Heterogeneous computing is a promising solution to scale the performance of computing systems maintaining energy and power efficiency. Managing such resources is, however, complex and it requires smart resource allocation strategies in both embedded and high-performance systems. In this short paper, we propose a game theory approach to allocate heterogeneous resources to applications, with a focus on performance, power, and energy requirements. The game congestion model has been selected and a cost function designed. The proposed allocation strategy is then evaluated by performing a preliminary experimental evaluation
The fundamental principle of multiuser diversity states that it is possible to achieve a significant...
Demand response (DR) has been widely recognized as an effective solution to help mitigate the stress...
Cloud computing is a newly emerging paradigm in which a client pays as it uses computing resources o...
Heterogeneous computing is a promising solution to scale the performance of computing systems mainta...
Power-aware computing is becoming popular using heterogeneous ecosystem. For recent execution units,...
In next-generation wireless networks, a user can be connected through MultiMode Device (MMD) to the ...
We propose an economics-oriented cloud computing resources allocation strategy with the use of game ...
The proposed infrastructure of the next generation wireless networks not only contains the centraliz...
AbstractWith the proliferation of mobile phone users, interference management is a big concern in th...
The problem of mapping tasks onto a computational grid with the aim to minimize the power consumptio...
In this chapter, we look at the key issue of power allocation (PA) where the target is the competiti...
Heterogeneous Computing (HC) systems achieve high performance by networking together computing resou...
With the proliferation of mobile phone users, interference management is a big concern in this neote...
Abstract—Smooth and green future extension/scalability (e.g., from sparse to dense, from small-area ...
Large scale distributed computing infrastructures pose challenging resource management problems, whi...
The fundamental principle of multiuser diversity states that it is possible to achieve a significant...
Demand response (DR) has been widely recognized as an effective solution to help mitigate the stress...
Cloud computing is a newly emerging paradigm in which a client pays as it uses computing resources o...
Heterogeneous computing is a promising solution to scale the performance of computing systems mainta...
Power-aware computing is becoming popular using heterogeneous ecosystem. For recent execution units,...
In next-generation wireless networks, a user can be connected through MultiMode Device (MMD) to the ...
We propose an economics-oriented cloud computing resources allocation strategy with the use of game ...
The proposed infrastructure of the next generation wireless networks not only contains the centraliz...
AbstractWith the proliferation of mobile phone users, interference management is a big concern in th...
The problem of mapping tasks onto a computational grid with the aim to minimize the power consumptio...
In this chapter, we look at the key issue of power allocation (PA) where the target is the competiti...
Heterogeneous Computing (HC) systems achieve high performance by networking together computing resou...
With the proliferation of mobile phone users, interference management is a big concern in this neote...
Abstract—Smooth and green future extension/scalability (e.g., from sparse to dense, from small-area ...
Large scale distributed computing infrastructures pose challenging resource management problems, whi...
The fundamental principle of multiuser diversity states that it is possible to achieve a significant...
Demand response (DR) has been widely recognized as an effective solution to help mitigate the stress...
Cloud computing is a newly emerging paradigm in which a client pays as it uses computing resources o...