An adaptive caching algorithm, known as Adaptive Caching with Multiple Experts (ACME), has recently been presented in the field of web-caching. We explore the migration of ACME to the database caching environment. By integrating recently proposed database replacement policies into ACME’s existing policy pool, an attempt is made to gauge ACME’s ability to utilise newer methods of database cachin...

In sparse target inference problems it has been shown that significant gains can be achieved by adaptive sensing using convex criteria. We generalize previous work on adaptive sensing to (a) include multiple classes of targets with different levels of importance and (b) accommodate multiple sensor models. New optimization policies are developed to allocate a limited resource budget to simultane...

SIR Your editorial in the March 1992 issue (1), is in my opinion something of a landmark and a positive, favourable one in the history of scholarly communication. In effect, you are urging the medical research community to take seriously a paper that leading peer review authorities rejected (for one reason or another) for publication. The peer review authority rejection might be characterised a...

We describe an adaptive, mid-level approach to the wireless device power management problem. Our approach is based on reinforcement learning, a machine learning framework for autonomous agents. We describe how our framework can be applied to the power management problem in both infrastructure and ad hoc wireless networks. From this thesis we conclude that mid-level power management policies can...

Adaptive space-sharing algorithms are commonly used to realize the fullest strengths of dedicated homogeneous cluster computing systems since they produce better performance than fixed and variable-space sharing policies. However cluster of computers tend to be heterogeneous over the time because of both nature of incremental growth and diversity of technological change. Community-owned cluster...

A set of neural networks is employed to develop control policies that are better than fixed, theoretically optimal policies, when applied to a combined physical inventory and distribution system in a nonstationary demand environment. Specifically, we show that model-based adaptive critic approximate dynamic programming techniques can be used with systems characterized by discrete valued states ...

We study stochastic submodular maximization problem with respect to a cardinality constraint. Our model can capture the effect of uncertainty in different problems, such as cascade effects in social networks, capital budgeting, sensor placement, etc. We study non-adaptive and adaptive policies and give optimal constant approximation algorithms for both cases. We also bound the adaptivity gap of...

Are we making the best use of laboratory computer systems? In this first issue of the 1983 volume of the Journal of Automatic Chemistry we can look back on a very successful first year with our new publisher, Taylor & Francis Ltd. Their experience in scientific publishing has been of considerable value to me and the editorial team. We now have a well-produced, accepted and well-presented produc...

Dr. Jung-Gi Im served for five years as the Editor-inchief. As a member of the Board of Directors of the Korean Radiological Society back in the last decade, Dr. Im devoted himself to giving birth to this English journal. In the editorial of the inaugural issue in 2000, Dr. Im pronounced that his editorial policy was to meet global standards and trends in radiology combined with an EastAsian pe...

This paper models and evaluates the Jewel instrumentation system (IS), which is being used for runtime data collection from a distributed, real-time application. Our modeling and evaluation effort addresses two objectives: (1) providing early feedback to the system developers regarding the Jewel IS configuration options for this application; and (2) evaluation of the design options for an adapt...