Italy Innovation Center

Milano, Italy

Italy Innovation Center

Milano, Italy
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Sabella D.,Telecom Italia | De Domenico A.,French Atomic Energy Commission | Katranaras E.,University of Surrey | Imran M.A.,University of Surrey | And 5 more authors.
IEEE Access | Year: 2015

This paper focuses on energy efficiency aspects and related benefits of radio-access-network-as-a-service (RANaaS) implementation (using commodity hardware) as architectural evolution of LTE-advanced networks toward 5G infrastructure. RANaaS is a novel concept introduced recently, which enables the partial centralization of RAN functionalities depending on the actual needs as well as on network characteristics. In the view of future definition of 5G systems, this cloud-based design is an important solution in terms of efficient usage of network resources. The aim of this paper is to give a vision of the advantages of the RANaaS, to present its benefits in terms of energy efficiency and to propose a consistent system-level power model as a reference for assessing innovative functionalities toward 5G systems. The incremental benefits through the years are also discussed in perspective, by considering technological evolution of IT platforms and the increasing matching between their capabilities and the need for progressive virtualization of RAN functionalities. The description is complemented by an exemplary evaluation in terms of energy efficiency, analyzing the achievable gains associated with the RANaaS paradigm. © 2015 IEEE.


Botero J.F.,Polytechnic University of Catalonia | Klingert S.,University of Mannheim | Hesselbach-Serra X.,Polytechnic University of Catalonia | Falcone A.,Italy Innovation Center | Guiliani G.,Italy Innovation Center
SMARTGREENS 2013 - Proceedings of the 2nd International Conference on Smart Grids and Green IT Systems | Year: 2013

This paper describes how eco-motivated extensions added to the traditional SLA concept can provide levels of flexibility in the data centre management that enable the data centre to reduce the energy consumption, improve the environmental footprint and lower internal costs. A close collaboration with both the IT customer and the data centre's energy provider are key to this approach which is formalized by means of the GreenSLA concept building on the three main components: Flexibility, GreenKPIs and collaboration. Performance decisions regarding the energy consumed by the services are taken and translated to actions to be executed to save energy while at the same time guaranteeing the contract agreements.


Agusti-Torra A.,Polytechnic University of Catalonia | Raspall F.,Polytechnic University of Catalonia | Remondo D.,Polytechnic University of Catalonia | Rincon D.,Polytechnic University of Catalonia | Giuliani G.,Italy Innovation Center
Ad Hoc Networks | Year: 2015

The increasing awareness of the impact of the IT sector on the environment, together with economic factors, have fueled many research efforts to reduce the energy expenditure of data centers. Recent work proposes to achieve additional energy savings by exploiting, in concert with customers, service workloads and to reduce data centers' carbon footprints by adopting demand-response mechanisms between data centers and their energy providers. In this paper, we debate about the incentives that customers and data centers can have to adopt such measures and propose a new service type and pricing scheme that is economically attractive and technically realizable. Simulation results based on real measurements confirm that our scheme can achieve additional energy savings while preserving service performance and the interests of data centers and customers. © 2014 Elsevier B.V. All rights reserved.


Klingert S.,University of Mannheim | Niedermeier F.,University of Passau | Dupont C.,CREATE-NET | Giuliani G.,Italy Innovation Center | And 2 more authors.
Communications in Computer and Information Science | Year: 2015

In Europe, more and more cities are aiming to become part of the “smart cities” vision. Smart Cities are based on a plethora of sensor data which need to be processed in data centres. Therefore data centres play an important role in making cities smart. However, at the same time they are huge consumers of electrical energy and thus counteract smart cities’ goals of an IT based low carbon economy. The project DC4Cities takes up the challenge of turning data centres into flexible energy consumers that to a high degree run on renewable energy sources. It offers a technical solution for optimizing the share of renewables in data centre energy consumption and supports this by novel contracts and business models. This paper introduces power management options between data centres and a smart city which are backed by adaptation strategies within the data centre. It also presents a set of contracts that complement the technical solution and a trial evaluation of the approach. © Springer International Publishing Switzerland 2015.


Cascella R.G.,French Institute for Research in Computer Science and Automation | Blasi L.,Italy Innovation Center | Jegou Y.,French Institute for Research in Computer Science and Automation | Coppola M.,CNR Institute of Information Science and Technologies Alessandro Faedo | Morin C.,French Institute for Research in Computer Science and Automation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

Cloud computing market is in rapid expansion due to the opportunities to dynamically allocate a large amount of resources when needed and to pay only for their effective usage. However, many challenges, in terms of interoperability, performance guarantee, and dependability, should still be addressed to make cloud computing the right solution for companies. In this chapter we first discuss these challenges and then we present three components developed in the framework of the Contrail project: Contrail federation; SLA manager; and Virtual Execution Platform (VEP). These components provide solutions to guarantee interoperability in a cloud federation and to deploy distributed applications over a federation of heterogeneous cloud providers. The key to success of our solutions is the possibility to negotiate performance and security guarantees for an application and then map them on the physical resources. © The Author(s).


