International Journal of Networked and Distributed Computing

Today’s IT infrastructure is under tremendous pressure and is finding it difficult to keep up. In distributed computing environments, up to 85 percent of computing capacity sits idle. 66 percent of every dollar on IT is spent on maintaining current IT infrastructures versus adding new capabilities. In...

The goal of this paper is to present OSERENA, a distributed coloring algorithm optimized for dense wireless sensor networks (WSNs). Network density has an extremely reduced impact on the size of the messages exchanged to color the WSN. Furthermore, the number of colors used to color the network is not...

In order to develop highly reliable software in a cost-effective manner, it is necessary to manage software reliability at the early test phases. Most of developers at those phases perform a test and debug activities together. In this paper, we propose a new reliability estimation model to manage the...

Streaming applications over Mobile Ad-hoc Networks (MANET) require a smooth transmission rate. The Internet is unable to provide this service during traffic congestion in the network. Designing congestion control for these applications is challenging, because the standard TCP congestion control mechanism...

Event monitoring and determination is a popular application in WSN. Considering the special circumstance that some nodes of the wireless sensor network are faulty, a fault tolerant schema for data aggregation based on event clustering was proposed. Also, an improved HRTS algorithm named T-HRTS which...

Multi-core processors are becoming widely deployed. However, more cores consume more power. A power saving technique for multi-core systems based on the observation of critical sections is proposed. Since only one thread works in a critical section, other threads on other cores that access the same resource...

In wireless Ad Hoc network's many applications, learning accurately the position of the node is one of its important conditions. Node walks randomly in wireless Ad Hoc network, thus it causes the position of the nodes are stochastic; Therefore, the node localization technology is one of the difficult...

Different from existing techniques3-5 that often focus on high level data integration, this paper contributes a novel solution at device level, implementing a fully scalable and configurable middleware, aiming at releasing the power of parallel processing with distributed data. It is designed as a soft-gateway...

Radio Frequency Identification (RFID) is an emerging wireless object identification technology with many potential applications such as supply chain management, personnel tracking and healthcare. However, security vulnerabilities of the RFID system have been a serious concern for its wide adoption in...

Searching frequent patterns in transactional databases is considered as one of the most important data mining problems and Apriori is one of the typical algorithms for this task. Developing fast and efficient algorithms that can handle large volumes of data becomes a challenging task due to the large...

Despite the widespread uses in military, smart building, habitat monitoring, Wireless sensor networks (WSNs) just begun showing their superiority in the medical and healthcare domain. Facing same challenges as other applications, deployment of WPANs in medical domain exert many more stringent requirements,...

Honeypots are dedicated machines whose aim is to delay and divert attackers away from critical resources in order to study new methods and tools used by attackers. However, when looking most of current honeypot systems are statically configured and managed. They are either low interaction honeypot or...

A P-adic Exact Scientific Computational Library (ESCL) for rational matrix operations has been developed over the past few years. The effort has been focusing on converting all rational number operations to integer calculation, and fully taking advantage of the fast integer multiplication of modern computer...

In this paper, we investigate the distributed parallel Support Vector Machine training strategy, and then propose a BSP-Based Support Vector Regression Machine Parallel Framework which can implement the most of distributed Support Vector Regression Machine algorithms. The major difference in these algorithms...

Network-based crime has been increasing in both extent and severity and network-based forensics encapsulates an essential part of legal surveillance. A key network forensics tool is traceback that can be used to identify true sources of suspects. Both accuracy and secrecy are essential attributes of...

Recently, many people have used Smartphones. The feature of Smartphones is that they are equipped with a mobile operating system (OS) for the control of sensors and modules. In this situation, we can connect external human interaction devices with the Smartphone. Our objective is to know how the external...

Data mining in a social network can yield interesting perspectives to understanding human behavior or detecting topics or communities. However, it is difficult to gather the data related to a specific topic due to the main characteristics of social media data: large, noisy, and dynamic. To collect the...

Much research has been conducted on anomaly detection by wireless sensor networks (WSNs). The existing WSNs require specialized knowledge and skills to install the sensors in environments such as houses and buildings. Therefore, we have developed a flexible WSN based on small sensor devices that can...

We propose a novel approach by utilizing human-computer interaction data to extract user interests from web-based learning systems. The proposed approach is based on user access and a wearable context recognition system. Under our approach, a series of screen images are captured by an imaging device...

Checkpoint/restart has been an effective mechanism to achieve fault tolerance for many long-running scientific applications. The common approach is to save computation states in memory and secondary storage for execution resumption. However, as the GPU plays a much bigger role in high performance computing,...

Many/multi-core supercomputers provide a natural programming paradigm for hybrid MPI/OpenMP scientific applications. In this paper, we investigate the performance characteristics of five hybrid MPI/OpenMP scientific applications (two NAS Parallel benchmarks Multi-Zone SP-MZ and BT-MZ, an earthquake simulation...

Since distributed stream analytics is treated as a kind of cloud service, there exists a pressing need for its reliability and fault-tolerance, to guarantee the streaming data tuples to be processed in the order of their generation in every dataflow path, with each tuple processed once and only once....

In recent years, because of the popularity of Internet and the rapid growth of multimedia applications, the requirements of bandwidth from users increase violently in optical networks. Various multicast multimedia services also bring challenges to next generation optical networks. As the rapid advance...

Recently, peer-to-peer (P2P) traffic is increasing rapidly in volume day by day. One of the main causes is that most of P2P applications including file sharing and streaming applications often form overlay networks for exchanging data that are oblivious to the underlay network topology. As a result,...

