Paper Info
Title
The Dependability Of Crypto Linked Off-Chain File Systems In Backend Blockchain Analytics Engine
Abstract
This paper presents ways to assure the efficacy of managing crypto links and crypto speed with respect to the dependability of blockchain. The dependability in this work is defined with reference to crypto links in a proportional manner and crypto speed in an inversely proportional manner, respectively. Also, note that dependability is proportional to the cost such that the more the number of crypto links come in place, the higher its cost is. It is a standard and intuitive practice to partition a large output file into smaller pieces at a certain threshold size provided in the blockchain analytics engine (e.g., 250 KB/partition in Interplanetary File Systems (IPFS)/Hadoop). Crypto link is defined by the hash address (i.e., a pointer link) stored in the blockchain for a partition of an output file off from a backend blockchain analytics engine. IPFS manages a crypto link to every partition of a file of interest whereas the proposed crypto link scheme is at a reduced number in order to address the cost and performance issue such that one crypto link to the entire file and the links between partitions within a file are maintained by local chains of links. Crypto speed is defined by the rate of the number of crypto links over the total turnaround time to encrypt all the crypto links (hash addressing) per file. Thus, notice that without loss of generality, the crypto speed increases inverse-linearly along with the number of crypto links. A binomial-based dependability model can be expressed as a rather straightforward function of the total number of partitions and the number of crypto links as proposed in this work. It is demonstrated in this work how the number of crypto links and the crypto speed influence the dependability in a numerical simulation. Also an implementation of an integrated procedure of a blockchain analytics engine is demonstrated along with Hadoop and IPFS modules. (C) 2018 The Authors. Published by Atlantis Press SARL.
Year
DOI
Venue
2018
10.2991/ijndc.2018.6.4.3
INTERNATIONAL JOURNAL OF NETWORKED AND DISTRIBUTED COMPUTING
Keywords
Field
DocType
Blockchain analytics, Ethereum, crypto link, crypto speed, IPFS, Hadoop
Dependability,Computer science,Blockchain,Analytics,Operating system
Journal
Volume
Issue
ISSN
6
4
2211-7938
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Jongho Seol100.68
Abhilash Kancharla200.68
Nicole Park300.34
Nohpill Park47217.90
Indy Park500.34