Bottleneck Science

Stork data scheduler: mitigating the data bottleneck in e-Science.

In this paper, we present the Stork data scheduler as a solution for mitigating the data bottleneck in e-Science and data-intensive scientific discovery. Stork focuses on planning, scheduling, monitoring and management of data placement tasks and application-level end-to-end optimization of networked inputs/outputs for petascale distributed e-Science applications. Unlike existing approaches, St...

Researchers' writing competence: a bottleneck in the publication of Latin-American science?

Bottleneck Domination and Bottleneck Independent Domination on Graphs

In this paper, the bottleneck dominating set problem and one of its variants, the bottleneck independent dominating set problem, are considered. Let G(V, E, W) denote a graph with n-vertex-set V and m-edge-set E, where each vertex v is associated with a real cost W(v). Given any subset V′ of V, the bottleneck cost of V′ is defined as max{W(x)  x ∈ V′}. The major task involves identifying a dom...

Information Bottleneck Co-clustering

Co-clustering has emerged as an important approach for mining contingency data matrices. We present a novel approach to co-clustering based on the Information Bottleneck principle, called Information Bottleneck Co-clustering (IBCC), which supports both soft-partition and hardpartition co-clusterings, and leverages an annealing-style strategy to bypass local optima. Existing co-clustering method...

Getting through the bottleneck

The first positive trend is the slowing of global population growth. There is a significant shift in global fertility that will enable us at least to think about moving to a world of near stable populations within a century, maybe sooner. Fertility in about 40 per cent of the world’s countries is now below the replacement rate. Another 40 per cent are experiencing continued downward movement of...