M. Rajasekhara Babu

A framework for power estimation and reduction in multi-core architectures using basic block approach

In recent scenarios, power consumption is critical for battery operated devices. There are wide varieties of implementations of dynamic voltage scaling (DVS) algorithm to reduce energy or power. This paper presents a framework called PERMA, power estimator and reducer for multi-core architectures. The PERMA estimates power consumption and suggests analytical procedure to reduce power consumption at basic block level rather than at region level using clock cycles of instructions for a particular architecture (x86). PERMA estimates execution time for each basic block for various voltage levels and chooses best out of these. Therefore, PERMA evaluates the extent to which the voltage can be varied for various Basic Blocks to reduce power consumption without degrading execution time. Finally, it is tested for matrix multiplication of various sizes. There is an improvement in the execution time up to 33.43% with PERMA and 21.89% without PERMA.

Real-time smart traffic management system for smart cities by using Internet of Things and big data

Smart Traffic management system (STMS) is a one of the important feature for smart city. Currently traffic management and alert systems are not fulling needs of STMS. It is more expensive and highly configurable to provide better service for traffic management. This paper proposes a low cost Real-Time smart traffic Management System to provide better service by deploying traffic indicators to update the traffic details instantly. Low cost vehicle detecting sensors are embed in the middle of road for every 500 meters or 1000 meters. Internet of Things (IoT) are being used to acquire traffic data quickly and send it for processing. The Real time streaming data is sent for Big Data analytics. There are several analytical scriptures to analyze the traffic density and provide solution through predictive analytics. A mobile application is developed as user interface to explore the density of traffic at various places and provides an alternative way for managing the traffic.

Global Trends in Computing and Communication Systems

In order to extend the application opportunities of queues with working vacation to to the performance evaluation of practical systems with bursty traffic, we introduce the CPP/M/1 queue with working vacations. In this queue customers arrive in a batch having a geometric size distribution. We present a method and give closed form expressions for the steady state probabilities. We also show that a stochastic decomposition property exists for the CPP/M/1 queue with working vacations.

A fuzzy-based intelligent vertical handoff decision strategy with maximised user satisfaction for next generation communication networks

A vast diversity of services over the available radio access networks is assured by the next generation wireless systems for consumers with multi-homed cellular devices. Many consumer centric economic surplus-based vertical handoff schemes were already proposed intending to profit the end user. Few of these schemes estimate consumer surplus value with respect to the data transfer completion time assessed against the time constraints agreed by the user. In this paper, we suggested a vertical handoff decision strategy which promises maximised user satisfaction for consumer surplus value-based pricing schemes for non real time mobile-based multi-media services. A fuzzy rule-based system supported by multi criteria decision model is proposed to find optimum network between consumer surplus value and file download culmination time with the objective of maximising user satisfaction. Simulation is carried out using OM Net++ and MATLAB and the results are acknowledged with discussion and analysis.

Exploring Vectorization and Prefetching Techniques on Scientific Kernels and Inferring the Cache Performance Metrics

Performance improvement in modern processor is staggering due to power wall and memory wall problem. In general, the power wall problem is addressed by various vectorization design techniques. The Memory wall problem is diminished through prefetching technique. In this paper vectorization is achieved through Single Instruction Multiple Data SIMD registers of the current processor. It provides architecture optimization by reducing the number of instructions in the pipeline and by minimizing the utilization of multi-level memory hierarchy. These registers provide an economical computing platform compared to Graphics Processing Unit GPU for compute intensive applications. This paper explores software prefetching via Streaming SIMD extension SSE instructions to mitigate the memory wall problem. This work quantifies the effect of vectorization and prefetching in Matrix Vector Multiplication MVM kernel with dense and sparse structure. Both Prefetching and Vectorization method reduces the data and instruction cache pressure and thereby improving the cache performance. To show the cache performance improvements in the kernel, the Intel VTune amplifier is used. Finally, experimental results demonstrate a promising performance of matrix kernel by Intel Haswells processor. However, effective utilization of SIMD registers is a programming challenge to the developers.

