Enhanced LISP Mapping System for Optimizing Service Path in Edge Computing Environment

Abstract

In the evolution of mobile networks, edge computing is a key technology, which provides services with proximity to users and enables various services to be operated in a virtualized platform for mobile users. Particularly, services commonly used by multiple mobile users can be simultaneously operated at multiple edge nodes, which allows users to use the service of the closest node to their access point. However, to provide session continuity for a service when the user moves, a method for optimizing the service path along with the mobility management of the user is required. In this paper, we propose an enhanced control system using the locator/identifier separation protocol to provide service path optimization with mobility management. This was achieved by integrating the location information of the service and the session information between the service and the users. The operating cost and handoff latency were analyzed. The analysis results show that the proposed system can provide an optimal service path to mobile users through fewer message exchanges and less delay than existing approaches.

LISP-Based Integrated Control Plane Framework for Service Function Chaining in Distributed Edge Clouds

“…In a previous work [17], we proposed an enhanced LISP mapping system that allows new ingress nodes to quickly reconfigure the routing state of a moving user, including intermediate services, by extending the User ID (UID) mapping table to include services bound to traffic paths. In consideration of service equivalency, we assigned a globally unique ID to each service and defined a SID mapping system that manages the location information of the service instances of the same SID that are deployed over distributed clouds.…”

“…While considering the packets sent by the moving user, the new xTR can request mapping information for the packet to the LISP mapping system only when the data packet is received in the new xTR, and the previous flow states are not maintained. In the previous study [17], this state information was extended to the UID mapping system by providing the binding information for a single service by extending a field called "Mapped SID" so that the session state can be maintained when the user location is updated. In this paper, we define a "Mapped SR-list" field instead of the "Mapped SID" field in the UID mapping system.…”

“…Even if the mobility of the user increases, mobility management can be performed more effectively by separating the context of the IP address into an identifier and a locator without directly updating the routing table of all switches. Moreover, in our previous work, which was based on the Location/Identifier Separation Protocol (LISP) [16], a method was proposed that provides seamless and optimized service function relocation for end-to-end traffic even when the user moves [17]. However, the aforementioned study only considered a single service function of edge computing for end-to-end traffic.…”

LISP-Based Control Plane for Service Connectivity in Multi-Cluster Cloud Systems

“…The traditional method to solve this problem is to adapt IP mobility management to service mobility management, which maintains service IP addresses even when the service location is changed [2][3][4][5], however the traffic path cannot be optimized by anchoring the address at the edge cloud, where the service is initially instantiated. To solve this problem, several methods have been researched to separate the IP context into the ID and location [6][7][8][9][10]. In particular, in our previous studies [9][10] the location/ID separation protocol (LISP) [11] was used to assign a unique service regardless of its location.…”

“…To solve this problem, several methods have been researched to separate the IP context into the ID and location [6][7][8][9][10]. In particular, in our previous studies [9][10] the location/ID separation protocol (LISP) [11] was used to assign a unique service regardless of its location. With the enhanced mapping system of the service ID and its locator, our work verified that the nearest service is always accessed while minimizing the service downtime even when the mobile user is rapidly roaming across multiple edge clouds.…”