@book{MeinelSchnjakinMetzkeetal.2014,
  author    = {Meinel, Christoph and Schnjakin, Maxim and Metzke, Tobias and Freitag, Markus},
  title     = {Anbieter von Cloud Speicherdiensten im {\"U}berblick},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-274-2},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-68780},
  publisher      = {Universit{\"a}t Potsdam},
  pages     = {84},
  year      = {2014},
  abstract  = {Durch die immer st{\"a}rker werdende Flut an digitalen Informationen basieren immer mehr Anwendungen auf der Nutzung von kosteng{\"u}nstigen Cloud Storage Diensten. Die Anzahl der Anbieter, die diese Dienste zur Verf{\"u}gung stellen, hat sich in den letzten Jahren deutlich erh{\"o}ht. Um den passenden Anbieter f{\"u}r eine Anwendung zu finden, m{\"u}ssen verschiedene Kriterien individuell ber{\"u}cksichtigt werden. In der vorliegenden Studie wird eine Auswahl an Anbietern etablierter Basic Storage Diensten vorgestellt und miteinander verglichen. F{\"u}r die Gegen{\"u}berstellung werden Kriterien extrahiert, welche bei jedem der untersuchten Anbieter anwendbar sind und somit eine m{\"o}glichst objektive Beurteilung erlauben. Hierzu geh{\"o}ren unter anderem Kosten, Recht, Sicherheit, Leistungsf{\"a}higkeit sowie bereitgestellte Schnittstellen. Die vorgestellten Kriterien k{\"o}nnen genutzt werden, um Cloud Storage Anbieter bez{\"u}glich eines konkreten Anwendungsfalles zu bewerten.},
  language  = {de}
}
@phdthesis{Tinnefeld2014,
  author    = {Tinnefeld, Christian},
  title     = {Building a columnar database on shared main memory-based storage},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-72063},
  school      = {Universit{\"a}t Potsdam},
  pages     = {175},
  year      = {2014},
  abstract  = {In the field of disk-based parallel database management systems exists a great variety of solutions based on a shared-storage or a shared-nothing architecture. In contrast, main memory-based parallel database management systems are dominated solely by the shared-nothing approach as it preserves the in-memory performance advantage by processing data locally on each server. We argue that this unilateral development is going to cease due to the combination of the following three trends: a) Nowadays network technology features remote direct memory access (RDMA) and narrows the performance gap between accessing main memory inside a server and of a remote server to and even below a single order of magnitude. b) Modern storage systems scale gracefully, are elastic, and provide high-availability. c) A modern storage system such as Stanford's RAMCloud even keeps all data resident in main memory. Exploiting these characteristics in the context of a main-memory parallel database management system is desirable. The advent of RDMA-enabled network technology makes the creation of a parallel main memory DBMS based on a shared-storage approach feasible. This thesis describes building a columnar database on shared main memory-based storage. The thesis discusses the resulting architecture (Part I), the implications on query processing (Part II), and presents an evaluation of the resulting solution in terms of performance, high-availability, and elasticity (Part III). In our architecture, we use Stanford's RAMCloud as shared-storage, and the self-designed and developed in-memory AnalyticsDB as relational query processor on top. AnalyticsDB encapsulates data access and operator execution via an interface which allows seamless switching between local and remote main memory, while RAMCloud provides not only storage capacity, but also processing power. Combining both aspects allows pushing-down the execution of database operators into the storage system. We describe how the columnar data processed by AnalyticsDB is mapped to RAMCloud's key-value data model and how the performance advantages of columnar data storage can be preserved. The combination of fast network technology and the possibility to execute database operators in the storage system opens the discussion for site selection. We construct a system model that allows the estimation of operator execution costs in terms of network transfer, data processed in memory, and wall time. This can be used for database operators that work on one relation at a time - such as a scan or materialize operation - to discuss the site selection problem (data pull vs. operator push). Since a database query translates to the execution of several database operators, it is possible that the optimal site selection varies per operator. For the execution of a database operator that works on two (or more) relations at a time, such as a join, the system model is enriched by additional factors such as the chosen algorithm (e.g. Grace- vs. Distributed Block Nested Loop Join vs. Cyclo-Join), the data partitioning of the respective relations, and their overlapping as well as the allowed resource allocation. We present an evaluation on a cluster with 60 nodes where all nodes are connected via RDMA-enabled network equipment. We show that query processing performance is about 2.4x slower if everything is done via the data pull operator execution strategy (i.e. RAMCloud is being used only for data access) and about 27\% slower if operator execution is also supported inside RAMCloud (in comparison to operating only on main memory inside a server without any network communication at all). The fast-crash recovery feature of RAMCloud can be leveraged to provide high-availability, e.g. a server crash during query execution only delays the query response for about one second. Our solution is elastic in a way that it can adapt to changing workloads a) within seconds, b) without interruption of the ongoing query processing, and c) without manual intervention.},
