Modeling the Operation of an Adaptive Computing System Based on FGPN for Case Risk Management

Author(s):  
Aleksey Senkov ◽  
Evgenii Sorokin
2015 ◽  
Vol 23 (8) ◽  
pp. 1402-1414 ◽  
Author(s):  
Qiang Liu ◽  
Terrence Mak ◽  
Tao Zhang ◽  
Xinyu Niu ◽  
Wayne Luk ◽  
...  

Author(s):  
C. G. Almudever ◽  
A. Rubio ◽  
J. Martin-Martinez ◽  
A. Crespo-Yepes ◽  
R. Rodriguez ◽  
...  

2015 ◽  
pp. 788-808
Author(s):  
Mouna Jouini ◽  
Latifa Ben Arfa Rabai

Cloud computing is a growing technology used by several organizations because it presents a cost effective policy to manage and control Information Technology (IT). It delivers computing services as a public utility rather than a personal one. However, despite these benefits, it presents many challenges including access control and security problems. In order to assess security risks, the paper gives an overview of security risk management metrics. Then, it illustrates the use of a cyber security measure to describe an economic security model for cloud computing system. Moreover, it proposes a cloud provider business model for security issues. Finally, the paper shows a solution related to the vulnerabilities in cloud systems using a new quantitative metric to reduce the probability that an architectural components fails. The main aim of this article is to quantify security threats in cloud computing environments due to security breaches using a new security metric.


2006 ◽  
Vol 4 ◽  
pp. 231-236 ◽  
Author(s):  
O. A. Pfänder ◽  
H.-J. Pfleiderer ◽  
S. W. Lachowicz

Abstract. The importance of reconfigurable hardware is increasing steadily. For example, the primary approach of using adaptive systems based on programmable gate arrays and configurable routing resources has gone mainstream and high-performance programmable logic devices are rivaling traditional application-specific hardwired integrated circuits. Also, the idea of moving from the 2-D domain into a 3-D design which stacks several active layers above each other is gaining momentum in research and industry, to cope with the demand for smaller devices with a higher scale of integration. However, optimized arithmetic blocks in course-grain reconfigurable arrays as well as field-programmable architectures still play an important role. In countless digital systems and signal processing applications, the multiplication is one of the critical challenges, where in many cases a trade-off between area usage and data throughput has to be made. But the a priori choice of word-length and number representation can also be replaced by a dynamic choice at run-time, in order to improve flexibility, area efficiency and the level of parallelism in computation. In this contribution, we look at an adaptive computing system called 3-D-SoftChip to point out what parameters are crucial to implement flexible multiplier blocks into optimized elements for accelerated processing. The 3-D-SoftChip architecture uses a novel approach to 3-dimensional integration based on flip-chip bonding with indium bumps. The modular construction, the introduction of interfaces to realize the exchange of intermediate data, and the reconfigurable sign handling approach will be explained, as well as a beneficial way to handle and distribute the numerous required control signals.


Author(s):  
Chul Kim ◽  
Alex Rassau ◽  
Stefan Lachowicz ◽  
Saeid Nooshabadi ◽  
Kamran Eshraghian

Author(s):  
David Mortimer ◽  
Sharon T. Mortimer
Keyword(s):  

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