Component migration with enterprise JavaBeans (poster session)
OOPSLA '00 Addendum to the 2000 proceedings of the conference on Object-oriented programming, systems, languages, and applications (Addendum)
Saving portable computer battery power through remote process execution
ACM SIGMOBILE Mobile Computing and Communications Review
TOPAS - Parallel Programming Environment for Distributed Computing
ICCS '02 Proceedings of the International Conference on Computational Science-Part I
DDG Task Recovery for Cluster Computing
PPAM '01 Proceedings of the th International Conference on Parallel Processing and Applied Mathematics-Revised Papers
Application Recovery in Parallel Programming Environment
Proceedings of the 9th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Migration of enterprise JavaBeans with ProActive Interposition Objects
ACM SIGPLAN Notices
Post-copy based live virtual machine migration using adaptive pre-paging and dynamic self-ballooning
Proceedings of the 2009 ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
Post-copy live migration of virtual machines
ACM SIGOPS Operating Systems Review
A run-time task migration scheme for an adjustable issue-slots multi-core processor
ARC'12 Proceedings of the 8th international conference on Reconfigurable Computing: architectures, tools and applications
Runtime resource allocation for software pipelines
Proceedings of the 16th International Workshop on Software and Compilers for Embedded Systems
Hi-index | 0.00 |
Process migration has been advocated as a means of improving the load balancing and reliability of distributed systems. This paper reviews the major design issues for process migration algorithms, such as the amount of state information to be transferred and times at which information should be transferred. This examination demonstrates the existence of a process migration algorithm which has not previously been documented. After describing existing algorithms, the new algorithm is given and compared to the other algorithms. The new algorithm promises better load balancing results while avoiding residual dependencies