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Islam, Shayla
- Lightweight Handover Control Function (L-HCF) for Mobile Internet Protocol version Six (IPv6)
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Authors
Rania A. Mokhtar
1,
A. F. Ismail
2,
Mohammad Kamrul Hasan
2,
Wahidah Hashim
3,
Hajir Abbas
4,
Rashid A. Saeed
4,
Shayla Islam
5
Affiliations
1 Electronics Engineering Department, Sudan University of Science and Technology, Khartun, SD
2 Electrical and Computer Engineering, International Islamic University Malaysia, Selangor-53100, MY
3 College of Information Technology, Universiti Tenaga Nasional, MY
4 Electronics Engineering Department, Sudan University of Science and Technology, Khartun, SD
5 Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University, Jalan Gombak 53100
1 Electronics Engineering Department, Sudan University of Science and Technology, Khartun, SD
2 Electrical and Computer Engineering, International Islamic University Malaysia, Selangor-53100, MY
3 College of Information Technology, Universiti Tenaga Nasional, MY
4 Electronics Engineering Department, Sudan University of Science and Technology, Khartun, SD
5 Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University, Jalan Gombak 53100
Source
Indian Journal of Science and Technology, Vol 8, No 12 (2015), Pagination:Abstract
While shifting from one specific single access point to another point, the Mobile IP address permits a single mobile node for keeping an uninterrupted connection with the internet. Nevertheless, when handover occurs, the packets designed for the mobile nodes may have some delay or the risk of getting lost, because of the operations such as Mobile IP handover and link switching delay. This paper presented a novel control function that is called Lightweight Handover Control Function (L-HCF). The purpose of this control function is to improve of the handover performance in the perspective of Mobile IPv6 over wireless networks. The L-HCF functionality allows a router to choose which Access Router(AR)/Access Point (AP)/ address that the mobile node is associated with when movement is needed, by using available IP addresses in its database if the movement operation in side domain or by exchange messages between other routers if the movement alter domain. Thus the Mobile Nodes (MN) can use this address without engaging in the process of Stateless Address Auto-configuration or the procedure of Duplicate Address Detection. The function is implemented analytically then simulated in OPNET. The result shows that, the control function offer minimum latency, less packet loss compared with the standard function of the mobile IPv6.Keywords
Lightweight Handover Control Function (L-HCF), IP6, IEEE 802.11/Wi-Fi, Handover Latency- Two Objectives Big Data task Scheduling using Swarm Intelligence in Cloud Computing
Abstract Views :146 |
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Authors
Laouratou Diallo
1,
Aisha-Hassan A. Hashim
1,
Rashidah Funke Olanrewaju
1,
Shayla Islam
1,
Abdullah Ahmad Zarir
1
Affiliations
1 Faculty of Engineering, International Islamic University Malaysia, Jalan Gombak - 53100, Kuala Lumpur, MY
1 Faculty of Engineering, International Islamic University Malaysia, Jalan Gombak - 53100, Kuala Lumpur, MY
Source
Indian Journal of Science and Technology, Vol 9, No 28 (2016), Pagination:Abstract
Cloud computing is the latest and the most used type of distributed computing systems and also it covers most of their features. It has been widely used for its enormous benefits and its ability to cope with large scale data such as workflows and big data applications. On the other hand, scheduling algorithms; starting from traditional to Hyper-heuristic; are widely used in computing systems such as cloud computing to monitor the use of resources. However, these scheduling algorithms vary in term of their performance and most of these traditional and simple scheduling algorithms may not be efficient for large scale data. Although many scheduling algorithms have been implemented for cloud computing, it has been realized that most of the applications nowadays require different objectives that simple scheduling algorithms fail to achieve. Either one of the objective is violated or the results are far from the optimal solution. In this direction, this paper first gives review of some previous scheduling algorithms used in cloud. Then, it proposes a type of swarm intelligence called Particle Swarm Optimization (PSO) algorithm to diminish cost though meeting deadlines. The proposed method is evaluated using CloudSim and big data applications are used as sample of applications. From the results, it can be seen that PSO works better for big data applications and the cost is reduced to more than half when compared with ordinary scheduling algorithms such as First-Come-First-Serve (FCFS).Keywords
Cloud Computing, Hadoop and Big Data, Scheduling, Swarm Optimization.- Advance Signaling Cost for Multicast Fast Reroute Proxy Mobility Management
Abstract Views :125 |
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Authors
Azana Hafizah Mohd Aman
1,
Aisha-Hassan A. Hashim
1,
Azween Abdullah
2,
Huda Adibah Mohd Ramli
1,
Shayla Islam
1
Affiliations
1 Kulliyyah of Engineering, International Islamic University Malaysia, Jln Gombak 53100, Kuala Lumpur, MY
2 SOCIT, Taylor’s University, Jalan Taylors, Subang Jaya 47500, Selangor, MY
1 Kulliyyah of Engineering, International Islamic University Malaysia, Jln Gombak 53100, Kuala Lumpur, MY
2 SOCIT, Taylor’s University, Jalan Taylors, Subang Jaya 47500, Selangor, MY