Optimal Workload Allocation in Fog-Cloud Computing Towards Balanced Delay and Power Consumption

Deng, Ruilong; Lu, Rongxing; Lai, Chengzhe; Luan, Tom H.; Liang, Hao

doi:10.1109/jiot.2016.2565516

Cited by 573 publications

(414 citation statements)

References 32 publications

Supporting

Mentioning

376

Contrasting

Unclassified

Order By: Relevance

“…Then, they compared it to the traditional architecture of cloud computing and analyzed the performance of delay and energy consumption in the background of IoT. Deng et al [23] focused on the problem of delay and optimal energy consumption in cloudfog computing. They divided the problem of data transmission, existing in fog computing, into three subproblems and analyzed the performance of delay from the perspective of balanced load.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Data Processing Delay Optimization in Mobile Edge Computing

Wang

et al. 2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

With the development of Internet of Things (IoT), the number of mobile terminal devices is increasing rapidly. Because of high transmission delay and limited bandwidth, in this paper, we propose a novel three-layer network architecture model which combines cloud computing and edge computing (abbreviated as CENAM). In edge computing layer, we propose a computational scheme of mutual cooperation between the edge devices and use the Kruskal algorithm to compute the minimum spanning tree of weighted undirected graph consisting of edge nodes, so as to reduce the communication delay between them. Then we divide and assign the tasks based on the constrained optimization problem and solve the computation delay of edge nodes by using the Lagrange multiplier method. In cloud computing layer, we focus on the balanced transmission method to solve the data transmission delay from edge devices to cloud servers and obtain an optimal allocation matrix, which reduces the data communication delay. Finally, according to the characteristics of cloud servers, we solve the computation delay of cloud computing layer. Simulation shows that the CENAM has better performance in data processing delay than traditional cloud computing.

show abstract

Section: Related Workmentioning

confidence: 99%

“…Differing from [23], we use the method of balanced transmission to solve the problem of communication delay, and obtain the optimal allocation matrix . is the amount of transmission data from edge device to cloud server .…”

Section: Solution Of Delay Optimization In Cloud Computing Layermentioning

confidence: 99%

Data Processing Delay Optimization in Mobile Edge Computing

Wang

et al. 2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…As introduced above, unfortunately, to deliver on the promise of F2C architectures, it must be remarked that the design and evaluation of service allocation schemes is an issue not yet addressed. Among the research efforts in service allocation somehow related to combined F2C scenarios, we can mention the studies available in [7] and [8]. Both studies discuss the allocation of services in Fog and Cloud, with the emphasis on static service planning scenarios, that is the set of services to be allocated is known in advance.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Evaluating the benefits of combined and continuous Fog-to-Cloud architectures

Ramírez

Masip-Bruin

Marín‐Tordera

et al. 2017

Computer Communications

View full text Add to dashboard Cite

The need to extend the features of Cloud computing to the edge of the network has fueled the development of new computing architectures, such as Fog computing. When put together, the combined and continuous use of fog and cloud computing, lays the foundation for a new and highly heterogeneous computing ecosystem, making the most out of both, cloud and fog. Incipient research efforts are devoted to propose a management architecture to properly manage such combination of resources, such as the reference architecture proposed by the OpenFog Consortium or the recent Fog-to-Cloud (F2C). In this paper, we pay attention to such a combined ecosystem and particularly evaluate the potential benefits of F2C in dynamic scenarios, considering computing resources mobility and different traffic patterns. By means of extensive simulations we specifically study the aspects of service response time, network bandwidth occupancy, power consumption and service disruption probability. The results indicate that a combined fog-to-cloud architecture brings significant performance benefits in comparison with the traditional standalone Cloud, e.g., over 50% reduction in terms of power consumption.

show abstract

“…The various authentication mechanisms are proposed to secure multicloud in [7][8][9][10][11]. To improve the performance of cloud services, Energy-efficient algorithm for dynamic consolidation of Virtual machine [12], scheduling policy for compute-intensive workflow applications in multi-tenant cloud computing environments [13], Efficient workload allocation to reduce delay and power consumption [14], fault tolerant mechanism for virtual machine [15], task allocation method for minimizing execution time and energy has proposed in [16].…”

Section: Related Workmentioning

confidence: 99%

User Authentication Framework with Improved Performance in Multi-cloud Environment

Th¹,

eeswaran²,

Durai³

2017

Am J Compt Sci Inform Technol

View full text Add to dashboard Cite

Cloud computing is an internet-based computing where shared resources, software and information provided to the end-users, on demand. The end users can be comfortable with the cloud as its features on-demand self-services, broad network access, resource pooling, rapid elasticity and measured service, make it more efficient. Security is one of the major issues which hamper the growth of cloud. Confidentiality-Integrity-Availability are the major security goals to be ensured by the security mechanisms. Authentication could provide a better solution in all three aspects. Various authentication based methodologies proposed by experts are in the field, with their own strength and weakness. This paper proposed an authentication scheme along with performance enhancement. Initial phase of the proposal differentiates the request as wired or wireless network. Based on which, appropriate authentication protocol comes into play, wired adopts keystroke behaviour and wireless follows SSID. In the second phase, users behaviour were analysed and credits assigned to them, based on which resource accessibility is restricted. In the third phase, performance characteristics were taken into account. Analytical results support the claim to enhance the security services and also the performance factors such as resource utilizations and cost.

show abstract

Optimal Workload Allocation in Fog-Cloud Computing Towards Balanced Delay and Power Consumption

Cited by 573 publications

References 32 publications

Data Processing Delay Optimization in Mobile Edge Computing

Data Processing Delay Optimization in Mobile Edge Computing

Evaluating the benefits of combined and continuous Fog-to-Cloud architectures

User Authentication Framework with Improved Performance in Multi-cloud Environment

Contact Info

Product

Resources

About