Entity

Time filter

Source Type

Milano, Italy

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). Source


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. Source


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. Source


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. Source


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. Source

Discover hidden collaborations