NDLI: A Two-Stage Multi-Objective Optimization of Erasure Coding in Overlay Networks

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A Two-Stage Multi-Objective Optimization of Erasure Coding in Overlay Networks

Content Provider	ACM Digital Library
Author	Saurabh, Nishant Kimovski, Dragi Gaetano, Francesco Prodan, Radu
Abstract	In the recent years, overlay networks have emerged as a crucial platform for deployment of various distributed applications. Many of these applications rely on data redundancy techniques, such as erasure coding, to achieve higher fault tolerance. However, erasure coding applied in large scale overlay networks entails various overheads in terms of storage, latency and data rebuilding costs. These overheads are largely attributed to the selected erasure coding scheme and the encoded chunk placement in the overlay network. This paper explores a multi-objective optimization approach for identifying appropriate erasure coding schemes and encoded chunk placement in overlay networks. The uniqueness of our approach lies in the consideration of multiple erasure coding objectives such as encoding rate and redundancy factor, with overlay network performance characteristics like storage consumption, latency and system reliability. Our approach enables a variety of tradeoff solutions with respect to these objectives to be identified in the form of a Pareto front. To solve this problem, we propose a novel two stage multi-objective evolutionary algorithm, where the first stage determines the optimal set of encoding schemes, while the second stage optimizes placement of the corresponding encoded data chunks in overlay networks of varying sizes. We study the performance of our method by generating and analyzing the Pareto optimal sets of tradeoff solutions. Experimental results demonstrate that the Pareto optimal set produced by our multi-objective approach includes and even dominates the chunk placements delivered by a related state-of-the-art weighted sum method.
Starting Page	150
Ending Page	159
Page Count	10
File Format	PDF
ISBN	9781509066100
DOI	10.1109/CCGRID.2017.79
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-05-14
Access Restriction	Subscribed
Subject Keyword	Overlay network Pareto optimal set Peer-to-peer Multi-objective optimization Erasure coding
Content Type	Text
Resource Type	Article

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