Horacio Andrés Lagar-Cavilla, Joseph Andrew Whitney, Adin Matthew Scannell, Philip Patchin, Stephen M. Rumble, Eyal de Lara, Michael Brudno, Mahadev Satyanarayanan
<span title="">2009</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="" style="color: black;">Proceedings of the fourth ACM european conference on Computer systems - EuroSys &#39;09</a> </i> &nbsp;
Virtual Machine (VM) fork is a new cloud computing abstraction that instantaneously clones a VM into multiple replicas running on different hosts. All replicas share the same initial state, matching the intuitive semantics of stateful worker creation. VM fork thus enables the straightforward creation and efficient deployment of many tasks demanding swift instantiation of stateful workers in a cloud environment, e.g. excess load handling, opportunistic job placement, or parallel computing. Lack
more &raquo; ... f instantaneous stateful cloning forces users of cloud computing into ad hoc practices to manage application state and cycle provisioning. We present SnowFlock, our implementation of the VM fork abstraction. To evaluate SnowFlock, we focus on the demanding scenario of services requiring on-the-fly creation of hundreds of parallel workers in order to solve computationallyintensive queries in seconds. These services are prominent in fields such as bioinformatics, finance, and rendering. Snow-Flock provides sub-second VM cloning, scales to hundreds of workers, consumes few cloud I/O resources, and has negligible runtime overhead.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1145/1519065.1519067</a> <a target="_blank" rel="external noopener" href="">dblp:conf/eurosys/Lagar-CavillaWSPRLBS09</a> <a target="_blank" rel="external noopener" href="">fatcat:jw5njfvjcnbgbpsgh2dgamge7q</a> </span>
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