We also discuss how Grid computing can be applied to financial applications. A key requirement here is that fast response times are needed. We present a Grid services scheduler that is well suited to commercial applications requiring fast response times.doi:10.1007/978-1-4615-0361-3_13William A. BarnettCarl ChiarellaSteve KeenRobert MarksHermann ...
In-memory data grid enables application developers and managers fast access to key-value data. Coherence ensures maximum scalability and performance by providing clustered low-latency data storage, polyglot grid computing, and asynchronous event streamin
implement parallel distributed computing algorithms and event-driven architectures, and store data in microservices and AI applications. Oracle Coherence is a fast, key-value store with optional persistence, offering fault-tolerant automatic sharding, polyglot and REST interfaces, querying, transactions, eve...
and amount of data Peer-to-peer and internet computing Design environments, application development tools, languages and compilation techniques for GRID Computing Grid applications and system solutions in science, engineering and commerce Novel uses of Grid Computing concepts and technologies, for example ...
Grid scheduling in the advanced level differs from the conventional scheduling of jobs and resources and hence it forms a key issue in Grid resource management. The mapping of jobs to appropriate resources for execution of an application in heterogeneous environments like Grid computing is found to ...
“Access to cloud computing gives utilities the flexibility to deploy energy on-demand where and when it’s needed,” said Matthew Green, SVP, Chief Information & Digital Officer, PPL Corporation. “And having the support of partners who can help utilities like ours deploy cloud and other grid...
Similarly, commodity microprocessors developed and marketed for the desktop have played a key role in the rise of large-scale parallel clusters. Recently, graphical processing units (GPUs) have become a major component of modern HPC systems. Even Grid computing, which in its infancy was motivated ...
Systems, Applications, and Programming Models: Advances in middleware, operating systems, programming frameworks, and distributed application development. Track 3 - Sustainable Computing and Green Technologies: Energy-efficient computing, carbon-aware architectures and platforms, and sustainable design across ...
It is an open network computing platform. It provides the building blocks and services required to enable anything and anywhere application connectivity. JXTA's building blocks help in building applications in client-server or web-based computing or in distributed computing models. JXTA has a common...
Key enabling technologies of EC in SGs are summarized on the physical level, the presentation level, the task level, and the application level as follows: 2.5.1. Physical-level technology Physical-level technology is mainly utilized for industrial embedded chips, including heterogeneous computing, lig...