CloudSwap: A Cloud-Assisted Swap Mechanism for Mobile Devices

Chae, Dongju; Kim, Joonsung; Kim, Youngsok; Kim, Jangwoo; Chang, Kyung Hwan; Suh, Sang-Bum; Lee, Hyogun

doi:10.1109/ccgrid.2016.22

Cited by 8 publications

(3 citation statements)

References 11 publications

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“…In contrast, if an app does not have the function of saving its context, their scheme supports swap, thereby saving the context in the swap area before removing its memory pages. Chae et al proposed cloud-swap for smartphones by making use of cloud or server storage as a swap partition [26].…”

Section: Related Workmentioning

confidence: 99%

Storage Type and Hot Partition Aware Page Reclamation for NVM Swap in Smartphones

Yoon¹,

Cho²,

Bahn³

2022

Electronics

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With the rapid advances in mobile app technologies, new activities using smartphones emerge every day including social network and location-based services. However, smartphones experience problems in handling high priority tasks, and often close apps without the user’s agreement when there is no available memory space. To cope with this situation, supporting swap with fast NVM storage has been suggested. Although swap in smartphones incurs serious slowing-down problems in I/O operations during saving and restoring the context of apps, NVM has been shown to resolve this problem due to its fast I/O features. Unlike previous studies that only focused on the management of NVM swap itself, this article discusses how the memory management system of smartphones can be further improved with NVM swap. Specifically, we design a new page reclamation algorithm for smartphone memory systems, which considers the following: (1) storage types of each partition (i.e., file system for flash storage and swap for NVM), and (2) access hotness of each partition including operation types and workload characteristics. By considering asymmetric I/O cost and access density for each partition, our algorithm improves the I/O performance of smartphones significantly. Specifically, it improves the I/O time by 15.0% on average and by up to 35.1% compared to the well-known CLOCK algorithm.

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Section: Related Workmentioning

confidence: 99%

Storage Type and Hot Partition Aware Page Reclamation for NVM Swap in Smartphones

Yoon¹,

Cho²,

Bahn³

2022

Electronics

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“…They attempt to swap out all pages in the working set of a process to the zRAM swap space rather than killing the process selected by the low-memory killer, and swap out the least recently used pages into the secondary storage swap space. Chae et al suggest CloudSwap as a swap mechanism for mobile devices by utilizing remote storage as a swap area [29]. Zhu et al present the SwapBench to evaluate various swapping schemes, specifically focusing on the two performance measures, the application launch time and the application switch time on Android smartphones [30].…”

Section: Related Workmentioning

confidence: 99%

Maintaining Application Context of Smartphones by Selectively Supporting Swap and Kill

Kim

Bahn

2020

IEEE Access

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With the rapid diffusion of smartphones as well as the technical advances in mobile platform technologies, application domains supported by smartphones have dramatically increased. Unlike traditional computer systems, however, the context of applications may be lost in a smartphone as mobile OS usually kills applications without user's approval when free memory space is exhausted. This was not a serious issue when a smartphone was a personal entertainment device, but it is now significant as a lot of official works are also performed by a smartphone. Instead of killing a process, the context of an application can be backed up to swap storage, but smartphones do not accept it as swap incurs excessively heavy I/O traffic. However, our findings show that the overhead of swap is not serious in recent smartphone devices and it can also be eliminated by judicious software management. This article proposes a selective swap scheme that classifies applications based on their context-saving characteristics, and controls the number of processes involved in swap by monitoring system situations and application characteristics. That is, we maintain the context of applications selectively by swap or application's own state-saving. We implement and measure the effectiveness of our scheme on a real Android device, showing that it provides the context-savings of applications without additional overhead.

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“…The Cloudswap scheme evicts read-intensive pages to local storage and write-intensive pages to cloud storage to extend the life span of flash memory secondary storage [31]. Fundamentally, it is similarly to the hybrid swap approach.…”

Section: B Swap Schemes For Mobile Devicesmentioning

confidence: 99%

$ezswap$ : Enhanced Compressed Swap Scheme for Mobile Devices

Kim

Seo

2019

IEEE Access

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The limited memory capacity of mobile devices leads to the popular use of compressed swap schemes, which reduce the I/O operations involving the swapping in and out of infrequently accessed pages. However, most of the current compressed swap schemes indiscriminately compress and store all swap-out pages. Considering that both energy and computing power are scarce resources in mobile devices, and modern applications frequently deal with already-compressed multimedia data, this blind approach may cause adverse impacts. In addition, they focus only on anonymous pages and not on file-mapped pages, because the latter are backed by on-disk files. However, our observations revealed that, in mobile devices, file-mapped pages consume significantly more memory than anonymous pages. Last but not least, most of the current compressed swap schemes blindly follow the least-recently-used (LRU) discipline when choosing the victim pages for replacement, not considering the compression ratio or data density of the cached pages. To overcome the aforementioned problems and maximize the memory efficiency, we propose a compressed swap scheme, called enhanced zswap (ezswap), for mobile devices. ezswap accommodates not only anonymous pages, but also clean file-mapped pages. It estimates the compression ratio of incoming pages with their information entropy, and selectively compresses and caches the pages only with beneficial compression ratios. In addition, its admission control and cache replacement algorithms are based on a costbenefit model that considers not only the access recency of cached pages but also their information density and expected eviction cost. The proposed scheme was implemented in the Linux kernel for Android. Our evaluation with a series of commercial applications demonstrated that it reduced the amount of flash memory read by up to 55%, thereby improving the application launch time by up to 22% in comparison to the original zswap.

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CloudSwap: A Cloud-Assisted Swap Mechanism for Mobile Devices

Cited by 8 publications

References 11 publications

Storage Type and Hot Partition Aware Page Reclamation for NVM Swap in Smartphones

Storage Type and Hot Partition Aware Page Reclamation for NVM Swap in Smartphones

Maintaining Application Context of Smartphones by Selectively Supporting Swap and Kill

$ezswap$ : Enhanced Compressed Swap Scheme for Mobile Devices

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