Status of this Memo This memo defines an Experimental Protocol for the Internet community. It does not specify an Internet standard of any kind. Discussion and suggestions for improvement are requested. Distribution of this memo is unlimited.

With the amount increasing, the BIM (Building Information Modeling or Building Information Model) data exchange and sharing face a series of challenges including integration of disparate data models, fast information extraction and data consistency maintenance. Since the existing BIM data storing and transferring method based on neutral files or a centralized database cannot meet the above-mentioned requirements, a framework of distributed BIM service on a private cloud platform was proposed. By this BIM service, multi-stage participants store relevant data on their own servers, which are virtually integrated through a CC (cloud computing) platform to form a logically complete BIM. It supports participants to establish, manage and transfer consistent BIM data efficiently with ensuring of data privacy. To achieve this BIM service, a BIM integration and service platform (BIMISP) based on IFC (Industry Foundation Classes) and CC was developed. Proved by experiments, the research achievements are useful for improving the efficiency and quality of information extraction and delivery, ensuring the safety and legality of data sharing during building lifecycle.

DotSlash allows different web sites to form a mutual-aid community, and use spare capacity in the community to relieve web hotspots experienced by any individual site. As a rescue system, DotSlash intervenes when a web site becomes heavily loaded, and is phased out once the workload returns to normal. It aims to complement the existing web server infrastructure to handle short-term load spikes effectively. DotSlash is self-configuring, scalable, cost-effective, easy to use, and transparent to clients. It targets small web sites, although large web sites can also benefit from it. We have implemented a prototype of DotSlash on top of Apache. Experiments show that using DotSlash a web server can increase the request rate it supported and the data rate it delivered to clients by an order of magnitude, even if only HTTP redirect is used. Parts of this work may be applicable to other services such as Grid computational services. 2 Related Work Caching [29] provides many benefits for web content retrieval, such as reducing bandwidth consumption and client-perceived latency. Caching may appear at several different places, such as client-side proxy caching, intermediate network caching, and server

This paper presents three new mechanisms for the Service Location Protocol (SLP): mesh enhancement, preference filters and global attributes. The mesh enhancement simplifies Service Agent (SA) registrations and improves consistency among Directory Agents (DAs) by defining an interaction scheme for DAs and supporting automatic registration distribution among peer DAs. Preference filters facilitate processing of search results (e.g., finding the best match) in SLP servers (DAs and SAs) to reduce the amount of data transferred to the client for saving network bandwidth. Global attributes allow using a single query to search services across multiple types. These mechanisms can improve SLP efficiency and scalability and support advanced discovery such as discovering multi-access-point services and multi-function devices. We expect that these techniques can also be applied to other service discovery systems.

DotSlash is an automated web hotspot rescue system, which allows different web sites to form a mutual-aid community, and use spare capacity in the community to relieve web hotspots experienced by any individual site. DotSlash rescue services enable a web site to build an adaptive distributed web server system on the fly and replicate application programs dynamically, which relieve a spectrum of bottlenecks ranging from access network bandwidth to web servers and application servers. This paper presents DotSlash Qcache services that allow a web site to use on-demand distributed query result caching to greatly reduce the workload at read-mostly databases. The novelty of this work is that our query result caching is on demand and operated based on load conditions, which offers good data consistency for normal load and good scalability with relaxed data consistency under heavy load. DotSlash Qcache services complement DotSlash rescue services; together they provide a comprehensive solution to address different bottlenecks at multitier web sites. Experiments show that using DotSlash a web site can increase its maximum request rate supported by a factor of 10 for the RUBBoS read-only mix.