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MeT

Francisco Cruz, Francisco Maia, Miguel Matos, Rui Oliveira, João Paulo, José Pereira, Ricardo Vilaça
2013 Proceedings of the 8th ACM European Conference on Computer Systems - EuroSys '13  
MET is a prototype for a Cloud-enabled framework that can be used alone or in conjunction with OpenStack for the automatic and heterogeneous reconfiguration of a HBase deployment.  ...  Our evaluation, conducted using the YCSB workload generator and a TPC-C workload, shows that MET is able to i) autonomously achieve the performance of a manual configured cluster and ii) quickly reconfigure  ...  Valério de Carvalho for his valuable insights on bin-packing problems.  ... 
doi:10.1145/2465351.2465370 dblp:conf/eurosys/CruzMMOPPV13 fatcat:mpostam25rc6pc7vvfed52jvfq

Automated workload-aware elasticity of NoSQL clusters in the cloud

Evie Kassela, Christina Boumpouka, Ioannis Konstantinou, Nectarios Koziris
2014 2014 IEEE International Conference on Big Data (Big Data)  
We perform a thorough analysis of how different query types are handled by modern NoSQL systems and evaluate the performance of a NoSQL cluster of varying size, over mixed workload types and magnitudes  ...  We perform an extensive experimental evaluation of workload aware and unaware versions on an HBase cluster and our analysis confirms that the former can operate successfully in any environment, behaving  ...  are met [8] is a required characteristic in order to setup an end-to-end elastic offering.  ... 
doi:10.1109/bigdata.2014.7004232 dblp:conf/bigdataconf/KasselaBKK14 fatcat:4tk2s7qzxng5divdwn4nryllzy

Workload-aware table splitting for NoSQL

Francisco Cruz, Francisco Maia, Rui Oliveira, Ricardo Vilaça
2014 Proceedings of the 29th Annual ACM Symposium on Applied Computing - SAC '14  
In particular, data tables are horizontally partitioned and spread across nodes for load balancing.  ...  In this paper we propose an automated table splitting mechanism that takes into account the system workload. We evaluate such mechanism showing that it simple, non-intrusive and effective.  ...  ACKNOWLEDGMENTS This work is part-funded by; ERDF -European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by National Funds through the FCT -Fundação  ... 
doi:10.1145/2554850.2555027 dblp:conf/sac/CruzMOV14 fatcat:7ao2bu5kz5ez5nggilrxiqku2q

Automatic scaling of selective SPARQL joins using the TIRAMOLA system

Evangelos Angelou, Nikolaos Papailiou, Ioannis Konstantinou, Dimitrios Tsoumakos, Nectarios Koziris
2012 Proceedings of the 4th International Workshop on Semantic Web Information Management - SWIM '12  
We then proceed to describe TIRA-MOLA, a cloud-enabled framework for automatic provisioning of elastic resources on any NoSQL platform.  ...  In this work, we extensively study the performance of some popular NoSQL databases over an elastic cloud infrastructure.  ...  Herodotou et al [18] present the Elastizer, a system for automatic sizing of a MapReduce cluster according to workload profiling.  ... 
doi:10.1145/2237867.2237868 dblp:conf/sigmod/AngelouPKTK12 fatcat:emc6ulbbf5eelbo3bqsgtga6h4

Benchmarking data warehouse systems in the cloud

Rim Moussa
2013 2013 ACS International Conference on Computer Systems and Applications (AICCSA)  
Then, we argue that TPC-H benchmark -the most prominent benchmark for decision support system, mismatches cloud rationale (scalability, elasticity, pay-per-use, fault-tolerance features) and Customer Relationship  ...  Finally, we present new requirements for implementing a benchmark for data warehouse systems in the cloud.  ...  It models a cloud as a combination of four standard services, namely, (1) Elastic Computer Cluster Service: The cluster includes an elastic number of virtual instances for a workload processing; (2) Persistent  ... 
doi:10.1109/aiccsa.2013.6616442 dblp:conf/aiccsa/Moussa13 fatcat:y4mcf7xk3zdjzgd473dufhpeau

Orestes: A scalable Database-as-a-Service architecture for low latency

Felix Gessert, Florian Bucklers, Norbert Ritter
2014 2014 IEEE 30th International Conference on Data Engineering Workshops  
Today, the applicability of database systems in cloud environments is considerably restricted because of three major problems: I) high network latencies for remote/mobile clients, II) lack of elastic horizontal  ...  ORESTES exposes cloud-hosted NoSQL database systems through a scalable tier of REST servers.  ...  Scalable Caching-aware Optimistic Transactions Recent NoSQL databases designed for scalability (like BigTable or Dynamo) mainly sacrifice the transaction concept [10] .  ... 
doi:10.1109/icdew.2014.6818329 dblp:conf/icde/GessertBR14 fatcat:aqxjgpvo5jgglk6lvet4tcwluu

Challenges in NoSQL-Based Distributed Data Storage: A Systematic Literature Review

Ramzan, Bajwa, Kazmi, Amna
2019 Electronics  
Different models are used for execution.  ...  Key-Value stores (KVSs) are the most flexible and simplest model of NoSQL databases, which have become highly popular over the last few years due to their salient features such as availability, portability  ...  It is a suite that evaluates the retrieval as well as maintenance performance of NoSQL databases for a set of desired workloads [S02][S04][S06] [S08][S14][S19] [S27][S33] Microbenchmark It is  ... 
doi:10.3390/electronics8050488 fatcat:oweb7lhcabcqzahdg2ijwbiqqm

Elastic Scaling of e-Infrastructures to Support Data-Intensive Research Collaborations

