Alexander Zeier

ORCID: 0000-0003-1717-5029
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About
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Research Areas
  • Advanced Database Systems and Queries
  • Cloud Computing and Resource Management
  • Advanced Data Storage Technologies
  • Distributed systems and fault tolerance
  • Service-Oriented Architecture and Web Services
  • RFID technology advancements
  • Business Process Modeling and Analysis
  • Big Data and Business Intelligence
  • ERP Systems Implementation and Impact
  • User Authentication and Security Systems
  • Advanced Software Engineering Methodologies
  • Data Management and Algorithms
  • Distributed and Parallel Computing Systems
  • Semantic Web and Ontologies
  • Parallel Computing and Optimization Techniques
  • Team Dynamics and Performance
  • Flexible and Reconfigurable Manufacturing Systems
  • Corporate Governance and Management
  • Software Engineering Research
  • Data Quality and Management
  • Advanced Authentication Protocols Security
  • Algorithms and Data Compression
  • Collaboration in agile enterprises
  • Software Testing and Debugging Techniques
  • Digitalization, Law, and Regulation

Otto-von-Guericke University Magdeburg
2024

Accenture (Germany)
2023

Darmstadt University of Applied Sciences
2019

Hasso Plattner Institute
2008-2012

Massachusetts Institute of Technology
2011-2012

University of Potsdam
2009-2012

Friedrich-Alexander-Universität Erlangen-Nürnberg
2002

Bayer (Germany)
1999

In this paper, we describe a main memory hybrid database system called HYRISE, which automatically partitions tables into vertical of varying widths depending on how the columns table are accessed. For accessed as part analytical queries (e.g., via sequential scans), narrow perform better, because, when scanning single column, cache locality is improved if values that column stored contiguously. contrast, for OLTP-style queries, wider because such transactions frequently insert, delete,...

10.14778/1921071.1921077 article EN Proceedings of the VLDB Endowment 2010-11-01

The availability of huge system memory, even on standard servers, generated a lot interest in main memory database engines. In data warehouse systems, highly compressed column-oriented structures are quite prominent. order to scale with the volume and load, many these systems distributed shared-nothing approach. fundamental principle all is full table scan over one or multiple columns. Recent research proposed different techniques speedup scans like intelligent compression using an...

10.14778/1687627.1687671 article EN Proceedings of the VLDB Endowment 2009-08-01

Read-optimized columnar databases use differential updates to handle writes by maintaining a separate write-optimized delta partition which is periodically merged with the read-optimized and compressed main partition. This merge process introduces significant overheads unacceptable downtimes in update intensive systems, aspiring combine transactional analytical workloads into one system. In first part of paper, we report data analyses 12 SAP Business Suite customer systems. second half,...

10.14778/2047485.2047491 article EN Proceedings of the VLDB Endowment 2011-09-01

A number of governments and organizations around the world agree that first step to address national international problems such as energy independence, global warming or emergency resilience, is redesign electricity networks, known Smart Grids. Typically, power grids have "broadcasted" from generation plants large population consumers on a suboptimal way. Nevertheless, fusion delivery networks digital information along with introduction intelligent monitoring systems (Smart Meters)...

10.1109/smartgrid.2010.5622058 preprint EN 2010-10-01

In Software-as-a-Service, multiple tenants are typically consolidated into the same database instance to reduce costs. For analytics-as-a-service, in-memory column databases especially suitable because they offer very short response times. This paper studies automation of operational tasks in multi-tenant clusters. As a prerequisite, we develop model for predicting whether assignment particular tenant server cluster will lead violations time goals. is then extended capture drops capacity...

10.1109/icde.2011.5767936 article EN 2011-04-01

Although the achievements of EPCglobal standardization efforts in last years are substantial and diffusion network continues, a service to access item-level information stored at potentially unknown supply chain partners is still missing. Without this 'Discovery Service' cannot be used with business partners. In contribution we present novel Discovery Service approach. contrast other approaches use aggregate data interest. This eliminates problems solve, e.g. assuring ownership, low control...

10.1109/hicss.2010.47 article EN 2010-01-01

In this research article, the buzzwords of digital thread, twin, and Industry 4.0 are examined by means a systematic literature review. The key concepts shaping these paradigms investigated to achieve an overview existing solutions. First, body is explored provide general observations on similarities differences between concepts. Subsequently, technologies provided that necessary vision thread. Based identified technologies, state-of-the-art solutions relating thread discussed. Finally, work...

10.1016/j.procs.2022.12.387 article EN Procedia Computer Science 2023-01-01

The amount of counterfeit pharmaceuticals in the European-pharmaceutical supply chain increased enormously past years. Thus, European Commission introduced an amendment which will lead to new information systems. No realistic test data for these systems is available yet hinders progress designing and implementing appropriate We make a first step close this gap by providing respects upcoming legislative changes. For purpose, we provide four different scenarios differ size aspect legal...

10.1109/simul.2009.9 article EN 2009-09-01

The retailing industry witnessed a significant shift in the past years, which introduced modifications standard procedures and regular practices of supply chains (SC). These necessary worldwide distress caused major disruptions instabilities SC. Organizations started developing digital-transformation strategies, include integration analysis external data sources to detect SC retain competitive advantage market. Developing such strategies requires exploring current technologies investigating...

10.1016/j.procs.2022.12.386 article EN Procedia Computer Science 2023-01-01
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