The problem of making smartphone batteries last longer could see a resolution with WALDIO.
One of the most common and still unresolved problems in the daily use of smartphones is battery life.
In fact, it seems almost impossible to extend the autonomy of one’s device, especially if it is used quite actively, and therefore not for long periods in “Stand-by” mode.
Even when resorting to the most classic battery-saving tips – from lowering screen brightness to disabling Wi-Fi network or data connection searches – we often find ourselves with a dead smartphone and no possibility of recharging.
It is no coincidence that “spare batteries” or “power banks” abound everywhere, extra accessories to connect to the terminal to get some much-desired autonomy.
Not to mention that the continuous resorting to even partial recharges deteriorates the battery itself more quickly.
Today, interesting news arrives directly from Hanyang University, an institution located in South Korea. A system called WALDIO (Write Ahead Logging Direct IO) is being developed that would allow batteries to last 40% longer than the current average.
According to the researchers involved in the WALDIO project, the read and write operations that we make our devices perform would degrade the memory and worsen overall performance.
The goal of the staff at work is therefore to minimize these operations – including rewriting new data on “spaces” previously used for deleted files – thereby achieving longer battery life and, at the same time, 20% improved processor performance in terms of operating speed.
In any case, the principle could be applied more extensively and generally, affecting the very operation of writing and managing data that ends up on hard drives, so the implications could soon become much broader, not just related to smartphones and tablets.
However, at the time of writing, it is not possible to know if, how, and when Hanyang University’s study will find actual commercial outlets and therefore real daily application. It is unknown whether this tool will be usable by device manufacturing companies or if it will remain only an academic study.
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