R.I.P.
π»
Ghosted
A FIRM Approach to Software-Defined Service Composition
January 09, 2016 Β· Declared Dead Β· π International Convention on Information and Communication Technology, Electronics and Microelectronics
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Pradeeban Kathiravelu, Tihana Galinac Grbac, LuΓs Veiga
arXiv ID
1601.02131
Category
cs.DC: Distributed Computing
Cross-listed
cs.NI,
cs.SE
Citations
3
Venue
International Convention on Information and Communication Technology, Electronics and Microelectronics
Last Checked
4 months ago
Abstract
Service composition is an aggregate of services often leveraged to automate the enterprise business processes. While Service Oriented Architecture (SOA) has been a forefront of service composition, services can be realized as efficient distributed and parallel constructs such as MapReduce, which are not typically exploited in service composition. With the advent of Software\-Defined Networking (SDN), global view and control of the entire network is made available to the networking controller, which can further be leveraged in application level. This paper presents FIRM, an approach for Software-Defined Service Composition by leveraging SDN and MapReduce. FIRM comprises Find, Invoke, Return, and Manage, as the core procedures in achieving a QoS-Aware Service Composition.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Distributed Computing
R.I.P.
π»
Ghosted
Reproducing GW150914: the first observation of gravitational waves from a binary black hole merger
R.I.P.
π»
Ghosted
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
R.I.P.
π»
Ghosted
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
R.I.P.
π»
Ghosted
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
R.I.P.
π»
Ghosted
iFogSim: A Toolkit for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted