Efficient deadline-aware scheduling for the analysis of Big Data streams in public Cloud
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Efficient deadline-aware scheduling for the analysis of Big Data streams in public Cloud
Authors
Keywords
Streaming Big Data analysis query, Deadline-aware scheduling, Cloud-based stream processing
Journal
Cluster Computing-The Journal of Networks Software Tools and Applications
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2019-02-14
DOI
10.1007/s10586-019-02908-2
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Dynamic resource allocation for big data streams based on data characteristics (5Vs)
- (2017) Navroop Kaur et al. International Journal of Network Management
- Building a fault tolerant framework with deadline guarantee in big data stream computing environments
- (2017) Dawei Sun et al. JOURNAL OF COMPUTER AND SYSTEM SCIENCES
- Real-time scheduling based on optimized topology and communication traffic in distributed real-time computation platform of storm
- (2017) Chunlin Li et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Rethinking elastic online scheduling of big data streaming applications over high-velocity continuous data streams
- (2017) Dawei Sun et al. JOURNAL OF SUPERCOMPUTING
- Elastic resource provisioning for scientific workflow scheduling in cloud under budget and deadline constraints
- (2016) Jiyuan Shi et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- Responsive and efficient provisioning for multimedia applications
- (2016) Md. Mahfuzur Rahman et al. COMPUTERS & ELECTRICAL ENGINEERING
- Resource management for bursty streams on multi-tenancy cloud environments
- (2016) Rafael Tolosana-Calasanz et al. Future Generation Computer Systems-The International Journal of eScience
- CEPSim: Modelling and simulation of Complex Event Processing systems in cloud environments
- (2016) Wilson A. Higashino et al. Future Generation Computer Systems-The International Journal of eScience
- Incremental Query Processing on Big Data Streams
- (2016) Leonidas Fegaras IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Application type based resource allocation strategy in cloud environment
- (2016) Jun-jie Peng et al. MICROPROCESSORS AND MICROSYSTEMS
- Real-time processing of streaming big data
- (2016) Ali A. Safaei REAL-TIME SYSTEMS
- A Stable Online Scheduling Strategy for Real-Time Stream Computing Over Fluctuating Big Data Streams
- (2016) Dawei Sun et al. IEEE Access
- Predictive Cloud Computing with Big Data: Professional Golf and Tennis Forecasting [Application Notes]
- (2015) Aaron K. Baughman et al. IEEE Computational Intelligence Magazine
- Re-Stream: Real-time and energy-efficient resource scheduling in big data stream computing environments
- (2015) Dawei Sun et al. INFORMATION SCIENCES
- A nodes scheduling model based on Markov chain prediction for big streaming data analysis
- (2014) Qingchen Zhang et al. INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
- StreamCloud: An Elastic and Scalable Data Streaming System
- (2012) Vincenzo Gulisano et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- Cost optimized provisioning of elastic resources for application workflows
- (2011) Eun-Kyu Byun et al. Future Generation Computer Systems-The International Journal of eScience
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started