Volume 31, Issue 1

Apache Hadoop is an open source framework that deals with the distributed computing of large datasets across a clustered of computers using low-cost hardware and simple programming models. Hadoop uses HDFS (Hybrid Distributed File System) for data storage. This allows for distributed processing of large sets across clustered of computers using simple programming languages. Hive is a famous data warehouse package built on top of Hadoop. It provides an SQL tongue called Hive Query Language (HQL) for querying and processing of large sets of data. But the problem with HQL is that it takes more time when queries are applied to convert data in rows to columns i.e horizontal to vertical. This limitation of HQL is improved by using the User Defined Functions (UDF) in Hive. With the help of UDF, many calculations that are outside the scope of built-in HQL operations and functions in Hive like query many columns, combine several column values into one and transformations that are taking more time in HQL, can be solved easily. In the proposed research work five different data sets are taken from web for experimental results. Simple queries using UDF and HQL are applied on these data sets. The results obtained on these data sets show that UDF is better than HQL.

Heterogeneous networking of femtocells over the existing macro cell network is believed to augment the data rate requirement in forthcoming years. Closed access operation of Femtocell Access Points and shared spectrum assignment in the two-tier macro-femtocell network leads to unacceptable deterioration in achieved data rate of femtocell users. In this work, application of computationally efficient neural network to perform adaptive transmit power control of femtocell access point is proposed to improve the Quality of Service perceived by femtocell users. A Neuro-controller is designed to regulate the femtocell access point transmission power based on the Channel Quality Indicator measurement report sent by user equipment. Since the proposed power control strategy employs the channel side information already available in the existing network, there would not be any signaling overhead to mitigate the co-tier interference. Simulation results validate the effectiveness of the proposed power control strategy which provides significant improvement in achieved data rate of femtocell users and prevents them from outage.

Non-homogeneous binary quadratic equation representing hyperbola given by
5x² – 6y² = 5 is analyzed for its non-zero distinct integer solutions. A few interesting relations among its solutions are presented. Also, knowing an integral solution of the given hyperbola, integer solutions for other choices of hyperbola and parabola are presented. Also, employing the solutions of the given equation, is constructed.

The Internet is a collection of networks, each controlled by different administrations. Traffic engineering is an important mechanism for Internet network providers seeking to optimize network performance and traffic delivery. Routing optimization plays a key role in traffic engineering, finding efficient routes so as to achieve the desired network performance. In this proposed method presents an intelligent multi-topology BGP (MT-BGP) based inter[1]domain traffic engineering (TE) scheme that is able to handle unexpected traffic fluctuations with near-optimal network performance. The proposed method provides the AMPLE: An Adaptive MT-BGP traffic engineering based on virtual routing topologies is mainly focused to create own path in traffic congestion. TE system based on virtualized BGP routing that enables short timescale traffic control against unexpected traffic dynamics using multi[1]topology BGP-based networks. The framework contains three major components, namely Offline Link Weight Optimization (OLWO), Adaptive Traffic Control (ATC) and Admission Control (ADC) algorithm. Admission control algorithm achieved low delay and high throughput Instead of frequently changing BGP link weights then create the own path based on virtual routing topologies, we use multi-topology BGP routing protocols that allow adaptively splitting traffic across multiple routing topologies.

In today technology world, big data is generating from many sources like government, banks, social media, science, medical field and many others. This data is very much complex in terms of their properties and it requires some new tools and technologies to analyze. Sentiment analysis is the field of big data analysis which discovers the writer’s feeling and behaviour from his data. Behaviour of user can be analyzed as positive, negative or neutral. Lots of techniques can be used to do so. If beyond these polarities something can be done it will be very interesting. The main objective of this paper is to draw the next line in sentiment analysis under big data environment. That line is to fetch information like what groups of users want to say. That will be extracted on the basis of their strength. Here strength means the frequency of that information or rule. This research paper proposed a new approach which is an extension to lexicon method has been introduced to find the rule extraction which can help in the area of sentiment analytics under the big data environment via Hadoop like approaches.

Water is prime requirement for everyone. In Simhastha (Kumbha) mela area water demand is very essential. The Water distribution network plays important role in supplying water to all user in mela area as well as the existing population of the city. Demand for drinking water is increasing on basis with increase in population. This increasing demand can be fulfilled by availability of water sources and designing efficient water distribution networks. the efficient WDN can be achieved based on advance computing systems include modern hydraulic modeling and designing softwares. The review has been carried out for softwares and data used in hydraulic modeling (i.e. EPS, Pressure driven system, zoning etc) of designing water distribution networks.

Cloud computing platform can provide infinite storage capacity, computing ability as well as information services; it now has become the popular new application platform for both individuals and enterprises. The storage capacity of a data center is limited. Therefore, how to place data slices in appropriate data center proves to be an important factor influencing the platform ability. The data placement strategy we design in this paper takes the cooperation costs among data slices into account. It lowers the distributed transaction costs as much as possible, especially the cost differences among different distributed transactions. At the same time, this strategy also cares about the global load balance problem in data center. It is developed on the basis of genetic algorithm and ensures that the strategy can quickly converge to efficient data placement solutions. In this paper, survey on data placement strategy named hierarchical structure data placement strategy, it combines the semi-definite programming algorithm with the dynamic interval mapping algorithm and also about several other algorithms and data placement approaches.

Error function occurs frequently in probability, statistics, physics and many engineering problems like heat conduction problems, vibrating beams problems etc. In this article, we find the Elzaki transform of error function. In application section, some numerical applications of Elzaki transform of error function for evaluating the improper integral, which contain error function, are given.

Weather forecasting is the application of science and technology to predict the state of the atmosphere for a given location and they are made by collecting quantitative data of soil parameters. Soft computing is an innovative approach to construct computationally intelligent systems that are supposed to possess humanlike expertise within a specific domain, adapt themselves and learn to do better in changing environments, and explain how they make decisions. Soft computing techniques are Fuzzy logic, Neural Network, Ant Colony Optimization, Genetic Algorithm etc. In this paper description about the soil and new technologies.