Security and Performance Tradeoff Analysis of Mobile Offloading Systems Under Timing Attacks

2015 ◽  
pp. 32-46 ◽  
Author(s):  
Tianhui Meng ◽  
Katinka Wolter ◽  
Qiushi Wang
Keyword(s):  
Tradeoff Analysis ◽  
And Performance ◽  
Mobile Offloading ◽  
Timing Attacks ◽  
Performance Tradeoff

Design and performance tradeoff analysis of floating point datapath in LTE downlink control channel receiver

2014 ◽  
Author(s):  
S. Syed Ameer Abbas ◽  
S. Susithra ◽  
D. Shanmuga Priya ◽  
S.J. Thiruvengadam
Keyword(s):  
Control Channel ◽  
Floating Point ◽  
Tradeoff Analysis ◽  
And Performance ◽  
Performance Tradeoff

Cost and Performance Tradeoff Analysis in Radio and Mixed-Signal System-on-Package Design

2004 ◽  
Vol 27 (2) ◽  
pp. 364-375 ◽  
Author(s):  
L.-R. Zheng ◽  
X. Duo ◽  
M. Shen ◽  
W. Michielsen ◽  
H. Tenhunen
Keyword(s):  
Signal System ◽  
Mixed Signal ◽  
Package Design ◽  
Tradeoff Analysis ◽  
And Performance ◽  
Performance Tradeoff

Emitter resistance and performance tradeoff of submicrometer self-aligned double-polysilicon bipolar devices

1988 ◽  
Vol 35 (12) ◽  
pp. 2397-2405 ◽  
Author(s):  
T. Yamaguchi ◽  
Y.-C.S. Yu ◽  
V.F. Drobny ◽  
A.M. Witkowski
Keyword(s):  
Bipolar Devices ◽  
And Performance ◽  
Performance Tradeoff

Managing Function Constraints in Design Sheet™

1998 ◽  
Author(s):  
Sudhakar Y. Reddy ◽  
Kenneth W. Fertig
Keyword(s):  
Optimization Problems ◽  
Systems Of Nonlinear Equations ◽  
Graph Theoretic ◽  
Constraint Management ◽  
Constraint Network ◽  
Design Variables ◽  
Large Systems ◽  
And Performance ◽  
Design Cost ◽  
Performance Tradeoff

Abstract Design Sheet™ is a constraint management system specially designed for doing conceptual design cost and performance tradeoff studies. It represents the design models as constraints between design variables, and uses graph-theoretic algorithms to decompose large systems of nonlinear equations into smaller pieces that can be solved robustly. This paper describes extensions to Design Sheet that enable it to manage functions as variables in a constraint network. The paper also discusses the new capabilities of function encapsulation and explicit differentiation that are built on top of these extensions. The ability to encapsulate a part of the constraint network into a function, and use it in other constraints, promotes model reuse and improves computational efficiency. The capability to automatically differentiate certain variables with respect to other design variables allows Design Sheet to be used for solving practical optimization problems. In combination with the tradeoff capability, this enables the designer to track changing optima in trade studies. The paper also provides a couple of optimization examples to demonstrate these new capabilities.

Control of Time-Delay Systems Using Robust Fractional-Order Control and Robust Smith Predictor Based Control

2005 ◽  
Author(s):  
Patrick Lanusse ◽  
Alain Oustaloup
Keyword(s):  
Time Delay ◽  
Fractional Order ◽  
Control Plant ◽  
Smith Predictor ◽  
Delay Systems ◽  
Time Delay Systems ◽  
Robust Controller ◽  
Fractional Order Control ◽  
And Performance ◽  
Performance Tradeoff

Many modifications have been proposed to improve the Smith predictor structure used to control plant with time-delay. Some of them have been proposed to enhance the robustness of Smith predictor based controllers. They are often based on the use of deliberately mismatched model of the plant and then the IMC method can be used to tune the controller. This paper compares the performance of two Smith predictor based controllers including a mismatched model to the performance provided by a fractional order Crone controller which is well known for managing well the robustness and performance tradeoff. It is shown that even if it can simplify the design of (robust) controller, the use of an improved Smith predictor is not necessary to obtain good performance.

Resource and Performance Tradeoff for Task Scheduling of Parallel Reconfigurable Architectures

2019 ◽  
Vol 29 (02) ◽  
pp. 2050029 ◽  
Author(s):  
Chi-Chou Kao
Keyword(s):  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Optimal Scheduling ◽  
Reconfigurable Architectures ◽  
Limited Resources ◽  
Physical Systems ◽  
Relaxation Algorithm ◽  
And Performance ◽  
Minimum Performance ◽  
Performance Tradeoff

In this paper, we propose a resource/performance tradeoff algorithm for task scheduling of parallel reconfigurable architectures. First, it uses unlimited resources to generate an optimal scheduling algorithm. Then, a relaxation algorithm is applied to satisfy the number of resources under increasing minimum performance. To demonstrate the performance of the proposed algorithm, we not only compare the existing methods with standard benchmarks but also implement on physical systems. The experimental results show that the proposed algorithms satisfy the requirements of the systems with limited resources.

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