Cloud agnostic Big Data platform focusing on scalability and cost-efficiency

Bajaber, 2016, Big data 2.0 processing systems: taxonomy and open challenges, J Grid Comput, 14, 379, 10.1007/s10723-016-9371-1 Mell, 2011, The NIST definition of cloud computing, national institute of standards & technology, gaithersburg, MD SZTAKI cloud project homepage. http://cloud.sztaki.hu/en/home [30/08/2017]. MTA cloud project homepage. http://cloud.mta.hu [30/08/2017]. Fernndez-del Castillo, 2015, The EGI federated cloud e-infrastructure, Procedia Comput Sci, 68, 196, 10.1016/j.procs.2015.09.235 2017, Amazon web services, inc., Overv Amazon Web Serv Vavilapalli, 2013, Apache hadoop YARN: yet another resource negotiator Merkel, 2014, Docker: lightweight linux containers for consistent development and deployment, Linux J Chauhan, 2014 Amazon elastic mapreduce. http://docs.aws.amazon.com/ElasticMapReduce/latest/DeveloperGuide/emr-what-is-emr.html[30/08/2017]. Moreno-Vozmediano, 2012, Iaas cloud architecture: from virtualized datacenters to federated cloud infrastructures, IEEE Comput, 45, 65, 10.1109/MC.2012.76 Sefraoui, 2012, Openstack: toward an open-source solution for cloud computing, Int J Comput Appl, 55 Dean, 2008, Simplified data processing on large clusters, Commun ACM, 51, 107113, 10.1145/1327452.1327492 Li, 2013, Hadoop-based ARIMA algorithm and its application in weather forecast, Int J Database Theory Appl, 6, 119132 Schatz, 2009, Cloudburst: highly sensitive read mapping with mapreduce, Bioinformatics, 25, 1363, 10.1093/bioinformatics/btp236 Jiao, 2012, Molecular dynamics simulation: implementation and optimization based on hadoop, 12031207 Shvachko, 2010, The hadoop distributed file system, 1 Kecskeméti, 2014, One click cloud orchestrator: bringing complex applications effortlessly to the clouds, 8806, 38 Kovacs, 2017, Orchestrating federated clouds by occopus Lovas, 2017, Cloud agnostic orchestration for big data research platforms, vol. 15 Mapreduce. http://hadoop.apache.org/docs/current/hadoop-mapreduce-client/hadoop-mapreduce-client-core/MapReduceTutorial.html[28/2/2017]. Occopus. http://occopus.lpds.sztaki.hu [30/08/2017]. Gugnani, 2016, Extending science gateway frameworks to support big data applications in the cloud, J Grid Comput, 10.1007/s10723-016-9369-8 Google cloud dataproc. https://cloud.google.com/dataproc [30/08/2017]. 2015, Hortonworks inc., Cloudbreak 2017, Prometheus, Monitor Syst Time Ser Database Boncea R., Bacivarov I.. A system architecture for monitoring the reliability of iot. 2016. CloudSigma website. http://cloudsigma.com[30/08/2017]. Kacsuk, 2012, WS-PGRADE/gUSE generic DCI gateway framework for a large variety of user communities, J Grid Comput, 10, 601630, 10.1007/s10723-012-9240-5 von Laszewski, 2014, Accessing multiple clouds with cloudmesh, 21 Loughran, 2012, Dynamic deployment of a mapreduce architecture in the cloud, IEEE Internet Comput, 16, 40, 10.1109/MIC.2011.163 Consul by HashiCorp https://www.consul.io/. Babu, 2010, Towards automatic optimization of mapreduce programs, 137 Wang, 2009, Using realistic simulation for performance analysis of mapreduce setups, 19 Apache hadoop HDFS architecture guide. https://hadoop.apache.org/docs/r1.2.1/hdfs_design.