TY - GEN
T1 - On Load Management in Service Oriented Networks (Short Paper)
AU - Elahi, Ehsan
AU - Barron, Jason
AU - Crotty, Micheal
AU - Leon, Miguel Ponce De
AU - Mijumbi, Rashid
AU - Davy, Steven
AU - Staessens, Dimitri
AU - Vrijders, Sander
N1 - Funding Information:
European Commission through the PRISTINE project (Grant 619305)
Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/6
Y1 - 2016/12/6
N2 - In Service-Oriented Architecture (SOA), dedicatedintermediate nodes called load balancers are usually deployed in data centers (DC) in order to balance the load among multiple instances of an application service and to optimize the resource utilization. However, the addition of these nodes increases the installation and operational cost of DCs. These load balancers distribute incoming flows to multiple outgoing ports usually by hashing them. Several techniques are used in order to select the outgoing ports e.g. round robin, queue length, feedback from neighbors etc. Such load balancing approaches do not considergetting live feedback from the service end and therefore are not able to dynamically change the amount of allocated resources. In this paper, a distributed load management scheme isproposed for service oriented networks based on the currentInternet architecture. In this scheme, lightweight interconnected management agents are used to decide the availability for a particular service instance and help in optimal distribution of the flows. The proposed scheme can also be applied in other emerging internetworking architectures such as RINA.
AB - In Service-Oriented Architecture (SOA), dedicatedintermediate nodes called load balancers are usually deployed in data centers (DC) in order to balance the load among multiple instances of an application service and to optimize the resource utilization. However, the addition of these nodes increases the installation and operational cost of DCs. These load balancers distribute incoming flows to multiple outgoing ports usually by hashing them. Several techniques are used in order to select the outgoing ports e.g. round robin, queue length, feedback from neighbors etc. Such load balancing approaches do not considergetting live feedback from the service end and therefore are not able to dynamically change the amount of allocated resources. In this paper, a distributed load management scheme isproposed for service oriented networks based on the currentInternet architecture. In this scheme, lightweight interconnected management agents are used to decide the availability for a particular service instance and help in optimal distribution of the flows. The proposed scheme can also be applied in other emerging internetworking architectures such as RINA.
KW - Future Insternet Architecture
KW - Load Balancing
KW - Load Distribution
KW - RINA
KW - SOA
UR - http://www.scopus.com/inward/record.url?scp=85010654135&partnerID=8YFLogxK
U2 - 10.1109/CloudNet.2016.48
DO - 10.1109/CloudNet.2016.48
M3 - Conference contribution
AN - SCOPUS:85010654135
T3 - Proceedings - 2016 5th IEEE International Conference on Cloud Networking, CloudNet 2016
SP - 254
EP - 257
BT - Proceedings - 2016 5th IEEE International Conference on Cloud Networking, CloudNet 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Cloud Networking, CloudNet 2016
Y2 - 3 October 2016 through 6 October 2016
ER -