Titlebook: Controlling Energy Demand in Mobile Computing Systems; Carla Schlatter Ellis Book 2007 Springer Nature Switzerland AG 2007

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https://doi.org/10.1007/978-3-663-05879-3single device, exploiting the idle time offered by the access pattern for the device. We describe examples of policies that, given a workload, answer the questions of when to power down to a lower power state and when to power back up to a higher power state. Finally, we consider techniques for enha

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https://doi.org/10.1007/978-3-663-05879-3tage together is that it provides quadratic energy savings with only a linear performance cost, as explained in Section 2.1.3. Table 2.2 gives several examples of processor chips with voltage scaling capabilities. In current practice, these features are used in simple policies such as setting voltag

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,Künftige Formen der variablen Vergütung,t device, this chapter discusses the interactions and tradeoffs among the power management policies of multiple devices. There are both negative and positive implications in considering multiple devices. We illustrate how the power management on one component of a system may have a negative impact o

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,Künftige Formen der variablen Vergütung,nd side of the energy story. It has highlighted some of the significant contributions that have been made to our understanding of how to manage device power consumption and influence workload demand to save energy and prolong battery life. There is a growing appreciation that further advances in ene

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,Multiple Devices—Interactions and Tradeoffs,n overall energy consumption or motivate policy changes for another device. Opportunities exist in systems that make choices among alternative devices on the basis of energy consumption (e.g., remote versus local computation, storage on flash versus disk). Finally, we introduce research efforts that focus on whole-system energy management.

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Energy-Aware Application Code,rns. Then we discuss actions that the applications can take to adapt their resource demand. Finally, we consider some challenges for application development and algorithm design specifically aimed at greater energy efficiency. The shaded portions of Fig. 6.1 show the new features covered in this chapter and provide context for the discussion.

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Book 2007goal of extending the lifetime of battery-powered devices, has emerged as a fundamental challenge in mobile computing and wireless communication. The focus of this lecture is on a systems approach where software techniques exploit state-of-the-art architectural features rather than relying only upon