DCell has been proposed for one of the most important data center networks as a server centric data center network structure. DCell can support millions of servers with outstanding network capacity and provide good fa...
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ISBN:
(纸本)9783642408199;9783642408205
DCell has been proposed for one of the most important data center networks as a server centric data center network structure. DCell can support millions of servers with outstanding network capacity and provide good fault tolerance by only using commodity switches. In this paper, we prove that there exist r vertex disjoint paths {P(i vertical bar)1 <= i <= r} between any two distinct vertices u and v of DCell(k) (k >= 0) where r = n + k - 1 and n is the vertex number of DCell(0). the result is optimal because of any vertex in DCell(k) has r neighbors with r = n + k - 1.
Peer-to-peer network and application have boomed for the recent decade. However, network Address Translation (NAT) devices obstruct its wide application by restricting the access to peers from private network. In this...
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ISBN:
(纸本)9780769550947
Peer-to-peer network and application have boomed for the recent decade. However, network Address Translation (NAT) devices obstruct its wide application by restricting the access to peers from private network. In this paper, we devise a peer strongly connected model to adapt Kademlia protocol to NAT-involved environment to minimize the impact on routine algorithm and meanwhile to make the target system reliable and scalable. Evaluation shows that our organization model highly outperforms existing model in delivery rate and scalability.
computingthe encoding delay and bandwidth on the nodes is important for the deployment and implementation of network coding. However, the existing researches merely use the methods of experimental measurement or roug...
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Conventional hybrid networks implement a horizontal separation over the entire network (from edge to edge), which leads to a rigid separation of the resources. In this paper, we propose a network, called Content-based...
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ISBN:
(纸本)9780769550947
Conventional hybrid networks implement a horizontal separation over the entire network (from edge to edge), which leads to a rigid separation of the resources. In this paper, we propose a network, called Content-based Switching network, whose nodes can flexibly choose their switching paradigm (store-and-forward, optical bypass, electrical bypass) during a path establishment. thanks to this, the network does not have to choose through which plane a content should be transmitted before the transfer. the global architecture and signaling schemes of our proposal are given. Simulation results comparing the Content-based Switching network to an Optical Circuit Switching illustrate its behavior and performances.
the object of research of the article is environment-friendly technologies that can minimize electrical energy consumption of parallel and distributed computers. the study revealed that even without computations compu...
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ISBN:
(纸本)9780769550947
the object of research of the article is environment-friendly technologies that can minimize electrical energy consumption of parallel and distributed computers. the study revealed that even without computations computer clusters consume considerable amount of electrical power. A technique to save electrical energy is proposed to automatically shut down compute nodes when they are not needed for computation, leaving only network cards on waiting for the tasks. When the tasks are assigned, electrical power consumption increases, but not evenly for each core each next core increases consumption of power less than the previous one. therefore for efficient use of electricity computer's cores must be loaded as much as possible, rather than parallel tasks divided among several computers. Graphics processing units consume a lot of electrical power. However their high computational performance makes computing electrical energy efficient when they are used with care.
this paper proposes a fully distributed scalable resilient routing scheme for virtual networks using switches. the scheme is very easy to implement and does not require global information on the state of the network. ...
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ISBN:
(纸本)9780769550947
this paper proposes a fully distributed scalable resilient routing scheme for virtual networks using switches. the scheme is very easy to implement and does not require global information on the state of the network. Failures are treated purely locally, and the other nodes in the network do not need to know anything about it or to undertake special actions. In contrast to conventional IP routing schemes, each node routes the traffic on the basis of the entering arc and on the destination. We show that this is sufficient for dealing with all single link/node failure situations in the network, assuming that the network is two-link (respectively two-node) connected.
the hierarchical dual-net (HDN) is a newly proposed interconnection network for massive parallel computers. the HDN is constructed based on a symmetric product graph (base network). A k-level hierarchical dual-net, HD...
