scholarly journals Reputation management in collaborative computing systems

2009 ◽  
Vol 3 (6) ◽  
pp. 546-564 ◽  
Author(s):  
Alvaro E. Arenas ◽  
Benjamin Aziz ◽  
Gheorghe Cosmin Silaghi
Keyword(s):  
Reputation Management ◽  
Collaborative Computing ◽  
Computing Systems

Toward a Usage-Based Security Framework for Collaborative Computing Systems

2008 ◽  
Vol 11 (1) ◽  
pp. 1-36 ◽  
Author(s):  
Xinwen Zhang ◽  
Masayuki Nakae ◽  
Michael J. Covington ◽  
Ravi Sandhu
Keyword(s):  
Collaborative Computing ◽  
Security Framework ◽  
Computing Systems

A Novel Energy Saving Approach through Mobile Collaborative Computing Systems

2012 ◽  
pp. 661-676
Author(s):  
Xiaoxin Wu ◽  
Huan Chen ◽  
Yaoda Liu ◽  
Wenwu Zhu
Keyword(s):  
Energy Saving ◽  
Energy Savings ◽  
Transmission Rate ◽  
Handheld Devices ◽  
Collaborative Computing ◽  
Computing Systems ◽  
Collaborative System ◽  
Video Frames ◽  
Long Time ◽  
Save Energy

Energy saving has been studied widely in both of computing and communication research communities. For handheld devices, energy is becoming a more and more critical issue because lots of applications running on handhelds today are computation or communication intensive and take a long time to finish. Unlike previous work that proposes computing or communication energy solutions alone, this paper proposes a novel energy savings approach through mobile collaborative systems, which jointly consider computing and communication energy cost. In this work, the authors use streaming video as investigated application scenario and propose multi-hop pipelined wireless collaborative system to decode video frames with a requirement for maximum inter-frame time. To finish a computing task with such a requirement, this paper proposes a control policy that can dynamically adapt processor frequency and communication transmission rate at the collaborative devices. The authors build a mathematical energy model for collaborative computing systems. Results show that the collaborative system helps save energy, and the transmission rate between collaborators is a key parameter for maximizing energy savings. The energy saving algorithm in computing devices is implemented and the experimental results show the same trend.

A Novel Energy Saving Approach through Mobile Collaborative Computing Systems

2012 ◽  
pp. 90-104
Author(s):  
Xiaoxin Wu ◽  
Huan Chen ◽  
Yaoda Liu ◽  
Wenwu Zhu
Keyword(s):  
Energy Saving ◽  
Energy Savings ◽  
Transmission Rate ◽  
Handheld Devices ◽  
Collaborative Computing ◽  
Computing Systems ◽  
Collaborative System ◽  
Video Frames ◽  
Long Time ◽  
Save Energy

Energy saving has been studied widely in both of computing and communication research communities. For handheld devices, energy is becoming a more and more critical issue because lots of applications running on handhelds today are computation or communication intensive and take a long time to finish. Unlike previous work that proposes computing or communication energy solutions alone, this paper proposes a novel energy savings approach through mobile collaborative systems, which jointly consider computing and communication energy cost. In this work, the authors use streaming video as investigated application scenario and propose multi-hop pipelined wireless collaborative system to decode video frames with a requirement for maximum inter-frame time. To finish a computing task with such a requirement, this paper proposes a control policy that can dynamically adapt processor frequency and communication transmission rate at the collaborative devices. The authors build a mathematical energy model for collaborative computing systems. Results show that the collaborative system helps save energy, and the transmission rate between collaborators is a key parameter for maximizing energy savings. The energy saving algorithm in computing devices is implemented and the experimental results show the same trend.

A Novel Energy Saving Approach through Mobile Collaborative Computing Systems

2010 ◽  
Vol 1 (2) ◽  
pp. 1-16
Author(s):  
Xiaoxin Wu ◽  
Huan Chen ◽  
Yaoda Liu ◽  
Wenwu Zhu
Keyword(s):  
Energy Saving ◽  
Energy Savings ◽  
Transmission Rate ◽  
Control Policy ◽  
Critical Issue ◽  
Handheld Devices ◽  
Collaborative Computing ◽  
Computing Systems ◽  
Collaborative System ◽  
Save Energy

Energy saving has been studied widely in both of computing and communication research communities. For handheld devices, energy is becoming a more and more critical issue because lots of applications running on handhelds today are computation or communication intensive and take a long time to finish. Unlike previous work that proposes computing or communication energy solutions alone, this paper proposes a novel energy savings approach through mobile collaborative systems, which jointly consider computing and communication energy cost. In this work, the authors use streaming video as investigated application scenario and propose multi-hop pipelined wireless collaborative system to decode video frames with a requirement for maximum inter-frame time. To finish a computing task with such a requirement, this paper proposes a control policy that can dynamically adapt processor frequency and communication transmission rate at the collaborative devices. The authors build a mathematical energy model for collaborative computing systems. Results show that the collaborative system helps save energy, and the transmission rate between collaborators is a key parameter for maximizing energy savings. The energy saving algorithm in computing devices is implemented and the experimental results show the same trend.

Artefact in 20Å-Resolution Electron Images of Negatively Stained Twodimensional Membrane Protein Crystals

1982 ◽  
Vol 40 ◽  
pp. 92-93
Author(s):  
Douglas L. Dorset ◽  
Barbara Moss
Keyword(s):  
Electron Scattering ◽  
Cross Correlation ◽  
Transmission Function ◽  
Group Symmetry ◽  
Asymmetric Structure ◽  
Object Model ◽  
Phase Object ◽  
Computing Systems ◽  
Resolution Electron ◽  
Plane Group

A number of computing systems devoted to the averaging of electron images of two-dimensional macromolecular crystalline arrays have facilitated the visualization of negatively-stained biological structures. Either by simulation of optical filtering techniques or, in more refined treatments, by cross-correlation averaging, an idealized representation of the repeating asymmetric structure unit is constructed, eliminating image distortions due to radiation damage, stain irregularities and, in the latter approach, imperfections and distortions in the unit cell repeat. In these analyses it is generally assumed that the electron scattering from the thin negativelystained object is well-approximated by a phase object model. Even when absorption effects are considered (i.e. “amplitude contrast“), the expansion of the transmission function, q(x,y)=exp (iσɸ (x,y)), does not exceed the first (kinematical) term. Furthermore, in reconstruction of electron images, kinematical phases are applied to diffraction amplitudes and obey the constraints of the plane group symmetry.

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