TY - GEN
T1 - SLA-Aware adaptive on-demand data broadcasting in wireless environments
AU - Popescu, Adrian Daniel
AU - Sharaf, Mohamed A.
AU - Amza, Cristiana
PY - 2009
Y1 - 2009
N2 - In mobile and wireless networks, data broadcasting for popular data items enables the efficient utilization of the limited wireless bandwidth. However, efficient data scheduling schemes are needed to fully exploit the benefits of data broadcasting. This motivated the proposal of several broadcast scheduling policies, which have mostly focused on either minimizing response time, or drop rate when requests are associated with hard deadlines. The inherent inaccuracy of hard deadlines in a dynamic mobile environment motivated us to use Service Level Agreements (SLAs) where a user specifies the utility of data as a function of its arrival time. Moreover, SLAs provide the mobile user with an already familiar quality of service specification from wired environments. Hence, in this paper, we propose SAAB which is an SLA-aware adaptive data broadcast scheduling policy for maximizing the system utility under SLA-based performance measures. To achieve this goal, SAAB considers both the characteristics of disseminated data objects as well as the SLAs associated with them. Additionally, SAAB automatically adjusts to the system workload conditions which enables it to constantly outperform existing on-demand broadcast scheduling policies.
AB - In mobile and wireless networks, data broadcasting for popular data items enables the efficient utilization of the limited wireless bandwidth. However, efficient data scheduling schemes are needed to fully exploit the benefits of data broadcasting. This motivated the proposal of several broadcast scheduling policies, which have mostly focused on either minimizing response time, or drop rate when requests are associated with hard deadlines. The inherent inaccuracy of hard deadlines in a dynamic mobile environment motivated us to use Service Level Agreements (SLAs) where a user specifies the utility of data as a function of its arrival time. Moreover, SLAs provide the mobile user with an already familiar quality of service specification from wired environments. Hence, in this paper, we propose SAAB which is an SLA-aware adaptive data broadcast scheduling policy for maximizing the system utility under SLA-based performance measures. To achieve this goal, SAAB considers both the characteristics of disseminated data objects as well as the SLAs associated with them. Additionally, SAAB automatically adjusts to the system workload conditions which enables it to constantly outperform existing on-demand broadcast scheduling policies.
UR - http://www.scopus.com/inward/record.url?scp=70349516281&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349516281&partnerID=8YFLogxK
U2 - 10.1109/MDM.2009.25
DO - 10.1109/MDM.2009.25
M3 - Conference contribution
AN - SCOPUS:70349516281
SN - 9780769536507
T3 - Proceedings - IEEE International Conference on Mobile Data Management
SP - 142
EP - 151
BT - Proceedings - 2009 10th International Conference on Mobile Data Management
T2 - 2009 10th International Conference on Mobile Data Management: Systems, Services and Middleware, MDM 2009
Y2 - 18 May 2009 through 20 May 2009
ER -