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This paper explores resource allocation strategy in the Baidu Over The Edge system to enable mobile edge computing (MEC) datacenters to effectively support cloud‐native services downstream to the network edge. There are many challenges to this issue. First, MEC datacenters are resource‐constrained to fully meet resource demands. Second, previous works regard the resource requirements of each service...
High performance computing is focused on providing high productivity computing system (HPCS), instead of seeking high performance only. HPCS needs more scalable and powerful resource management system. This paper proposes scalable hierarchy resource management architecture with cascade services to support the scalability of HPCS. We design a method of dynamic self-organization services configuration,...
In high performance computing field such as climate, biology, we often need to integrate resources across distributed, heterogeneous, and autonomous systems to enable e-scientists to solve complex scientific problems in collaborative way. However, current resource (service) collaboration methods still suffer from either low efficiency for automatically building a composition plan because of the involved...
Current service composition and coordination still remain at large amount of manual processing stage, which has brought about low efficiency. In this paper, we present an efficient algorithm for abstract service discovery and a service instance selection method. Our algorithm firstly builds up the special data structures of ontology concepts based on graph storage theories when publishing abstract...
As an innovative grid computing technique for sharing the distributed memory resources in a wide- area network, RAM Grid exploits the free nodes to provide remote memory for others. The data intensive applications with massive random disk 10, such as the web server or database systems, have potential benefits from RAM Grid. We analyzed the trace collected from real servers, and proposed the key issues...
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