Caching as a Service: Small-Cell Caching Mechanism Design for Service Providers
نویسندگان
چکیده
منابع مشابه
Quaestor: Query Web Caching for Database-as-a-Service Providers
Today, web performance is primarily governed by round-trip latencies between end devices and cloud services. To improve performance, services need to minimize the delay of accessing data. In this paper, we propose a novel approach to low latency that relies on existing content delivery and web caching infrastructure. The main idea is to enable application-independent caching of query results an...
متن کاملA Caching Mechanism for Semantic Web Service Discovery
The discovery of suitable Web services for a given task is one of the central operations in Service-oriented Architectures (SOA), and research on Semantic Web services (SWS) aims at automating this step. For the large amount of available Web services that can be expected in real-world settings, the computational costs of automated discovery based on semantic matchmaking become important. To mak...
متن کاملSemantic Caching for Service Oriented Architectures
This document presents an overview of a proposed PhD thesis on semantic caching for increasing the efficiency of web-based serviceoriented architectures. Such systems aim at dynamically detecting and executing Web services for solving client requests. For real world applications, there will be a very large number of Web services available on the Internet. The bottleneck that hampers efficiency ...
متن کاملCacheMakers : A Co-operative DNS Caching Service
The Domain Name System (DNS) is used to map easy to remember hostnames to Internet Protocol (IP) addresses in the Internet. When a user enters a URL in the browser window its cache is first checked for this mapping. If it results in a cache miss the request is passed to the configured local name server (LNS). If the LNS cache, too, cannot resolve the URL it recursively contacts several name ser...
متن کاملCollaborative Service Caching for Edge Computing in Dense Small Cell Networks
Mobile Edge Computing (MEC) pushes computing functionalities away from the centralized cloud to the proximity of data sources, thereby reducing service provision latency and saving backhaul network bandwidth. Although computation offloading has been extensively studied in the literature, service caching is an equally, if not more, important design topic of MEC, yet receives much less attention....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Wireless Communications
سال: 2016
ISSN: 1536-1276
DOI: 10.1109/twc.2016.2594199