Comparative Analysis of Network Libraries for Offloading Efficiency in Mobile Cloud Environment

Sufyan, Farhan; Banerjee, Amit

doi:10.14569/ijacsa.2019.0100272

Cited by 5 publications

(4 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors claimed that their proposed scheme is effective for scalability and energy consumption and handles computation offloading challenges for smart devices. In [24], the authors proposed a scheme to handle heavy tasks by proposing a Mobile Cloud Computing (MCC). The authors claimed that sharing the workload with the cloud to make things faster and save energy.…”

Section: Related Researchmentioning

confidence: 99%

See 1 more Smart Citation

EOTE-FSC: An efficient offloaded task execution for fog enabled smart cities

Nawaz Tareen,

Alvi,

Alsamani

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

Smart cities provide ease in lifestyle to their community members with the help of Information and Communication Technology (ICT). It provides better water, waste and energy management, enhances the security and safety of its citizens and offers better health facilities. Most of these applications are based on IoT-based sensor networks, that are deployed in different areas of applications according to their demand. Due to limited processing capabilities, sensor nodes cannot process multiple tasks simultaneously and need to offload some of their tasks to remotely placed cloud servers, which may cause delays. To reduce the delay, computing nodes are placed in different vicinitys acting as fog-computing nodes are used, to execute the offloaded tasks. It has been observed that the offloaded tasks are not uniformly received by fog computing nodes and some fog nodes may receive more tasks as some may receive less number of tasks. This may cause an increase in overall task execution time. Furthermore, these tasks comprise different priority levels and must be executed before their deadline. In this work, an Efficient Offloaded Task Execution for Fog enabled Smart cities (EOTE − FSC) is proposed. EOTE − FSC proposes a load balancing mechanism by modifying the greedy algorithm to efficiently distribute the offloaded tasks to its attached fog nodes to reduce the overall task execution time. This results in the successful execution of most of the tasks within their deadline. In addition, EOTE − FSC modifies the task sequencing with a deadline algorithm for the fog node to optimally execute the offloaded tasks in such a way that most of the high-priority tasks are entertained. The load balancing results of EOTE − FSC are compared with state-of-the-art well-known Round Robin, Greedy, Round Robin with longest job first, and Round Robin with shortest job first algorithms. However, fog computing results of EOTE − FSC are compared with the First Come First Serve algorithm. The results show that the EOTE − FSC effectively offloaded the tasks on fog nodes and the maximum load on the fog computing nodes is reduced up to 29%, 27.3%, 23%, and 24.4% as compared to Round Robin, Greedy, Round Robin with LJF and Round Robin with SJF algorithms respectively. However, task execution in the proposed EOTE − FSC executes a maximum number of offloaded high-priority tasks as compared to the FCFS algorithm within the same computing capacity of fog nodes.

show abstract

Section: Related Researchmentioning

confidence: 99%

“…Offers scalability with reduced energy consumption [24] Addresses heavy offloaded tasks Mobile cloud computing for offloaded tasks on cloud Fast processing with energy-saving [25] Trained…”

Section: Queuing Theory With Stochastic Gradient Descent Algorithmmentioning

confidence: 99%

EOTE-FSC: An efficient offloaded task execution for fog enabled smart cities

Nawaz Tareen,

Alvi,

Alsamani

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…Users can browse the online public access catalog to look for digitally based information. The online public access catalog (OPAC) provides information to make it simpler for library patrons to locate materials without having to search the shelves one by one [23].…”

Section: Research Implementationmentioning

confidence: 99%

Information Technology Development's Impact On Library Services

Fauziyyah,

Febriyanti,

Nurtino

et al. 2023

ITEE

View full text Add to dashboard Cite

The purpose of this study is to find out how library services will be affected by advances in information technology. This research examines the various services offered by the library as well as the facilities and technology used there. A descriptive qualitative method was used in this study. Direct observation and interviews were used as data collection methods in this study. In addition, there was an opportunity for the researchers to ask some questions regarding the research that had been conducted. The library director participated in this research. The services provided by the library are a combination of manual and technological services. The main way information technology affects library services is by making it easier for library staff to do their jobs, attracting more visitors, and modernizing the facilities offered by the library.

show abstract

“…Thus the urgent need to reduce latency by improving resource utilisation efficiency and enabling flexible offloading in 6G networks has become apparent. Addressing these core issues has become a key research direction in the field of 6G resource allocation [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Blockchain-based 6G task offloading and cooperative computing resource allocation study

Tian,

Zhang,

et al. 2024

J Cloud Comp

View full text Add to dashboard Cite

In the upcoming era of 6G, the accelerated development of the Internet of Everything and high-speed communication is poised to provide people with an efficient and intelligent life experience. However, the exponential growth in data traffic is expected to pose substantial task processing challenges. Relying solely on the computational resources of individual devices may struggle to meet the demand for low latency. Additionally, the lack of trust between different devices poses a limitation to the development of 6G networks. In response to this issue, this study proposes a blockchain-based 6G task offloading and collaborative computational resource allocation (CERMTOB) algorithm. The proposed first designs a blockchain-based 6G cloud-network-edge collaborative task offloading model. It incorporates a blockchain network on the edge layer to improve trust between terminals and blockchain nodes. Subsequently, the optimization objective is established to minimize the total latency of offloading, computation, and blockchain consensus. The optimal offloading scheme is determined using the wolf fish collaborative search algorithm(WF-CSA) to minimize the total delay. Simulation results show that the WF-CSA algorithm significantly reduces the total delay by up to 42.58% compared to the fish swarm algorithm, wolf pack algorithm and binary particle swarm optimisation algorithm. Furthermore, the introduction of blockchain to the cloud-side-end offloading system improves the communication success rate by a maximum of 14.93% compared to the blockchain-free system.

show abstract

Comparative Analysis of Network Libraries for Offloading Efficiency in Mobile Cloud Environment

Cited by 5 publications

References 32 publications

EOTE-FSC: An efficient offloaded task execution for fog enabled smart cities

EOTE-FSC: An efficient offloaded task execution for fog enabled smart cities

Information Technology Development's Impact On Library Services

Blockchain-based 6G task offloading and cooperative computing resource allocation study

Contact Info

Product

Resources

About