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Choosing a cloud DBMS

Junjay Tan, Thanaa Ghanem, Matthew Perron, Xiangyao Yu, Michael Stonebraker, David DeWitt, Marco Serafini, Ashraf Aboulnaga, Tim Kraska
2019 Proceedings of the VLDB Endowment  
), query engines (Presto, Hive), and a traditional cloud agnostic OLAP database (Vertica).  ...  To this end, it evaluates the TPC-H benchmark across a variety of DBMS offerings running in a cloud environment (AWS) on fast 10Gb+ networks, specifically database-as-a-service offerings (Redshift, Athena  ...  CONCLUSIONS Cloud economics and architectures promote fundamental shifts in DBMS design and usage.  ... 
doi:10.14778/3352063.3352133 fatcat:rssm3pxp4fb3zfgckmde5uf2si

Strabon: A Semantic Geospatial DBMS [chapter]

Kostis Kyzirakos, Manos Karpathiotakis, Manolis Koubarakis
2012 Lecture Notes in Computer Science  
We present Strabon, a new RDF store that supports the state of the art semantic geospatial query languages stSPARQL and GeoSPARQL.  ...  To illustrate the expressive power offered by these query languages and their implementation in Strabon, we concentrate on the new version of the data model stRDF and the query language stSPARQL that we  ...  , a big subset of GeoSPARQL) and an experimental evaluation of Strabon.  ... 
doi:10.1007/978-3-642-35176-1_19 fatcat:coqtsibjwbeqrcszbnxni7r4u4

SLA Definition for Multi-tenant DBMS and its Impact on Query Optimization

Shaoyi Yin, Abdelkader Hameurlain, Franck Morvan
2018 IEEE Transactions on Knowledge and Data Engineering  
A cloud DBMS shared by many tenants is called a multi-tenant DBMS.  ...  For this, a Service Level Agreement (SLA) is usually established between the provider and a tenant.  ...  Problem Formulation In this study, we assume that the database server is a parallel DBMS running on top of a shared-nothing architecture.  ... 
doi:10.1109/tkde.2018.2817235 fatcat:3w642arbybdktn4m2yxjjswqbi

Querying encrypted data

A. Arasu, K. Eguro, R. Kaushik, R. Ramamurthy
2013 2013 IEEE 29th International Conference on Data Engineering (ICDE)  
is only a part of the overall system stack • Usability -Clients need tools and interpretable security models to navigate security-performance tradeoff • Connections to other areas of security -Data privacy  ...  +02] [TFM13] [HMH08] Use P.H.E to push more computation to DBMS Blob Store: Query Processing DBMS Shell Client App DBMS Key • Distributed query processing -Choosing appropriate partitioning  ... 
doi:10.1109/icde.2013.6544919 dblp:conf/icde/ArasuEKR13 fatcat:h3rgj6heajb5dekuq7u5yexe2q

Querying encrypted data

Arvind Arasu, Ken Eguro, Raghav Kaushik, Ravishankar Ramamurthy
2014 Proceedings of the 2014 ACM SIGMOD international conference on Management of data - SIGMOD '14  
is only a part of the overall system stack • Usability -Clients need tools and interpretable security models to navigate security-performance tradeoff • Connections to other areas of security -Data privacy  ...  +02] [TFM13] [HMH08] Use P.H.E to push more computation to DBMS Blob Store: Query Processing DBMS Shell Client App DBMS Key • Distributed query processing -Choosing appropriate partitioning  ... 
doi:10.1145/2588555.2588893 dblp:conf/sigmod/ArasuEKR14 fatcat:wsw42vda5fa2bgyxlgl66nfdhm

Managing Data-Intensive Workloads in a Cloud [chapter]

R. Mian, P. Martin, A. Brown, M. Zhang
2011 Grid and Cloud Database Management  
Why is workload management in cloud different to dbms? Some similarities and some differences arise due to the organization of dbms and clouds.  ...  clouds, the joint techniques for scheduling and provisioning in these systems and related work are worth exploring for their relevance in clouds.  Study the multiplex/scale-out tradeoff: either multiplex  ... 
doi:10.1007/978-3-642-20045-8_12 fatcat:dqm74krsijfqrfqlfkxihixmzu

DAX

Rui Liu, Ashraf Aboulnaga, Kenneth Salem
2013 Proceedings of the VLDB Endowment  
It is not difficult to run a DBMS in the cloud, and in many cases one DBMS instance is enough to support an application's workload.  ...  However, a DBMS running in the cloud (or even on a local server) still needs a way to persistently store its data and protect it against failures.  ...  SYSTEM OVERVIEW The system architecture illustrated in Figure 1 includes a client library for each DBMS tenant and a shared storage tier.  ... 
doi:10.14778/2535570.2488332 fatcat:53qfammswfdqzdaerm5oiwtpkm

Benchmarking cloud-based data management systems

Yingjie Shi, Xiaofeng Meng, Jing Zhao, Xiangmei Hu, Bingbing Liu, Haiping Wang
2010 Proceedings of the second international workshop on Cloud data management - CloudDB '10  
The implementations of existing cloud-based data management systems represent a wide range of approaches, including storage architectures, data models, tradeoffs in consistency and availability, etc.  ...  Cloud-based data management system is emerging as a scalable, fault tolerant and efficient solution to large scale data management.  ...  However, under this kind of architecture, DBMS layer can be a bottleneck for data storage, because all the data storage optimization can only be executed on top of DBMS.  ... 
doi:10.1145/1871929.1871938 dblp:conf/cikm/ShiMZHLW10 fatcat:u6x43hetjbdwbnb3ehjdlyhami

