Computing while Charging: Building a Distributed Computing Infrastructure using Smartphones

Abstract

Every night, a large range of idle smartphones square measure blocked into an influence supply for recharging the battery. Given the increasing computing capabilities of smartphones, these idle phones constitute a sizeable computing infrastructure. Therefore, for an enterprise that provides its staff with smartphones, we argue that a computing infrastructure that leverages idle smartphones being charged nightlong is AN energy-efficient and efficient various to running tasks on ancient server infrastructure. While parallel execution and scheduling models exist for servers (e.g.,MapReduce), smartphones present a distinctive set of technical challenges attributable to the heterogeneousness in electronic equipment clock speed, variability in network bandwidth, and lower availability compared to servers In this paper, we address several of these challenges to develop CWC—a distributed computing infrastructure mistreatment smartphones. Specifically, our contributions are: (i) we profile the charging behaviors of real phone house owners to show the viability of our approach,(ii) we modify programmers to execute parallelizable tasks on smartphones with very little effort, (iii) we develop a straightforward task migration model to resume interrupted task executions, associate degree (iv) we implement and valuate a paradigm of CWC (with eighteen robot smartphones) that employs an underlying novel programming algorithmic rule to minimize the make span of a group of tasks. Our extensive evaluations demonstrate that the performance of our approach makes our vision viable. Further, we expressly evaluate the performance of CWC’s programming element to demonstrate its effectivity compared to alternative doable approaches.

Authors and Affiliations

Bakiadarshani J, Bairavi G, Vaishnavi G

Keywords

Related Articles

Effect of Aging on Mechanical Properties of S465 Stainless Steel

Applications requiring high strength stainless steels are growing rapidly. Precipitation hardened stainless steels have been limited usage in powder metallurgy despite their high strength. It is possible to induce stren...

Economics of Using Waste Polymer Material as An Alternative to Stone Aggregates in Bituminous Road Pavements

Polymer waste generated at recycled pipe manufacturing plant (locally called jali gulla) is used to obtain an alternative material for stone aggregates. These Waste Polymer Aggregates (WPA) are subjected to different te...

Information Extraction Using Enhanced N-Ary Relation Based IR Algorithm

In this paper, N-ary relation based open domain question answering system for Extraction Information from an oversized assortment of document against arbitrary questions has been presented. We proposed two algorithms to...

IOT based E-Farming

Over the years, our farmers depend on local knowledge for improved farming system. Such knowledge (Local Knowledge) refers to skill and experience gained through oral tradition and practice over many generations. Acquis...

Automatic Metal, Glass and Plastic Waste Sorter

The nation and world is facing a huge problem today of disposal, segregation and recycling of solid waste, and improper management of these wastes are hazardous and dangerous to human health and ecological system. There...

Download PDF file
  • EP ID EP23257
  • DOI http://doi.org/10.22214/ijraset.2017.3060
  • Views 302
  • Downloads 9

How To Cite

Bakiadarshani J, Bairavi G, Vaishnavi G (2017). Computing while Charging: Building a Distributed Computing Infrastructure using Smartphones. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(3), -. https://europub.co.uk/articles/-A-23257