CRL: Efficient Concurrent Regeneration Codes with Local Reconstruction in Geo-Distributed Storage Systems
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Computer Science and Technology"
DOI: 10.1007/s11390-018-1877-5
Abstract: As a typical erasure coding choice, Reed-Solomon (RS) codes have such high repair cost that there is a penalty for high reliability and storage efficiency, thereby they are not suitable in geo-distributed storage systems. We… read more here.
Keywords: reconstruction; storage; distributed storage; storage systems ... See more keywords
Geo-Distributed IoT Data Analytics With Deadline Constraints Across Network Edge
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3186173
Abstract: Owing to the advancement of the Internet of Things (IoT) and 5G mobile technologies, various IoT devices produce massive data, which is usually transferred to nearby sites, such as edge nodes or datacenters. Many large-scale… read more here.
Keywords: job; iot data; distributed iot; data analytics ... See more keywords
Orchestrating Bulk Data Transfers across Geo-Distributed Datacenters
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Cloud Computing"
DOI: 10.1109/tcc.2015.2389842
Abstract: As it has become the norm for cloud providers to host multiple datacenters around the globe, significant demands exist for inter-datacenter data transfers in large volumes, e.g., migration of big data. A challenge arises on… read more here.
Keywords: data transfers; bulk; bulk data; geo distributed ... See more keywords
Trading Cost and Throughput in Geo-Distributed Analytics With A Two Time Scale Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cloud Computing"
DOI: 10.1109/tcc.2020.2994195
Abstract: In the era of global-scale services, analytical queries are performed on datasets that span multiple data centers (DCs). Such geo-distributed queries generate a large amount of inter-DC data transfers at run time. Due to the… read more here.
Keywords: distributed analytics; cost; cost throughput; inter ... See more keywords
SDTP: Accelerating Wide-Area Data Analytics with Simultaneous Data Transfer and Processing
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cloud Computing"
DOI: 10.1109/tcc.2021.3119991
Abstract: For the efficient analysis of geo-distributed datasets, cloud providers implement data-parallel jobs across geo-distributed sites (e.g., datacenters and edge clusters), which are generally interconnected by wide-area network links. However, current state-of-the-art geo-distributed data analytic methods… read more here.
Keywords: simultaneous data; sdtp; area; wide area ... See more keywords
Delay-Resistant Geo-Distributed Analytics
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2022.3192710
Abstract: Big data analytics platforms have played a critical role in the unprecedented success of data-driven applications. However, real-time and streaming data applications, and recent legislation, e.g., GDPR in Europe, have posed constraints on exchanging and… read more here.
Keywords: resistant geo; big data; delay resistant; data analytics ... See more keywords
Cost-Aware Partitioning for Efficient Large Graph Processing in Geo-Distributed Datacenters
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DOI: 10.1109/tpds.2019.2955494
Abstract: Graph processing is an emerging computation model for a wide range of applications and graph partitioning is important for optimizing the cost and performance of graph processing jobs. Recently, many graph applications store their data… read more here.
Keywords: graph partitioning; graph processing; graph; cost ... See more keywords
Optimizing Network Transfers for Data Analytic Jobs Across Geo-Distributed Datacenters
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2021.3093232
Abstract: It has become a recent trend that large volumes of data are generated, stored, and processed across geographically distributed datacenters. When popular data parallel frameworks, such as MapReduce and Spark, are employed to process such… read more here.
Keywords: network; geo distributed; distributed datacenters; data analytic ... See more keywords
Efficient Flow-Based Scheduling for Geo-Distributed Simulation Tasks in Collaborative Edge and Cloud Environments
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DOI: 10.1109/tpds.2022.3155713
Abstract: Edge computing is a good complement to cloud computing for deploying large-scale geo-distributed simulation applications, which are very sensitive to the communication delay among different simulation components (also called tasks in this paper) and users.… read more here.
Keywords: flow based; distributed simulation; collaborative edge; flow ... See more keywords
Optimized Contract-Based Model for Resource Allocation in Federated Geo-Distributed Clouds
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2018.2797910
Abstract: In the era of Big Data, with data growing massively in scale and velocity, cloud computing and its pay-as-you-go model continues to provide significant cost benefits and a seamless service delivery model for cloud consumers.… read more here.
Keywords: resource; resource allocation; model; resource sharing ... See more keywords
Energy-Aware Cloud Workflow Applications Scheduling With Geo-Distributed Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2020.2965106
Abstract: Electricity prices differ during different time periods and change from place to place. Cloud workflow applications often require geo-distributed data which is transmitted among heterogeneous servers in intra- and inter- data centers. Such varying electricity… read more here.
Keywords: cloud workflow; distributed data; energy; workflow applications ... See more keywords