id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_tkn7xe72drcwdmb4dnl5as5iii	Christoph Hochreiner	Cost-efficient enactment of stream processing topologies	2017	36	.pdf	application/pdf	18636	2708	67	Keywords Data stream processing, Cloud computing, Resource elasticity, Resource optimization for data processing in near real-time, which requires the application of SPEs like System S SLA, the system needs to provide more computational resources for data processing. available resources, the SPE is required to lease a new host for the additional operator represents the time to process one data item and pass it on to the following operator type computational resources to instantiate a new instance for the required operator type, operators are needed for SLA-compliant data stream processing, the second possibility is the stepwise data arrival pattern; (C) shows the resource provisioning configuration using the BTU-based approach using a BTU of 60 min for the the stepwise data arrival pattern; (C) shows the resource provisioning configuration using the BTU-based approach using a BTU of 60 min for the Besides the SLA compliance, we also consider the operational cost for data processing.	./cache/work_tkn7xe72drcwdmb4dnl5as5iii.pdf	./txt/work_tkn7xe72drcwdmb4dnl5as5iii.txt