Carmelo Polito

According to our database, Carmelo Polito authored at least 10 papers between 2015 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2018

A Hierarchical Hadoop Framework to Handle Big Data in Geo-Distributed Computing Environments.

Orazio Tomarchio, Giuseppe Di Modica, Marco Cavallo, Carmelo Polito

Int. J. Inf. Technol. Syst. Approach, 2018

2017

Bus as a sensor: A mobile sensor nodes network for the air quality monitoring.

Salvatore Michele Biondi, Vincenzo Catania, Salvatore Monteleone, Carmelo Polito

Proceedings of the 13th IEEE International Conference on Wireless and Mobile Computing, 2017

Fragmenting Big Data to Boost the Performance of MapReduce in Geographical Computing Contexts.

Marco Cavallo, Giuseppe Di Modica, Carmelo Polito, Orazio Tomarchio

Proceedings of the International Conference on Big Data Innovations and Applications, 2017

Multi-job Hadoop scheduling to process geo-distributed big data.

Marco Cavallo, Giuseppe Di Modica, Carmelo Polito, Orazio Tomarchio

Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

A LAHC-based Job Scheduling Strategy to Improve Big Data Processing in Geo-distributed Contexts.

Marco Cavallo, Giuseppe Di Modica, Carmelo Polito, Orazio Tomarchio

Proceedings of the 2nd International Conference on Internet of Things, 2017

2016

Application profiling in hierarchical Hadoop for geo-distributed computing environments.

Marco Cavallo, Giuseppe Di Modica, Carmelo Polito, Orazio Tomarchio

Proceedings of the IEEE Symposium on Computers and Communication, 2016

A Hadoop based Framework to Process Geo-distributed Big Data.

Marco Cavallo, Lorenzo Cusmà, Giuseppe Di Modica, Carmelo Polito, Orazio Tomarchio

Proceedings of the CLOSER 2016, 2016

H2F: a hierarchical hadoop framework for big data processing in geo-distributed environments.

Marco Cavallo, Carmelo Polito, Giuseppe Di Modica, Orazio Tomarchio

Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016

2015

A Scheduling Strategy to Run Hadoop Jobs on Geodistributed Data.

Marco Cavallo, Lorenzo Cusmà, Giuseppe Di Modica, Carmelo Polito, Orazio Tomarchio

Proceedings of the Advances in Service-Oriented and Cloud Computing, 2015

Context-aware MapReduce for Geo-distributed Big Data.

Marco Cavallo, Giuseppe Di Modica, Carmelo Polito, Orazio Tomarchio

Proceedings of the CLOSER 2015, 2015