Optimum Resource Allocation of Database in Cloud Computing

Fatma A. Omara, Sherif M. Khattab, Radhya Sahal
2014 Egyptian Informatics Journal  
Cloud computing is a new generation of computing based on virtualization technology. An important application on the cloud is the Database Management Systems (DBMSs).  ...  The VDA is considered a solution for the problem of optimizing the performance of DBMS instances running on virtual machines that share a common physical machine pool.  ...  Also, the cost-performance tradeoff in cloud IaaS has been addressed, where the problem has been formulated as a multi-objective optimization [23] .  ... 
doi:10.1016/j.eij.2014.01.002 fatcat:cad3ywdz6zfcpjnl5jracizqwq

Improving the Scalability of Cloud-Based Resilient Database Servers [chapter]

Luís Soares, José Pereira
2011 Lecture Notes in Computer Science  
Yet, it is unclear whether this is still the best architectural choice, namely, when cloud infrastructure provides seamless virtual shared storage and bills clients on actual disk usage.  ...  Many rely now on public cloud infrastructure-as-a-service for database servers, mainly, by pushing the limits of existing pooling and replication software to operate large shared-nothing virtual server  ...  Then we use a simple analytical model to seek scalability boundaries of different architectures and how shared resources in a cloud infrastructure can better be allocated.  ... 
doi:10.1007/978-3-642-21387-8_11 fatcat:mivklz6tzra3tcq6jjegn2ngm4

Benchmarking OLTP/web databases in the cloud

Carlo A. Curino, Djellel E. Difallah, Andrew Pavlo, Philippe Cudre-Mauroux
2012 Proceedings of the fourth international workshop on Cloud data management - CloudDB '12  
cloud-based scalable architectures.  ...  This experience motivates the OLTP-Bench project, a "batteries-included" benchmarking infrastructure designed for and tested on several relational DBMSs and cloud-based database-as-a-service (DBaaS) offerings  ...  The results in Fig. 4 show that DBMS-A has an erratic latency behavior but offers the best performancevs.-cost ratio. DBMS-B achieves a steadier throughput and lowest latency for a higher price.  ... 
doi:10.1145/2390021.2390025 dblp:conf/cikm/CurinoDPC12 fatcat:gi4z7si24vbh5puwkjpk2g2a44

Cloud Server Benchmarks for Performance Evaluation of New Hardware Architecture [article]

Hao Wu, Fangfei Liu, Ruby B. Lee
2016 arXiv   pre-print
We hope that these cloud benchmarks, ready to run on a dual-machine gem5 simulator or on real machines, can be useful to other researchers interested in improving hardware micro-architecture and cloud  ...  However, commonly used cloud computing server workloads are not well-represented by the SPEC integer and floating-point benchmark and Parsec suites typically used by the computer architecture community  ...  Database Server and Client: MySQL [9] is a wellknown open-source relational Database Management System (DBMS).  ... 
arXiv:1603.01352v1 fatcat:zg6bnl2ssvhyzcmg7bdcvzzt4y

SDN-Based Resource Management for Autonomous Vehicular Networks: A Multi-Access Edge Computing Approach [article]

Haixia Peng, Qiang Ye, Xuemin Shen
2018 arXiv   pre-print
In this article, a new architecture that combines multi-access edge computing (MEC) and software-defined networking (SDN) is proposed for flexible resource management and enhanced resource utilization.  ...  Moreover, by enabling SDN and network function virtualization (NFV) control modules at each cloud-computing and MEC server, an efficient resource allocation framework is proposed to enhance global resource  ...  In order to obtain optimal computing and storing resource allocation while balancing the tradeoff between increasing the computing/storing resource utilization and reducing the task migration cost, a maximization  ... 
arXiv:1809.08966v1 fatcat:u47tqabi2beqffsbqoqsvzwubm

Ginja: One-Dollar Cloud-Based Disaster Recovery For Databases

Joel Alcântara, Tiago Oliveira, Bessani; Alysson
2017 Zenodo  
DR to less than one dollar per month for relevant databases' sizes and workloads (up to 222× less than the traditional approach of having a DBMS replica in a cloud VM); (2) allows a precise control of  ...  We present GINJA, a DR solution for transactional database management systems (DBMS) that uses only cloud storage services such as Amazon S3.  ...  This work was supported by FCT through projects LaSIGE (UID/ CEC/00408/2013) and IRCoC (PTDC/EEI-SCR/6970/2014), and by the European Commission through the H2020 SUPERCLOUD project (643964).  ... 
doi:10.5281/zenodo.1163572 fatcat:pfnkrwx5qnc2vhqpjvp2m7avqy

CAP and Cloud Data Management

Raghu Ramakrishnan
2012 Computer  
PNUTS is a collaboration between the systems research group and the cloud platform group at Yahoo.  ...  I also thank the anonymous referees and Daniel Abadi for useful feedback that improved the article, and Eric Brewer for sharing a preprint of his article that appears elsewhere in this issue.  ...  CLOUD DATA MANAGEMENT Web applications, a major motivator for the development of cloud systems, have grown rapidly in popularity and must be able to scale on demand.  ... 
doi:10.1109/mc.2011.388 fatcat:pur25evzufa53ebyzwcyxunixy
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