SCHEDULING OF MODULES IN FOG COMPUTING BY KNAPSACK-BASED SYMBIOTIC ORGANISMS SEARCH

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

RAHBARI D.; NICKRAY M.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR Year:2018 | Volume:16 | Issue:2 Page(s): 149-156

Download Full-Text

Persian Verion

View:

1,432

Download:

Cites:

Information Journal Paper

Title

SCHEDULING OF MODULES IN FOG COMPUTING BY KNAPSACK-BASED SYMBIOTIC ORGANISMS SEARCH

Author(s)

RAHBARI D. | NICKRAY M. | Issue Writer Certificate

Keywords

SYMBIOTIC ORGANISM SEARCHQ1

SCHEDULINGQ1

KNAPSACKQ1

FOG COMPUTINGQ1

Abstract

Wireless sensor networks have limitations such as processing power, storage resources, and time delay in data transfer to the cloud. The cloud computing by the development of cloud-based services to the edge of the network reduces traffic and delays, so these types of networks are used in many systems, such as medical care, wearable devices, transportation systems and smart cities. Task SCHEDULING techniques in FOG COMPUTING are considered to be NP-hard issues. Applications require resources to run. Network fog devices are close to the sensors and the cloud and have the required processing power to run the applications. Each fog device can be used to run resource allocation policies. In this paper, we present an optimized KNAPSACK-based method optimized by SYMBIOTIC ORGANISM SEARCH to allocate resources appropriately to tasks in fog network. The proposed method is simulated in the iFogsim as a developed library from Cloudsim for FOG COMPUTING. The results indicate improvement in energy consumption, resource consumption, and execution cost of the network. The proposed method is better than FCFS and KNAPSACK methods.

Cites

No record.

References

Cite

APA: Copy

RAHBARI, D., & NICKRAY, M.. (2018). SCHEDULING OF MODULES IN FOG COMPUTING BY KNAPSACK-BASED SYMBIOTIC ORGANISMS SEARCH. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, 16(2 ), 149-156. SID. https://sid.ir/paper/228480/en

Vancouver: Copy

RAHBARI D., NICKRAY M.. SCHEDULING OF MODULES IN FOG COMPUTING BY KNAPSACK-BASED SYMBIOTIC ORGANISMS SEARCH. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR[Internet]. 2018;16(2 ):149-156. Available from: https://sid.ir/paper/228480/en

IEEE: Copy

D. RAHBARI, and M. NICKRAY, “SCHEDULING OF MODULES IN FOG COMPUTING BY KNAPSACK-BASED SYMBIOTIC ORGANISMS SEARCH,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, vol. 16, no. 2 , pp. 149–156, 2018, [Online]. Available: https://sid.ir/paper/228480/en

Related Journal Papers