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ComEngApp : Computer Engineering and Applications Journal
Published by Universitas Sriwijaya
ISSN : 22524274     EISSN : 22525459     DOI : 10.18495
Core Subject : Science, Engineering,
Computer Science & IT Engineering
ComEngApp-Journal (Collaboration between University of Sriwijaya, Kirklareli University and IAES) is an international forum for scientists and engineers involved in all aspects of computer engineering and technology to publish high quality and refereed papers. This Journal is an open access journal that provides online publication (three times a year) of articles in all areas of the subject in computer engineering and application. ComEngApp-Journal wishes to provide good chances for academic and industry professionals to discuss recent progress in various areas of computer science and computer engineering.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 7 Documents
 1 
Search results for , issue "Vol 3 No 3 (2014)" : 7 Documents clear
Fuzzy Expert Ants to speed up big TSP Problems using ACS Fardin Abdali Mohammadi; Abdolhosein Fathi Abdolhosein Fathi
Computer Engineering and Applications Journal Vol 3 No 3 (2014)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (264.56 KB) | DOI: 10.18495/comengapp.v3i3.68

Abstract

Ant colony algorithms are a group of heuristic optimization algorithms that have been inspired by behavior of real ants foraging for food. In these algorithms some simple agents (i.e. ants), search the solution space for finding the suitable solution. Ant colony algorithms have many applications to computer science problems especially in optimization, such as machine drill optimization, and routing. This group of algorithms have some sensitive parameters controlling the behavior of agents, like relative pheromone importance on trail and pheromone decay coefficient. Convergence and efficiency of algorithms is highly related to these parameters. Optimal value of these parameters for a specific problem is determined through trial and error and does not obey any rule. Some approaches proposed to adapt parameter of these algorithms for better answer. The most important feature of the current adaptation algorithms are complication and time overhead. In this paper we have presented a simple and efficient approach based on fuzzy logic for optimizing ACS algorithm and by using different experiments efficiency of this proposed approach has been evaluated and we have shown that the presented concept is one of the most important reasons in success for parameter adapting algorithms.
A New Method for Intelligent Message Network Management in Ubiquitous Sensor Networks Maryam Karimi; Reza Javidan; Manijeh Keshtgari
Computer Engineering and Applications Journal Vol 3 No 3 (2014)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (703.832 KB) | DOI: 10.18495/comengapp.v3i3.69

Abstract

Ubiquitous Sensor Network (USN) computing is a useful technology forautonomic integrating in different environments which can be available anywhere.Managing USN plays an important role on the availability of nodes and paths. Inorder to manage nodes there is a cyclic route starts from manager, passing nodes,and come back to manager as feedback. In this paper, a new, self-optimizing methodpresented for finding this cyclic path by combining epsilon greedy and geneticalgorithm and then it is compared with other well-known methods in terms of cost ofthe route they find and the power consumption. The results show that the route thatis found by our new method costs at least 53% less than other methods. However insome cases, it uses 32% more energy for finding the route which can be compensatein traversing the shorter route. The overall simulation results in prototype data showthe effectiveness of the proposed method.
A New HadoopBased Network Management System withPolicy Approach Sahar Namvarasl; Vajihe Abdi; Reza Javidan
Computer Engineering and Applications Journal Vol 3 No 3 (2014)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (110.273 KB) | DOI: 10.18495/comengapp.v3i3.70

Abstract

In recent years with the improvement in the field of network technology and decreasing of technology cost, lots of data are produced. This massive amount of data needs mechanism for processing and mining information rapidly. In this paper a new Hadoop based network management system with policy approach which is considered hierarchical manager is presented. Storing and processing massive data efficiently are two capability of Hadoop technology by using HDFS and MapReduce. In this paper, processing time is considered as a main factor. As a result it is proved that this management system using policy approach increases the performance of entire system without putting on extra cost for implementation. This system in contrast with pure Hadoop and centralized system is several times more rapid.
An Improved Multi-Cycle Deadlock Detection and Resolution Algorithm for Distributed Systems Mohsen Askari; Rozita Jamili Oskouei
Computer Engineering and Applications Journal Vol 3 No 3 (2014)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (974.61 KB) | DOI: 10.18495/comengapp.v3i3.89

