Eduardo Oliveros

A Real-time Service Oriented Infrastructure

The advancements in distributed computing have driven the emergence of service-based infrastructures that allow for on-demand provision of ICT assets. Taking into consideration the complexity of distributed environments, significant challenges exist in providing and managing the offered on-demand resources with the required level of Quality of Service (QoS), especially for real-time interactive and streaming applications. In this paper we propose an approach for providing real-time QoS guarantees by enhancing service oriented infrastructures with coherent and consistent real-time attributes at various levels (application, network, storage, processing). The approach considers the full lifecycle of service-based systems including service engineering, Service Level Agreement (SLA) negotiation and management, service provisioning and monitoring. QoS parameters at application, platform and infrastructure levels are given specific attention as the basis for provisioning policies in the context of temporal constraints

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

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.

Taxonomy and State of the Art of Service Discovery Mechanisms and Their Relation to the Cloud Computing Stack

Service Discovery mechanisms are gaining interest in the last years due to the growing bulk of information available, especially to distributed computing infrastructures like Grids and Clouds. However a vast number of characteristics of these implementations exist, each one suitable for a number of purposes. The aim of this chapter is to extract a taxonomy of these characteristics found in modern Service Discovery systems and produce a categorization of existing implementations in a grouped and comparative way, based on these features. Furthermore, the mapping of these characteristics to the Cloud business model is produced, in order to assist in selecting the suitable solutions for each provider based on his/her location in the value chain or identify gaps in the existing implementations.