Structured Transaction Definition Language (STDL) is a language for distributed transaction processing, developed by the Multivendor Integration Architecture consortium. STDL is a block-structured language, specialized for transaction processing. It is designed for application portability across multiple STDL implementations on different vendors’ transaction processing systems. This paper descr...

Composite systems are collections of autonomous, heterogeneous, and distributed software applications. In these systems, data dependencies are continuously violated by local operations and therefore, coordination processes are necessary to guarantee overall correctness and consistency. Such coordination processes must be endowed with some form of execution guarantees, which require the particip...

With single thread performance hitting the power wall, hardware architects have turned to chip-level multiprocessing to increase processor performance. As a result, issues related to the construction of scalable and reliable multi-threaded applications have become increasingly important. One of the most pressing problems in concurrent programming has been synchronizing accesses to shared data a...

As new trends in computer architecture lead towards shared-memory chip multiprocessors (CMP), the rules for programming these machines are significantly changing. In the search for alternatives to deadlock-prone lock-based concurrency protocols, Software Transactional Memory (STM) extensions to Haskell have provided an easy-to-use lock-free abstraction mechanism for concurrent programming, usin...

The common “one size does not fit all” paradigm isolates transactional and analytical workloads into separate, specialized database systems. Operational data is periodically replicated to a data warehouse for analytics. Competitiveness of enterprises today, however, depends on real-time reporting on operational data, necessitating an integration of transactional and analytical processing in a s...

the choice of which products to stock among numerous competing products and how much space to allocate to those products are central decisions for retailers. this study aimed to apply data mining approach so that, we got needed information from large datasets of sale transactions to find the relations between products and to make product assortments. thus, we represented a model for product ass...