Scheduling is essentially a decision-making process that enables resource sharing among a
number of activities by determining their execution order on the set of available resources …

Cloud computing is required by modern technology. Task scheduling and resource
allocation are important aspects of cloud computing. This paper proposes a heuristic …

MapReduce/Hadoop framework has been widely used to process large-scale datasets on
computing clusters. Scheduling map tasks with data locality consideration is crucial to the …

The tremendous growth of virtualization technology in cloud environment reflects the
increasing number of tasks that require the services of the virtual machines (VMs). To …

An Infrastructure-as-a-service (IaaS) cloud is a new paradigm which offers computing and
storage services in form of virtual machines to the cloud users. Due to increasing demand …

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 …

This article studies the PBFT-based sharded permissioned blockchain, which executes in
either a local datacenter or a rented cloud platform. In such permissioned blockchain, the …

Fog computing has become the primary infrastructure on the Internet for improving the
quality of service. We consider a fog queueing system with limited infrastructure resources to …

Abstract Multiserver-job (MSJ) systems, where jobs need to run concurrently across many
servers, are increasingly common in practice. The default service ordering in many settings …

Data centers are the backbone of cloud infrastructure platform to support large-scale data
processing and storage. More and more business-to-consumer and enterprise applications …