[PDF][PDF] 云计算: 体系架构与关键技术
罗军舟， 金嘉晖， 宋爱波， 东方 - 通信学报, 2011 - fs.gongkong.com
系统地分析和总结云计算的研究现状, 划分云计算体系架构为核心服务, 服务管理,
用户访问接口等3 个层次. 围绕低成本, 高可靠, 高可用, 规模可伸缩等研究目标 …
用户访问接口等3 个层次. 围绕低成本, 高可靠, 高可用, 规模可伸缩等研究目标 …
Twister: a runtime for iterative mapreduce
J Ekanayake, H Li, B Zhang, T Gunarathne… - Proceedings of the 19th …, 2010 - dl.acm.org
MapReduce programming model has simplified the implementation of many data parallel
applications. The simplicity of the programming model and the quality of services provided …
applications. The simplicity of the programming model and the quality of services provided …
Cloud computing in e-Science: research challenges and opportunities
Abstract Service-oriented architecture (SOA), workflow, the Semantic Web, and Grid
computing are key enabling information technologies in the development of increasingly …
computing are key enabling information technologies in the development of increasingly …
Load balancing for mapreduce-based entity resolution
The effectiveness and scalability of MapReduce-based implementations of complex data-
intensive tasks depend on an even redistribution of data between map and reduce tasks. In …
intensive tasks depend on an even redistribution of data between map and reduce tasks. In …
High performance parallel computing with clouds and cloud technologies
J Ekanayake, G Fox - … , CloudComp 2009 Munich, Germany, October 19 …, 2010 - Springer
Infrastructure services (Infrastructure-as-a-service), provided by cloud vendors, allow any
user to provision a large number of compute instances fairly easily. Whether leased from …
user to provision a large number of compute instances fairly easily. Whether leased from …
Multi-objective scheduling of many tasks in cloud platforms
The scheduling of a many-task workflow in a distributed computing platform is a well known
NP-hard problem. The problem is even more complex and challenging when the virtualized …
NP-hard problem. The problem is even more complex and challenging when the virtualized …
Optimizing load balancing and data-locality with data-aware scheduling
Load balancing techniques (eg work stealing) are important to obtain the best performance
for distributed task scheduling systems that have multiple schedulers making scheduling …
for distributed task scheduling systems that have multiple schedulers making scheduling …
Cloud technologies for bioinformatics applications
J Ekanayake, T Gunarathne… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Executing large number of independent jobs or jobs comprising of large number of tasks that
perform minimal intertask communication is a common requirement in many domains …
perform minimal intertask communication is a common requirement in many domains …
[HTML][HTML] Genomic big data hitting the storage bottleneck
L Papageorgiou, P Eleni, S Raftopoulou… - EMBnet …, 2018 - ncbi.nlm.nih.gov
During the last decades, there is a vast data explosion in bioinformatics. Big data centres are
trying to face this data crisis, reaching high storage capacity levels. Although several …
trying to face this data crisis, reaching high storage capacity levels. Although several …
Challenges and approaches for distributed workflow-driven analysis of large-scale biological data: vision paper
Next-generation DNA sequencing machines are generating a very large amount of
sequence data with applications in many scientific challenges and placing unprecedented …
sequence data with applications in many scientific challenges and placing unprecedented …