Πλοήγηση ανά Θέμα "Cluster computing"
Αποτελέσματα 1-10 από 10
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Cherry: A Distributed Task-Aware Shuffle Service for Serverless Analytics
(2021)While there has been a lot of effort in recent years in optimising Big Data systems like Apache Spark and Hadoop, the all-to-all transfer of data between a MapReduce computation step, i.e., the shuffle data mechanism between ... -
A comparison of distributed spatial data management systems for processing distance join queries
(2017)Due to the ubiquitous use of spatial data applications and the large amounts of spatial data that these applications generate, the processing of large-scale distance joins in distributed systems is becoming increasingly ... -
Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification
(2018)This paper proposes a novel methodology for automatic detection and localization of gastrointestinal (GI) anomalies in endoscopic video frame sequences. Training is performed with weakly annotated images, using only ... -
Distributed resource allocation mechanism for SOA service level agreements
(2011)Enterprise computing facilities, such as data centers or server farms typically employ service-oriented architectures (SOA) to support multiple, XML-based Web Services. They are typically architected in multiple computing ... -
Efficient distance join query processing in distributed spatial data management systems
(2020)Due to the ubiquitous use of spatial data applications and the large amounts of such data these applications use, the processing of large-scale distance joins in distributed systems is becoming increasingly popular. Distance ... -
Enhancing Sedona (formerly GeoSpark) with Efficient k Nearest Neighbor Join Processing
(2021)Sedona (formerly GeoSpark) is an in-memory cluster computing system for processing large-scale spatial data, which extends the core of Apache Spark to support spatial datatypes, partitioning techniques, indexes, and ... -
Exploiting CPU voltage margins to increase the profit of cloud infrastructure providers
(2019)Energy efficiency is a major concern for cloud computing, with CPUs accounting a significant fraction of datacenter nodes power consumption. CPU manufacturers introduce voltage margins to guarantee correct operation. ... -
Increasing the Profit of Cloud Providers through DRAM Operation at Reduced Margins
(2020)Energy reduction is a key objective in cloud computing, and DRAM memories are responsible for an important amount of the energy consumption of data center nodes. Vendors adopt very conservative margins for DRAM operating ... -
A market-based protocol with leasing support for globally distributed computing
(2001)We have developed JaWS, a Java-based Web computing system, which enables users to effortlessly export their machines in a global market of processing capacity to host remote computations (S. Lalis and A. Karipidis, 2000). ... -
Mobility support through caching in content-based publish/subscribe networks
(2010)In a publish/subscribe (pub/sub) network, message delivery is guaranteed for all connected subscribers at publish time. However, in a dynamic mobile scenario where users join and leave the network, it is important that ...