Energy Efficient Cluster Head Selection for Internet of Things

ABSTRACT Recently, Internet of Things (IoT) devices are highly utilized in diverse fields such as environmental monitoring, industries, and smart home, among others. Under such instances, a cluster head is selected among the diverse IoT devices of wireless sensor network (WSN) based IoT network to maintain a reliable network with efficient data transmission. This article proposed a novel method with the combination of Gravitational Search Algorithm (GSA) and Artificial Bee Colony (ABC) algorithm to accomplish the efficient cluster head selection. This method considers the distance, energy, delay, load, and temperature of the IoT devices during the operation of the cluster head selection process. Furthermore, the performance of the proposed method is analyzed by comparing with conventional methods such as Artificial Bee Colony (ABC), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and GSO algorithms. The analysis related to the existence of the number of alive nodes, convergence estimation, and performance in terms of normalized energy, load, and temperature of the IoT devices are determined. Thus the analysis of our implementation reveals the superior performance of the proposed method.ABSTRACTRecently, Internet of Things (IoT) devices are highly utilized in diverse fields such as environmental monitoring, industries, and smart home, among others. Under such instances, a cluster head is selected among the diverse IoT devices of wireless sensor network (WSN) based IoT network to maintain a reliable network with efficient data transmission. This article proposed a novel method with the combination of Gravitational Search Algorithm (GSA) and Artificial Bee Colony (ABC) algorithm to accomplish the efficient cluster head selection. This method considers the distance, energy, delay, load, and temperature of the IoT devices during the operation of the cluster head selection process. Furthermore, the performance of the proposed method is analyzed by comparing with conventional methods such as Artificial Bee Colony (ABC), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and GSO algorithms. The analysis related to the existence of the number of alive nodes, convergence estimation, and p...

Hand Gesture Recognition Using Skeleton of Hand and Distance Based Metric

In this paper we are mainly concerns on the image processing and computer vision concepts for interpretation of gestures .By using gestures we can convey instructions to the machine (computer) or commands to a robots .This is known as Human machine interaction (Human computer interaction (HCI).Hand gestures are an ideal way of exchanging information between human and computer, robots, or any other device. In this paper we are calculating skeleton of the hand by using distance transformation technique and are using for recognition instead of the entire hand, because of its robust nature against translation, rotation and scaling. Skeleton is computed for each and every hand posture in the entire hand motion and superimposed on a single image called as Dynamic Signature of the particular gesture type. Gesture is recognized by using the Image Euclidean distance measure by comparing the current Dynamic Signature of the particular gesture with the gesture Alphabet set.

Emerging Biomedical Health Care System by Using Internet of Things

Internet of Things and Big Data are critical passion to applying medical field. But both field interaction necessary for Bio Medical fields to improve the Doctor efficiency and it helps to serve patients in better way. In this paper mention that what are the important of the Bio Medical field linking with most recent Technology. Scientific relations to delaying with unstructured data analysis. Digital Device integration requirements for patients. Digital way user friendly communication with Doctor to patient. It helpful for finding disease and counseling patient complications reduce. Finally we achieved a better virtual environment creating with Doctor to patients for improving service.

Optimization Techniques and Performance Evaluation of a Multithreaded Multi-core Architecture Using OpenMP

Optimization techniques are the crucial steps in parallelizing the programs for multi-core architectures. These Multi-Core architectures have become more popular due to improvement in performance, power concerns, thermal dissipations and more efficient simultaneous processing of multi tasks. There are wide variety of optimization techniques, but there is no history notify about the order in which these techniques to be applied for a program to obtain maximum performance. This paper mainly focuses on analysis of various program optimization techniques for multi-Core architectures. Finally this paper shows how the sequential code can be parallelized using OpenMP programming environment and will be explaining the interest findings with V-Tune analyzer.

An XAML Approach for Building Management System Using WCF

Building Automation is one of the critical issues in recent scenarios. The process of Building Automation is called as Building automation System (BAS).The BAS includes different kind of information that enables to work towards intelligent building system. There was a Web Services technology for integrating different BAS but it supports only HTTP protocol which is stateless. This paper presents the next generation internet technology Windows Communication Foundation (WCF) to integrate different building automation systems in the development of BAS. WCF includes various contracts which writes and reads Building Automation Control Network (BACnet) data points from BACnet network. These contracts will be called by other enterprise applications for realize BAS integration and get real-time data on BACnet network as a facilities Management.BMS will be applied in a BAS which consists of BACnet network. The applications use sensors, actuators and controllers for controlling Building Management System (BMS). This paper presents a Service Oriented Architecture (SOA) for BMS using WCF and Extensible Application Markup Language (XAML) which will provides client side GUI for BMS reused for different kind of applications. Finally, it discusses about challenges in providing security to BMS.