The proceedings contain 11 papers. The topics discussed include: reproducible testing of distributed software with middleware virtualization and simulation;dynamic testing of flow graph based parallel applications;sch...
ISBN:
(纸本)9781605580524
The proceedings contain 11 papers. The topics discussed include: reproducible testing of distributed software with middleware virtualization and simulation;dynamic testing of flow graph based parallel applications;scheduling considerations for building dynamic verification tools for MPI;memory tagging in Charm++;support for symmetric shadow memory in multiprocessors;on-the-fly race detection in multi-threaded programs;AtomRace: data race and atomicity violation detector and healer;towards a better collaboration of static and dynamic analyses for testing concurrent programs;software development tools for multi-core/parallel programming;systematic concurrency testing using CHESS;and pitfalls in teaching development and testing of concurrent programs and how to overcome them.
The proceedings contain 89 papers. The special focus in this conference is on Interoperability and Workflow. The topics include: Developing evolutionary cost models for query optimization in a dynamic multidatabase en...
ISBN:
(纸本)3540001069
The proceedings contain 89 papers. The special focus in this conference is on Interoperability and Workflow. The topics include: Developing evolutionary cost models for query optimization in a dynamic multidatabase environment;a conceptual markup language that supports interoperability between business rule modeling systems;directed domain correspondences in federated information sources;synchronization of concurrent workflows using interaction expressions and coordination protocols;an architecture comparison;modeling coordination and control in cross-organizational workflows;view propagation and inconsistency detection for cooperative mobile agents;on real-time top k querying for mobile services;mobile agents in mobile data access systems;using agent control and communication in a distributed workflow information system;an extended alternating-offers bargaining protocol for automated negotiation in multi-agent systems;a human based perception model for cooperative intelligent virtual agents;a decentralized algorithm for coordinating independent peers;supporting peer-to-peer user communities;self-structuring distributed networks for contextual messaging and resource discovery;supporting cooperative learning in distributed project teams;discovering emergent virtual work processes in collaborative systems;flexible merging for asynchronous collaborative systems;a multi-version transaction model to improve data availability in mobile computing;finding trading partners to establish ad-hoc business processes;regulating work in digital enterprises and collecting and querying distributed traces of composite service executions.
The proceedings contain 3 papers. The topics discussed include: ECO-LLM: LLM-based edge cloud optimization;toward using representation learning for cloud resource usage forecasting;and MPIrigen: MPI code generation th...
ISBN:
(纸本)9798400706523
The proceedings contain 3 papers. The topics discussed include: ECO-LLM: LLM-based edge cloud optimization;toward using representation learning for cloud resource usage forecasting;and MPIrigen: MPI code generation through domain-specific language models.
The scalability of systems such as Hive and Spark SQL that are built on top of big data platforms have enabled query processing over very large data sets. However, the per-node performance of these systems is typicall...
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ISBN:
(纸本)9781728112466
The scalability of systems such as Hive and Spark SQL that are built on top of big data platforms have enabled query processing over very large data sets. However, the per-node performance of these systems is typically low compared to traditional relational databases. Conversely, Massively parallel Processing (MPP) databases do not scale as well as these systems. We present HRDBMS, a fully implemented distributed shared-nothing relational database developed with the goal of improving the scalability of OLAP queries. HRDBMS achieves high scalability through a principled combination of techniques from relational and big data systems with novel communication and work-distribution techniques. While we also support serializable transactions, the system has not been optimized for this use case. HRDBMS runs on a custom distributed and asynchronous execution engine that was built from the ground up to support highly parallelized operator implementations. Our experimental comparison with Hive, Spark SQL, and Greenplum confirms that HRDBMS's scalability is on par with Hive and Spark SQL (up to 96 nodes) while its per-node performance can compete with MPP databases like Greenplum.
Data Warehouses are a crucial technology for current competitive organizations in the globalized world. Size, speed and distributed operation are major challenges concerning those systems. Many data warehouses have hu...
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Data Warehouses are a crucial technology for current competitive organizations in the globalized world. Size, speed and distributed operation are major challenges concerning those systems. Many data warehouses have huge sizes and the requirement that queries be processed quickly and efficiently, so parallel solutions art deployed to render the necessary efficiency. distributed operation, on the other hand, concerns global commercial and scientific organizations that need to share their data in a coherent distributed data warehouse. In this article we review the major concepts, systems and research results behind parallel and distributed data warehouses. [Article copies are available for purchase from ***]
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