Next generation cloud computing: New trends and research directions
B Varghese, R Buyya - Future Generation Computer Systems, 2018 - Elsevier
The landscape of cloud computing has significantly changed over the last decade. Not only
have more providers and service offerings crowded the space, but also cloud infrastructure …
have more providers and service offerings crowded the space, but also cloud infrastructure …
Big data resource management & networks: Taxonomy, survey, and future directions
FM Awaysheh, M Alazab, S Garg… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Big Data (BD) platforms have a long tradition of leveraging trends and technologies from the
broader computer network and communication community. For several years, dedicated …
broader computer network and communication community. For several years, dedicated …
A data replica placement strategy for IoT workflows in collaborative edge and cloud environments
Y Shao, C Li, H Tang - Computer Networks, 2019 - Elsevier
The convergence of edge and cloud computing shares their strengths, such as unlimited
shared storage and computing resources from cloud, low-latency data preprocessing of …
shared storage and computing resources from cloud, low-latency data preprocessing of …
MapReduce and its applications, challenges, and architecture: a comprehensive review and directions for future research
SN Khezr, NJ Navimipour - Journal of Grid Computing, 2017 - Springer
Profound attention to MapReduce framework has been caught by many different areas. It is
presently a practical model for data-intensive applications due to its simple interface of …
presently a practical model for data-intensive applications due to its simple interface of …
[HTML][HTML] Data locality in high performance computing, big data, and converged systems: An analysis of the cutting edge and a future system architecture
Big data has revolutionized science and technology leading to the transformation of our
societies. High-performance computing (HPC) provides the necessary computational power …
societies. High-performance computing (HPC) provides the necessary computational power …
Renda: resource and network aware data placement algorithm for periodic workloads in cloud
HK Thakkar, PK Sahoo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The Hadoop enabled cloud platforms are gradually becoming preferred computational
environment to execute scientific big data workloads in a periodic manner. However, it is …
environment to execute scientific big data workloads in a periodic manner. However, it is …
[HTML][HTML] Smart data placement using storage-as-a-service model for big data pipelines
Big data pipelines are developed to process data characterized by one or more of the three
big data features, commonly known as the three Vs (volume, velocity, and variety), through a …
big data features, commonly known as the three Vs (volume, velocity, and variety), through a …
Historical data based approach to mitigate stragglers from the Reduce phase of MapReduce in a heterogeneous Hadoop cluster
Hadoop MapReduce processes data on the cluster of commodity hardware (node) in two
phases using Map and Reduce tasks. Yet another resource negotiator (YARN), a dynamic …
phases using Map and Reduce tasks. Yet another resource negotiator (YARN), a dynamic …
Early straggler tasks detection by recurrent neural network in a heterogeneous environment
KL Bawankule, RK Dewang, AK Singh - Applied Intelligence, 2023 - Springer
Heterogeneity is common in parallel and distributed environments used for extensive
computations such as MapReduce. Stragglers are the tasks that are running on inferior …
computations such as MapReduce. Stragglers are the tasks that are running on inferior …
Big data for smart infrastructure design: Opportunities and challenges
Big data is being at the forefront of many ICT-based developments in all spheres of life, be it
business, education, or entertainment. Big data is being generated from many diverse …
business, education, or entertainment. Big data is being generated from many diverse …