All Outputs (9)

Adaptive partitioning using partial replication for sensor data (2018)
Conference Proceeding
Kalavadia, B., Bhatia, T., Padiya, T., Pandat, A., & Bhise, M. (2019). Adaptive partitioning using partial replication for sensor data. In Distributed Computing and Internet Technology: 15th International Conference, ICDCIT 2019, Bhubaneswar, India, January 10-13, 2019, Proceedings 15 (260-269). https://doi.org/10.1007/978-3-030-05366-6_22

There is a huge increase in IoT network size and applications. It has increased the amount of the IoT data that needs to be handled by the applications. State-of-the art workload based static partitioning methods scale poorly and often result in poor... Read More about Adaptive partitioning using partial replication for sensor data.

Log based method for faster IoT queries (2017)
Conference Proceeding
Jain, A., Padiya, T., & Bhise, M. (2017). Log based method for faster IoT queries. In 2017 IEEE Region 10 Symposium (TENSYMP) (1-4). https://doi.org/10.1109/TENCONSpring.2017.8070066

With increase in size of Internet of Things IoT device networks and applications, tremendous increase is witnessed in IoT data. Efficient storage and querying of this data is of major concern. This paper addresses the issue of faster query processing... Read More about Log based method for faster IoT queries.

DWAHP: workload aware hybrid partitioning and distribution of RDF data (2017)
Conference Proceeding
Padiya, T., & Bhise, M. (2017). DWAHP: workload aware hybrid partitioning and distribution of RDF data. In IDEAS '17: Proceedings of the 21st International Database Engineering & Applications Symposium (235-241). https://doi.org/10.1145/3105831.3105864

Proliferation of RDF data has reached to a peak where data is partitioned across multiple nodes. Significant contribution for developing solutions to manage RDF data in distributed environment is witnessed in recent years. We propose a workload aware... Read More about DWAHP: workload aware hybrid partitioning and distribution of RDF data.

Workload aware hybrid partitioning (2016)
Conference Proceeding
Padiya, T., Kanwar, J. J., & Bhise, M. (2016). Workload aware hybrid partitioning. In COMPUTE '16: Proceedings of the 9th Annual ACM India Conference (51-58)

Real life databases exhibit highly skewed access patterns. These skewed access patterns can be exploited to partition the data considering the query workload. The presented work proposes Workload Aware Hybrid Partitioning (WAHP). WAHP identifies clus... Read More about Workload aware hybrid partitioning.

Hot and cold data classification for main memory databases (2015)
Conference Proceeding
Padiya, T., & Bhise, M. (2015). Hot and cold data classification for main memory databases. In PhD Forum collocated with IEEE International Parallel and Distributed Processing Symposium IPDPS (25-29)

Query execution for RDF data on row and column store (2015)
Conference Proceeding
Padiya, T., Bhise, M., Vasani, S., & Pandey, M. (2015). Query execution for RDF data on row and column store. In Distributed Computing and Internet Technology: 11th International Conference, ICDCIT 2015, Bhubaneswar, India, February 5-8, 2015. Proceedings 11 (403-408). https://doi.org/10.1007/978-3-319-14977-6_43

This paper shows experimental comparison between various data storage techniques to manage RDF data. The work represents evaluation of query performance in terms of query execution time and data scalability, using row and column store for various dat... Read More about Query execution for RDF data on row and column store.

Query execution for rdf data using structure indexed vertical partitioning (2015)
Conference Proceeding
Shah, B., Padiya, T., & Bhise, M. (2015). Query execution for rdf data using structure indexed vertical partitioning. In 2015 IEEE international parallel and distributed processing symposium workshop (575-584). https://doi.org/10.1109/IPDPSW.2015.143

The paper explores use of various partitioning methods to store RDF data effectively, to meet the needs of extensively growing highly interactive semantic web applications. It proposes a combinational approach of structure index partitioning and vert... Read More about Query execution for rdf data using structure indexed vertical partitioning.

Data management for Internet of Things (2015)
Conference Proceeding
Padiya, T., Bhise, M., & Rajkotiya, P. (2015). Data management for Internet of Things. In 2015 IEEE Region 10 Symposium (62-65). https://doi.org/10.1109/TENSYMP.2015.26

Internet of Things is projected to connect uniquely identifiable devices over the network to build an interactive system with high velocity and volume of data placing forth a challenge of interoperability between such devices. RDF provides a common s... Read More about Data management for Internet of Things.

Faster query execution for partitioned RDF data (2013)
Conference Proceeding
Vasani, S., Pandey, M., Bhise, M., & Padiya, T. (2013). Faster query execution for partitioned RDF data. In C. Hota, & P. K. Srimani (Eds.), Distributed Computing and Internet Technology: 9th International Conference, ICDCIT 2013, Bhubaneswar, India, February 5-8, 2013. Proceedings 9 (547-560)

This work demonstrates use of Materialized Views to enhance query performance for partitioned RDF data. Given a query, our system determines which views or combinations thereof can be used to answer it. Break- even analysis for the proposed system ha... Read More about Faster query execution for partitioned RDF data.