Klingert S.,University of Mannheim | Niedermeier F.,University of Passau | Dupont C.,CREATE-NET | Giuliani G.,Italy Innovation Center | And 2 more authors.
SMARTGREENS 2015 - 4th International Conference on Smart Cities and Green ICT Systems, Proceedings | Year: 2015

Data centres are important players in smart cities both as IT service providers and as energy consumers. Integrating intermittent renewable energy sources into the local power grid is one challenge in future smart cities aiming at an IT based low carbon economy. The project DC4Cities takes up this challenge by offering a both technical and business related solution for optimizing the share of local renewable power sources when operating data centres in smart cities. To this end, power management options between the data centre and the smart city together with internal adaptation strategies for data centres are introduced. Finally, an implementation of the suggested approach is presented and evaluated in a simulation.


Basmadjian R.,University of Passau | Ali N.,University of Passau | Niedermeier F.,University of Passau | De Meer H.,University of Passau | Giuliani G.,Italy Innovation Center
ACM International Conference Proceeding Series | Year: 2012

Until recently, there have been relatively few studies exploring the power consumption of ICT resources in data centres. In this paper, we propose a methodology to capture the behaviour of most relevant energy-related ICT resources in data centres and present a generic model for them. This is achieved by decomposing the design process into four modelling phases. Furthermore, unlike the state-of-the-art approaches, we provide detailed power consumption models at server and storage levels. We evaluate our model for different types of servers and show that it suffers from an error rate of 2% in the best case, and less than 10% in the worst case. Copyright 2011 ACM.


Basmadjian R.,University of Passau | Meer H.D.,University of Passau | Lent R.,Imperial College London | Giuliani G.,Italy Innovation Center
Journal of Cloud Computing | Year: 2012

Background: Cloud computing data centres, due to their housing of powerful ICT equipment, are high energy consumers and therefore accountable for large quantities of emissions. Therefore, energy saving strategies applicable to such data centres are a very promising research direction both from the economical and environmental stand point. Results: In this paper, we study the case of private cloud computing environments from the perspective of energy saving incentives. However, the proposed approach can also be applied to any computing style: cloud (both public and private), traditional and supercomputing. To this end, we provide a generic conceptual description for ICT resources of a data centre and identify their corresponding energy-related attributes. Furthermore, we give power consumption prediction models for servers, storage devices and network equipment. We show that by applying appropriate energy optimisation policies guided through accurate power consumption prediction models, it is possible to save about 20% of energy consumption when typical single-site private cloud data centres are considered. Conclusion: Minimising the data centre's energy consumption, on one hand acknowledges the potential of ICT for saving energy across many segments of the economy, on the other hand helps ICT sector to show the way for the rest of the economy by reducing its own carbon footprint. In this paper, we show that it is possible to save energy by studying the case of a single-site private cloud data centres. We believe that through the federation of several cloud data centres (both private and public), it is possible to minimise both the energy consumption as well as CO2 emissions. © 2012 Basmadjian et al.


Dupont C.,CREATE-NET | Giuliani G.,Italy Innovation Center | Hermenier F.,French Institute for Research in Computer Science and Automation | Schulze T.,University of Mannheim | Somov A.,CREATE-NET
Proceedings of the 3rd International Conference on Future Energy Systems: "Where Energy, Computing and Communication Meet", e-Energy 2012 | Year: 2012

Data centres are powerful ICT facilities which constantly evolve in size, complexity, and power consumption. At the same time users' and operators' requirements become more and more complex. However, existing data centre frameworks do not typically take energy consumption into account as a key parameter of the data centre's configuration. To lower the power consumption while fulfilling performance requirements we propose a flexible and energy-aware framework for the (re)allocation of virtual machines in a data centre. The framework, being independent from the data centre management system, computes and enacts the best possible placement of virtual machines based on constraints expressed through service level agreements. The framework's flexibility is achieved by decoupling the expressed constraints from the algorithms using the Constraint Programming (CP) paradigm and programming language, basing ourselves on a cluster management library called Entropy. Finally, the experimental and simulation results demonstrate the effectiveness of this approach in achieving the pursued energy optimization goals. © 2012 ACM.


Dupont C.,CREATE-NET | Hermenier F.,University of Nice Sophia Antipolis | Schulze T.,University of Mannheim | Basmadjian R.,ONE LOGIC GmbH | And 2 more authors.
Ad Hoc Networks | Year: 2015

To maintain an energy footprint as low as possible, data centres manage their VMs according to conventional and established rules. Each data centre is however made unique due to its hardware and workload specificities. This prevents the ad hoc design of current VM managers from taking these particularities into account to provide additional energy savings. In this paper, we present Plug4Green, an energy-aware VM placement algorithm that can be easily specialized and extended to fit the specificities of the data centres. Plug4Green computes the placement of the VMs and state of the servers depending on a large number of constraints, extracted automatically from SLAs. The flexibility of Plug4Green is achieved by allowing the constraints to be formulated independently from each other but also from the power models. This flexibility is validated through the implementation of 23 SLA constraints and 2 objectives aiming at reducing either the power consumption or the greenhouse gas emissions. On a heterogeneous test bed, Plug4Green specialization to fit the hardware and the workload specificities allowed to reduce the energy consumption and the gas emission by up to 33% and 34%, respectively. Finally, simulations showed that Plug4Green is capable of computing an improved placement for 7500 VMs running on 1500 servers within a minute. © 2014 Elsevier B.V. All rights reserved.

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