ElasticActor: An Actor System with Automatic Granularity Adjustment

doi:10.1007/s10766-018-0613-7

	ElasticActor: An Actor System with Automatic Granularity Adjustment
	Zhao, Peng 1,2; Liu, Lei 1; Cao, Wei 1; Dong, Xiao 1,2; Li, Jiansong 1,2; Feng, Xiaobing 1
	2019-06-01
发表期刊	INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING
ISSN	0885-7458
卷号	47 期号:3 页码:520-534
摘要	The actor model has gained significant popularity in recent years, because its high-level abstraction facilitates the construction of massive concurrent distributed systems, e.g. cloud applications. However, building an efficient actor system is a challenging task. In particular, the concurrency granularity has a critical impact on the performance of actor systems. Moreover, the best granularity depends on both the available hardware and the characteristics of the workload. This paper proposes a new actor system, ElasticActor, that automatically adjusts the granularity of parallel execution. In ElasticActor, all actors are assigned to a number of actor stations. Actors in the same station share a mailbox and constitute the minimum scheduling unit. Therefore, the runtime system can adjust the granularity by changing the number of actor stations in the system. More specifically, we model the average latency and derive a closed-form formula to compute the best number of stations. The experimental results show that ElasticActor outperforms two state-of-the-art actor systems, CAF and Orleans. It gains up to 1.3x throughput and decreases the average latency by 0.75x thanks to the granularity adjustment.
关键词	Actor model Concurrency granularity Cloud computing Performance optimization
DOI	10.1007/s10766-018-0613-7
收录类别	SCI
语种	英语
资助项目	National Key R&D Program of China[2016YFB1000402] ; National Natural Science Foundation of China[61521092] ; National Natural Science Foundation of China[61802368] ; National Natural Science Foundation of China[61432018] ; National Natural Science Foundation of China[61332009]
WOS研究方向	Computer Science
WOS类目	Computer Science, Theory & Methods
WOS记录号	WOS:000471644400013
出版者	SPRINGER/PLENUM PUBLISHERS
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/4174
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhao, Peng
作者单位	1.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Peng,Liu, Lei,Cao, Wei,et al. ElasticActor: An Actor System with Automatic Granularity Adjustment[J]. INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING,2019,47(3):520-534.
APA	Zhao, Peng,Liu, Lei,Cao, Wei,Dong, Xiao,Li, Jiansong,&Feng, Xiaobing.(2019).ElasticActor: An Actor System with Automatic Granularity Adjustment.INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING,47(3),520-534.
MLA	Zhao, Peng,et al."ElasticActor: An Actor System with Automatic Granularity Adjustment".INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING 47.3(2019):520-534.