Evaluating high-throughput reliable multicast for grid applications in production networks

Author(s):  
M.P. Barcellos ◽  
M. Nekovee ◽  
M. Koyabe ◽  
M. Daw ◽  
J. Brooke
2015 ◽  
Vol 14 (4) ◽  
pp. 728-741 ◽  
Author(s):  
Xin Zhao ◽  
Jun Guo ◽  
Chun Tung Chou ◽  
Archan Misra ◽  
Sanjay K. Jha

2016 ◽  
Vol 1 (1) ◽  
pp. 21-29
Author(s):  
J.A. Okoye ◽  
I.E. Achumba ◽  
K.C. Okafor ◽  
O.U. Oparaku

Distributed cloud datacenters are currently used as deployment environment for large-scale web-facing enterprise analytic cloud applications. In the era of cloud computing, these networks allow unprecedented scalability in response to dynamic and unpredictable grid workloads. However, grid applications need to scale beyond the limits of single-tenanted datacenter to multi-tenanted datacenter sites providing regulatory service level compliance, efficient Quality of Service (QoS) and increased fault tolerance at all times. Following the complex hierarchical design structure of emerging cloud networks such as Internet of Things (IoT) and Fog Computing Networks (FCNs), congestion crisis becomes a critical consideration for future expansion of these networks. This paper carried out a Baseline Parametric Survey (BPS) to ascertain major factors of DCN traffic congestion in selected production networks in Nigeria. From the survey, it was observed that the absence of an intelligent load balancer, bandwidth size, network traffic type, and network switch butter capacity, number of users on the network, segmentation and routing devices all contribute to network congestion incidence. The deductions from this work can be used to implement a Fog internet layer for smarter data off-loading in today’s internet of everything.


1997 ◽  
Vol 5 (2) ◽  
pp. 113-127 ◽  
Author(s):  
Dahlia Malkhi ◽  
Michael Reiter

Author(s):  
Maziar Nekovee ◽  
Marinho P Barcellos ◽  
Michael Daw

In its simplest form, multicast communication is the process of sending data packets from a source to multiple destinations in the same logical multicast group. IP multicast allows the efficient transport of data through wide-area networks, and its potentially great value for the Grid has been highlighted recently by a number of research groups. In this paper, we focus on the use of IP multicast in Grid applications, which require high-throughput reliable multicast. These include Grid-enabled computational steering and collaborative visualization applications, and wide-area distributed computing. We describe the results of our extensive evaluation studies of state-of-the-art reliable-multicast protocols, which were performed on the UK's high-speed academic networks. Based on these studies, we examine the ability of current reliable multicast technology to meet the Grid's requirements and discuss future directions.


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