Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Panagiotis Garefalakis"'
Publikováno v:
SoCC
Distributed dataflow systems allow users to express a wide range of computations, including batch, streaming, and machine learning. A recent trend is to unify different computation types as part of a single stream/batch application that combines late
Autor:
Carlo Curino, Gregory R. Ganger, Andrew Chung, Subru Krishnan, Panagiotis Garefalakis, Konstantinos Karanasos
Publikováno v:
SIGMOD Conference
Shared multi-tenant infrastructures have enabled companies to consolidate workloads and data, increasing data-sharing and cross-organizational re-use of job outputs. This same resource- and work-sharing has also increased the risk of missed deadlines
Publikováno v:
EuroSys
EuroSys 2018
EuroSys 2018
The rise in popularity of machine learning, streaming, and latency-sensitive online applications in shared production clusters has raised new challenges for cluster schedulers. To optimize their performance and resilience, these applications require
Publikováno v:
32nd IEEE International Conference on Data Engineering (ICDE)
ICDE
ICDE
Big data processing is no longer restricted to specially-trained engineers. Instead, domain experts, data scientists and data users all want to benefit from applying data mining and machine learning algorithms at scale. A considerable obstacle toward
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c0bc25e249427bbb6d9db61910ab502
http://hdl.handle.net/10044/1/37490
http://hdl.handle.net/10044/1/37490
Publikováno v:
SRDS
In this paper we describe the design and implementation of ACaZoo, a key-value store that combines strong consistency with high performance and high availability. ACaZoo supports the popular column-oriented data model of Apache Cassandra and HBase. I
Autor:
Chrysostomos Zeginis, Kostas Magoutis, Antonis Papaioannou, George Baryannis, Dimitris Plexousakis, Kyriakos Kritikos, Panagiotis Garefalakis
Publikováno v:
Proceedings of the 2013 international workshop on Multi-cloud applications and federated clouds.
In this paper we identify current challenges in the deployment of complex distributed applications on multiple Cloud providers and review the state of the art in model-driven Cloud software engineering. Challenges include lack of support for heteroge
Publikováno v:
Distributed Applications and Interoperable Systems ISBN: 9783642385407
DAIS
DAIS
Distributed highly-available key-value stores have emerged as important building blocks for applications handling large amounts of data. The Apache Cassandra system is one such popular store combining a key distribution mechanism based on consistent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f546ff3fbb6949905d76a83a08bfc7c
https://doi.org/10.1007/978-3-642-38541-4_17
https://doi.org/10.1007/978-3-642-38541-4_17
Autor:
Dimitris Plexousakis, Chrysostomos Zeginis, Konstantina Konsolaki, Panagiotis Garefalakis, Kyriakos Kritikos, Kostas Magoutis
Publikováno v:
Service-Oriented and Cloud Computing ISBN: 9783642406508
ESOCC
ESOCC
Cloud computing is becoming a popular platform to deliver service-based applications (SBAs) based on service-oriented architecture (SOA) principles. Monitoring the performance and functionality of SBAs deployed on multiple Cloud providers (in what is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7606239770c4bbd380cc70d9df5b743
https://doi.org/10.1007/978-3-642-40651-5_16
https://doi.org/10.1007/978-3-642-40651-5_16
Publikováno v:
GreenCom
Increasingly larger data centers constructed to serve Internet-scale enterprise and Cloud computing workloads are creating significant challenges for the management systems designed to operate them. In this paper we present the design and implementat