2015
DOI: 10.1007/978-81-322-2494-5_6
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Big Data Service Agreement

Abstract: World today having several services on Web generates high volume of data around, so much so that one cannot just afford to ignore. These data volumes together usually referred as big data, though look heterogeneous and unrelated at a glance; still, big data carry striking relations among them implicitly as well as explicitly, so that many users across the world may get interested of data patterns being generated at a far end of the world. Thus, there is a need to deliver big data available on cyberspace to use… Show more

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Cited by 2 publications
(2 citation statements)
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“…Lot of research has also been done to assess the behavior of Big Data technologies. Several approaches have been developed in the area of Sla for Big Data applications, mainly targeting MapReduce jobs [22,23,24] and Hadoop [25], where they either tried to identify and address Sla violations or found appropriate algorithms taking into consideration the performance of these services at all cloud layers [26].…”
Section: Related Workmentioning
confidence: 99%
“…Lot of research has also been done to assess the behavior of Big Data technologies. Several approaches have been developed in the area of Sla for Big Data applications, mainly targeting MapReduce jobs [22,23,24] and Hadoop [25], where they either tried to identify and address Sla violations or found appropriate algorithms taking into consideration the performance of these services at all cloud layers [26].…”
Section: Related Workmentioning
confidence: 99%
“…Fundamentally, SLA can be defined according to a well-understood cloud layer stack as SaaS-level (e.g., event detection delay minimization and availability maximization), PaaS-level (e.g., stream processing latency minimization and batch processing latency minimization), and IaaS-level (e.g., CPU utilization, network throughput and latency minimization) [32]. According to these types of SLAs-based cloud layers, the research works are discussed in this section.…”
Section: Cloud Layered-basedmentioning
confidence: 99%