Dynamic Software Updates for Accelerating Scientific Discovery

被引：0

作者：

Kim, Dong Kwan ^{[1
]}

Song, Myoungkyu ^{[1
]}

Tilevich, Eli ^{[1
]}

Ribbens, Calvin J. ^{[1
]}

Bohner, Shawn A. ^{[1
]}

机构：

[1] Virginia Tech, Dept Comp Sci, CHECS, Blacksburg, VA 24061 USA

来源：

COMPUTATIONAL SCIENCE - ICCS 2009, PART I | 2009年 / 5544卷

关键词：

Dynamic Software Updates; Time-to-Discovery; Computationally-Intensive Applications; JVM HotSwap; Bytecode Enhancement;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Distributed parallel applications often run for hours or even days before arriving to a result. In the case of such long-running programs, the initial requirements could change after the program has started executing. To shorten the time it takes to arrive to a result when running a, distributed computationally-intensive application, this paper proposes leveraging the power and flexibility of dynamic software. updates. In particular, to enable flexible dynamic software updates, we introduce a novel binary rewriting approach that is more efficient than the existing techniques. While ensuring greater flexibility in enhancing a running program for new requirements, our binary rewriting technique incurs Only negligible performance overhead. We validate our approach via, a case study of dynamically changing a parallel scientific simulation.

引用

页码：237 / 247

页数：11