  language  = {en}
}
@book{OPUS4-6986,
  title     = {HPI Future SOC Lab},
  editor    = {Meinel, Christoph and Polze, Andreas and Oswald, Gerhard and Strotmann, Rolf and Seibold, Ulrich and Schulzki, Bernard},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-276-6},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-68991},
  publisher      = {Universit{\"a}t Potsdam},
  pages     = {ii, 118},
  year      = {2013},
  abstract  = {The "HPI Future SOC Lab" is a cooperation of the Hasso-Plattner-Institut (HPI) and industrial partners. Its mission is to enable and promote exchange and interaction between the research community and the industrial partners. The HPI Future SOC Lab provides researchers with free of charge access to a complete infrastructure of state of the art hard- and software. This infrastructure includes components, which might be too expensive for an ordinary research environment, such as servers with up to 64 cores. The offerings address researchers particularly from but not limited to the areas of computer science and business information systems. Main areas of research include cloud computing, parallelization, and In-Memory technologies. This technical report presents results of research projects executed in 2012. Selected projects have presented their results on June 18th and November 26th 2012 at the Future SOC Lab Day events.},
  language  = {en}
}
@book{OPUS4-8627,
  title     = {HPI Future SOC Lab},
  editor    = {Meinel, Christoph and Polze, Andreas and Oswald, Gerhard and Strotmann, Rolf and Seibold, Ulrich and Schulzki, Bernhard},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-86271},
  publisher      = {Universit{\"a}t Potsdam},
  pages     = {vi, 250},
  year      = {2014},
  abstract  = {Das Future SOC Lab am HPI ist eine Kooperation des Hasso-Plattner-Instituts mit verschiedenen Industriepartnern. Seine Aufgabe ist die Erm{\"o}glichung und F{\"o}rderung des Austausches zwischen Forschungsgemeinschaft und Industrie. Am Lab wird interessierten Wissenschaftlern eine Infrastruktur von neuester Hard- und Software kostenfrei f{\"u}r Forschungszwecke zur Verf{\"u}gung gestellt. Dazu z{\"a}hlen teilweise noch nicht am Markt verf{\"u}gbare Technologien, die im normalen Hochschulbereich in der Regel nicht zu finanzieren w{\"a}ren, bspw. Server mit bis zu 64 Cores und 2 TB Hauptspeicher. Diese Angebote richten sich insbesondere an Wissenschaftler in den Gebieten Informatik und Wirtschaftsinformatik. Einige der Schwerpunkte sind Cloud Computing, Parallelisierung und In-Memory Technologien. In diesem Technischen Bericht werden die Ergebnisse der Forschungsprojekte des Jahres 2014 vorgestellt. Ausgew{\"a}hlte Projekte stellten ihre Ergebnisse am 9. April 2014 und 29. Oktober 2014 im Rahmen der Future SOC Lab Tag Veranstaltungen vor.},
  language  = {en}
}
@book{OPUS4-6982,
  title     = {HPI Future SOC Lab},
  number    = {88},
  editor    = {Meinel, Christoph and Polze, Andreas and Oswald, Gerhard and Strotmann, Rolf and Seibold, Ulrich and Schulzki, Bernard},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-282-7},
  issn      = {1613-5652},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-68195},
  publisher      = {Universit{\"a}t Potsdam},
  pages     = {iii, 174},
  year      = {2014},
  abstract  = {The "HPI Future SOC Lab" is a cooperation of the Hasso-Plattner-Institut (HPI) and industrial partners. Its mission is to enable and promote exchange and interaction between the research community and the industrial partners. The HPI Future SOC Lab provides researchers with free of charge access to a complete infrastructure of state of the art hard- and software. This infrastructure includes components, which might be too expensive for an ordinary research environment, such as servers with up to 64 cores. The offerings address researchers particularly from but not limited to the areas of computer science and business information systems. Main areas of research include cloud computing, parallelization, and In-Memory technologies. This technical report presents results of research projects executed in 2013. Selected projects have presented their results on April 10th and September 24th 2013 at the Future SOC Lab Day events.},
  language  = {en}
}
@inproceedings{OPUS4-7665,
  title     = {Proceedings of the Second HPI Cloud Symposium "Operating the Cloud" 2014},
  number    = {94},
  editor    = {Bosse, Sascha and Elsaid, Mohamed Esam and Feinbube, Frank and M{\"u}ller, Hendrik},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-319-0},
