Big data storage and management in SaaS applications

Gazal, P. D. Kaur. A survey on big data storage strategies [C]//International Conference on Green Computing and Internet of Things (ICGCIoT), IEEE, 2015:280–284.

A. Elomari, A. Maizate, L. Hassouni. Data storage in big data context: A survey [C]//International Conference on Systems of Collaboration (SysCo), IEEE, 2016:1–4.

A. A. Tole. Big data challenges [J]. Database systems journal, 2013, 4(3): 31–40.

Y. Liu, F. Li, Y. Wang. Incentives for delay-constrained data query and feedback in mobile opportunistic crowd-sensing [J]. Sensors, 2016, 16(7): 1138.

Y. Liu, A. E. Bashar, F. Li, et al. Multi-copy data dissemination with probabilistic delay constraint in mobile opportunistic device-to-device networks [C]//IEEE 17th International Symposium on World of Wireless, Mobile and Multimedia Networks (WoWMoM), IEEE, 2016:1–9.

X. B. Chen, S. Wang, Y. Y. Dong, et al. Big data storage architecture design in cloud computing [C]//National Conference on Big Data Technology and Applications, Springer, 2015:7–14.

P. P. Srivastava, S. Goyal, A. Kumar. Analysis of various nosql database [C]//International Conference on Green Computing and Internet of Things (ICGCIoT), IEEE, 2015:539–544.

H. L. Zhang, Y. Wang, J. H. Han. Middleware design for integrating relational database and nosql based on data dictionary [C]//International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE), IEEE, 2011:1469–1472.

R. Ranjan. Streaming big data processing in datacenter clouds [J]. IEEE cloud computing, 2014, 1(1): 78–83.

K. Grolinger, W. A. Higashino, A. Tiwari, et al. Data management in cloud environments: Nosql and newsql data stores [J]. Journal of cloud computing: advances, systems and applications, 2013, 2(1): 22.

Mongodb bringing online big data to business intelligence and analytics [EB/OL]. https://www. mongodb.com/collateral/mongodb-bringing-online-big-data-to-bi-and-analytics, 2017.

H. H. Shahraki, T. J. Gandomani, M. Z. Nafchi. A novel method for evaluation of nosql databases: A case study of cassandra and redis [J]. Journal of theoretical and applied information technology, 2017, 95(6): 1372–1381.

R. Kanwar, P. Trivedi, K. Singh. Nosql, a solution for distributed database management system [J]. International journal of computer applications, 2013, 67(2): 6–9.

P. C´ordova. Analysis of real time stream processing systems considering latency [R]. White paper, 2015.

Apache Kafka [EB/OL]. https://kafka.apache.org/intro, 2017.

Lambda architecture [EB/OL]. http://lambda-architecture.net/, 2017.

J. Nandimath, E. Banerjee, A. Patil, et al. Big data analysis using apache hadoop [C]//IEEE 14th International Conference on Information Reuse and Integration (IRI), IEEE, 2013:700–703.

Apache Hadoop [EB/OL]. http://hadoop.apache.org/, 2017.

M. Zaharia, R. S. Xin, P. Wendell, et al. Apache Spark: a unified engine for big data processing [J]. Communications of the ACM, 2016, 59(11): 56–65.

S. Farook, G. L. Narayana, B. T. Rao. Spark is superior to map reduce over big data [J]. International journal of computer applications, 2016, 133(1): 13–16.

J. Shi, Y. Qiu, U. F. Minhas, et al. Clash of the titans: Mapreduce vs. Spark for large scale data analytics [C]//Proceedings of the VLDB Endowment, 2015, 8(13): 2110–2121.

Spark streaming [EB/OL]. http://spark.apache.org/streaming/, 2017.

R. S. Xin, J. E. Gonzalez, M. J. Franklin, et al. Graphx: A resilient distributed graph system on Spark [C]//First International Workshop on Graph Data Management Experiences and Systems, ACM, 2013. 2.

S. Gopalani, R. Arora. Comparing Apache Spark and map reduce with performance analysis using kmeans [J]. International journal of computer applications, 2015, 113(1): 8–11.

Apache Storm [EB/OL]. http://storm.apache.org/, 2017}

R. Kumar, N. Gupta, S. Charu, et al. Manage big data through NewSQL [C]//National Conference on Innovation in Wireless Communication and Networking Technology, association with the Institution of Engineers (INDIA), 2014.

C. Curino, E. P. C. Jones, R. A. Popa, et al. Relational cloud: a database-as-a-service for the cloud [C]//Fifth Biennial Conference on Innovative Data Systems Re-search, 2011:235–240.

DB-Engines [EB/OL]. http://db-engines.com/en, 2017.

_Amazon-pricing [EB/OL]. https://aws.amazon.com/ ec2/pricing/, 2017.

Azure-pricing [EB/OL]. https://azure.microsoft.com/ en-au/pricing/, 2017.

Cloudant-pricing [EB/OL]. https://cloudant.com/ product/pricing/, 2017.

Google-pricing [EB/OL]. https://cloud.google.com/ bigtable/pricing, 2017.

E. Manogar, S. Abirami. A study on data deduplication techniques for optimized storage [C]//Sixth International Conference on Advanced Computing (ICoAC), IEEE, 2014:161–166.

V. Bhatia, A. Jangra. Setins: Storage efficiency techniques in no-sql database for cloud based design [C]//International Conference on Advances in Engineering and Technology Research (ICAETR), IEEE, 2014:1–5.

B. Y. Hou, K. Qian, L. Li, et al. Mongodb nosql injection analysis and detection [C]//IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud), IEEE, 2016:75–78.

K. Munir. Security model for cloud database as a service (DBaaS) [C]//International Conference on Cloud Technologies and Applications (CloudTech), IEEE, 2015:1–5.