Resource allocation for simulation applications in cloud simulation environment brings new challenges to infrastructure service providers. In order to meet the constraint of SLA and to allocate the available virtualized resources optimally, this paper first presents autonomic resource management architecture, and then proposes a resource allocation algorithm for infrastructure service providers...

Water resources planning and management require problem resolution and optimized use of resources. Since many objectives in water management are conflicting, it is hard to devise one optimum strategy. A simulation tool capable of optimized multiobjective analysis to satisfy multiplicity of goals is needed to support water decision making. This paper suggests an integrated modeling framework to ...

This paper develops the system of optimal allocation of water resources in irrigation district and irrigation decision support which integrates technologies of decision support, information management, information search and so on. It has the multi-function of water production function calculation, crop water requirement calculation, water resources optimal allocation and realtime amending the ...

Usually, agents in the Free Energy Contracting Environment (ACL) Brazil, as self-producers and independent producers with their loads, must be carried out an accounting routine named allocation of self-generated energy (AGP). Considering lack specific works to solve such typical necessary routines these agents, this work presents a methodology optimize energy. The main contributions are: (i) el...

We consider a generalized layered Space-Time (GLST) architecture with parallel Space-Time (ST) codes and derive an optimal power allocation (PA) scheme over the SpaceTime encoders to minimize the overall frame error rate. We prove that the optimal power allocation scheme will equate the derivatives of the frame error rate functions of all the ST codes. From simulation, we show that the derived ...

This article presents a new method to solve dynamic sensor fusion problem. We consider large number of remote sensors which measure common Gauss–Markov process. Each encodes and transmits its measurement data center through resource restricted communication network. The cost incurred by given is quantified as the expected bitrate from center. propose an approach that attempts minimize weighted ...

A fundamental problem of grid computing is the communication overhead. One reason of this overhead is the access to remotely stored data. Caching read-only data is a possible alleviation of the problem. In case of grid computing caching can be optimized by using allocation schemes considering the contents of the caches. Possible ways to achieve such an allocation in a grid are the topic of this...

Data Allocation Problem (DAP) incorporates Allocation and Replication methodologies which are involved during the phase of Distributed Database design. Accessibility and availability are the thriving factors for better design of Distributed Databases. High degree of Accessibility and Availability are the outcomes of effective methodologies for Allocation and Replication. This paper proposes a m...