  issn      = {1613-5652},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-76654},
  pages     = {vii, 59},
  year      = {2015},
  abstract  = {Every year, the Hasso Plattner Institute (HPI) invites guests from industry and academia to a collaborative scientific workshop on the topic "Operating the Cloud". Our goal is to provide a forum for the exchange of knowledge and experience between industry and academia. Hence, HPI's Future SOC Lab is the adequate environment to host this event which is also supported by BITKOM. On the occasion of this workshop we called for submissions of research papers and practitioners' reports. "Operating the Cloud" aims to be a platform for productive discussions of innovative ideas, visions, and upcoming technologies in the field of cloud operation and administration. In this workshop proceedings the results of the second HPI cloud symposium "Operating the Cloud" 2014 are published. We thank the authors for exciting presentations and insights into their current work and research. Moreover, we look forward to more interesting submissions for the upcoming symposium in 2015.},
  language  = {en}
}
@book{OPUS4-8754,
  title     = {Proceedings of the Third HPI Cloud Symposium "Operating the Cloud" 2015},
  number    = {105},
  editor    = {Bartok, David and van der Walt, Estee and Lindemann, Jan and Eschrig, Johannes and Plauth, Max},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-360-2},
  issn      = {1613-5652},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-87548},
  publisher      = {Universit{\"a}t Potsdam},
  pages     = {vii, 63},
  year      = {2016},
  abstract  = {Every year, the Hasso Plattner Institute (HPI) invites guests from industry and academia to a collaborative scientific workshop on the topic "Operating the Cloud". Our goal is to provide a forum for the exchange of knowledge and experience between industry and academia. Hence, HPI's Future SOC Lab is the adequate environment to host this event which is also supported by BITKOM. On the occasion of this workshop we called for submissions of research papers and practitioner's reports. "Operating the Cloud" aims to be a platform for productive discussions of innovative ideas, visions, and upcoming technologies in the field of cloud operation and administration. In this workshop proceedings the results of the third HPI cloud symposium "Operating the Cloud" 2015 are published. We thank the authors for exciting presentations and insights into their current work and research. Moreover, we look forward to more interesting submissions for the upcoming symposium in 2016.},
  language  = {en}
}
@book{MeinelWillemsRoschkeetal.2011,
  author    = {Meinel, Christoph and Willems, Christian and Roschke, Sebastian and Schnjakin, Maxim},
  title     = {Virtualisierung und Cloud Computing : Konzepte, Technologiestudie, Markt{\"u}bersicht},
  isbn      = {978-3-86956-113-4},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-49708},
  publisher      = {Universit{\"a}t Potsdam},
  year      = {2011},
  abstract  = {Virtualisierung und Cloud Computing geh{\"o}ren derzeit zu den wichtigsten Schlagworten f{\"u}r Betreiber von IT Infrastrukturen. Es gibt eine Vielzahl unterschiedlicher Technologien, Produkte und Gesch{\"a}ftsmodelle f{\"u}r vollkommen verschiedene Anwendungsszenarien. Die vorliegende Studie gibt zun{\"a}chst einen detaillierten {\"U}berblick {\"u}ber aktuelle Entwicklungen in Konzepten und Technologien der Virtualisierungstechnologie - von klassischer Servervirtualisierung {\"u}ber Infrastrukturen f{\"u}r virtuelle Arbeitspl{\"a}tze bis zur Anwendungsvirtualisierung und macht den Versuch einer Klassifikation der Virtualisierungsvarianten. Bei der Betrachtung des Cloud Computing-Konzepts werden deren Grundz{\"u}ge sowie verschiedene Architekturvarianten und Anwendungsf{\"a}lle eingef{\"u}hrt. Die ausf{\"u}hrliche Untersuchung von Vorteilen des Cloud Computing sowie m{\"o}glicher Bedenken, die bei der Nutzung von Cloud-Ressourcen im Unternehmen beachtet werden m{\"u}ssen, zeigt, dass Cloud Computing zwar große Chancen bietet, aber nicht f{\"u}r jede Anwendung und nicht f{\"u}r jeden rechtlichen und wirtschaftlichen Rahmen in Frage kommt.. Die anschließende Markt{\"u}bersicht f{\"u}r Virtualisierungstechnologie zeigt, dass die großen Hersteller - Citrix, Microsoft und VMware - jeweils Produkte f{\"u}r fast alle Virtualisierungsvarianten anbieten und hebt entscheidende Unterschiede bzw. die St{\"a}rken der jeweiligen Anbieter heraus. So ist beispielsweise die L{\"o}sung von Citrix f{\"u}r Virtual Desktop Infrastructures sehr ausgereift, w{\"a}hrend Microsoft hier nur auf Standardtechnologie zur{\"u}ckgreifen kann. VMware hat als Marktf{\"u}hrer die gr{\"o}ßte Verbreitung in Rechenzentren gefunden und bietet als einziger Hersteller echte Fehlertoleranz. Microsoft hingegen punktet mit der nahtlosen Integration ihrer Virtualisierungsprodukte in bestehende Windows-Infrastrukturen. Im Bereich der Cloud Computing-Systeme zeigen sich einige quelloffene Softwareprojekte, die durchaus f{\"u}r den produktiven Betrieb von sogenannten privaten Clouds geeignet sind.},
  language  = {de}
}