Towards energy efficient query processing in

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He has experience in designing full-custom circuits for multi-processor systems-on-chip MPSoCslike ADPLLs, register files and high-speed on-chip and off-chip links, in academic and industrial research projects. Her research focuses on energy efficient query processing.

Consequently, they miss many opportunities for energy efficiency. His work focuses on real-time analysis in data-warehouse-systems, in-memory databases for analytic and transactional query processing and support for advanced analytics in databases.

His research interests include circuits for low-power systems-on-chip in advanced technology nodes, with special focus on clocking, data transmission and power management. Today, database systems do not optimize, or even consider, the energy consumption when planning and executing queries.

Since he is Vodafone Chair Professor at TU Dresden, Germany, with 20 companies sponsoring his research on wireless transmission and chip design.

Christian Mayr received the Dipl. She is a member of the scientific staff of Prof. On going work in this area is now expanding this work to cluster and cloud environments running database services.

He received the Dipl. We have developed a framework that explicitly incorporates the expected amount of energy consumed to the query optimization and execution framework of a typical relational database engine.

Thus, database systems have the freedom to make decisions that potentially save energy provided they still meet the performance targets.

His research interests include CMOS image sensors and vision chips, design and modelling of analog and digital parallel VLSI architectures, and neural networks. Gerhard Fettweis earned his Ph. His research interests include design and implementation of low-latency communication channels and systems.

First, in many database deployments, especially in cloud environments, there are implicit or explicit performance targets that are set for database workloads. As a proof-of-concept, we have implemented this framework in a stand-alone instance of SQL Server, and show real reduction in end-to-end energy consumption of queries [LKP11].

Recommended articles Citing articles 0 Sebastian Haas received his Dipl.

Second, modern hardware is increasingly being built with mechanisms that allow software to explicitly control the performance and energy states of the hardware.

He is author or co-author of numerous publications in these fields and has acted as a reviewer for several international journals.

Sebastian Haas has been involved in several European, national and industrial projects focusing on parallel algorithms and mobile terminals.

Stefan Scholze received the Dipl. Our work is based on recognizing two trends. His current research interests include processor architectures for database applications in multiprocessor system-on-chips.Towards an Enhanced Benchmark Advocating Energy-E cient Systems Daniel Schall 1, Volker Hoefner, query processing.

TPC-Energy additionally regulates how power measurements must be performed, e.g., what measurement devices should be used and what Although TPC-Energy made a rst step towards energy-related measures. Energy QO. Database servers consume a tremendous amount of energy to operate, impacting not just the bottom line in terms of the cost of running a database server/service, but also limiting deployment of large database appliances in situations where the amount of power available is a constraint.

applications, moving code to data is far more efficient than moving data to code. Thus, data processing systems try to push energy efficiency of query processing can be improved by a Samsung Smart SSD. We wrote simple selection and.

Abstract: Web search engines are composed by thousands of query processing nodes, i.e., servers dedicated to process user queries. Such many servers consume a significant amount of energy, mostly accountable to their CPUs, but they are necessary to ensure low latencies, since users expect sub-second response times (e.g., ms).

Towards Eco-friendly Database Management Systems

Their combined citations are counted only for the first article. Query processing techniques for solid state drives. D Tsirogiannis, S Harizopoulos, MA Shah, JL Wiener, G Graefe.

Towards energy-efficient database cluster design. W Lang, S Harizopoulos, JM Patel, MA Shah, D Tsirogiannis. In this paper we also highlight some research issues in the emerging area of energy-efficient data processing.

Database management systems (DBMSs) have largely ignored the task of managing the energy consumed during query processing.

Towards energy efficient query processing in
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