Nature–inspired algorithms are the most powerful algorithms for optimization problems. This paper presents a novel optimization channel allocation algorithm inspired by the flash pattern of fireflies that allows suppression of the four–wave mixing (FWM) crosstalk while maintaining channel bandwidth. It is composed of a fractional bandwidth channel allocation algorithm by using the concept of Op...

The paper proposes local and global optimization schemes for efficient TCP buffer allocation in an HTTP server. The proposed local optimization scheme dynamically adjusts the TCP send-buffer size to the connection and server characteristics. The global optimization scheme divides a certain amount of buffer space among all active TCP connections. These schemes are of increasing importance due to...

Properly allocation of virtual machines is important for computing infrastructures scheduling. This paper presents systemic method on virtual machine array optimization control based on artificial intelligence and matrix control theory. According to request service data from users to provide proper VMs roughly via intelligent pattern recognition based on RBFNN, the data is sent to a multiple-ta...

Optimization via simulation consists in applying iteratively two detached models until an optimality condition is reached: a simulation model for predicting the system performance and an optimization model for finding out the optimal solution. Mathematical programming representation has been recently used to describe the behavior of discrete event systems as well as their formal properties. Thi...

In this paper, the grid computing system is seemed as an ecosystem. The object of the optimization resource management is to promote the balance and evolution of the computing ecosystem. The architecture of the ecosystem model based grid resource management system is presented, which has the self-aware and selfoptimization mechanism. The knowledge discovery based self-aware mechanism has the ab...

Dynamic Binary Translation (DBT) has been used as an approach to transparently run code on different architectures and has generally made use of runtime information to perform effective dynamic compiler optimization. Dynamic optimization techniques are hard to design, as they have to improve code performance under stringent runtime constraints. In this paper we present preliminary work on a cod...

Spatial decision support systems (SDSS) are designed to make complex resource allocation problems more transparent and to support the design and evaluation of allocation plans. Recent developments in this field focus on the design of allocation plans using optimization techniques. In this paper we analyze how uncertainty in spatial (input) data propagates through, and affects the results of, an...

The three dimensional circuit (3D-IC) brings forth new challenges to physical design such as allocation and management of through-silicon-vias (TSVs). Meanwhile, the thermal issues in 3D-IC becomes significant necessitating the use of active cooling schemes such as micro-channel liquid coolings. Both TSVs and micro-channels go through the interlayer regions of 3D-IC resulting in potential resou...

An institute’s economic capital allocation taking efficiency aspects into account requires the coexistence of a certain centralisation and delegation. On the one hand information pooling concerning portfolio optimization kind considerations is afforded. On the other hand exclusively possessed knowledge by decentralized entities has to be used through delegation of decision rights. Information a...

We formulate two versions of the power control problem for wireless networks with latency constraints arising from duty cycle allocations In the first version, strategic power optimization, wireless nodes are modeled as rational agents in a power game, who strategically adjust their powers to minimize their own energy. In the other version, joint power optimization, wireless nodes jointly minim...