A Scalable Distributed 2-layered Data Store (SD2DS) for Internet of Things (IoT) systems

• Autorzy: Deniziak S. , Łukawski G. , Bedla M. , Krechowicz A.
• Języki publikacji: EN

Abstrakty

EN

The problem of effective storing and processing of data is a very important aspect of every IoT application. To fulfill these requirements, NoSQL scalable datastores are frequently used. Scalable Distributed 2-layer Data Structures (SD2DS) are examples of such systems. SD2DS is a general purpose structure that can be used as a distributed datastore, easy to adapt to many different needs. In the paper, an enhanced architecture of IoT systems (denoted as IoT*) supplemented with SD2DS is proposed and evaluated. The combination brings many advantages, such as the possibility to create one unified structure consisting of many servers accessible by many clients, usage of different media for storage (such as RAM, hard disk, databases and cloud) and a single access method for both data and data sources.

Słowa kluczowe

EN

IoT; SD2DS; datastore

• Wydawca: Wydawnictwo PAK
• Czasopismo: Measurement Automation Monitoring
• Rocznik: 2015
• Tom: Vol. 61, No. 7
• Strony: 382--384
• Opis fizyczny: Bibliogr. 10 poz., rys.

Twórcy

autor

Deniziak S.

• Department of Information Systems, Kielce University of Technology, Poland, 7 Tysiaclecia PP Ave., 25-314 Kielce, Poland

autor

Łukawski G.

• Department of Information Systems, Kielce University of Technology, Poland, 7 Tysiaclecia PP Ave., 25-314 Kielce, Poland

autor

Bedla M.

• Department of Information Systems, Kielce University of Technology, Poland, 7 Tysiaclecia PP Ave., 25-314 Kielce, Poland

autor

Krechowicz A.

• Department of Information Systems, Kielce University of Technology, Poland, 7 Tysiaclecia PP Ave., 25-314 Kielce, Poland

Bibliografia

• [1] Sapiecha K., Łukawski G.: Scalable Distributed Two–Layer Data Structures (SD2DS). IGI Global, IJDST, 4(2), pp. 15–30, 2013.
• [2] Litwin W., Neimat M.A., Schneider D.A.: LH* – A Scalable, Distributed Data Structure. In ACM TODS, vol. 21, No. 4, pp. 480–525, 1996.
• [3] Di Pasquale A., Nardelli E.: Scalable Distributed Data Structures: A Survey. In Proceedings of WDAS, vol. 9, pp. 87–111, 2000.
• [4] Krechowicz, A., Deniziak, S., Łukawski, G., Bedla, M.: Preserving Data Consistency in Scalable Distributed Two Layer Data Structures. Beyond Databases, Architectures and Structures, CCIS, 2015, p. 126–135.
• [5] Sadalage, P. J., Fowler, M.: NoSQL distilled: a brief guide to the emerging world of polyglot persistence. Addison-Wesley, Upper Saddle River, NJ, 2013.
• [6] memcached - a distributed memory object caching system, http://memcached.org {accessed 4th September 2015}
• [7] Cassandra: The Apache Cassandra Project, http://cassandra.apache.org {accessed 4th September 2015}.
• [8] MongoDB http://mongodb.org {accessed 4th September 2015}.
• [9] Neo4j, the World's Leading Graph Database, http://neo4j.com {accessed 4th September 2015}.
• [10] Litwin W., RP*: A Family of Order Preserving Scalable Distributed Data Structures, VLDB, 1994, pp. 342–353.