Energy Consumption in Mobile Phones¶
Balasubramanian, N., Balasubramanian, A., & Venkataramani, A. (2009). Energy Consumption in Mobile Phones: A Measurement Study and Implications for Network Applications. Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement (IMC '09), 280-293.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Batch Processing
- The transfers are concrete operational recipes, because the cost-asymmetry-and-latency-trade structure is the same wherever a fixed setup is amortised over grouped items. Setup-reduction into personal productivity: the manufacturing insight that reducing setup cost enables small batches and just-in-time flow transfers to personal work, where reducing the cost of starting a focused session makes small batches of focused work economic rather than locking in an all-day batch. Grouped-commit into low-power device design: the data-systems insight that batching disk flushes amortises seek cost transfers to mobile and sensor devices, where batching radio transmissions amortises the per-wakeup energy cost — a major battery-life lever — because both amortise a fixed per-operation cost over grouped work.
This sourceThe TailEnder study: 3G/GSM radios incur large tail energy, so batching/scheduling transmissions amortizes the per-wakeup energy cost — a major battery-life lever.
Supported in partVerified against the publisher's abstract
The TailEnder abstract shows 3G/GSM tail energy makes scheduling/batching transfers an energy lever, but gives no per-wakeup-cost amortisation, disk-flush analogy, or sensor devices.
“We find that 3G and GSM incur a high tail energy overhead because of lingering in high power states after completing a transfer.”
- The transfers are concrete operational recipes, because the cost-asymmetry-and-latency-trade structure is the same wherever a fixed setup is amortised over grouped items. Setup-reduction into personal productivity: the manufacturing insight that reducing setup cost enables small batches and just-in-time flow transfers to personal work, where reducing the cost of starting a focused session makes small batches of focused work economic rather than locking in an all-day batch. Grouped-commit into low-power device design: the data-systems insight that batching disk flushes amortises seek cost transfers to mobile and sensor devices, where batching radio transmissions amortises the per-wakeup energy cost — a major battery-life lever — because both amortise a fixed per-operation cost over grouped work.
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Registry ID ref:669f3604235b · see in the full table