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Proceedings of the 47th International Conference on Parallel Processing Companion, 2018
One of the most challenging problems in modern distributed big data systems lies in their memory management: these systems preallocate a fixed amount of memory before applications start. In the best case where more memory can be acquired, users have to reconfigure the deployment and re-compute many intermediate results.
Abdullah Al-Mamun +3 more
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One of the most challenging problems in modern distributed big data systems lies in their memory management: these systems preallocate a fixed amount of memory before applications start. In the best case where more memory can be acquired, users have to reconfigure the deployment and re-compute many intermediate results.
Abdullah Al-Mamun +3 more
openaire +1 more source
Proceedings of the 8th ACM SIGPLAN/SIGOPS conference on Virtual Execution Environments, 2012
As cloud-based computation becomes increasingly important, providing a general computational interface to support datacenter-scale programming has become an imperative research agenda. Many cloud systems use existing virtual machine monitor (VMM) technologies, such as Xen, VMware, and Windows Hypervisor, to multiplex a physical host into multiple ...
Zhiqiang Ma +4 more
openaire +1 more source
As cloud-based computation becomes increasingly important, providing a general computational interface to support datacenter-scale programming has become an imperative research agenda. Many cloud systems use existing virtual machine monitor (VMM) technologies, such as Xen, VMware, and Windows Hypervisor, to multiplex a physical host into multiple ...
Zhiqiang Ma +4 more
openaire +1 more source
Programming and Computer Software, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Krukov, V. A., Udovichenko, R. V.
openaire +2 more sources
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Krukov, V. A., Udovichenko, R. V.
openaire +2 more sources