Abstract

Distributed systems exhibit a high degree of resource and data sharing creating a state in which deadlocks might make their appearance. Since deadlock detection and resolution  is one of the important concerns in distributed systems which lead to minimizing available resources, therefore instigating   the  system  throughput decrease.  Our  proposed algorithm detects and resolves  the  multi-cycle  deadlocks, whether the initiator is involved in the deadlock cycle directly or indirectly. Also the chance  of  phantom  deadlock  detection is minimized. This  algorithm  not  only  can manage the simultaneous execution of it but also detects the multi-cycle deadlocks in  the  distributed  systems. Our  algorithm introduces a modified probe and victim message  structure. Moreover,  no  extra  storage  required  to  store  prob message  in each node which is known as memory overhead in the distributed systems.
Survey on Multi Agent Energy Efficient Clustering Algorithms in Wireless Sensor Networks Nazli Bagherzadeh Karimi; Seyed Naser Razavi
Computer Engineering and Applications Journal Vol 3 No 3 (2014)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (569.621 KB) | DOI: 10.18495/comengapp.v3i3.92

Abstract

In the last few years, there are many applications for Wireless Sensor Networks (WSNs). One of the main drawbacks of these networks is the limited battery power of sensor nodes. There are many cases to reduce energy consumption in WSNs. One of them is clustering. Sensor nodes partitioned into the clusters so that one is chosen as Cluster Head (CH). Clustering and selection of the proper node as CH is very significant in reducing energy consumption and increasing network lifetime. In this paper, we have surveyed a multi agent clustering algorithms and compared on various parameters like cluster size, cluster count, clusters equality, parameters used in CHs selection, algorithm complexity, types of algorithm used in clustering, nodes location awareness, inter-cluster and intra-cluster topologies, nodes homogeneity and MAC layer communications.
Network Survivability Performance Evaluation in Underwater Surveillance System Using Markov Model Seyyed Yahya Nabavi; Reza Mohammadi; Manijeh Keshtgari
Computer Engineering and Applications Journal Vol 3 No 3 (2014)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (558.704 KB) | DOI: 10.18495/comengapp.v3i3.98

Abstract

Underwater Wireless Sensor Network (UWSN) is a useful technology that can be used in Underwater Surveillance System (USS). USSs are mostly used in military purposes for detecting underwater military activities. One of the most important issues in USS is mission reliability or survivability. Due to harsh underwater environment and mission critical nature of military applications, it is important to measure survivability of USS. Underwater sensor node failures can be detrimental for USS. To improve survivability in USS, we propose a fault-tolerant underwater sensor node model. To the best of our knowledge, this is the first fault-tolerant underwater sensor node model in USS that evaluates survivability of an USS. Â We develop Markov models for characterizing USS survivability and MTTF (Mean Time to Failure) to facilitate USS. Performance evaluation results show the effectiveness of proposed model.
Data Management Challenges in Cloud Environments Mohamad Masood Javidi; Najme Mansouri; Asghar Asadi Karam
Computer Engineering and Applications Journal Vol 3 No 3 (2014)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (570.774 KB) | DOI: 10.18495/comengapp.v3i3.105

Abstract

Recently the cloud computing paradigm has been receiving special excitement and attention in the new researches. Cloud computing has the potential to change a large part of the IT activity, making software even more interesting as a service and shaping the way IT hardware is proposed and purchased. Developers with novel ideas for new Internet services no longer require the large capital outlays in hardware to present their service or the human expense to do it. These cloud applications apply large data centers and powerful servers that host Web applications and Web services. This report presents an overview of what cloud computing means, its history along with the advantages and disadvantages. In this paper we describe the problems and opportunities of deploying data management issues on these emerging cloud computing platforms. We study that large scale data analysis jobs, decision support systems, and application specific data marts are more likely to take benefit of cloud computing platforms than operational, transactional database systems.

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