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Current resource allocation techniques in cellular networks are largely based on single-slope path loss model, which falls short in accurately capturing the effect of physical environment. The phenomenon of densification makes cell patterns more irregular; therefore, the multi-slope path loss model is more realistic to approximate the increased variations in the links and interferences. In this paper,...
In this paper we present VinaSC, an improved version of Autodock Vina, that performs molecular docking simulation efficiently on large-scale heterogeneous cluster for massive docking scenario. Both application and platform optimizations are implemented to fully exploit performance potentials of heterogeneous platforms. Specifically, computation is offloaded to Intel Many Integrated Core (MIC) using...
5G communication networks will bring enhanced mobile broadband services to users and vertical markets supporting very wide range requirements from context-dependent applications. To support such applications in 5G, not only the conventional area traffic capacity but network energy efficiency is also a critical factor since energy consumption of information processing is also becoming an economic issue...
5G communication networks will bring enhanced mobile broadband services to users and vertical markets supporting very wide range requirements from context-dependent applications. To support such applications in 5G, not only the conventional area traffic capacity but network energy efficiency is also a critical factor since energy consumption of information processing is also becoming an economic issue...
Heterogeneous networks (HetNets) have been proposed as a capacity and coverage enabler in LTE-Advanced and beyond communication networks. Their optimal operation requires a significant degree of self-organization. Autonomic Load Balancing (ALB) has been proposed as an important self-organizing (SON) function in the LTE radio access network (RAN). In this work, distributed ALB is achieved by implementing...
The transition of power grids towards distributed and renewable energy generation leads to challenges with respect to stability and operation of distribution grids that have to be tackled with adequate systems, technologies, and control methods. Therefore, we propose a hierarchical control architecture for distribution grids based on the principles of Organic Computing. This paper evaluates the results...
The reduction of cloud computing energy consumption can be related to the application layer management with virtualization services, or a software layer. All clouds demand a power infrastructure with high availability. A data center power system is generally classified according to four redundancy levels, named tier I to IV. This paper proposes a power load distribution algorithm in depth search (PLDA-D)...
In order to meet the ever-increasing computing requirement in embedded market, multiprocessor chips were proposed as the best way out. In this work we investigate the estimation of the energy consumption in embedded MPSoC system. One of the efficient solutions to reduce the energy consumption is to reconfigure the caches memories. This approach was applied for one cache level/one processor architecture...
Cloud computing has expanded in recent years due to many effects, such as accessibility, reliability, and collaboration. To provide those functionalities high availability is in demand, which implies a higher electric energy consumption by the computers that support the cloud infrastructure. Studies that pay attention to this electric energy consumption are important due to its impact on sustainability...
The lattice Boltzmann method is increasingly important in facilitating large-scale fluid dynamics simulations. To date, these simulations have been built on discretized velocity models of up to 27 neighbors. Recent work has shown that higher order approximations of the continuum Boltzmann equation enable not only recovery of the Navier-Stokes hydro-dynamics, but also simulations for a wider range...
Network operators expect a coordinated handling of parameter changes submitted to the operating network's configuration management entity by closed-loop self-organizing network (SON) techniques. For this reason, a major research goal for emerging SON technologies is to achieve coordinated results out of a plethora of independently or even concurrently running use-case implementations. In this paper,...
One major topic of research into SON technology is the coordination of SON use cases. Network operators expect a coordinated handling of the parameter and configuration changes submitted to the operating network by closed-loop SON use case implementations. Beside a published conceptual framework, SON coordination has already been treated in the literature, especially regarding the mobility load balancing...
Network emulation is an efficient method for evaluating distributed applications and communication protocols by combining the benefits of real world experiments and network simulation. The process of network emulation involves the execution of connected instances of the software under test (called virtual nodes) in a controlled environment. In previous work, we introduced an approach to minimize the...
Typical computing systems based on general purpose processors (GPPs) can be extended with coarse-grained reconfigurable arrays (CGRAs) to provide higher performance and/or energy savings. In order for applications to take advantage of these computing systems, possibly including CGRAs varying in size, efficient dynamic compilation/mapping techniques are required. Dynamic mapping will be responsible...
Recently self-optimizing as a new characteristic in wireless network attracts more and more attention. Depending on the coverage area of the cell and the spatial distribution of the offered traffic it can occur that some cells in the network are more heavily loaded than their neighbours(load imbalance). In these situations it can be beneficial in terms of network accessibility and retainability to...
Filter caches have been proposed to decrease the energy consumption on embedded systems. However, the achievement in energy is usually acquired with a loss in performance. This work investigates a novel filter cache architecture that outperforms a traditional one, while maintaining the energy advantages. The performance gain is achieved by only allocating the data with a high reuse potential into...
In order to reduce development cycle, powertrain control and optimization is increasingly based on system modeling and several steps of simulation are needed. As an intermediate step, real-time simulation aim to prepare further test bed validations embedding the actual engine. This article discusses the challenge to find a real-time execution model offering the determinism needed to maintain the numerical...
The highly distributed nature and the load sensitivity of Service Oriented Architectures (SOA) make it very difficult to guarantee performance requirements under rapidly-changing load conditions. This paper deals with the development of service oriented autonomic systems that are capable to optimize themselves using a feed forward approach, by exploiting automatically generated performance predictions...
A distributed MAS (multi agent system) architecture for moveable port resource operation has been presented in the paper, which builds upon elements from decentralized strategies. The system provides a feasible optimization solution to the problem due to its inherent complexity. Under such solution, an intelligent planning algorithm is continuously optimized by the dynamic and co-operative rescheduling...
This paper presents a method for achieving optimization in clouds by using performance models in the development, deployment and operations of the applications running in the cloud. We show the architecture of the cloud, the services offered by the cloud to support optimization and the methodology used by developers to enable runtime optimization of the clouds. An optimization algorithm is presented...
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