this paper, elastic, multiple sources monitoring framework architecture which can be rapidly provisioned with respect to the monitoring requirements is being proposed. The need of system performance monitoring is of prime concern along with a tool to monitor user related performance i.e. in case of a product firm; they might need to monitor the sales regularly to predict some future trends. The system metrics combined with logs need to be plotted side by side to extract the similarity between them to predict efficiency of system resource usage. Moreover, each user might be using a different database as data source .Bearing this multi-faceted heterogeneity in mind, framework architecture for multiple- source, multipurpose monitoring is being proposed which can give the user a fully satisfying monitoring experience. A new concept of "MVC as an algorithm" can be an accurate measure for an efficient cloud based monitoring service (SAAS) and can also be incorporated with the framework architecture.
mobile phones become cheaper and technically advanced more and more people are adopting m-commerce. However shopping from wide range of options available online and offline is often a challenging job. This paper proposes iShopper an intelligent shopping agent which aids user in shopping hard good product proactively. The aim of the system is to avail the user best product and payment option automatically. Context aware Muti-Agent architecture is adopted for negotiations between the buyer and the seller. Decision making is done by inferring knowledge from the semantic relationship defined in ontology and on the basis of predefined JESS rules. General Terms Multi-agent, Context Aware, Ontology KeywordsiShopper
A Mobile Ad-Hoc Network (MANET) is a collection of wireless mobile nodes forming a temporary network without using any centralized access point, infrastructure, or centralized administration. The proposed Adaptive Energy-efficient On-demand Distance Vector routing (AEODV) Protocol for MANETs that is based on the Ad-hoc On-demand Distance Vector (AODV). The AEODV makes significant reduction in the energy consumption of the mobile nodes batteries for large no of connections. The balanced energy consumption is done by SARSA Reinforcement learning. At route discovery due to link breakage route is maintained using available backup routes instead of flooding control packets to the whole network area. It saves significant amount of energy which is consumed by rebroadcasting. To show the efficiency of the proposed protocol, it simulated using QualNet. Simulation results show that the AEODV protocol makes an improvement in delay, throughput, total packets received and residual energy compared to AODV and SARSA. General Terms Wireless Mobile Ad-hoc Network, Computational Intelligence, Energy-efficient.
Cyber Physical System (CPS) integrates physical and cyber components for high performance, self-maintenance, selforganization, self-assembly, while the process must be dependable, safe, secure, and efficient in real-time. It supports heterogeneous devices, such as motes, PDAs, laptops, and actuators according to the applications’ requirements. This paper describes an improved grouping abstraction for Cyberphysical systems.This abstraction allows different applications to simultaneously use the same sensors and actuators. It facilitates feedback control mechanisms by dynamic membership update and requirements reconfiguration based on feedback from the current members. It is implemented in Java, which ensures easy and conciseness of programming. It facilitates in-network aggregation and local processing which improves the lifetime of the network. This is shown in result to reduce energy consumption for enhancing the lifetime of the network. It would be validated on the application of smart campus ,which takes care of three functions like classroom occupancy, attendance monitoring aand area access controlling and monitoring.
Large-Scale distributed hosting infrastructures have become the basic platforms for several real-world production systems. But a challenging task is to achieve both scalability and high precision while monitoring a large number of intra-node attributes that contain information relating to each node and inter-node attribute that denote measurements between different nodes. This paper presents a new distributed monitoring framework Based on video coding techniques of named RBOIC (Replica Based Online Information Compression for Scalable Hosting Infrastructure Monitoring) which uses novel image based approach in which system models snapshots of the monitored distributed system images and applies lightweight online reference block search algorithm to compress monitoring traffic from worker to management node to achieve scalable full coverage monitoring. RBOIC explores the design, implementation of adaptive rood pattern search algorithm to find out optimal or near optimal reference values for each attribute. RBOIC effectively achieve failure-resilient monitoring by restoring monitoring data on replica node. The experimental evaluation of compressive monitoring system has been done using real time monitoring data .The experimental results show that RBOIC can achieve much higher compression ratios with less overhead and adaptive rood pattern search (APRS) achieves better performance by preventing unnecessary intermediate search than diamond search pattern.
Various watermarking algorithm has been developed in recent years. The two-dimension DCT and its counterpart Inverse 2-D DCT, are the most complex parts in the DCT-based watermarking systems. In this paper, the watermark to be inserted in the cover image is encrypted through a proposed encryption strategy to enhance the overall security instead of embedding the exact watermark bits. Every unique sequence of four bits is mapped to a unique sequence of length eight. These sequences are generated by a seeded pseudo-random generator. Due to this, size of the bits becomes double but the advantage is that the watermark cannot be detectable through normalized correlation. The encrypted watermark is inserted into the image using proposed randomized discrete cosine transform (DCT) based mid-band coefficients exchange scheme. To extract the original watermark, it is required to decrypt the extracted bits. Mapping with the same pseudo-random sequences is done. The strategy is robust against the blind watermark detection. Different Gray scale images of size (512* 512) have been used in this approach. The proposed method shows better results in terms of PSNR.