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ÇѱÛÁ¦¸ñ(Korean Title) |
Çù»ó ÇعýÀ» ÀÌ¿ëÇÑ ÀÌ´õ¸®¿ò »þµå ºÎÇÏ ±ÕÇü ¾Ë°í¸®Áò |
¿µ¹®Á¦¸ñ(English Title) |
Adaptive Load Balancing Algorithm of Ethereum Shard Using Bargaining Solution |
ÀúÀÚ(Author) |
¹éµ¿È¯
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Baek Dong Hwan
Kim Sung Wook
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¿ø¹®¼ö·Ïó(Citation) |
VOL 10 NO. 04 PP. 0093 ~ 0100 (2021. 04) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
The Ethereum shard system for solving the scalability problem of the blockchain has a load balancing issue, which is modeled as a graph partitioning problem. In this paper, we propose an adaptive online weighted graph partitioning algorithm that can negotiate between two utility of the shard system using the game theory's bargaining solution. The bargaining solution is an axiomatic solution that can fairly determine the points of conflict of utility. The proposed algorithm was improved to apply the existing online graph partitioning algorithm to the weighted graph, and load balancing was performed efficiently through the design considering the situation of the sharding system using the extension of Nash bargaining solution, which is extended to apply solution to non-convex feasible set of bargaining problem. As a result of the experiment, it showed up to 37% better performance than typical load balancing algorithm of shard system.
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Å°¿öµå(Keyword) |
ÀÌ´õ¸®¿ò
ºí·ÏüÀÎ
»þµù
Çù»ó Çعý
°ÔÀÓ ÀÌ·Ð
±×·¡ÇÁ ºÐÇÒ
ºÎÇÏ ±ÕÇü
Ethereum
Blockchain
Sharding
Bargaining Solution
Game Theory
Graph Partitioning
Load Balancing
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ÆÄÀÏ÷ºÎ |
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