Marcos Nino-Ruiz, Christopher Bayliss, Gerson Galang, Guido Grazioli, Rosana Rabanal, Martin Tomko, Richard O. Sinnott
2014 2014 IEEE 10th International Conference on e-Science  
We present how this architecture solution leverages the intersection of high throughput computing (HTC), infrastructure as a service (IaaS) Cloud services and big data technologies including use of NoSQL  ...  We present how this architecture solution leverages the intersection of high throughput computing (HTC), infrastructure as a service (IaaS) Cloud services and big data technologies including use of NoSQL  ...  are met, and continuous integration of dynamic deployment for new requirements.  ... 
doi:10.1109/escience.2014.13 dblp:conf/eScience/Nino-RuizBGGRTS14 fatcat:qxvje4ipy5bafkdzbpbmafe4zq

Elasticity management of Streaming Data Analytics Flows on clouds

Alireza Khoshkbarforoushha, Alireza Khosravian, Rajiv Ranjan
2017 Journal of computer and system sciences (Print)  
we still lack effective resource management techniques across an SDAF, leaving users struggling with a key question of: "How much share of different resources (e.g. queue partitions, compute servers, NoSQL  ...  Similarly, in queueing theory every model is built upon a number of assumptions such as arrival process that may not be met by certain applications and workloads.  ...  In [28] , the authors proposed a fixed-gain controller for elasticity management of Hadoop Distributed File System (HDFS) under dynamic web 2.0 workloads.  ... 
doi:10.1016/j.jcss.2016.11.002 fatcat:clwx4od7nnh5xdwm4lfhncf34u

Elastic Business Process Management: State of the art and open challenges for BPM in the cloud

Stefan Schulte, Christian Janiesch, Srikumar Venugopal, Ingo Weber, Philipp Hoenisch
2015 Future generations computer systems  
for elastic processes.  ...  Based on our findings, we identify open issues and outline possible research directions for the realization of elastic processes and elastic Business Process Management.  ...  workloads.  ... 
doi:10.1016/j.future.2014.09.005 fatcat:4cgibc4xangerdwbnfgxobs2xq

Enterprise Database Applications and the Cloud: A Difficult Road Ahead

Michael Stonebraker, Andrew Pavlo, Rebecca Taft, Michael L. Brodie
2014 2014 IEEE International Conference on Cloud Engineering  
In summary, there is a difficult road ahead for enterprise database applications.  ...  There is considerable interest in moving DBMS applications from inside enterprise data centers to the cloud, both to reduce cost and to increase flexibility and elasticity.  ...  In order for them to be elastic, they must be coded as parallel programs, either for running on a parallel DBMS or on a distributed computing framework.  ... 
doi:10.1109/ic2e.2014.97 dblp:conf/ic2e/StonebrakerPTB14 fatcat:dlusxnzsjbazjb2hdzmd34t7uu

DICE: Quality-Driven Development of Data-Intensive Cloud Applications

Giuliano Casale, Danilo Ardagna, Matej Artac, Franck Barbier, Elisabetta Di Nitto, Alexis Henry, Gabriel Iuhasz, Christophe Joubert, Jose Merseguer, Victor Ion Munteanu, Juan Fernando Perez, Dana Petcu (+4 others)
2015 2015 IEEE/ACM 7th International Workshop on Modeling in Software Engineering  
To foster a community response to these challenges, we present the research agenda of DICE, a quality-aware MDE methodology for data-intensive cloud applications.  ...  In this paper, we consider the question of how quality-aware MDE should support data-intensive software systems.  ...  Elastic MapReduce or cloudbased storage services.  ... 
doi:10.1109/mise.2015.21 dblp:conf/icse/CasaleAABNHIJMM15 fatcat:j75xju3pinfm5eouks4ky7zwni

Self-tuning in Distributed Transactional Memory [chapter]

Maria Couceiro, Diego Didona, Luís Rodrigues, Paolo Romano
2015 Lecture Notes in Computer Science  
Unfortunately, there is no "one-size-fits-all" design that offers the desirable performance across all possible workloads and scales.  ...  These observations have motivated the emergence of self-tuning schemes for automatically adapting the algorithms and parameters used by the main building blocks of DTM systems.  ...  In the elastic scaling area, for instance, we are not aware of solutions for estimating the impact on performance due to the occurrence of the state transfer activities that are necessary to redistribute  ... 
doi:10.1007/978-3-319-14720-8_19 fatcat:gwngrc57snd3ddzfanppruu5am

Computational resource management for data-driven applications with deadline constraints

Rafael Tolosana-Calasanz, Javier Diaz-Montes, Omer F. Rana, Manish Parashar, Erotokritos Xydas, Charalampos Marmaras, Panagiotis Papadopoulos, Liana Cipcigan
2016 Concurrency and Computation  
We consider predicting EV charging demand as a potential workload with execution time constraints.  ...  The objective is to ensure that there is enough computational capacity to satisfy the requirements for managing EV battery charging requests within specific time constraints.  ...  ACKNOWLEDGMENT This work was supported in part by: the Spanish Ministry of Education, (Framework Program CEI Iberus -Universidad de Zaragoza, for faculty staff, mobility call 2014), the Spanish Ministry  ... 
doi:10.1002/cpe.4018 fatcat:vazb2nagirfpjlvdf5dksqj6j4

Data-Intensive Cloud Computing: Requirements, Expectations, Challenges, and Solutions

Jawwad Shamsi, Muhammad Ali Khojaye, Mohammad Ali Qasmi
2013 Journal of Grid Computing  
In that, separate queues are maintained for each category of workload. 3) Heterogeneity-Aware Task Distribution Challenges In a heterogeneous environmentwhere processing speeds are likely to vary among  ...  However, it does not provide any assurance that user's requirements for task execution are met in a shared environment.  ... 
doi:10.1007/s10723-013-9255-6 fatcat:l27ga4kh7nhnjd6nb6n57autgq
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