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Public cloud service vendors provide a surplus of computing resources at acheaper price as a spot instance. Despite the cheaper price, the spot instancecan be forced to be shutdown at any moment whenever the surplus resources arein shortage. To enhance spot instance usage, vendors provide diverse spotinstance datasets. Amon them, the spot price information has been most widelyused so far. However, the tendency toward barely changing spot price weakensthe applicability of the spot price dataset. Besides the price dataset, therecently introduced spot instance availability and interruption ratio datasetscan help users better utilize spot instances, but they are rarely used inreality. With a thorough analysis, we could uncover major hurdles when usingthe new datasets concerning the lack of historical information, queryconstraints, and limited query interfaces. To overcome them, we developSpotLake, a spot instance data archive web service that provides historicalinformation of various spot instance datasets. Novel heuristics to collectvarious datasets and a data serving architecture are presented. Throughreal-world spot instance availability experiments, we present the applicabilityof the proposed system. SpotLake is publicly available as a web service tospeed up cloud system research to improve spot instance usage and availabilitywhile reducing cost.

SpotLake: Diverse Spot Instance Dataset Archive Service