Total Impact Points
Avg. Impact Points
Recent PublicationsView all
- [Show abstract] [Hide abstract]
ABSTRACT: Energy consumption of computing systems has become a major concern. Constrained by cost, environmental concerns and policy, minimising the energy foot-print of computing systems is one of the primary goals of many initiatives.As we move towards exascale computing, energy constraints become very real and are a major driver in design decisions. The issue is also apparent at the scale of desk top machines, where many core and accelerator chips are common and offer a spectrum of opportunities for balancing energy and performance.Conventionally, approaches for reducing energy consumption have been either at the operational level (such as powering down all or part of systems) or at the hardware design level (such as utilising specialised low-energy components). In this paper, we are interested in a different approach; energy-aware software. By measuring the energy consumption of a computer application and understanding where the energy usage lies, may allow a change of the software to provide opportunities for energy savings.In order to understand the complexities of this approach, we specifically look at multithreaded algorithms and applications. By an evaluation of a benchmark suite on multiple architectures and multiple environments, we show how basic parameters, such as threading options, compilers and frequencies, can impact energy consumption. As such, we provide an overview of the challenges that face software developers in this regard. We then offer a view of the directions that need to be taken and possible strategies needed for building energy-aware software.
Article: Publishing: Open citations
- [Show abstract] [Hide abstract]
ABSTRACT: Cloud computing has been increasingly adopted by users and providers to promote a flexible, scalable and tailored access to computing resources. Nonetheless, the consolidation of this paradigm has uncovered some of its limitations. Initially devised by corporations with direct control over large amounts of computational resources, cloud computing is now being endorsed by organizations with limited resources or with a more articulated, less direct control over these resources. The challenge for these organizations is to leverage the benefits of cloud computing while dealing with limited and often widely distributed computing resources. This study focuses on the adoption of cloud computing by higher education institutions and addresses two main issues: flexible and on-demand access to a large amount of storage resources, and scalability across a heterogeneous set of cloud infrastructures. The proposed solutions leverage a federated approach to cloud resources in which users access multiple and largely independent cloud infrastructures through a highly customizable broker layer. This approach allows for a uniform authentication and authorization infrastructure, a fine-grained policy specification and the aggregation of accounting and monitoring. Within a loosely coupled federation of cloud infrastructures, users can access vast amount of data without copying them across cloud infrastructures and can scale their resource provisions when the local cloud resources become insufficient.
Information provided on this web page is aggregated encyclopedic and bibliographical information relating to the named institution. Information provided is not approved by the institution itself. The institution’s logo (and/or other graphical identification, such as a coat of arms) is used only to identify the institution in a nominal way. Under certain jurisdictions it may be property of the institution.