Stochastic Resource Provisioning for Container ized Multi-Tier Web Ser vices in Clouds Abstract-Under today?s bursty web traffic, the fine-grained per-container control promises more efficient resource provisioning for web services and better resource utilization in cloud datacenters. In this paper, we present Two-stage Stochastic Programming Resource Allocator (2SPRA). It optimizes resource provisioning for containerized n-tier web…
Achieving Secure and Efficient Dynamic Searchable Symmetric Encryption over Medical Cloud Data Abstract-High-profile, and often destructive Distributed Denial of Service (DDoS) attacks continue to be one of the top security concerns as the DDoS attacks volumes are increasing constantly. Among them the SYN Flood attack is the most common type. Conventional DDoS defense solutions may…
A combined mining-based framework for predicting telecommunications customer payment behaviors Abstract?A combined mining-based framework for predicting telecommunications customer payment behaviors. Recommender systems are mostly well known for their applications in e-commerce sites and are mostly static models. Classical personalized recommender algorithm include collaborative filtering method applied in Amazon, matrix factorization algorithm from Netflix, < Final...
A Computational Dynamic Trust Model for User Authorization Abstract? A Computational Dynamic Trust Model for User Authorization. Development of authorization mechanisms for secure information access by a large community of users in an open environment is an important problem in the ever-growing Internet world. In this paper we propose a computational dynamic trust model for…
A Critical-time-point Approach to All-departure-time Lagrangian Shortest Paths Abstract? Given a spatio-temporal network, a source, a destination, and a desired departure time interval, the All-departure time Lagrangian Shortest Paths < Final Year Projects 2016 > ALSP problem determines a set which includes the shortest path for every departure time in the given interval. ALSP is…
A Data Mining Approach Combining K-Means Clustering with Bagging Neural Network for Short-term Wind Power Forecasting Abstract-Wind power forecasting (WPF) is significant to guide the dispatching of grid and the production planning of wind farm effectively. The intermittency and volatility of wind leading to the diversity of the training samples have a major impact on…
A family Particle Swarm Optimization based on the family tree Abstract?A family Particle Swarm Optimization based on the family tree. The concept of the family was previously introduced into Particle Swarm Optimization (PSO). To further study the multi-group structure of the Family PSO (FPSO), this paper introduces the family tree into the FPSO. It made…
A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data Abstract? A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data. Feature selection involves identifying a subset of the most useful features that produces compatible results as the original entire set of features. A feature selection algorithm may be evaluated from both the efficiency and…
A General Technique for Top-k Geometric Intersection Query Problems Abstract? A General Technique for Top-k Geometric Intersection Query Problems. In a top-k Geometric Intersection Query (top-k GIQ) problem, a set of n weighted, geometric objects in Rd is to be preprocessed into a compact data structure so that for any query geometric object, q, and…
A Generalized Flow-Based Method for Analysis of Implicit Relationships on Wikipedia Abstract? A Generalized Flow-Based Method for Analysis of Implicit Relationships on Wikipedia. Video View Demo [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File Screenshots Execution Procedure Readme File Addons Video Tutorials Supporting Softwares [/numbers_sections]…
