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14 pages, 1441 KB  
Article
A Performance Evaluation of In-Memory Databases Operations in Session Initiation Protocol
by Ali Al-Allawee, Pascal Lorenz, Abdelhafid Abouaissa and Mosleh Abualhaj
Network 2023, 3(1), 1-14; https://doi.org/10.3390/network3010001 - 28 Dec 2022
Cited by 4 | Viewed by 4529
Abstract
Real-time communication has witnessed a dramatic increase in recent years in user daily usage. In this domain, Session Initiation Protocol (SIP) is a well-known protocol found to provide trusted services (voice or video) to end users along with efficiency, scalability, and interoperability. Just [...] Read more.
Real-time communication has witnessed a dramatic increase in recent years in user daily usage. In this domain, Session Initiation Protocol (SIP) is a well-known protocol found to provide trusted services (voice or video) to end users along with efficiency, scalability, and interoperability. Just like other Internet technology, SIP stores its related data in databases with a predefined data structure. In recent, SIP technologies have adopted the real advantages of in-memory databases as cache systems to ensure fast database operations during real-time communication. Meanwhile, in industry, there are several names of in-memory databases that have been implemented with different structures (e.g., query types, data structure, persistency, and key/value size). However, there are limited resources and poor recommendations on how to select a proper in-memory database in SIP communications. This paper provides recommended and efficient in-memory databases which are most fitted to SIP servers by evaluating three types of databases including Memcache, Redis, and Local (OpenSIPS built-in). The evaluation has been conducted based on the experimental performance of the impact of in-memory operations (store and fetch) against the SIP server by applying heavy load traffic through different scenarios. To sum up, evaluation results show that the Local database consumed less memory compared to Memcached and Redis for read and write operations. While persistency was considered, Memcache is the preferable database selection due to its 25.20 KB/s for throughput and 0.763 s of call–response time. Full article
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18 pages, 147 KB  
Article
Australian Case Studies in Mobile Commerce
by Jonathan O'Donnell, Margaret Jackson, Marita Shelly and Julian Ligertwood
J. Theor. Appl. Electron. Commer. Res. 2007, 2(2), 1-18; https://doi.org/10.3390/jtaer2020010 - 1 Aug 2007
Cited by 27 | Viewed by 1257
Abstract
Sixteen wireless case studies highlight issues relating to mobile commerce in Australia. The issues include: the need for a clear business case; difficulty of achieving critical mass and acceptance of a new service; training and technical issues, as well as staff acceptance issues; [...] Read more.
Sixteen wireless case studies highlight issues relating to mobile commerce in Australia. The issues include: the need for a clear business case; difficulty of achieving critical mass and acceptance of a new service; training and technical issues, as well as staff acceptance issues; that privacy and security issues arise through the potential to track the location of people and through the amounts of personal data collected; difficulties in integrating with existing back-end systems; projects being affected by changes to legislation, or requiring changes to the law; and that while there is potential for mobile phone operators to develop new billing methods that become new models for issuing credit, they are not covered by existing credit laws. We have placed the case studies in a Fit-Viability framework and analyzed the issues according to key success criteria. While many organizations are keen to use the technology, they are struggling to find a compelling business case for adoption and that without a strong business case projects are unlikely to progress past the pilot stage. Full article
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