This paper provides an improved parallel data processing in Big Data mining using ClowdFlows platform. The big data processing involves an improvement in Proportional Integral Derivative (PID) controller using Reinforcement Adaptive Learning (RAL). The Reinforcement Adaptive Learning involves the use of Actor-critic State–action–reward–state–action (SARSA) learning that suits well the stream mining module of ClowdFlows platform. The study concentrates on batch mode processing in Big Data mining model with the use of proposed PID-SARSA-RAL. The experimental evaluation with the conventional ClowdFlows platform proved the effectiveness of the proposed method over continuous parallel workflow execution.

Wireless Multimedia Sensor Network(WMSN) is a blooming field due to the development of CMOS cameras and Microphones which are wirelessly interconnected devices that are able to retrieve multimedia content such as video and audio streams, still images and scalar sensor data from the environment. As of today, almost all deployed wireless sensor data networks measure scalar physical parameters like temperature, pressure humidity etc. To capture the image, video Wireless Multimedia Sensor nodes (WMSn) are to be deployed. The node of WMSn is equipped with cameras, microphones, and sensors producing multimedia content. Routing in Wireless Sensor Network is an important issue since WMS nodes that senses the data need to be communicated to the base station. The key issues in design of routing protocol in the WMSN are energy efficiency, adaptive routing, multimedia packet scheduling, Quality of service (QOS) and high bandwidth demand. Many routing protocols have been proposed for the WMSN. The design of more efficient protocols in terms of energy awareness, video packet scheduling and QOS in terms of check point arrangement is still remains a challenge. This paper discuss the design of the routing protocol in wireless multimedia sensor network which is power aware, reliable and has low latency in delivering the sensing data from source or sink node to the destination node. The new proposed architecture called ASARC: ACTUATION SENSOR ADAPTIVE ROUTING WITH CHECK POINT. ASARC provides actuation of sensor on demand basis and selection of path for communication between any two nodes such as sensor or relay node without video distortion. This feature enhances the lifetime of the network and also it supports security and QOS.