Abstract
Edge storage, as a supplement to cloud storage, reduces latency by providing services in a timely and efficient manner near the source. In a collaborative edge storage datacenter network (CESN), not only does the edge storage datacenter (ESDC) that is closest to the user provide services, but multiple ESDCs work together to provide better services. In this collaborative work mechanism, different application session requests create large persistent multicast flows with diverse performance requirements. Existing multicast scheduling methods such as unicast shortest path (USP) and static single tree (SST) do not consider flow characteristics or performance requirements. In this paper, we first modeled the multicast flow scheduling problem in a CESN. The model is based on different types of flows with diverse network requirements. Then, we tailored a multicast flow scheduling method based on multiple-attribute decision-making and a genetic algorithm (MDGA). MDGA selects appropriate multicast routing paths for flows in a CESN by considering the requested flow types and network status. The experimental results show that the proposed MDGA method can balance network loads and reduce the average transmission delay for high-priority flows better than USP and SST.
Highlights
With the rapid development of the Internet of Everything (IoE), the growing data storage requirement is posing a complex technical challenge for the IT community
This challenge can be overcome by using an edge storage system, which employs a group of small edge storage datacenters (ESDCs) to process data in a timely and efficient manner near the source [3]
We first proposed a multicast flow scheduling optimization model based on different types of flows with diverse network requirements
Summary
With the rapid development of the Internet of Everything (IoE), the growing data storage requirement is posing a complex technical challenge for the IT community. The collaborative edge storage mechanism is a storage paradigm in which multiple ESDCs collaborate with each other through the edge network to share data and storage capacity and satisfy global goals In this collaborative edge storage datacenter network (CESN), a variety of applications often replicate or share data among ESDCs to improve data reliability and quality of experience (QoE) for end-users [7]. We focus on the flow scheduling problem in CESNs. previous works have shown the effectiveness of deploying flow scheduling methods to improve service performance in inter-datacenter networks, it is still a challenge to tailor a specific multicast routing mechanism for CESNs to improve QoE performance for data flows from diverse applications. It is a challenge to build appropriate multicast trees for flow scheduling to achieve network load balance under the premise of improving QoE performance for diverse applications.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
