Load balancing involves assigning to each processor, work proportional to its performance, minimizing the execution time of the program. Althoughstatic load balancing can solve ma...
Mohammed Javeed Zaki, Wei Li, Srinivasan Parthasar...
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Aggregation refers to a set of functions that provide global information about a distributed system. These functions operate on numeric values distributed over the system and can ...
Larchant-RDOSS is a distributed shared memory that persists on reliable storage across process lifetimes. Memory management is automatic: including consistent caching of data and ...
Time series analysis is a wide area of knowledge that studies processes in their evolution. The classical research in the area tends to find global laws underlying the behaviour o...