The computing demand for massive applications has led to the ubiquitous deployment of
computing power. This trend results in the urgent need for higher-level computing resource …

Workload balancing in cloud computing is still challenging problem, especially in
Infrastructure as a Service (IaaS) in the cloud model. A problem that should not occur during …

Datacenter operations today provide a plethora of new queueing and scheduling problems.
The notion of a “job” has become more general and multi-dimensional. The ways in which …

Cloud computing today is dominated by multi-server jobs. These are jobs that request
multiple servers simultaneously and hold onto all of these servers for the duration of the job …

Multiserver queueing systems are found at the core of a wide variety of practical systems.
Many important multiserver models have a previously-unexplained similarity: identical mean …

Multiserver-job systems, where jobs require concurrent service at many servers, occur
widely in practice. Much is known in the dropping setting, where jobs are immediately …

Multiserver jobs, which are jobs that occupy multiple servers simultaneously during service,
are prevalent in today's computing clusters. But little is known about the delay performance …

We consider the problem of scheduling jobs with multiple-resource requirements (CPU,
memory, and disk) in a distributed server platform, motivated by data-parallel and cloud …

Efficient resource scheduling is one of the most critical issues for big data centers in clouds
to provide continuous services for users. Many existing scheduling schemes based on tasks …

In the era of big-data, the jobs submitted to the clouds exhibit complicated structures
represented by graphs, where the nodes denote the sub-tasks each of which can be …