With the growth in computing technologies, cloud computing has added a new paradigm to
user services that allows accessing Information Technology services on the basis of pay-per …

Static scheduling of a program represented by a directed task graph on a multiprocessor
system to minimize the program completion time is a well-known problem in parallel …

Experience from an operational Map-Reduce cluster reveals that outliers significantly
prolong job completion. e causes for outliers include run-time contention for processor …

Load balancing is the process of redistributing the work load among nodes of the distributed
system to improve both resource utilization and job response time while also avoiding a …

Load Balancing in Parallel Computers: Theory and Practice is about the essential software
technique of load balancing in distributed memory message-passing parallel computers …

Cloud computing has proposed a new perspective for provisioning the large-scale
computing resources by using virtualization technology and a payper-use cost model. Load …

In this paper, we present a game theoretic approach to solve the static load balancing
problem for single-class and multi-class (multi-user) jobs in a distributed system where the …

System state estimation and decision making are the two major components of dynamic task
scheduling in a distributed computing system. Combinations of solutions to each individual …

Multiagent computing on a cluster of workstations is widely envisioned to be a powerful
paradigm for building useful distributed applications. The agents of the system span across …

Rapid growth in communication technology allows users location-independent access to IT
infrastructure at pay-per-use via cloud computing. This has paved a new paradigm in …