A generalized binding framework for the Low Level Reader Protocol (LLRP)

Includes bibliographical references (p. 63).Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.This Master of Engineering Thesis describes the design, implementation and testing of an XML binding framework for the RFID Low Level Reader Protocol (LLRP). LLRP is a recently released protocol which standardizes the interface between RFID readers and RFID middleware. The proposed framework serializes wire objects to the schema of the LLRP binary messages and parameters. The framework also validates the produced XML elements against the LLRP data model. The framework includes a data serialization mechanism on the reader's side and allows for easy and efficient data updates as an RFID Network simulator.by Dimitrios Poulopoulos.M.Eng

Collective Computation in Object-based Parallel Programming Languages

Bal, H.E. [Promotor

The Nested Object Model

In this paper we describe a new model for programming parallel and distributed systems, called the nested object model. It extends the shared data object model and solves an important problem with this model. 1 The Shared Data Object Model Orca is a language for parallel programming on distributed systems, based on the shared data-object model [Bal91, Bal92]. Processes in Orca can share variables (data-objects) of abstract data types (ADTs). Each ADT operation is applied to a single object and is executed atomically. This model can be implemented efficiently on a distributed system by replicating objects with a high read/write ratio. Read operations are executed on the copy in local memory, while write operations are broadcast, using totally-ordered group communication [Kaashoek92] to ensure sequential consistency. The model is a simple and portable form of object-based distributed shared memory. 2 Problems with the Shared Data Object Model Experience with Orca taught us that the maj..