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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control)
Ahmed Hashim Mohammed
Mustansiriyah University
Computer Science & IT

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Optimized load balance scheduling algorithm Rawaa Mohammed Abdul-Hussein; Ahmed Hashim Mohammed
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 20, No 1: February 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v20i1.22464

Abstract

The cloud computing environment faces several challenges as a federation of clouds, controlling the traffic flow, scalability, and balancing the load on virtual machines that are considered the most crucial issue due to their impact on the execution time, resource utilization, and cost. This paper is interested in some of the existing algorithms that distribute the workload evenly. These algorithms aim to avoid the blind assignment that often results in some over-loaded servers while another node might be under-loaded. In this work a combination of two inspired metaheuristic algorithms BAT and cuckoo search was proposed; the first algorithm can utilize fast exploration using global search, the latter algorithm can avoid trapping into BAT local optimum problem using levy flight with a far random walk. Additonaly, the proposed algorithm could be used to mitigate distributed denial of service (DDoS) attack that aims to cause endless load on the servers and stop the service. Experimental results for five virtual machine (VM), ten VM, with the varying number of tasks showed that the proposed algorithm has better resource utilization and less makespan time in almost all the cases.
A security services for internet of thing smart health care solutions based blockchain technology Ahmed Hashim Mohammed; Rawaa Mohammed Abdul Hussein
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 20, No 4: August 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v20i4.23765

Abstract

Pervasive and ubiquitous computing has enabled people better integrate physical things into the digital world. The internet of things (IoT) has been considerably more widely used in business and everyday life in the last decade. Innovative healthcare information and communication technologies are a vast field of research and applications that need IoT benefits, including speed, security, and low cost. The proposed modified advanced encryption standard (AES)-cipher block chaining (CBC)-based blockchain technology offers a shared key to devices that need to communicate directly with or with entities outside the smart healthcare network to give users greater control over transactions. The experiments are carried out using a Raspberry Pi 3, whereas two different sensors are ‎employed in this case. Blockchain technology encrypts data between doctor and patient with varied user numbers. The results from experiments revealed that the proposed modified AES-CBC based blockchain technology could provide the IoT application with security services (confidentiality, integrity, and access control) with efficient execution time.
Optimized load balance scheduling algorithm Rawaa Mohammed Abdul-Hussein; Ahmed Hashim Mohammed
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 20, No 1: February 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v20i1.22464

Abstract

The cloud computing environment faces several challenges as a federation of clouds, controlling the traffic flow, scalability, and balancing the load on virtual machines that are considered the most crucial issue due to their impact on the execution time, resource utilization, and cost. This paper is interested in some of the existing algorithms that distribute the workload evenly. These algorithms aim to avoid the blind assignment that often results in some over-loaded servers while another node might be under-loaded. In this work a combination of two inspired metaheuristic algorithms BAT and cuckoo search was proposed; the first algorithm can utilize fast exploration using global search, the latter algorithm can avoid trapping into BAT local optimum problem using levy flight with a far random walk. Additonaly, the proposed algorithm could be used to mitigate distributed denial of service (DDoS) attack that aims to cause endless load on the servers and stop the service. Experimental results for five virtual machine (VM), ten VM, with the varying number of tasks showed that the proposed algorithm has better resource utilization and less makespan time in almost all the cases.
Co-Authors Rawaa Mohammed Abdul Hussein Rawaa Mohammed Abdul-Hussein