Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2010-04-05
in: "Proceedings of the 15th IEEE International Conference on Engineering of Complex Computer Systems (ICECCS 2010)", R. Calin
Computer Science
Distributed, Parallel, and Cluster Computing
Scientific paper
Modern large-scale date centres, such as those used for cloud computing service provision, are becoming ever-larger as the operators of those data centres seek to maximise the benefits from economies of scale. With these increases in size comes a growth in system complexity, which is usually problematic. There is an increased desire for automated "self-star" configuration, management, and failure-recovery of the data-centre infrastructure, but many traditional techniques scale much worse than linearly as the number of nodes to be managed increases. As the number of nodes in a median-sized data-centre looks set to increase by two or three orders of magnitude in coming decades, it seems reasonable to attempt to explore and understand the scaling properties of the data-centre middleware before such data-centres are constructed. In [1] we presented SPECI, a simulator that predicts aspects of large-scale data-centre middleware performance, concentrating on the influence of status changes such as policy updates or routine node failures. [...]. In [1] we used a first-approximation assumption that such subscriptions are distributed wholly at random across the data centre. In this present paper, we explore the effects of introducing more realistic constraints to the structure of the internal network of subscriptions. We contrast the original results [...] exploring the effects of making the data-centre's subscription network have a regular lattice-like structure, and also semi-random network structures resulting from parameterised network generation functions that create "small-world" and "scale-free" networks. We show that for distributed middleware topologies, the structure and distribution of tasks carried out in the data centre can significantly influence the performance overhead imposed by the middleware.
Cliff Dave
Sriram Ilango
No associations
LandOfFree
Effects of component-subscription network topology on large-scale data centre performance scaling does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Effects of component-subscription network topology on large-scale data centre performance scaling, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Effects of component-subscription network topology on large-scale data centre performance scaling will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-56633