Power-Aware Allocation of Graph Jobs in Geo-Distributed Cloud Networks.
Seyyedali HosseinalipourAnuj NayakHuaiyu DaiPublished in: IEEE Trans. Parallel Distributed Syst. (2020)
Keyphrases
- computer networks
- heterogeneous networks
- peer to peer networks
- average degree
- fully connected
- graph theory
- small world
- graph representation
- computing platform
- power consumption
- graph model
- graph structure
- distributed systems
- edge weights
- random graphs
- directed graph
- complex networks
- network nodes
- multi agent
- allocation scheme
- wide area network
- resource allocation
- structured data
- cloud computing
- graph layout
- social networks
- spanning tree
- network analysis
- distributed environment
- random walk
- peer to peer
- biological networks
- graph mining
- single machine scheduling problem
- weighted graph
- community discovery
- bipartite graph
- clustering coefficient
- data center
- computing infrastructure
- overlapping communities
- optimal scheduling