A low-power, lightweight unit to provide ubiquitous information access application and network support for InfoPad

Narayanaswamy, S.; Seshan, Srinivasan; Amir, Eyal; Brewer, Eric; Brodersen, R.W.; Burghardt, Fred; Burstein, Aaron J.; Chang, Yuan-Chi; Fox, Armando; Gilbert, Judy B.; Han, Richard; Long, Allan Christian; Messerschmitt, David G.; Rabaey, Jan M.

doi:10.1109/98.490749

Cited by 40 publications

(9 citation statements)

References 8 publications

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“…Most closely to our work is [31], [37]- [41]. These works examine load splitting where processing is split between Mobile Station and Application Server.…”

Section: Related Workmentioning

confidence: 96%

Network-Assisted Mobile Computing with Optimal Uplink Query Processing

Chan¹,

Bambos²,

Singh³

2013

IEEE Trans. on Mobile Comput.

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Abstract-Many mobile applications retrieve content from remote servers via user generated queries. Processing these queries is often needed before the desired content can be identified. Processing the request on the mobile devices can quickly sap the limited battery resources. Conversely, processing user-queries at remote servers can have slow response times due communication latency incurred during transmission of the potentially large query. We evaluate a network-assisted mobile computing scenario where midnetwork nodes with "leasing" capabilities are deployed by a service provider. Leasing computation power can reduce battery usage on the mobile devices and improve response times. However, borrowing processing power from mid-network nodes comes at a leasing cost which must be accounted for when making the decision of where processing should occur. We study the tradeoff between battery usage, processing and transmission latency, and mid-network leasing. We use the dynamic programming framework to solve for the optimal processing policies that suggest the amount of processing to be done at each mid-network node in order to minimize the processing and communication latency and processing costs. Through numerical studies, we examine the properties of the optimal processing policy and the core tradeoffs in such systems.

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“…Most closely to our work is [31], [37]- [41]. These works examine load splitting where processing is split between Mobile Station and Application Server.…”

Section: Related Workmentioning

confidence: 96%

Network-Assisted Mobile Computing with Optimal Uplink Query Processing

Chan¹,

Bambos²,

Singh³

2013

IEEE Trans. on Mobile Comput.

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“…APIs such as Advanced Configuration and Power Interface [32] and power management analysis tools such as Power Monitor [31] are being developed to assist software developers in creating programs that are more power conserving. For load partitioning, challenged by power and bandwidth constraints, applications may be selectively partitioned between the mobile and base station [53,74]. Impact of power efficiency on database systems is also widely addressed [4,29].…”

Section: At the Level Of Network Protocolsmentioning

confidence: 99%

Energy Efficient Methods and Techniques for Mobile Computing

Nanya

2007

Third International Conference on Semantics, Knowledge and Grid (SKG 2007)

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“…Techniques similar to those discussed in this paper may also be applied to the OS, transport and network layers of the protocol. A possible direction for energy reduction, not discussed in adequate detail in this article, is to transfer as many of the software functions as possible out of the terminal to the network [Weiser et al, 1994;Narayanaswamy et al, 1996].…”

Section: Discussionmentioning

confidence: 99%

“…Thus, most of the power intensive computations of an application are executed at the base station and the mobile host plays the role of an intelligent terminal for displaying and acquiring multimedia data [Narayanaswamy et al, 1996]. Another means of managing low power and bandwidth for applications on mobile clients is to use proxies.…”

Section: Application Layermentioning

confidence: 99%

“…Challenged by power and bandwidth constraints applications can be selectively partitioned between the mobile and base stations [Weiser et al, 1994;Narayanaswamy et al, 1996]. Thus, most of the power intensive computations of an application are executed at the base station and the mobile host plays the role of an intelligent terminal for displaying and acquiring multimedia data [Narayanaswamy et al, 1996].…”

Section: Application Layermentioning

confidence: 99%

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Energy Efficient Protocols for Wireless Systems

Agrawal

The International Series in Engineering and Computer Science

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This paper summarizes recent advances in energy efficient and low power design of networking protocols. We focus on the MAC (Medium Access Control) and application layers of the protocol stack. Of the five MAC protocols studied, EC-MAC has the best energy efficiency. EC-MAC also offers the best scalability with respect to the number of mobile terminals being serviced, as its energy consumption remains bounded.Power conservation techniques discussed for processing multimedia information at the application layer include transferring majority of the processing out of the terminal and into the network, tolerably deteriorating the video quality to lower data rates, and selectively discarding video frames.

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A low-power, lightweight unit to provide ubiquitous information access application and network support for InfoPad

Cited by 40 publications

References 8 publications

Network-Assisted Mobile Computing with Optimal Uplink Query Processing

Network-Assisted Mobile Computing with Optimal Uplink Query Processing

Energy Efficient Methods and Techniques for Mobile Computing

Energy Efficient Protocols for Wireless Systems

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