Cloud Computing Implementation in The Public Sector: Factors and Impact

Sallehudin, Hasimi; Razak, Razli Che; Ismail, Mahamod; Fadzil, Ahmad Firdause Md; Baker, Rogis

doi:10.17576/apjitm-2018-0702(02)-03

Cited by 22 publications

(23 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Evaluate the energy consumption of application requests based on the effect of crossover types on energy consumption. The consumed energy is determined by using deterministic mutation for various types of crossover (one-point, two-points) considering the number of generations equal to 8 for the different number of tasks (16,20,24,28,32). Based on the results in Figure 5, two-points crossover performed much better compared to one-point.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…However, when it comes to Cloud IoT, the problem is even more challenging as new dimensions are introduced (i.e., Energy efficiency, resource allocation, etc.) [11][12][13][14][15][16][19][20][21][22][23][24][25][26]. To achieve the goal of energy-saving, which is the most important factor, the proposed approach (shown in Figure 3) attempts to handle the problem by optimizing the selection and placement of behavior of task execution time using a genetic algorithm.…”

Section: Proposed Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Optimizing Energy Consumption for Cloud Internet of Things

et al. 2020

View full text Add to dashboard Cite

The Internet of Things (IoT) and Cloud Computing are considered to be two of the greatest technology revolutions in the last few years. New technology raised in recent years is known as Cloud IoT or the Cloud of Things (CoT), which integrates cloud computing and the Internet of things. Dynamic and heterogeneous environments, energy efficiency, and delay-sensitivity are the major issues with the CoT. Energy efficiency is one of the basic requirements of IoT applications and resources in the cloud, which is a challenging issue in the CoT. This paper proposes the optimization of energy schemes for the CoT by applying a Genetic Algorithm (GA). Extensive numerical simulation is carried out to verify the effectiveness of the proposed method compared to the ETCORA algorithm. The analytical results present better performances of the proposed optimizing energy consumption technique. Results also show that the proposed method indeed outperforms the ETCORA in reducing the energy consumption of task requests.

show abstract

Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: Proposed Methodsmentioning

confidence: 99%

Optimizing Energy Consumption for Cloud Internet of Things

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Simultaneously, the dynamic trade-off factor and roulette selection strategies were employed to dynamically set harmony memory library value-taking probability, fine-tuning pitch bandwidth, fine-tuning pitch probability, and other parameters that were relied upon by traditional harmony search algorithm. e MapReduce programming model was then utilized to set up the Map and Reduce core parallel computing functions to build the parallel algorithm of dynamic parameter harmony search centered on cloud computing [45]. Finally, a Hadoop platform was used to perform algorithm optimization comparison tests and compare them with other existing optimal harmony search algorithms [46][47][48][49].…”

Section: Related Workmentioning

confidence: 99%

An Improved Harmony Search Algorithm for Proactive Routing Protocol in VANET

Muniyandi

Hasan

Hammoodi

et al. 2021

Journal of Advanced Transportation

View full text Add to dashboard Cite

Vehicular ad-hoc network (VANET) is the direct application of mobile ad-hoc network (MANET) in which the nodes represent vehicles moving in a city or highway scenario. The deployment of VANET relies on routing protocols to transmit the information between the nodes. Different routing protocols that have been designed for MANET were proposed to be applied in VANET. However, the real-time implementation is still facing challenges to fulfill the quality of service (QoS) of VANET. Therefore, this study mainly focuses on the well-known MANET proactive optimized link state routing (OLSR) protocol. The OLSR in VANET gives a moderate performance; this is due to its necessity of maintaining an updated routing table for all possible routes. The performance of OLSR is highly dependent on its parameter. Thus, finding optimal parameter configurations that best fit VANET features and improve its quality of services is essential before its deployment. The harmony search (HS) is an emerging metaheuristic optimization algorithm with features of simplicity and exploration efficiency. Therefore, this paper aims to propose an improved harmony search optimization (EHSO) algorithm that considers the configuration of the OLSR parameters by coupling two stages, a procedure for optimization carried out by the EHSO algorithm based on embedding two popular selection methods in its memory, namely, roulette wheel selection and tournament selection. The experimental analysis shows that the proposed approach has achieved the QoS requirement, compared to the existing algorithms.

show abstract

“…Furthermore, [11] and [12] argued that IT professional participation to the IT activities in the organization requires skills and knowledge in technology, interpersonal as well as management to effectively integrate IT with business in the organization. Additionally, they also proposed that IT professionals must able to learn past, current and future IT development in organization to meet the evolving needs.…”

Section: A Human Factorsmentioning

confidence: 99%

“…This assertion is supported by the previous studies which is conceptualize the characteristics of technology such as cloud computing, e-business, mobile application, human resource systems, social media applications, enterprise resource planning, customer relationship management as well as enterprise architecture as an important factor for the implementation and adoption of such technologies [20], [21]. Moreover, the literature additionally recommended further research on the influences of the technological characteristics such as relative advantage and complexity for EA implementation in the public sector [4], [12].…”

Section: Technological Factormentioning

confidence: 99%

Modelling the Enterprise Architecture Implementation in the Public Sector using HOT-Fit Framework

Sallehudin¹,

Satar²,

Bakar³

et al. 2019

IJACSA

Self Cite

View full text Add to dashboard Cite

Enterprise architecture is very important to the public sector's IT systems that are developed, organized, scaled up, maintained and strategized. Despite an extensive literature, the research of enterprise architecture is still at the early stage in public the sector and the reason to explain the acceptance, as well as the understanding of the implementation level of EA services still remains unclear. Therefore, this study examines the implementation of EA by measuring the Malaysian public sector's influence factors of EA. Grounded by the Human-Organization-Technology (HOT-Fit) Model, this study proposes a conceptual framework by decomposing Human characteristics, Organizational characteristics and Technological characteristics as main categories in assessing the identified factors. A total of 92 respondents in the Malaysian public sector participated in this study. Structural Equation Modelling with Partial Least Square is the main statistical technique used in this study. The study has revealed that human characteristics such as knowledge and innovativeness to EA and technological characteristics such as relative advantage and complexity of EA influence its implementation by the Malaysian public sector. Based on the findings, the theoretical and practical implications of the study as well as limitations and future works are also discussed.

show abstract

Cloud Computing Implementation in The Public Sector: Factors and Impact

Cited by 22 publications

References 0 publications

Optimizing Energy Consumption for Cloud Internet of Things

Optimizing Energy Consumption for Cloud Internet of Things

An Improved Harmony Search Algorithm for Proactive Routing Protocol in VANET

Modelling the Enterprise Architecture Implementation in the Public Sector using HOT-Fit Framework

Contact Info

Product

Resources

About