SeaClouds: An Open Reference Architecture for Multi-Cloud Governance

A. Brogi, J. Carrasco, J. Cubo, F. D'Andria, E. Di Nitto, M. Guerriero, D. Pérez, E. Pimentel, J. Soldani. "SeaClouds: An Open Reference Architecture for Multi-Cloud Governance". In B. Tekinerdogan et al. (Eds.): ECSA 2016, LNCS 9839, pp. 334–338, 2016.We present the open reference architecture of the SeaClouds solution. It aims at enabling a seamless adaptive multi-cloud management of complex applications by supporting the distribution, monitoring and reconfiguration of app modules over heterogeneous cloud providers.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

A Hierarchical Receding Horizon Algorithm for QoS-driven control of Multi-IaaS Applications

open4noCloud Computing is emerging as a major trend in ICT industry. However, as with any new technology, new major challenges lie ahead, one of them con- cerning the resource provisioning. Indeed, modern Cloud applications deal with a dynamic context that requires a continuous adaptation process in order to meet sat- isfactory Quality of Service (QoS) but even the most titled Cloud platform provide just simple rule-based tools; the rudimentary autoscaling mechanisms that can be carried out may be unsuitable in many situations as they do not prevent SLA vio- lations, but only react to them. In addition, these approaches are inherently static and cannot catch the dynamic behavior of the application. This situation calls for advanced solutions designed to provide Cloud resources in a predictive and dy- namic way. This work presents capacity allocation algorithms, whose goal is to minimize the total execution cost, while satisfying some constraints on the average response time of Cloud based applications. We propose a receding horizon con- trol technique, which can be employed to handle multiple classes of requests. An extensive evaluation of our solution against an Oracle with perfect knowledge of the future and well-known heuristics presented in the literature is provided. The analysis shows that our solution outperforms the heuristics producing results very close to the optimal ones, and reducing the number of QoS violations (in the worst case we violated QoS constraints for only 8 minutes over a day versus up to 260 minutes of other approaches). Furthermore, a sensitivity analysis over two differ- ent time scales indicates that finer grained time scales are more appropriate for spiky workloads, whereas smooth traffic conditions are better handled by coarser grained time scales. Our analytical results are validated through simulation, which shows also the impact on our solution of Cloud environment random perturbations. Finally, experiments on a prototype environment demonstrate the effectiveness of our approach under real workloads.openDanilo Ardagna, Michele Ciavotta, Riccardo Lancellotti, Michele GuerrieroArdagna, Danilo; Ciavotta, Michele; Lancellotti, Riccardo; Guerriero, Michel

A Hierarchical Receding Horizon Algorithm for QoS-driven control of Multi-IaaS Applications

Cloud Computing is emerging as a major trend in ICT industry. However, as with any new technology, new major challenges lie ahead, one of them con- cerning the resource provisioning. Indeed, modern Cloud applications deal with a dynamic context that requires a continuous adaptation process in order to meet sat- isfactory Quality of Service (QoS) but even the most titled Cloud platform provide just simple rule-based tools; the rudimentary autoscaling mechanisms that can be carried out may be unsuitable in many situations as they do not prevent SLA vio- lations, but only react to them. In addition, these approaches are inherently static and cannot catch the dynamic behavior of the application. This situation calls for advanced solutions designed to provide Cloud resources in a predictive and dy- namic way. This work presents capacity allocation algorithms, whose goal is to minimize the total execution cost, while satisfying some constraints on the average response time of Cloud based applications. We propose a receding horizon con- trol technique, which can be employed to handle multiple classes of requests. An extensive evaluation of our solution against an Oracle with perfect knowledge of the future and well-known heuristics presented in the literature is provided. The analysis shows that our solution outperforms the heuristics producing results very close to the optimal ones, and reducing the number of QoS violations (in the worst case we violated QoS constraints for only 8 minutes over a day versus up to 260 minutes of other approaches). Furthermore, a sensitivity analysis over two differ- ent time scales indicates that finer grained time scales are more appropriate for spiky workloads, whereas smooth traffic conditions are better handled by coarser grained time scales. Our analytical results are validated through simulation, which shows also the impact on our solution of Cloud environment random perturbations. Finally, experiments on a prototype environment demonstrate the effectiveness of our approach under real workloads

[Effectiveness of school-based interventions to prevent traffic accidents: an overview of secondary literature].

INTRODUZIONE: gli incidenti stradali sono l'ottava causa di morte al mondo e la prima tra i giovani di 15-29 anni. In Italia il Piano nazionale sicurezza stradale raccomanda l'educazione scolastica per la prevenzione degli incidenti stradali; ad oggi non esistono documenti che raccolgano evidenze di efficacia sugli interventi educativi stradali e le rapportino al contesto italiano. OBIETTIVI: riassumere e discutere ciò che è noto in letteratura riguardo agli interventi scolastici per la prevenzione degli incidenti stradali. METODI: sono state ricercate linee guida e revisioni sistematiche usando i seguenti criteri di inclusione: popolazione di età inferiore ai 25 anni di entrambi i sessi; interventi scolastici di educazione stradale; effetti su indicatori primari di esito come riduzione degli incidenti stradali, astinenza dalla guida sotto l'effetto di alcol e dall'accettare passaggi in macchina da guidatori che sono sotto l'effetto di alcol; effetti su indicatori secondari di esito come conoscenze e competenze sui comportamenti di guida sicura. RISULTATI: sono state identificate due revisioni sistematiche. L'educazione stradale nelle scuole non mostra evidenza di efficacia (rischio relativo 1,03; IC95% 0,98-1,08) nel ridurre gli incidenti. Programmi scolastici più specifici mostrano risultati solo in parte convincenti per l'adozione di comportamenti sicuri come l'astinenza dal guidare sotto l'effetto di alcol e dall'accettare passaggi in macchina da guidatori che sono sotto l'effetto di alcol. DISCUSSIONE: le revisioni incluse non hanno trovato programmi efficaci nella riduzione degli incidenti stradali o dei fattori che possano determinarli. Nell'attesa di studi più recenti, appare opportuno promuovere l'implementazione di interventi misti, scolastici e di comunità, che hanno mostrato maggiori prove di efficacia

Coalition Formation and the Ancillary Benefits of Climate Policy

Several studies found ancillary benefits of environmental policy to be of considerable size. These additional private benefits imply not only higher cooperative but also noncooperative abatement targets. However, beyond these largely undisputed important quantitative effects, there are qualitative and strategic implications associated with ancillary benefits: climate policy is no longer a pure but an impure public good. In this paper, we investigate these implications in a setting of non-cooperative coalition formation. In particular, we address the following questions. 1) Do ancillary benefits increase participation in international environmental agreements? 2) Do ancillary benefits raise the success of these treaties in welfare terms