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Data centers provision industry and end users with the necessary computing and communication resources to access the vast majority of services online and on a pay-as-you-go basis. In this paper, we study the problem of energy proportionality in data center networks (DCNs). Devices are energy proportional when any increase of the load corresponds to a proportional increase of energy consumption. In...
The continuous evolution of information and communication technology has led to a change in the adopted computing paradigms over time. Cloud computing is an emerging paradigm in which users, depending on their specific requirements, access to a shared pool of computing resources dynamically allocated. Cloud computing represents, with respect to Grid computing, the evolutionary step towards the implementation...
The cloud computing paradigm has recently emerged as a convenient solution for running different workloads on highly parallel and scalable infrastructures. One major appeal of cloud computing is its capability of abstracting hardware resources and making them easy to use. Conversely, one of the major challenges for cloud providers is the energy efficiency improvement of their infrastructures. Aimed...
There is a strong relationship between scientific research and technology advancement. The former generally focuses on studying phenomena happening in the real world, the latter improves tools that are at the basis of this research. From this perspective, information and communication technologies allow the implementation of ever faster tools for analyzing data generated by experiments. The aim of...
The adoption of Cloud computing involves many advantages in terms of flexibility, scalability and reliability, but also implies new challenges on security, data privacy and protection of personal data. Since more and more sensitive applications and data are moved to the cloud, the verification of the digital identity of the participants in the electronic communication has become a crucial challenge...
Studying the interplay between hydrodynamic instabilities and chemical reactions is attracting increasing interest because of its transversal impact ranging from fundamental to applied science. Depending on the case of study, the exploration of Reaction-Diffusion-Convection (RDC) dynamics over a significant spatio-temporal domain can be computationally expensive and convergence issues may arise in...
Power consumption is a primary concern for cloud computing data centers. Being the network one of the non-negligible contributors to energy consumption in data centers, several architectures have been designed with the goal of improving network performance and energy-efficiency. In this paper, we provide a comparison study of data center architectures, covering both classical two- and three-tier design...
Research centers performing biomedical research collide with the problem of the treatment of large amounts of data. Several scientific fields in biomedical adopt technologies that can analyze samples in a more accurate way thanks to the high granularity which the current equipment provide the results. The cloud computing technology allows to create scalable and flexible infrastructures and data management...
IDIPOS, that stands for Italian Database Infrastructure for Polar Observation Sciences, has been conceived to realize a feasibility study on infrastructure devoted to management of data coming from Polar areas. This framework adopted a modular approach identifying two main parts: the first one defines main components of infrastructure, and, the latter selects possible cloud solutions to manage and...
How to effectively manage increasingly complex enterprise computing environments is one of the hardest challenges that most organizations have to face in the era of cloud computing, big data and IoT. Advanced automation and orchestration systems are the most valuable solutions helping IT staff to handle large-scale cloud data centers. Containers are the new revolution in the cloud computing world,...
Data management for E-science applications need to adopt new platforms/services aiming at improving the interactions between users and data, through sharing, flexibility and resources availability. In the space weather domain, the DemoGRAPE project, under the GRAPE initiative (www.grape.scar.org), focuses on merging E-science and ICT to push forward international collaborations on Irregular Ionosphere...
High Performance Computing (HPC) is a valuable instrument in many areas of scientific research and industrial production. However, due to the high investment costs for its implementation, its diffusion is often restricted to large research centres or medium to large size industrial companies. The project HPC Cloud Pills aimed at exploring how the technologies of Cloud Computing can help to reduce...
The Electromagnetic Modeling (EM) is a mathematical technique widely used by company and scientists for the design of aircraft, satellites, ships and automobiles. Since the complexity and the level of details of the analyzed structures are typically very high, for running EM modeling software a huge quantity of computational resources is required, both in terms of memory and CPUs. On the other hand,...
As cloud computing adoption and deployment increase, the performance evaluation of the cloud environments is becoming very important. Cloud applications have different composition, configuration, and deployment requirements. Simulation and modeling techniques are suitable to quantify the performance of resource allocation policies and application scheduling algorithms in Cloud computing environments...
Data as a Service (DaaS) is among the latest kind of services being investigated in the Cloud computing community. The main aim of DaaS is to overcome limitations of state-of-the-art approaches in data technologies, according to which data is stored and accessed from repositories whose location is known and is relevant for sharing and processing. Besides limitations for the data sharing, current approaches...
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