Title
Madoop: Improving Browser-Based Volunteer Computing Based on Modern Web Technologies
Abstract
Browser-based volunteer computing (BBVC) is one of the distributed computing paradigms, attracting researchers’ and developers’ attention for its portability and extraordinary potential of computing power. However, BBVC still has two significant challenges: low programmability and performance. These challenges are a heavy burden for users and prevent BBVC from wide-spreading. In this paper, we propose a novel BBVC framework to solve the challenges by using MapReduce and WebAssembly. Our framework reduces the total execution time by 64% compared with a traditional BBVC mechanism. We also show a practical scenario and its performance.
Year
DOI
Venue
2019
10.1109/SANER.2019.8668014
2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER)
Keywords
Field
DocType
Browsers,Servers,Task analysis,Computer applications,Distributed processing,Runtime
Task analysis,Computer science,Server,Software portability,Execution time,Computer Applications,Volunteer computing,Operating system
Conference
ISBN
Citations 
PageRank 
978-1-7281-0591-8
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Hiroyuki Matsuo101.01
Shinsuke Matsumoto220533.53
Yoshiki Higo356046.90
Shinji Kusumoto41811137.88