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Cross-layer SLA management for cloud-hosted big data analytics applications
conference contribution
posted on 2023-05-24, 14:16 authored by Zeng, X, Ranjan, R, Strazdins, P, Saurabh GargSaurabh Garg, Wang, LAs we come to terms with various big data challenges, one vital issue remains largely untouched. That is service level agreement (SLA) management to deliver strong Quality of Service (QoS) guarantees for big data analytics applications (BDAA) sharing the same underlying infrastructure, for example, a public cloud platform. Although SLA and QoS are not new concepts as they originated much before the cloud computing and big data era, its importance is amplified and complexity is aggravated by the emergence of time-sensitive BDAAs such as social network-based stock recommendation and environmental monitoring. These applications require strong QoS guarantees and dependability from the underlying cloud computing platform to accommodate real-time responses while handling ever-increasing complexities and uncertainties. Hence, the over-reaching goal of this PhD research is to develop novel simulation, modelling and benchmarking tools and techniques that can aid researchers and practitioners in studying the impact of uncertainties (contention, failures, anomalies, etc.) on the final SLA and QoS of a cloud-hosted BDAA.
History
Publication title
2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid Computing ProceedingsPagination
765-768ISBN
978-1-4799-8006-2Department/School
School of Information and Communication TechnologyPublisher
Institute of Electrical and Electronics Engineers, Inc.Place of publication
New Jersey, USAEvent title
2015 IEEE/ACM 15th International Symposium on Cluster, Cloud, and Grid ComputingEvent Venue
Shenzhen, ChinaDate of Event (Start Date)
2015-05-04Date of Event (End Date)
2015-05-07Rights statement
Copyright 2015 IEEERepository Status
- Restricted