Exploring patterns of social commonality among file directories at work

Tang, John C.; Drews, Clemens; Smith, Mark A.; Wu, Fei; Sue, Alison; Lau, Tessa

doi:10.1145/1240624.1240769

Cited by 22 publications

(16 citation statements)

References 18 publications

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“…Moreover, similar observations have been made and reported in the literature. J. C. Tang et al [25] have found that about 54% of files are duplicate ones among the members of an organization, accounting for 32% of the total storage space , and a negligibly small fraction of files are similar ones among them. Microsoft's file metadata study results [12] show that users locally contribute to a decreasing fraction of their systems' content while file copies from others contribute to an increasing fraction.…”

Section: Global/localmentioning

confidence: 99%

SAM: A Semantic-Aware Multi-tiered Source De-duplication Framework for Cloud Backup

Tan

Jiang

Feng

et al. 2010

2010 39th International Conference on Parallel Processing

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Existing de-duplication solutions in cloud backup environment either obtain high compression ratios at the cost of heavy de-duplication overheads in terms of increased latency and reduced throughput, or maintain small de-duplication overheads at the cost of low compression ratios causing high data transmission costs, which results in a large backup window. In this paper, we present SAM, a Semantic-Aware Multitiered source de-duplication framework that first combines the global file-level de-duplication and local chunk-level deduplication, and further exploits file semantics in each stage in the framework, to obtain an optimal tradeoff between the deduplication efficiency and de-duplication overhead and finally achieve a shorter backup window than existing approaches. Our experimental results with real world datasets show that SAM not only has a higher de-duplication efficiency/overhead ratio than existing solutions, but also shortens the backup window by an average of 38.7%.

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Section: Global/localmentioning

confidence: 99%

SAM: A Semantic-Aware Multi-tiered Source De-duplication Framework for Cloud Backup

Tan

Jiang

Feng

et al. 2010

2010 39th International Conference on Parallel Processing

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“…File sharing is widely used in various fields such as media sharing, computer network and protocol issues Christin et al (2005); Johnson et al (2009). Tang et al propose the "LiveWire" and "Consolidarity" project using common files of enterprise users to make file sharing easier Tang et al (2007) which invents a prototype file manager revealing file sharing activity Whalen et al (2008). There are also some filesharing systems.…”

Section: Related Workmentioning

confidence: 99%

File sharing in cloud computing using win stay lose shift strategy

Wang

Susilo

et al. 2015

IJHPCN

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Traditionally, users in clouds are assumed to be willing to store and share files in clouds, where the security and efficiency issues are discussed. However, few studies involve the incentives to share files in clouds. In this paper, we delve into users' incentives for using the cloud system to store and share their files towards the view of game theory. More specifically, the process of file sharing is reduced to an infinitely repeated prisoner's dilemma PD game and the action of sharing files in clouds is considered as the action of cooperation in the infinitely repeated PD game. We incorporate win stay lose shift WSLS strategy into file sharing and simulate it compared with tit-for-tat TFT strategy in clouds. Simulation results show that WSLS is an optimal strategy for users to share their files in clouds. Furthermore, WSLS is robust for unintentional deviation and returns to mutual cooperation after deviation. Abstract: File sharing in clouds means that users store and share their files in clouds, which can greatly improve the utilization rate of the files. Traditionally, users in clouds are assumed to be willing to store and share their files in clouds, where the security and efficiency issues are discussed. However, little works involve the incentives for users to share files in clouds. That is, why user are willing to share files in clouds. In this paper, we delve into users' incentives for using the cloud system to store and share their files towards the view of game theory. More specifically, the process of file sharing is reduced to an infinitely repeated prisoner's dilemma (PD) game and the action of sharing files in clouds is considered as the action of cooperation in the infinitely repeated PD game. The main task of this paper is to find proper strategies such that users in clouds have incentives to share their files with others. To complete this task, we incorporate Win-Stay-Lose-Shift (WSLS) strategy into file sharing and simulate it compared with Tit-for-Tat (TFT) strategy in clouds. Simulation results show that WSLS is an optimal strategy for users to share their files in clouds. That is, the rounds needed for users to adopt cooperation when they take WSLS are fewer than those when they take TFT. Furthermore, WSLS is robust for unintentional deviation and returns to mutual cooperation after deviation. However, TFT is not robust for unintentional deviation. Thus WSLS is better than TFT for users to share files in clouds.Keywords: File sharing, Win stay lose shift strategy, Game theory, Cloud computing. Qiuliang Xu is a Professor and doctoral supervisor of computer science and technology at Shandong University. Currently he is a sub-decanal of department of science and technology at Shandong University. He has long-term research on theoretical study of information security, cryptology etc. He has published more than 30 high-quality papers in the most famous academic publications in recent five years. Now he is a chair of Nation Science Foundation of China and other foundations.

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“…We excluded system files as these are not actively organized by the targets themselves [32]. Based on the different applications that our targets used, personal files were defined by inclusion as: Microsoft office files (e.g.…”

Section: Profiling Targets and Generating Structural Information Frommentioning

confidence: 99%

PIM and personality

Massey

TenBrook

Tatum

et al. 2014

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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Individual differences are prevalent in personal information management (PIM). There is large variation between individuals in how they structure and retrieve information from personal archives. These differences make it hard to develop general PIM tools. However we know little about the origins of these differences. We present two studies evaluating whether differences arise from personality traits, by exploring whether different personalities structure personal archives differently. The first exploratory study asks participants to identify PIM cues that signal personality traits. While the aim was to identify cues, these cues also proved surprisingly accurate indicators of personality. In a second study, to evaluate these cues, we directly measure relations between structure and traits. We demonstrate that Conscientiousness predicts file organization, particularly PC users' desktops. Neurotic people may also keep more desktop files. One implication is that systems might be customized for different personalities. We also advance personality theory, showing that personal digital artifacts signal personality.

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Exploring patterns of social commonality among file directories at work

Cited by 22 publications

References 18 publications

SAM: A Semantic-Aware Multi-tiered Source De-duplication Framework for Cloud Backup

SAM: A Semantic-Aware Multi-tiered Source De-duplication Framework for Cloud Backup

File sharing in cloud computing using win stay lose shift strategy

PIM and personality

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