Preface to the Princeton Landmarks in Biology Edition vii Preface xi Symbols Used xiii 1. The Importance of Islands 3 2. Area and Number of Speicies 8 3. Further Explanations of the Area-Diversity Pattern 19 4. The Strategy of Colonization 68 5. Invasibility and the Variable Niche 94 6. Stepping Stones and Biotic Exchange 123 7. Evolutionary Changes Following Colonization 145 8. Prospect 181 Glossary 185 References 193 Index 201

The Theory of Island Biogeography

[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

Data Mining - Concepts and Techniques.

Data Mining Practical Machine Learning Tools and Techniques

With the proliferation of service-based systems (SBSs), more and more functionally equivalent services with different Quality-of-Service (QoS) are emerging. System vendors can select from these services to create service compositions to fulfill users' multi-dimensional QoS requirements. In order to address the QoS-aware service selection problem, various approaches have been proposed in recent years. However, most of them assume that the users' QoS requirements are deterministic and different QoS dimensions of the requirements are independent of each other. In fact, correlations may exist between different QoS dimensions of users' QoS requirements, which make existing service selection approaches impractical. In this paper, we propose SCORE-QoS (Service Selection based on Correlated QoS Requirements), in which the correlated QoS requirements are represented with QoS correlation functions and integrated into the Constraint Optimization Problem that models the service selection process. Two types of correlated QoS requirements, with and without optimization goals, are considered in SCORE-QoS. The experimental results show that our approach can effectively and efficiently select services for composition based on correlated QoS requirements.

Service Selection Based on Correlated QoS Requirements

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Consumer control of the establishment of marsh foundation plants in intertidal mudflats

Edge computing, as an emerging and prospective computing paradigm, allows a service provider to serve its users by allocating them to nearby edge servers delivering services with low latency. From the service provider's perspective, a cost-effective service user allocation aims to allocate maximum service users to minimum edge servers. Such an allocation leverages multi-tenancy to reduce the resources hired by the service provider for serving the service users. However, the allocation of excessive service users to an edge server may result in severe interference and consequently impact their data rates. There is a trade-off between multi-tenancy and interference in the pursuit of a cost-effective service user allocation. In this paper, we formally model this service user allocation (SUA) problem. To solve the SUA problem effectively and efficiently, we propose a game-theoretic approach, namely MI-SUAGame, to formulate the SUA problem as a potential game. We analyze the game and prove its admission to a Nash equilibrium. Then, a novel decentralized algorithm is designed for finding a Nash equilibrium in the game as the solution to the SUA problem. The performance of MI-SUAGame is theoretically analyzed and experimentally evaluated against the state-of-the-art approach.

Trading off between Multi-tenancy and Interference: A Service User Allocation Game

Hydraulic retention time (HRT) may be one of the major factors causing seasonal variations in treatment efficiency of rock-plant filters. Six meso-scale rock-plant filters, three with narrowleaf cattails (Typha augustifolia) and three unplanted, were investigated to evaluate the influence of plant factors on HRT. Tracer studies were conducted during summer, fall, and spring to evaluate seasonal variations in hydraulic performance. Significant evapotranspiration was observed during summer, up to 38.7 mm d−1, which was five times the corresponding Class A pan evaporation and more than 58% of the applied water. This caused effective HRT to increase by about 50%. Significant gravel expansion also was observed after 2 years of operation. Total bed volume increased up to 21.8%. This increase in bed volume may help maintain porosity and prevent clogging in wetlands. It also caused the subsurface flow pattern to vary from plug flow. High evapotranspiration significantly increased effective HRT in rock-plant filte...

Seasonal variations in hydraulic performance of rock-plant filters.

With the rapid increase in the use of mobile devices in people's daily lives, mobile data traffic is exploding in recent years. In the edge computing environment where edge servers are deployed in close proximity to mobile users, caching popular data on edge servers can ensure mobile users' low-latency access to those data and reduce the data traffic between mobile users and the centralized cloud. Existing studies consider the data caching problem on the reduction of network delay and the improvement of mobile devices' energy efficiency. In this paper, we tackle this data caching problem in the edge computing environment from a service provider's perspective to maximize its data caching revenue. This problem is challenging because there is a trade-off between the benefit produced and the cost incurred by caching data on edge servers. In the meantime, the constraint for data access latency must also be fulfilled. We formulate the data caching problem in the edge computing environment as an integer programming (IP) problem and prove its NP-completeness. To solve this problem effectively and efficiently in large-scale scenarios, we propose an approximation approach to find near-optimal solutions. Experiments are conducted on a real-world dataset to evaluate our approaches.

Qiang He

Papers

Service Selection Based on Correlated QoS Requirements

Consumer control of the establishment of marsh foundation plants in intertidal mudflats

Trading off between Multi-tenancy and Interference: A Service User Allocation Game

Seasonal variations in hydraulic performance of rock-plant filters.

Data Caching Optimization in the Edge Computing Environment