ahead. By 2020, it is estimated that annual investment in the construction of new data centres will rise to


ambient intelligence | 2008

Realizing Context Aware Collaborations Using Grids

Stefan Wesner; Georgina Gallizo; Alexander Kipp; Matthias Assel

50bn in the US, and


international conference on ontology matching | 2009

Parallelization and distribution techniques for ontology matching in urban computing environments

Axel Tenschert; Matthias Assel; Alexey Cheptsov; Georgina Gallizo; Emanuele Della Valle; Irene Celino

220bn worldwide [23].


Archive | 2009

Service Level Agreements in Virtualised Service Platforms

Georgina Gallizo; Roland Kuebert; Karsten Oberle; Andreas Menychtas; Kleopatra Konstanteli

A wide range of mechanisms for providing context information and changes are available. In this position paper the authors outline potential collaborative application scenarios from three different EC research projects and how Grids can support the realization of adaptive and context aware collaborations using Grid concepts.

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Gregory Katsaros

National Technical University of Athens

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