In the current Internet system, there are many problems using anonymity of the network communication such as personal information leak and crimes using the Internet system. This is why TCP/IP protocol used in Internet system does not have the user identification information on the communication data,...

Dimension reduction of data is an important theme in the data processing to represent and manipulate higher dimensional data. Rough set is fundamental and useful to process higher dimensional data. Reduct in the rough set is a minimal subset of features, which has almost the same discernible power as...

Code generation belongs to the backend of parallelizing compiler, and is for generating efficient computation and communication code for the target parallel computing system. Traditional research resolve array redistribution mainly by generating communication code that each processor sends all data defined...

In todays advanced technology environment, we come across a number of research areas that require extensive data processing. These areas include but not limited to, modeling and simulation of accuracy, safety and reliability of nuclear weapons, global warming, weather forecasting, DNA computing, nanotechnology,...

Web services have become the main paradigm for the development of distributed software systems using a common set of technologies, including SOAP, WSDL and UDDI. This allows accessing to software components residing on different platforms and written in different programming languages. However, several...

Intrusion Detection System(IDS) has received attention to deal with the illegal access to the network. However, IDS has a critical problem which outputs a tremendous number of logs. Analyzing these logs apply a large amount of load to a network manager. In this paper, we propose a novel visualization...

The service value broker(SVB) pattern integrates business modeling, knowledge management and economic anal- ysis with relieved complexity, enhanced reusability and effi- ciency,etc. The study of SVB is an emerging interdisciplinary subject which will help to promote the reuse of knowledge, strategy and...

A mobile ad hoc network (MANET) is a wireless communication network, which does not rely on any centralized management or a pre-existing infrastructure. Various certificate authorities (CAs) distributed over the network, each with a periodically updated share of the secrete key, is usually adopted. Elliptic...

Cyber attack detection is based on assumption that intrusive activities are noticeably different from normal system activities and thus detectable. A cyber attack would cause loss of integrity, confidentiality, denial of resources. The fact is that no single classifier is able to give maximum accuracy...

We propose a Drawing-Frequency based Layered (DFL) Canvas approach to reduce a synchronization delay in collaborative web applications. The synchronization delay consists of a network delay and a drawing delay. The network delay is well-argued topic by various researches. We focus on the drawing delay,...

MANET is a dynamic wireless network without any infrastructures. The network is weak and vulnerable to many types of attacks including BlackHole attack. BlackHole node advertises itself as having freshest or shortest path to a specific node to absorb packets. The effect of BlackHole attack on AODV will...

In this paper, the parameter optimization problem for face-milling operations is studied. A multi-objective mathematical model is developed with the purpose to minimize the unit production cost and total machining time while maximize the profit rate. The unwanted material is removed by one finishing...

Many Advisor Systems have been designed and developed to assist us in decision-making, each with their strengths and weaknesses. A popular type of Advisor systems is Travel Advisor systems that assist travelers in their travel arrangements. We have designed and implemented a Travel Advisor system to...

The advances of Graphic Processing Units (GPU) technology and the introduction of CUDA programming model facilitates developing new solutions for sparse and dense linear algebra solvers. Matrix Transpose is an important linear algebra procedure that has deep impact in various computational science and...

Image processing applications have played a vital role in modern life and they are required to be well tested due to their significance and human dependence on them. Testing of image processing application is difficult due to complex nature of images in terms of their generation and evaluation. The presented...

Wireless Sensors Networks (WSNs) are utilized in many diverse applications ranging from security, environmental monitoring, landslide detection, patient monitoring, reconnaissance operations, structural health monitoring and smart buildings. Since in many applications the WSN nodes are randomly deployed,...

Due to its constrained nature, the use of smart RFID technology introduces tremendous security and privacy issues. This paper presents IMAKA-Tate: Identity protection, Mutual Authentication and Key Agreement using Tate pairing of Identity-based Encryption method. It is designed to tackle various challenges...

In this paper, a novel self-organizing map (SOM) named “One-D-R-A-G-SOM” is proposed. It is a kind of one dimensional ring type growing SOM using asymmetric neighborhood function. As the topology of one dimensional ring type feature map is more suitable to increase or decrease the number of units, and...

Component-based Software Engineering (CBSE) is currently a key paradigm used for developing safetycritical systems. It provides a fundamental means to master systems complexity, by allowing to design systems parts (i.e., components) for reuse and by allowing to develop those parts independently. One...

As the cost for wireless sensors and wireless sensor networks (WSNs) have decreased, they have become more ubiquitous; they are increasingly being used in many applications such as security, structural monitoring and environmental monitoring. Many WSN applications employ a random sensor deployment to...

In recent years, with the rapid development of the network hardware and software, the network speed is enhanced to multi-gigabit. Network packet filtering is an important strategy of network security to avoid malicious attacks, and it is a computation-consuming application. Therefore, we develop two...

As the size of high performance applications increases, four major challenges including heterogeneity, programmability, fault resilience, and energy efficiency have arisen in the underlying distributed systems. To tackle with all of them without sacrificing performance, traditional approaches in resource...

Human activity recognition is an emerging field of ubiquitous and pervasive computing. Although recent smartphones have powerful resources, the execution of machine learning algorithms on a large amount of data is still a burden on smartphones. Three major factors including; classification algorithm,...

Various cross-layer optimization schemes have been proposed for the purpose of enhancing wireless network performances. In this paper, we present an improved autonomous cross-layer optimization to fit modern heterogeneous communication networks. In our design, different Quality of Service (QoS) requirements...