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ISBN:
(纸本)9783642408199;9783642408205
the hierarchical dual-net (HDN) is a newly proposed interconnection network for massive parallel computers. the HDN is constructed based on a symmetric product graph (base network). A k-level hierarchical dual-net, HDN(B, k, S), contains n(k) = (2n(0))(2k) /(2 Pi(k)(i=1) s(i)) nodes, where S = {G(1)', G(2)', ... , G(k)'}, G(i)' is a super-node and s(i) = vertical bar G(i)'vertical bar is the number of nodes in the super-node at the level i for 1 <= i <= k, and n(0) is the number of nodes in the base network B. the S is used mainly for adjusting the scale of the system. the node degree of HDN(B, k, S) is d(0) + k, where d(0) is the node degree of the base network. the HDN is node and edge symmetric and can contain huge number of nodes with small node-degree and short diameter. the total exchange is one of the most dense communication patterns and is at the heart of numerous applications and programming models in parallelcomputing. In this paper, we show that the total exchange routing can be done on HDN efficiently.
Advances in the industry are gaining attentions from the scientific computing community. Programming models and frameworks such as MapReduce and Hadoop are attracting scientists due to their easy-to-use interfaces and...
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ISBN:
(纸本)9780769550886
Advances in the industry are gaining attentions from the scientific computing community. Programming models and frameworks such as MapReduce and Hadoop are attracting scientists due to their easy-to-use interfaces and autonomic parallel processing abilities. Compared withthe conventional HPC execution environments, clouds possess desirable features such as administrative privilege, customizable software environments, and are more capable of supporting new frameworks and boosting inter-organization collaborations. Isolated private clouds and public clouds are used by scientists. However, extra administrative and monetary costs are inevitable in both cases. In this paper, we propose MyCloud, a resource management framework integrating cloud-based techniques into HPC systems. MyCloud supports both conventional HPC jobs and cloudlike on-demand virtual cluster provisioning on the same HPC cluster simultaneously. Dynamic resource sharing between the two environments is beneficial for cluster utilization and burst usages handling. the design of MyCloud is friendly to the state-of-the-art Software Defined networking technologies and opens opportunities for fine-grained application-aware network engineering.
As a new kind of commercial model, cloud computing can integrate various kinds of resources in the network. Resource providers offer these resources to users in the form of service and receive corresponding profits. T...
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ISBN:
(纸本)9783642408199;9783642408205
As a new kind of commercial model, cloud computing can integrate various kinds of resources in the network. Resource providers offer these resources to users in the form of service and receive corresponding profits. To make more rational use of the cloud resources, an effective mechanism is necessary for allocating the resources. In this paper, the price attribution and non-price attributions of both traders are analyzed. the support vector machine algorithm is utilized to predict the price, further determining the quote and bid. then, the BP neural network algorithm is used to transfer the non-price attributions to the quality index. Finally, to maximize the total satisfaction of resource providers and resource consumers, the mean-variance optimization algorithm is adopted to obtain the optimized cloud resource allocation scheme. Simulation results have shown that the proposed mechanism is feasible and effective.
Graph data is the default data organization mechanism used in large-scale Social network Service (SNS) applications. Traditional graph data computing models are used to dig out useful hidden information inside the dat...
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ISBN:
(纸本)9780769550886
Graph data is the default data organization mechanism used in large-scale Social network Service (SNS) applications. Traditional graph data computing models are used to dig out useful hidden information inside the data. However, the ever growing data volume is adding more and more pressures. To retrieve and discover the information, the system has to introduce a larger number of data iterations. this makes the data analysis operations becoming slower. To speed up these operations on large-scale graph data, recent research works focus on developing efficient parallel iteration processing strategies. However, the synchronization requirements between successive iterations can severely jeopardize the effectiveness of parallel operations. In this paper, we propose a novel large-scale graph data processing model, Arbor, to address these issues. Arbor substitutes time-constrained synchronization operations with non-time-constrained control message transmissions to increase the degree of parallelism. Furthermore, it develops a new graph data organization format, which can not only save storage space, but also accelerate graph data processing operations. We compare Arbor with other graph processing models using a large-scale experimental graph data, and the results show that it outperforms the state-of-the-art systems.
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