TY - GEN
T1 - Utility-based server management strategy in cloud networks
AU - Choi, Eunhye
AU - Song, Suin
AU - Kim, Hyejin
AU - Hong, Jiyeon
AU - Park, Hyunggon
AU - Van Der Schaar, Mihaela
PY - 2013
Y1 - 2013
N2 - Numerous real-time applications are currently deployed over mobile networks - ranging from multimedia streaming, to real-time online games, to video conferences/chat, to real-time stock exchanges, etc. Supporting such applications is challenging because they have very stringent Quality of Service (QoS) requirements in terms of both throughput and delay. To address this challenge, in this paper, we propose to assist such mobile applications by a cloud-based network environment, which consists of multiple servers and clients (users). In cloud networks, servers can create multiple replica of the popular content in order to provide the needed QoS for the various service requests of the users. However, in order to efficiently provide services to the potentially large amount of service requests, it is essential for servers to strategically respond to the requests from users. Since the strategic response involves the resource management of the servers, we design a strategy which explicitly considers the service requests (e.g., service types, data priorities, delay constraints) as well as the servers' resource usages (e.g., current loads of servers, contributions of servers). Since the servers are strategic, they will aim to maximize their own utilities. Simulation results verify that the proposed approach enables servers to manage their resources more efficiently compared to existing approaches, thereby providing prioritized data processing and operating in a desired range and leading also to an improved performance for the users.
AB - Numerous real-time applications are currently deployed over mobile networks - ranging from multimedia streaming, to real-time online games, to video conferences/chat, to real-time stock exchanges, etc. Supporting such applications is challenging because they have very stringent Quality of Service (QoS) requirements in terms of both throughput and delay. To address this challenge, in this paper, we propose to assist such mobile applications by a cloud-based network environment, which consists of multiple servers and clients (users). In cloud networks, servers can create multiple replica of the popular content in order to provide the needed QoS for the various service requests of the users. However, in order to efficiently provide services to the potentially large amount of service requests, it is essential for servers to strategically respond to the requests from users. Since the strategic response involves the resource management of the servers, we design a strategy which explicitly considers the service requests (e.g., service types, data priorities, delay constraints) as well as the servers' resource usages (e.g., current loads of servers, contributions of servers). Since the servers are strategic, they will aim to maximize their own utilities. Simulation results verify that the proposed approach enables servers to manage their resources more efficiently compared to existing approaches, thereby providing prioritized data processing and operating in a desired range and leading also to an improved performance for the users.
KW - Cloud networks
KW - data priority
KW - server contribution
KW - server utility
UR - http://www.scopus.com/inward/record.url?scp=84902981077&partnerID=8YFLogxK
U2 - 10.1109/GLOCOMW.2013.6825031
DO - 10.1109/GLOCOMW.2013.6825031
M3 - Conference contribution
AN - SCOPUS:84902981077
SN - 9781479928514
T3 - 2013 IEEE Globecom Workshops, GC Wkshps 2013
SP - 464
EP - 469
BT - 2013 IEEE Globecom Workshops, GC Wkshps 2013
PB - IEEE Computer Society
T2 - 2013 IEEE Globecom Workshops, GC Wkshps 2013
Y2 - 9 December 2013 through 13 December 2013
ER -