![]() ![]() Additionally, INS/Twine handles resource and resolver dynamism by treating all data as soft-state. Our system maps resources to resolvers by transforming descriptions into numeric keys in a manner that preserves their expressiveness, facilitates even data distribution and enables efficient query resolution. This paper describes the design, implementation, and evaluation of INS/Twine, an approach to scalable intentional resource discovery, where resolvers collaborate as peers to distribute resource information and to resolve queries. This is normally achieved through directory services (also called resolvers), which store resource information and resolve queries. With increasingly large and dynamic computing environments comes the challenge of scalable resource discovery, where client applications search for resources (services, devices, etc.) on the network by describing some attributes of what they are looking for. The decreasing cost of computing technology is speeding the deployment of abundant ubiquitous computation and communication. Keywords: service selection, streaming, UPnP Some delay grew higher, which could be affected by the increase of service providers’ load. There were anomalies at some scenarios though. Experiments prove that the optimization reduces average end-to-end delay between clients and multimedia streaming service providers at the rate of 35.343%. In this study, a method of optimizing the UPnP-based service selection of multimedia streaming for dynamic condition is proposed. Implementations of multimedia streaming applications in dynamic environment, where there might be changes on delay, packet loss, and the availability of services at service providers, causes the urgency of optimization in existing service selection mechanism. Client applications just fetch a service from a number of service providers in the network, even randomly. On existing multimedia streaming applications, service selection is done without any prioritizing. Service selection will be held based on current condition of the network, such as delay and packet loss. The selection of the most appropriate service is to be done automatically by UPnP clients. In a condition where some hosts run same services, how clients select them becomes one interesting issue. The process of service discovery in dynamic environment should reduce manual configuration, enable automatic discovery and optimal service selection, and also offer up-to-date services available. It arranges addressing, discovery, description, and also device and service selection. UPnP works at a network supporting multicast messages. Universal Plug and Play (UPnP) enables networking without manual configuration and administration. Kata kunci: pemilihan layanan, streaming, UPnP ![]() Dari hasil percobaan, terbukti bahwa optimasi tersebut menurunkan end-to-end delay rata-rata antara klien dengan penyedia layanan streaming multimedia sebesar 35,343%, meski terdapat anomali pada beberapa skenario, yaitu naiknya end-to-end delay rata-rata, yang bisa jadi dipengaruhi oleh peningkatan beban kerja penyedia layanan. Pada penelitian ini diusulkan metode dalam melakukan optimasi pada pemilihan layanan streaming multimedia berbasis UPnP untuk kondisi dinamis, yaitu kondisi di mana dapat terjadi perubahan pada delay, packet loss, dan ketersediaan layanan. Implementasi aplikasi streaming multimedia di lingkungan dinamis menyebabkan perlunya optimasi terhadap mekanisme pemilihan layanan yang sudah ada. ![]() Aplikasi klien mengambil begitu saja salah satu layanan streaming multimedia dari sejumlah perangkat penyedia layanan di jaringan, bahkan secara acak. Pada aplikasi-aplikasi streaming multimedia berbasis UPnP yang ada, pemilihan layanan dilakukan tanpa penentuan prioritas sama sekali. Pemilihan layanan dilaksanakan berdasarkan parameter yang mencerminkan kondisi jaringan saat itu, seperti delay dan packet loss. Pemilihan layanan yang paling sesuai dapat dilakukan secara otomatis oleh klien UPnP. Pada kondisi di mana beberapa host menyediakan layanan yang sama, bagaimana klien memilih layanan menjadi permasalahan tersendiri. Proses penemuan layanan dalam lingkungan dinamis harus mengurangi konfigurasi manual, memungkinkan penemuan otomatis dan pemilihan layanan yang optimal, serta menawarkan secara terkini layanan-layanan yang tersedia. Ia mengatur pengalamatan, penemuan, deskripsi, serta pemilihan perangkat dan layanan. UPnP bekerja pada jaringan yang mendukung pesan multicast. Universal Plug and Play (UPnP) memungkinkan adanya jaringan tanpa konfigurasi dan administrasi manual. ![]()
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