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In this paper, we present a power/energy profiling framework for collecting and analyzing energy consumption data in compute clouds. We implement a prototype of our profiling framework and test it in a cloud computing environment. By measuring the power/ energy consumption with various combinations of system configuration and settings, we build knowledge of the extent to which each factor influences...
Energy consumption is a concern with mobile de-vices nowadays. Network interfaces are among the most power hungry components in these devices. In this paper, we describe the design and implementation of a client-centric protocol for energy efficiency. Inspired by earlier work, our protocol works by exploiting the TCP flow-control mechanism to shape incoming traffic into bursts in order to utilize...
The reduction of energy consumption in large-scale datacenters is being accomplished through an extensive use of virtualization, which enables the consolidation of multiple workloads in a smaller number of machines. Nevertheless, virtualization also incurs some additional overheads (e.g. virtual machine creation and migration) that can influence what is the best consolidated configuration, and thus,...
With the growing interest of cloud computing and carbon emission reduction, how to build energy efficient cloud architecture becomes a crisis issue for service providers. In this paper, we propose a power-aware cloud architecture based on DRBL (Diskless Remote Boot in Linux), cpufreqd and xenpm. We also introduce a low-cost smart metering system based on open hardware Arduino board. Composing with...
In this point-counterpoint discussion, Trevor Mudge argues for the combination of near-threshold voltage processors with techniques such as boosting to address the needs of datacenter workloads. Urs Hölzle offers a cautionary note on the wisdom of giving up too much single-threaded performance to achieve energy-efficiency in large Internet service applications.
Although most large-scale systems are designed with the network as a central component, the interconnection network's energy consumption has received little attention. However, several software and hardware approaches can increase the interconnection network's power efficiency by using the network more efficiently or using throttling bandwidths to reduce the power consumption of unneeded resources.
Sharing resources such as caches and main memory bandwidth in multi-core systems requires a more sophisticated scheduling scheme. PAM is a low-overhead, user-level meta-scheduler which does not require any hardware or software changes. In particular, it operates by detecting resource congestions and providing guidelines to the standard system scheduler by limiting the assignment of processes to subsets...
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