Data Mining - Concepts and Techniques.

Internet of Things (IoT) has provided a promising opportunity to build powerful industrial systems and applications by leveraging the growing ubiquity of radio-frequency identification (RFID), and wireless, mobile, and sensor devices. A wide range of industrial IoT applications have been developed and deployed in recent years. In an effort to understand the development of IoT in industries, this paper reviews the current research of IoT, key enabling technologies, major IoT applications in industries, and identifies research trends and challenges. A main contribution of this review paper is that it summarizes the current state-of-the-art IoT in industries systematically.

Internet of Things in Industries: A Survey

When things matter

Keynote David Rose The New Vanguard for Business: Connectivity, Design, and the Internet of Things The Internet of Things is the hottest topic of the moment a shift predicted to be as momentous as the impact of the internet itself. The internet has allowed us to share ideas and data largely input by humans. What about a world where data from objects as diverse as umbrellas, fridges, and gas tanks all flows through the internet?

The Internet of things.

A comprehensive survey for scheduling techniques in cloud computing

The emergence of radio frequency identification (RFID) technology brings significant social and economic benefits. As a non line of sight technology, RFID provides an effective way to record movements of objects within a networked RFID system formed by a set of distributed and collaborating parties. A trail of such recorded movements is the foundation for enabling traceability applications. While traceability is a critical aspect of majority of RFID applications, realizing traceability for these applications brings many fundamental research and development issues. In this paper, we assess the requirements for developing traceability applications that use networked RFID technology at their core. We propose a set of criteria for analyzing and comparing the current existing techniques including system architectures and data models. We also outline some research opportunities in the design and development of traceability applications.

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RFID enabled traceability networks: a survey

Radio Frequency Identification (RFID) creates a seamless link between individual objects and their digital natives. It allows objects to be uniquely, automatically and individually identified using wireless communications. With more than a half century’s development, RFID is becoming the mainstream driving force and has been able to provide various benefits in many different industries. In this chapter, we introduce the basic concepts in RFID technologies and its applications. We discuss the characteristics of RFID data and overview the state-of-the-art research on RFID data management. We also highlight some technical challenges in the management and use of RFID data.

RFID: Opportunities and Challenges

In the emerging environment of the Internet of things (IoT), through the connection of billions of radio frequency identification (RFID) tags and sensors to the Internet, applications will generate an unprecedented number of transactions and amount of data that require novel approaches in RFID data stream processing and management. Unfortunately, it is difficult to maintain a distributed model without a shared directory or structured index. In this paper, we propose a fully distributed model for federated RFID data streams. This model combines two techniques, namely, tilted time frame and histogram to represent the patterns of object flows. Our model is efficient in space and can be stored in main memory. The model is built on top of an unstructured P2P overlay. To reduce the overhead of distributed data acquisition, we further propose several algorithms that use a statistically minimum number of network calls to maintain the model. The scalability and efficiency of the proposed model are demonstrated through an extensive set of experiments.

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Modeling Object Flows from Distributed and Federated RFID Data Streams for Efficient Tracking and Tracing

User centricity represents a new trend in the currently flourishing service oriented computing era. By upgrading end-users to prosumers (producer+consumer) and involving them in the process of service creation, both service consumers and service providers can benefit from a cheaper, faster, and better service provisioning. The EU-IST research project OPUCE (Open Platform for User-Centric Service Creation and Execution) aims at building a unique service environment by integrating recent advances in networking, communication and information technology where personalized services can be dynamically created and managed by prosumers. This paper particularly discusses the design and development of a service repository, which is at the very core of the OPUCE platform. The repository consists of two main components: a fully functioned XML registry supporting facet-based access to service descriptions, and a novel semantic service browser that supports prosumers who are not technically experienced to explore and discover services in an intuitive and visualized manner. We demonstrate the benefits of our design by conducting usability and performance studies.

A semantically enhanced service repository for user-centric service discovery and management

Recently, the development of cloud computing has received considerable attention. For cloud service providers, packing VMs onto a small number of servers is an effective way to reduce energy costs, so as to improve the efficiency of the data center. However allocating too many VMs on a physical machine may cause some hot spots which violate the SLA of applications. Load balancing of the entire system is hence needed to guarantee the SLA. In this paper, we present a simulated-annealing load balancing algorithm for solving the resource allocation and scheduling problem in a cloud computing environment. Experimental results show that this method is able to achieve load balancing, and performs better than the round robin and basic simulated-annealing algorithms.

Yanbo Wu

Papers

RFID enabled traceability networks: a survey

RFID: Opportunities and Challenges

Modeling Object Flows from Distributed and Federated RFID Data Streams for Efficient Tracking and Tracing

A semantically enhanced service repository for user-centric service discovery and management

Simulated-Annealing Load Balancing for Resource Allocation in Cloud Environments