Robin Singh Bhadoria

Cloud Computing Model for National E-governance Plan (NeGP)

Advances in e-Government oriented technologies and services are taking place with a considerable speed around the world. ICT requirement of Executives, Legislative and Judicial branches of Government are different at different levels with varying privacy and security requirement for Government transactions and applications used. Recent advancement in application of computing in Governance has shifted away from the traditional e-Government services to a new initiative called the Cloud Government incorporating cloud computing mainly aimed at communicating directly with citizens and implementing cost effective IT service delivery mechanism. In this paper we will make a study on role of cloud computing in the effective implementation of NeGP of Government of India.

Energy Efficient Routing in Wireless Sensor Networks through Grid Based Protocol

Sensors when interspersed in our structures and ambient environment coupled with efficient relay of the sensed data could provide numerous advantages to the society. Tedious tasks like monitoring a field or sensitive ones like keeping track of an endangered species can be automated through a system of coherent sensors. Wireless sensor networks (WSNs) are self-organized network consisting of such sensors coupled with a radio unit. The nodes, powered by batteries, have limited computation capabilities. Most applications of WSNs require deployment in unattended remote locations. Therefore, power awareness is fundamental to data dissemination and routing in a WSN.

Performance Analysis for Android Runtime Environment

A new runtime was introduced with Android 4.4 i.e. Kit Kat, which should eventually replace the Dalvik runtime. ART (Android Runtime) and Dalvik as the runtime executes the Dalvik Executable format and Dex byte code specification. In other words, when an app is run on android, it goes through a runtime. Previously, Androids runtime was Dalvik. While it performed well, it was still a bottleneck as it only ran the code at the moment it needed to, with a JIT compiler (Just-in-time). AOT (Ahead-of-time) compilation paradigm is followed by ART to process application instructions before they are even required. In the next section, the background of compilation on various architectures is described. In next section, ART is introduced with its new features. In next section, ART has been tested against traditional Dalvik runtime. Then before the conclusion, ARM big. LITTLE architecture is described with some results.

Analysis on probabilistic and binary datasets through frequent itemset mining

Association rule mining is the process of discovering relationships among the data items in large database. It is one of the most important problems in the field of data mining. Finding frequent itemsets is one of the most computationally expensive tasks in association rule mining. The classical frequent itemset mining approaches mine the frequent itemsets from the database where presence of an item in a transaction is certain. Frequent itemset mining under uncertain data model is a new area of research. In this case the presence of an item is given by some likelihood measure. In this paper, we have developed a hyper structure based pattern growth method for frequent itemset mining from uncertain data. We have also developed a maximal clique based candidate pruning method for uncertain data. We have implemented and analyzed the performance of the well known algorithms for frequent itemset mining for both binary and uncertain data model. Our empirical results show that in case of dense binary datasets, FP-growth outperforms all other algorithms, whereas in case of sparse data H-mine outperforms other algorithms.

The Performance Metric for Enterprise Service Bus (ESB) in SOA system

Now days, the businesses are going online and e-Commerce industry is on its boom. In this changing era of development, services are to be Robust, Agile, Accessible and Available to its clients. For secured and guaranteed delivery of services, every big organization is shifting their service delivery model to Enterprise Service Bus (ESB). It promises to set up a strong guideline to build System Oriented Architecture (SOA) system, which leverages multiple services from different application domains. This paper presents an analytical survey of ESB on different parameters influencing the performance of SOA in the present changing scenario and service patterns. A detailed and empirical survey for Enterprise Service Bus (ESB) in Service-Oriented Architecture (SOA) paradigm.Presents core functionality of ESB like message routing, message handling and service stack.Concept of ESB in information/message handling from multiple services.Software Industry assessment in adoption of ESB to facilitate their service accessibility architecture.

Detecting and Searching System for Event on Internet Blog Data Using Cluster Mining Algorithm

The popularity of Internet is growing every day with an exponential growth in the information that is being published over it. Apart from static content, dynamic content on the Web is also growing at an increasing rate thanks to blogs, news forums and the likes. Users of such blogs and forums write about their personal life, professional life and events happening in real world such as a cricket match, elections, a product release or disasters. The number of blog entries published on an event is proportional to its popularity. Using this as the basis, we designed a system called EventDS (Event Detection and Searching) which detects major events by analyzing blogs using a novel clustering algorithm called PDDPHAC. We also propose a new representation for events: each event is represented as a Topic Tree where sub-topics are treated as children of their super-topics.

Analyzing the role of interfaces in enterprise service bus: A middleware epitome for service-oriented systems

Abstract The modern era of computing is designed around service-oriented systems which integrate multiple services to deliver sophisticated services through well-known interfaces. It could efficiently be done by using features of Service-Oriented Architecture (SOA) like reusability, scalability and interoperability. SOA is an adaptive and flexible enough to acquire changes for dynamic environments but it is noted that it is limited with remote and distributed access to services in complex systems where interfaces are not recognized as common medium. This could be strengthened with adopting framework which not only meet such requirements but also provide varieties of interface between multiple services from different domains of applications. Enterprise Service Bus (ESB) is a middleware distributed kind of framework that extends the features of SOA systems and supports the deployment of end-to-end services through well-defined ‘interface’ called connector. The main contribution for this paper is building a deriving mathematical formulation that provides relationship with successfully chance for getting interface during interaction between multiple services. This paper also analysis and investigate the comparison for non-ESB and ESB as interface usage in facilitating services over networks.

An Investigation on Energy Efficient Routing Protocol for Wireless Sensor Network

In the Wireless Sensor Network, the routing protocol is a major issue. In this paper we discuss the contents of three routing protocol of WSN i.e. Location-based routing protocol, Data-centric routing protocol and lastly Hierarchical routing protocol in short and later we will compare these protocols based on some parameters.

Competent Search in Blog Ranking Algorithm Using Cluster Mining

In this paper, we focus on blogger search in blogs - in particular, who are the top authors for blogs of a particular topic. All blogs and their interconnections are collectively called the blogosphere. We emphasis on a new graph structure known as blogger graph, is proposed in the blogosphere based on the bloggers information. We concentrated on blogger search in blogs - in particular, who are the top authors for blogs of a particular topic. All blogs and their interconnections are collectively called the blogosphere. Results show that we can identify the top bloggers with a high precision.

The Human Element of Big Data: Issues, Analytics, and Performance

The proposed book talks about the participation of human in Big Data. How human as a component of system can help in making the decision process easier and vibrant. It studies the basic build structure for big data and also includes advanced research topics. In the field of Biological sciences, it comprises genomic and proteomic data also. The book swaps traditional data management techniques with more robust and vibrant methodologies that focus on current requirement and demand through human computer interfacing in order to cope up with present business demand. Overall, the book is divided in to five parts where each part contains 4-5 chapters on versatile domain with human side of Big Data.