The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
The Gross Interest: Service Popularity Aggregation
Abstract
Service popularity, e.g., how often a service is requested, can be an important non-functional property determining the life-cycle of a service. To capture it, the requesting behavior of clients needs to be modeled. In this work, we introduce and discuss: the importance of the service popularity, a generalized requesting model that can capture the requesting behavior of clients, a service popularity measure called “Gross Interest,” and a Gross Interest quantification method. Two extremely different sets of specifications for the proposed generalized requesting model which produce two different Gross Interest scenarios (rich and poor scenarios) are introduced and quantified. As an application example for the service popularity, we show a service replication protocol for Mobile Ad Hoc Networks (MANETs) which realizes and employs service popularity in its replication decisions.
Related Content
Azeem Khan, Noor Zaman Jhanjhi, Dayang Hajah Tiawa Binti Awang Haji Hamid, Haji Abdul Hafidz bin Haji Omar.
© 2024.
30 pages.
|
Siva Raja Sindiramutty, Chong Eng Tan, Sei Ping Lau, Rajan Thangaveloo, Abdalla Hassan Gharib, Amaranadha Reddy Manchuri, Navid Ali Khan, Wee Jing Tee, Lalitha Muniandy.
© 2024.
67 pages.
|
Ruchi Doshi, Kamal Kant Hiran.
© 2024.
16 pages.
|
N. Ambika.
© 2024.
9 pages.
|
Siva Raja Sindiramutty, Wee Jing Tee, Sumathi Balakrishnan, Sukhminder Kaur, Rajan Thangaveloo, Husin Jazri, Navid Ali Khan, Abdalla Gharib, Amaranadha Reddy Manchuri.
© 2024.
54 pages.
|
Azeem Khan, NZ Jhanjhi, Dayang Hajah Tiawa Binti Awang Haji Hamid, Haji Abdul Hafidz bin Haji Omar.
© 2024.
22 pages.
|
Azeem Khan, Noor Zaman Jhanjhi, Dayang Hajah Tiawa Binti Awang Haji Hamid, Haji Abdul Hafidz bin Haji Omar.
© 2024.
36 pages.
|
|
|