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as the deceleration of processor scaling due to Moore's law accelerates research in new types of computing structures, the need arises for rethinking operating systems paradigms. Traditionally, an operating system is a layer between hardware and applications and its primary function is in managing hardware resources and providing a common abstraction to applications. How does this function apply,...
We review strategies for applying statistical inference to system design and management. In design, inferred models act as surrogates for expensive simulators and enable qualitatively new studies. In management, inferred models predict outcomes from allocation and scheduling decisions, and identify conditions that make performance stragglers more likely.
Exploiting computational resources within an organisation for more than their primary task offers great benefits -- making better use of capital expenditure and provides a pool of computational power. This can be achieved through the deployment of a cycle stealing distributed system, where tasks execute during the idle time on computers. However, if a task has not completed when a computer returns...
Energy consumption is an increasingly important consideration in computing. High-performance computing environments consume substantial amounts of energy, at an increasing financial and environmental cost. We explore the possibility of reducing the energy consumption of a grid of heterogeneous computers through appropriate resource allocation strategies. We examine a number of possible grid workload...
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