Cluster Computing

Ant colony optimisation (ACO) is a nature-inspired, population-based metaheuristic that has been used to solve a wide variety of computationally hard problems. In order to take full advantage of the inherently stochastic and distributed nature of the ...

Computational grids have the potential for solving large-scale scientific problems using heterogeneous and geographically distributed resources. At this scale, computer resources and network failures are no more exceptions, but belong to the normal ...

Complex variable-structure systems (CVSSs) are a common type of complex systems that exhibit changes both at structural and behavior levels. Simulations of CVSSs challenge current collaborative execution methods with increasingly big and complex models. ...

Cloud storage is an important application service in cloud computing, it allows data users to store and access their files anytime, from anywhere and with any device. To ensure the security of the outsourced data, data user needs to periodically check ...

Nowadays, the evolution of information technologies requires fast similarity search tools for analyzing new data types as audio, video, or images. The usual search by keys or records is not possible and to search on these databases is a compute-...

Implementing an accurate face recognition system requires images in different variations, and if our database is large, we suffer from problems such as storing cost and low speed in recognition algorithms. On the other hand, in some applications there ...

HTTP/2 is the second major version of the HTTP protocol published by the internet engineering steering group. The protocol is designed to improve reliability and performance Such enhancements have thus delineated the protocol as being more vulnerable to ...

The open nature of communication medium in wireless networks becomes easy for the attackers to indulge in jamming attack. Jamming blocks the communication channel with the intent of preventing the flow of useful information. Jammers effectively and ...

For an e-Healthcare system, detecting the emotion of a patient is vital for initial assessment of the patient. This paper proposes an emotion recognition system from face using for an e-Healthcare system. For features, Weber local descriptors (WLD) are ...

Document similarity has important real life applications such as finding duplicate web sites and identifying plagiarism. While the basic techniques such as k-similarity algorithms have been long known, overwhelming amount of data, being collected such ...

Cloud storage is an important cloud computing service, it allows data users to store and access their files anytime, from anywhere and with any device. To ensure the security of the outsourced data, it also must allow data user to periodically verify ...

With the increasing interest in large-scale, high-resolution and real-time geographic information system (GIS) applications and spatial big data processing, traditional GIS is not efficient enough to handle the required loads due to limited ...

Concurrency bugs usually manifest under very rare conditions, and reproducing such bugs can be a challenging task. To reproduce concurrency bugs with a given input, one would have to explore the vast interleaving space, searching for erroneous ...

With the popularization and development of cloud computing, lots of scientific computing applications are conducted in cloud environments. However, current application scenario of scientific computing is also becoming increasingly dynamic and ...

Agent-based simulation models with large experiments for a precise and robust result over a vast parameter space are becoming a common practice, where enormous runs intrinsically require highly intensive computational resources. This paper proposes a ...

In this paper, the task scheduling in MapReduce is considered for geo-distributed data centers on heterogeneous networks. Adaptive heartbeats, job deadlines and data locality are concerned. Job deadlines are divided according to the maximum data volume ...

Community detection is a classic and very difficult task in complex network analysis. As the increasingly explosion of social media, scaling community detection methods to large networks has attracted considerable recent interests. In this paper, we ...

As healthcare organizations are struggling to enhance healthcare qualities and efficiencies, they focus on secure and efficient sharing of clinical information among healthcare providers including doctors, nurses, medical laboratories, and informal ...

Conflicts resolution is one of the key issues in maintaining consistency and in supporting smooth human---human interaction for real-time collaborative systems. This paper presents a novel approach of meta-operation conflict resolution for feature-based ...

In real-time collaborative graphical editing systems, bitmap-based graphical editing systems are particularly special and practically useful ones, and Do and Undo/Redo operations are intricate problems in this field. However, existing researches on ...

Mining frequently visited web pages from web logs have become an imminent need for web usage mining to understand the behavior of users. Frequent pageset mining and association rule mining (ARM) algorithms existing in the literatures suffer from storage ...

The role of load balancing in wireless sensor networks is to provide a constant and reliable service. Applications with periodic data generation for wireless sensor networks require the maximum lifetime of the network. Most research imposes mainly on ...

In this paper, we research the target system using an Image processing methods for measuring the moving object at a high speed. Measuring a fast-moving object is very difficult. Currently, Car, CCTV, plant factory has already utilized the advantage of ...

This paper addresses the problem caused by the large amount of traffic generated and dynamically changing traffic patterns and Round-Robin scheduling algorithm applied Weighted to provide the best service to the user requests. Currently the network has ...

In the maritime field, e-navigation, a new-paradigm information service framework that provides proper, accurate and timely information related to various marine activities at sea, has been widely discussed. For consistent exchange, sharing, and use of ...

Belief propagation (BP) decoding has been widely used for decoding Luby transform (LT) codes which perform very well for a large number of input symbols. However, in reality, small numbers of input symbols are often encountered. In this paper, an ...

In this paper, we propose a high-performance audio fingerprinting system used in real-world query-by-example applications for acoustic audio-based content identification, especially for use in heterogeneous portable consumer devices or on-line audio ...

The performance of network intrusion detection systems based on machine learning techniques in terms of accuracy and efficiency largely depends on the selected features. However, choosing the optimal subset of features from a number of commonly used ...

GPU is widely used in various applications that require huge computational power. In this paper, we contribute to the cryptography and high performance computing research community by presenting techniques to accelerate symmetric block ciphers (AES-128, ...

Personal and organizational data are getting larger in volume with respect to time. Due to the importance of data for organisations, effective and efficient management and categorization of data need a special focus. Understanding and applying data ...