Page 24 - Big Data Analytics for Intelligent Healthcare Management

14 CHAPTER 1 BIO-INSPIRED ALGORITHMS FOR BIG DATA ANALYTICS

1.5 EMERGING RESEARCH AREAS IN BIO-INSPIRED ALGORITHM-BASED BIG
DATA ANALYTICS
In addition to future research directions, there are various hotspot research areas in bio-inspired algorithm-
based big data analytics that need to be addressed in the future such as containers, serverless computing,
blockchain, software-defined clouds, bitcoin, deep learning, and quantum computing. In this section, we
discuss hotspot research areas in the context of bio-inspired algorithm- based big data analytics.

1.5.1 CONTAINER AS A SERVICE (CaaS)
Docker is a container-based virtualization technology that can be used for bio-inspired algorithm-based
big data analytics in multiple clouds using a lightweight web server that is, HUE (Hadoop user expe-
rience) web interface. The HUE-based Docker container provides a robust and lightweight container as
a service (CaaS) data processing facility using a virtual multicloud environment.

1.5.2 SERVERLESS COMPUTING AS A SERVICE (SCaaS)
Serverless computing can be used for bio-inspired algorithm-based big data analytics without manag-
ing the cloud infrastructure and it is effective in processing user data without configuration of the net-
work and resource provisioning. Serverless computing as a service (SCaaS) has two different services:
backend-as-a-service (BaaS) and function-as-a-service (FaaS), which can improve the efficiency,
robustness, and scalability of big data processing systems and analyze the data quickly.

1.5.3 BLOCKCHAIN AS A SERVICE (BaaS)
Blockchain is a distributed database system, which can manage a huge amount of data at a low cost and
it provides instant risk-free transaction. Blockchain as a service (BaaS) decreases the time of processing
a transaction dramatically and increases security, quality, and integrity of data in bio-inspired
algorithm-based big data analytics.

1.5.4 SOFTWARE-DEFINED CLOUD AS A SERVICE (SCaaS)
A huge amount of data originates from different IoT devices and it is necessary to transfer data from
source to destination without any data loss. Software-defined cloud as a service (SCaaS) is a new par-
adigm, which provides the effective network architecture to move data from IoT devices to a cloud
datacenter in a reliable and efficient manner by making intelligent infrastructure decisions. Further,
SCaaS offers other advantages for bio-inspired algorithm-based big data analytics such as failure
recovery, optimization of network resources, and fast computing power.

1.5.5 DEEP LEARNING AS A SERVICE (DLaaS)
Deep learning is a new paradigm for bio-inspired algorithm-based big data analytics to process the user
data with high accuracy and efficiency in a real time manner using hybrid learning and training mech-
anisms. Deep learning as a service (DLaaS) uses a hierarchical learning process to get high-level, com-
plex abstractions as representations of data for analysis and learning of huge chunks of
unsupervised data.