<p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">This book reflects on the foundations and real-world situations for the special case of resource-aware communication systems. The surge in sensors and communication devices has brought in an explosion of data, necessitating a greater demand for computational resources for processing tasks, posing serious challenges to the optimal sharing of available resources among users, rendering the resource-sharing proposition even intractable at times.</span></p><p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">&#xa0;</span><span lang="EN-US" style="mso-ansi-language: EN-US;">By introducing a generic relational framework, the contributory chapters treat the resource-sharing problem as an optimization problem with reference to the optimal utilization of the underlying resources to attain user satisfaction and fairness among users in resource access. Case studies highlighting specific resource-aware intelligent communication systems are also presented for the completeness of the treatment.</span></p><p class="MsoNormal"><span lang="EN-US" style="mso-ansi-language: EN-US;">&#xa0;</span><span lang="EN-US" style="mso-ansi-language: EN-US;">The intended audience includes communication technologists and computational scientists.</span></p><p>&#xa0;</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Resource-Aware Intelligent Communication Systems

  • Mario Köppen,
  • Masato Uchida,
  • Masato Tsuru,
  • Włodzimierz Ogryczak,
  • Siddhartha Bhattacharyya

摘要

This book reflects on the foundations and real-world situations for the special case of resource-aware communication systems. The surge in sensors and communication devices has brought in an explosion of data, necessitating a greater demand for computational resources for processing tasks, posing serious challenges to the optimal sharing of available resources among users, rendering the resource-sharing proposition even intractable at times.

 By introducing a generic relational framework, the contributory chapters treat the resource-sharing problem as an optimization problem with reference to the optimal utilization of the underlying resources to attain user satisfaction and fairness among users in resource access. Case studies highlighting specific resource-aware intelligent communication systems are also presented for the completeness of the treatment.

 The intended audience includes communication technologists and computational scientists.