Energy Use in the Media Cloud: Behaviour Change, or Technofix?

Preist, Chris; Shabajee, Paul

doi:10.1109/cloudcom.2010.40

Cited by 24 publications

(34 citation statements)

References 6 publications

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“…In fact, mobile networks can be especially energy intensive when delivering video content [24]. Whilst there has been some discussion of how to manage and reduce the volumes of data more generally -including user feedback, reducing video resolution depending on context, improving web design and caching [18,24] -this has not so far considered mobile devices in particular and how they are used.…”

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confidence: 98%

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Demand in My Pocket

Lord

Hazas

Clear

et al. 2015

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

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This paper empirically explores the role that mobile devices have come to play in everyday practice, and how this links to demand for network connectivity and online services. After a preliminary device-logging period, thirteen participants were interviewed about how they use their iPhones or iPads. Our findings build a picture of how, through use of such devices, a variety of daily practices have come to depend upon a working data connection, which sometimes surges, but is at least always a trickle. This aims to inform the sustainable design of applications, services and infrastructures for smartphones and tablets. By focusing our analysis in this way, we highlight a littleexplored challenge for sustainable HCI and discuss ideas for (re)designing around the principle of 'light-weight' data 'needs'.

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confidence: 98%

“…[5,6,[22][23][24]) and exploring possible future trends (e.g. [4,18]). However, much uncertainly remains: Coroama and Hilty [5] show four orders of magnitude (1000 times) difference among estimates of Internet-related energy demand, expressed in kilowatt-hours per gigabyte.…”

mentioning

confidence: 99%

Demand in My Pocket

Lord

Hazas

Clear

et al. 2015

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

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“…streaming media, uploading videos and photos for family) and performed pre-loading and uploading when they had more persistent connections at work or in public Wifi areas. Pre-loading of content has been suggested by several researchers for reducing demand at peak times [1], [28]. Xander and Willow's experience shows that while the pre-loading of content is inconvenient and requires additional effort, it still allows them to enjoy watching TV.…”

Section: Reflecting On Growthmentioning

confidence: 99%

“…With the growth in on-demand media, especially in during peak demand hours 8 we suggest that designers should adopt a sensibility whereby 'background' streaming of certain content is 'wasteful'-similar to people now knowing not to leave lights on when they leave a room. Drawing inspiration from strategies suggested by Preist and Shabajee [28], 'wasteful' demand could be targeted to reduce digital waste. This could be an opportunity to re-evaluate caching on local devices, prioritising playback of cached media instead of new content (e.g.…”

Section: A Attending To Growth Of On-demand Media From Background Tasksmentioning

confidence: 99%

Exploring (un)sustainable growth of digital technologies in the home

Bates¹,

Lord²,

Knowles³

et al. 2015

Advances in Computer Science Research

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Abstract-HCI and Ubicomp research often centres around the support of humans interacting with digital technology. Despite this obvious focus, there seems to be less work on understanding how these digital technologies can lead to growth in use, dependence, and influence practices in everyday life. In this paper we discuss how digital technologies have been, and continue to be, adopted in domestic practices-and how the growth of interactions with various ecologies of digital technologies can lead to growth in use and energy consumption. We further the discussion within ICT4S and sustainable HCI on how to promote research that encourages sustainability as a core concern-socially, economically, and ecologically-emphasising that defining limits to growth are important when trying to affect change in sustainable directions. We echo calls for more significant sustainability research from HCI, and set out some avenues of design for moving in this direction.

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“…This means that content and services are increasingly offered online over a "cloud": video material uploaded and downloaded through YouTube, on-demand TV programs through apps such as the BBC iPlayer, books and maps through Google, news through newspaper and TV channel sites, music downloads through iTunes, audio and video connectivity through Skype, music streaming through Spotify, and so on. Moreover, the rise of social networking sites has encouraged uploading and sharing of material causing informal viral publicity to spread the information about interesting or amusing media quickly [3].…”

Section: Introductionmentioning

confidence: 99%

A Systems Thinking View on Cloud Computing and Energy Consumption

Sedlačko¹,

Martinuzzi²,

Dobernig³

2014

Advances in Computer Science Research

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Cloud Computing is often regarded as form of "green computing". However, the growth of cloud computing also goes hand in hand with an increasing demand for energy, caused by a continuously growing demand for content, data-intensive applications and bandwidth. The debates on the energy implications of the substantial shift to cloud computing among industry experts, researchers and civil society organizations mainly focus on stand-alone aspects of this shift, whereas a comprehensive view on the whole system, its inter-relations and driving forces are still rare.In the course of an EU-funded project (www.SCP-RESPONDER.eu) the syntax of causal loop diagrams and analytical tools of system dynamics has been used to develop a system map of the diverse effect pathways that a shift to cloud computing may have on energy consumption. The map was developed in an iterative participatory expert consultation process involving 25 experts from industry, research and policymaking. The map allows for integrating different strands of knowledge, shedding light on the dynamics of the whole system and identifying leverage points for business strategies as well as policy interventions. It shows that the effects on overall energy consumption depend on (1) relative strengths of the individual effect pathways which are, inter alia, (2) dependent on energy efficiency gains achieved through a broad diversity of measures in very different areas, while (3) the key drivers of the whole system are economy of scales (through reductions of service cost per unit) and (4) new user needs for data-intensive services. While some experts perceive these dynamics as typical rebound effects (increased efficiency is compensated by growth), others regard them as success strategies for individual businesses and the sector as a whole. Both groups share the view that service reliability, privacy and security of cloud services are the most important leverage points of the whole system. Furthermore, even if, through the growth of data-intensive services, the shift to cloud computing would cause growth of the overall energy consumption, this increase might potentially be off-set by thirdorder effects in the form of savings in the areas of mobility or housing (e.g. teleworking).

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Energy Use in the Media Cloud: Behaviour Change, or Technofix?

Cited by 24 publications

References 6 publications

Demand in My Pocket

Demand in My Pocket

Exploring (un)sustainable growth of digital technologies in the home

A Systems Thinking View on Cloud Computing and Energy Consumption

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