Computation offloading to save energy on handheld devices

Li, Zhiyuan; Wang, Cheng; Xu, Rong

doi:10.1145/502217.502257

Cited by 150 publications

(92 citation statements)

References 7 publications

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“…If the first bit of the stream is 1, the starting cell is (1,2) and if the first bit of the stream is 0, the starting cell is (2,1).…”

Section: Proposed Algorithm Based On the Dynamic Programing Tablementioning

confidence: 99%

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Energy Optimization using Cloud Offloading Algorithm

Jyothi¹

2017

IJCATR

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Abstract-Computational offloading is an effective method to address the limited battery power of a mobile device, by executing some components of a mobile application in the cloud. In this paper, a novel offloading algorithm called 'Dynamic Programming with Hamming Distance Termination' (denoted DPH) is presented. The algorithm uses randomization and a hamming distance termination criterion to find a nearly optimal offloading solution quickly. The algorithm will offload as many tasks as possible to the cloud when the network transmission bandwidth is high, thereby improving the total execution time of all tasks and minimizing the energy use of the mobile device. Furthermore, the algorithm is extensible to handle larger offloading problems without a loss of computational efficiency.

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“…If the first bit of the stream is 1, the starting cell is (1,2) and if the first bit of the stream is 0, the starting cell is (2,1).…”

Section: Proposed Algorithm Based On the Dynamic Programing Tablementioning

confidence: 99%

“…Computation offloading is a method where some of the computational tasks of a mobile application can be offloaded to run on remote servers in the cloud, in order to save energy [1] [2]. However, the problem of partitioning the application tasks for offloading is NPcomplete in general.…”

Section: Introductionmentioning

confidence: 99%

Energy Optimization using Cloud Offloading Algorithm

Jyothi¹

2017

IJCATR

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“…The logistics supply and product sales of coastal area has a certain promotion relationship, quantitative analysis of the relationship between logistics and product sales in the coastal area is studied [4]. Because it can alleviate the load pressure of logistics resources, improve the important role of logistics resource distribution and logistics supply efficiency [5].…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling analysis of logistics status and product sales in coastal area

Li¹,

Li²

2015

Advances in Intelligent Systems Research

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Abstract. In the coastal areas, the logistics industry and sales industry have taken a great development, and development is very rapid, it is necessary to research the relationship between logistics status and product sales model of coastal areas, and it has an important value in practice. The logistics supply and product sales of coastal area has a certain promotion relationship, quantitative analysis of the relationship between logistics and product sales in the coastal area is studied. Because it can alleviate the load pressure of logistics resources, improve the important role of logistics resource distribution and logistics supply efficiency. The traditional model uses game model for mathematical modelling analysis of logistics status and product sales in coastal area, unbalanced problems of resource allocation between logistics and product sales in the coastal area has occurred. According to this problem, an improved promotion relationship mathematical model of the coastal area of product sales and logistics is proposed based on logistics and logistics distribution computing, logistics resources distribution and product sales promotion model principle is analyzed, uses the data mining technology as a tool, extract the necessary information and knowledge, logistics and product sales promotion and relationship model of coastal areas is constructed, to solve the nonlinear programming model and it can provide the logistics decision function for sales industry, influence factor of logistics to promote product sales in the coastal area is calculated, the game and contain of logistics and product sales in the coastal area are analyzed, the mathematical model is constructed to achieve the best proportion, the logistics service level and return index are taken for comparison, the simulation results show that, can effectively improve the logistics service level, improve logistics gain with this model, improve the throughput gains of logistics and product sales, and it can promote the rapid growth of the logistics industry and the retail industry revenue.

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“…In [9] the authors introduced a fault tolerance architecture to provide continuous QoS support in case of network failures, by allowing users to access one of several wireless networks. Also, computation offloading on mobile computers has been previously explored [11] [14][16] [15]. In [14] the authors use offloading computation techniques for reducing execution time and energy consumption on handheld devices, assuming both input and output are local.…”

Section: Quality Of Service In Ad-hoc Networkmentioning

confidence: 99%

“…Also, computation offloading on mobile computers has been previously explored [11] [14][16] [15]. In [14] the authors use offloading computation techniques for reducing execution time and energy consumption on handheld devices, assuming both input and output are local. A task partition/allocation scheme is proposed to allow the computation to be offloaded from the handheld to a server through a wireless LAN.…”

Section: Quality Of Service In Ad-hoc Networkmentioning

confidence: 99%

Dynamic QoS-Aware Coalition Formation

Nogueira

Pinho

19th IEEE International Parallel and Distributed Processing Symposium

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Users of wireless devices increasingly demand access to multimedia content with specific quality of service requirements. Users might tolerate different levels of service, or could be satisfied with different quality combinations choices. However, multimedia processing introduces heavy resource requirements on the client side.Our work tries to address the growing demand on resources and performance requirements, by allowing wireless nodes to cooperate with each other to meet resource allocation requests and handle stringent constraints, opportunistically taking advantage of the local ad-hoc network that is created spontaneously, as nodes move in range of each other, forming a temporary coalition for service execution. Coalition formation is necessary when a single node cannot execute a specific service, but it may also be beneficial when groups perform more efficiently when compared to a single s node performance.

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Computation offloading to save energy on handheld devices

Cited by 150 publications

References 7 publications

Energy Optimization using Cloud Offloading Algorithm

Energy Optimization using Cloud Offloading Algorithm

Mathematical modeling analysis of logistics status and product sales in coastal area

Dynamic QoS-Aware Coalition Formation

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