Wireless location has received increasing attention in the last decade, and the introduction of distributed multi-antenna in 4G system has brought in extra information for high accuracy location. In this paper, a nove...
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ISBN:
(纸本)9781612846835;9781612846828
Wireless location has received increasing attention in the last decade, and the introduction of distributed multi-antenna in 4G system has brought in extra information for high accuracy location. In this paper, a novel antenna selection algorithm in distributed multi-antenna system is proposed. By analyzing the least square error of TDOA location method and its relationship with locations of antennas utilized, factors are designed to indicate this relationship, and then we can find the most proper antennas to locate the MS. Simulation results show that the proposed antenna selection algorithm outperforms the traditional methods, which indicates our antenna selection algorithm can be applied in distributed multi-antenna systems effectively.
For many applications, computation load varies over time. Such applications require dynamic load balancing to improve performance. Centralized load balancing schemes, which perform the load balancing decisions at a ce...
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ISBN:
(纸本)9781450323789
For many applications, computation load varies over time. Such applications require dynamic load balancing to improve performance. Centralized load balancing schemes, which perform the load balancing decisions at a central location, are not scalable. In contrast, fully distributed strategies are scalable but typically do not produce a balanced work distribution as they tend to consider only local information. This paper describes a fully distributed algorithm for load balancing that uses partial information about the global state of the system to perform load balancing. This algorithm, referred to as GrapevineLB, consists of two stages: global information propagation using a lightweight algorithm inspired by epidemic [21] algorithms, and work unit transfer using a randomized algorithm. We provide analysis of the algorithm along with detailed simulation and performance comparison with other load balancing strategies. We demonstrate the effectiveness of GrapevineLB for adaptive mesh refinement and molecular dynamics on up to 131,072 cores of BlueGene/Q.
Network usage is shifting from traditional host-to-host model to content distribution and retrieval. With wholly new design in network architecture, Content Centric networking (CCN) seems to be a most promising soluti...
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ISBN:
(纸本)9781479930463
Network usage is shifting from traditional host-to-host model to content distribution and retrieval. With wholly new design in network architecture, Content Centric networking (CCN) seems to be a most promising solution, while Content Delivery Networks (CDNs) is the most widely used at present to face the change, taking Alibaba's CDNs and Akarnai for example. In this paper, we explore the impact of cache management. And we will discuss a strategy about the cache management in CCN with a real network topology with the reference of the CDNs of Alibaba, and design a method of storage distribution. Using new approach of cache management, we also conduct experiments to compare the difference in performance with different strategies. And the experimental results show a high hit probability and low access time.
This paper proposes a distributed algorithm that aims for congestion control in Software Defined networking with distributed controllers by exploiting loop structures in a network and coloring. Our algorithm dissects ...
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ISBN:
(纸本)9781479969593
This paper proposes a distributed algorithm that aims for congestion control in Software Defined networking with distributed controllers by exploiting loop structures in a network and coloring. Our algorithm dissects a network into loop units called tie-sets and updates flows on edges by enclosed calculation in each controller, which is in charge of one of loop units. Additionally, the deployment of coloring in a tie-set meta-graph enables the distributed algorithm to avoid update conflicts in shared edges with less communications among controllers.
This paper describes a distributed algorithm for swarm robots to form a uniform circle which can be required for guarding or covering an geographical boarder by a group of robots.
ISBN:
(纸本)9781450363976
This paper describes a distributed algorithm for swarm robots to form a uniform circle which can be required for guarding or covering an geographical boarder by a group of robots.
In this paper, a distributed power control scheme for the third generation wideband CDMA system is presented. In the algorithm, a kind of power update function of exponential type is presented, By adjusting parameter ...
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ISBN:
(纸本)078039335X
In this paper, a distributed power control scheme for the third generation wideband CDMA system is presented. In the algorithm, a kind of power update function of exponential type is presented, By adjusting parameter k in the power update function, the system can satisfy different performance requirement. Simulation results reveal that this algorithm has faster convergence speed and better system stability than the conventional distributed power control algorithm.
Named Data networking (NDN) is one of the promising future internet architectures, which focuses on the data rather than its location (IP/host-based system). NDN has several characteristics which facilitate addressing...
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ISBN:
(纸本)9781538617915
Named Data networking (NDN) is one of the promising future internet architectures, which focuses on the data rather than its location (IP/host-based system). NDN has several characteristics which facilitate addressing and routing the data: fail-over, in-network caching and load balancing. This makes it useful in areas such as managing scientific data. The CMS experiment on the Large Hadron Collider (LHC) has a data access problem amenable to content-centric networking. CERN Virtual Machine File System (CVMFS) is used by High Energy Physics (HEP) community for worldwide software distribution. CVMFS maintain its data by using content-addressable storage, which makes it suitable for NDN. In this paper, we investigate the possibilities of using a content centric networking architecture such as NDN on distributing CMS software.
In this paper, we describe a new distributed community detection algorithm for billion-edge directed graphs that, unlike modularity-based methods, achieves cluster quality on par with the best-known algorithms in the ...
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ISBN:
(纸本)9781450337236
In this paper, we describe a new distributed community detection algorithm for billion-edge directed graphs that, unlike modularity-based methods, achieves cluster quality on par with the best-known algorithms in the literature. We show that a simple approximation to the best-known serial algorithm dramatically reduces computation and enables distributed evaluation yet incurs only a very small impact on cluster quality. We present three main results: First, we show that the clustering produced by our scalable approximate algorithm compares favorably with prior results on small synthetic benchmarks and small real-world datasets (70 million edges). Second, we evaluate our algorithm on billion-edge directed graphs (a 1.5B edge social network graph, and a 3.7B edge web crawl), and show that the results exhibit the structural properties predicted by analysis of much smaller graphs from similar sources. Third, we show that our algorithm exhibits over 90% parallel efficiency on massive graphs in weak scaling experiments.
Regenerating codes are a class of distributed storage codes that allow for efficient repair of failed nodes, as compared to traditional erasure codes, which enables it to achieve high data reliability, security, and c...
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ISBN:
(纸本)9781665457194
Regenerating codes are a class of distributed storage codes that allow for efficient repair of failed nodes, as compared to traditional erasure codes, which enables it to achieve high data reliability, security, and cost-efficiency and a critical infrastructure of the computing system. Existing data storage largely depends on a centralized cloud, which is not only costly but also vulnerable to single points of failure and other types of security attacks. To provide data security, data encryption has to be used, which requires extensive computing power and cumbersome key management. distributed storage system (DSS) is being widely viewed as a natural solution to future online data storage due to improved access time and lower storage cost. However, the existing DSS also has the limitations of low storage efficiency and lack of data security. In this paper, we investigate multi-layer code-based distributed data storage systems that can achieve inherit content confidentiality and optimal storage efficiency. Our comprehensive shows that the optimal code can improve the reliable data storage by nearly 50% comparing to the existing state-of-art research.
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