Using the well-known product-limit form of the Kaplan-Meier estimator from statistics, we propose a new class of nonparametric adaptive data-driven policies for stochastic inventory control problems. We focus on the distribution-free newsvendor model with censored demands. The assumption is that the demand distribution is not known and there are only sales data available. We study the theoretic...

In this paper, we propose and compare two video slicebased discard schemes, namely adaptive-PSD and Adaptive-ESD, for the transmission of MPEG video streams overATM best effort services. The schemes perform adaptive and selective cell burst discard at the level of MPEG video slices and intelligently adjusts drop policies to switch buffer occupancy and video cell payload types. In comparison to ...

We devise powerful algorithms based on differential evolution for adaptive many-particle quantum metrology. Our new approach delivers adaptive quantum metrology policies for feedback control that are orders-of-magnitude more efficient and surpass the few-dozen-particle limitation arising in methods based on particle-swarm optimization. We apply our method to the binary-decision-tree model for q...

This paper presents an adaptive scheme for a sub-function in Asynchronous Transfer Mode (ATM) network routing, called link allocation. The scheme adapts the link allocation policy to the offered Poisson call traffic such that the long-term revenue in maximized. It decomposes the link allocation task into a set of link admission control (LAC) tasks, formulated as semi-Markov Decision Problems (S...

Adaptive and cognitive radios (CR) have been becoming popular for optimizing mobile radio system transmission and reception. One of the most important elements of the adaptive radio and CR concepts is the ability to measure, sense, learn about, and be aware of parameters related to the radio channel characteristics, availability of spectrum and power, interference and noise temperature, operati...

Transactional applications may exhibit fluctuating amounts of contention during execution. Excessive numbers of threads executing transactions can produce phases with a high transaction abort ratio. while few threads executing transactions will under-perform in phases with low contention. This paper presents the first application of adaptive concurrency control to TM in order to dynamically adj...

The security policies for computing resources must match the security policies of the organizations that use them; therefore, computer security policies must be adaptive to meet the changing security environment of their user-base. This paper presents four methods for implementing adaptive security policies for architectures which separate the de nition of the policy in a Security Server from t...

Abstract. Based on temporal difference method in neuro-dynamic programming, an adaptive policy for finite state Markov decision processes with the average reward is constructed under the minorization condition. We estimate the value function by a learning iteration algorithm. And the adaptive policy is specified as an ε-forced modification of the greedy policy for the estimated value and the es...

Automated trust negotiation (ATN) is an approach that establishes mutual trust between strangers wishing to share resources or conduct business by gradually requesting and disclosing digitally signed credentials. Previous work on improving negotiation efficiency mainly focuses on using history negotiation information, which may lead to unnecessary information leakage and cannot improve the nego...