7,245 research outputs found
Locality-Adaptive Parallel Hash Joins Using Hardware Transactional Memory
Previous work [1] has claimed that the best performing implementation of in-memory hash joins is based on (radix-)partitioning of the build-side input. Indeed, despite the overhead of partitioning, the benefits from increased cache-locality and synchronization free parallelism in the build-phase outweigh the costs when the input data is randomly ordered. However, many datasets already exhibit significant spatial locality (i.e., non-randomness) due to the way data items enter the database: through periodic ETL or trickle loaded in the form of transactions. In such cases, the first benefit of partitioning â increased locality â is largely irrelevant. In this paper, we demonstrate how hardware transactional memory (HTM) can render the other benefit, freedom from synchronization, irrelevant as well. Specifically, using careful analysis and engineering, we develop an adaptive hash join implementation that outperforms parallel radix-partitioned hash joins as well as sort-merge joins on data with high spatial locality. In addition, we show how, through lightweight (less than 1% overhead) runtime monitoring of the transaction abort rate, our implementation can detect inputs with low spatial locality and dynamically fall back to radix-partitioning of the build-side input. The result is a hash join implementation that is more than 3 times faster than the state-of-the-art on high-locality data and never more than 1% slower
Knowledge Representation Concepts for Automated SLA Management
Outsourcing of complex IT infrastructure to IT service providers has
increased substantially during the past years. IT service providers must be
able to fulfil their service-quality commitments based upon predefined Service
Level Agreements (SLAs) with the service customer. They need to manage, execute
and maintain thousands of SLAs for different customers and different types of
services, which needs new levels of flexibility and automation not available
with the current technology. The complexity of contractual logic in SLAs
requires new forms of knowledge representation to automatically draw inferences
and execute contractual agreements. A logic-based approach provides several
advantages including automated rule chaining allowing for compact knowledge
representation as well as flexibility to adapt to rapidly changing business
requirements. We suggest adequate logical formalisms for representation and
enforcement of SLA rules and describe a proof-of-concept implementation. The
article describes selected formalisms of the ContractLog KR and their adequacy
for automated SLA management and presents results of experiments to demonstrate
flexibility and scalability of the approach.Comment: Paschke, A. and Bichler, M.: Knowledge Representation Concepts for
Automated SLA Management, Int. Journal of Decision Support Systems (DSS),
submitted 19th March 200
Real-time scheduling of transactions in multicore systems
International audienceTransactional memory has attracted much interest for multicore systems as it eases programming and avoids the problems of lock-based methods. However, introducing real-time scheduling of transactions in multicore systems is an open problem. Existing solutions for real-time scheduling consider either tasks in multiprocessor systems or transactions in database systems. In this paper, we show that these solutions are not suitable for multicore systems. And we discuss the main challenges to introduce real-time scheduling within transactional memory in multicore systems
Tracing postrepresentational visions of the city: representing the unrepresentable Skateworlds of Tyneside
In any visualisation of the city more is left unseen than made visible. Contemporary visualisations of the city are increasingly influenced by quantification, and thus anything which cannot be quantified is hidden. In contrast, we explore the use of âlo-fiâ, doodled, participatory maps made by skateboarders in Tyneside, England, as a means to represent their cityscape. Drawing on established work an skateboarding and recent developments in cartography, we argue that skateboarders understand the city from a postrepresentational perspective. Such a framing presents a series of challenges to map their worlds which we explore through a processual account of our mapmaking practice. In this process we chart how skateboardersâ mappings became part of a more significant interplay of performance, identity, visualisation, and exhibition. The paper makes contributions to the emerging field of postrepresentational cartography and argues that its processual focus provides useful tools to understand how visions of the city are produced
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