With the development of cloud computing and the advent of the Web 2.0 era, composing a set of Web services as a service process is becoming a common practice to provide more functional services. However, a service process involves multiple service invocations over the network, which incurs a huge time cost and could become a bottleneck to performance. To accelerate its execution, we propose an engine-side cache-block-based service process caching strategy (CBPCS). It is based on, and derives its advantages from, three key ideas. First, the invocation of Web services embodies semantics, which enables the application of semantic-based caching. Second, cache blocks are identified from a service process, and each block is equipped with a separate cache so that the time overhead of service invocation and caching can be minimized. Third, a replacement strategy is introduced taking into account time and space factors to manage the space allocation for a process with multiple caches. The algorithms and methods used in CBPCS are introduced in detail. Moreover, how CBPCS can be applied to multiple service process models is also investigated. Finally, CBPCS is validated via comparison experiments, which shows the considerable improvements of CBPCS over other strategies.

中文翻译：

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CBPCS

随着云计算的发展和Web 2.0时代的到来，将一组Web服务组合成一个服务流程，提供更多功能的服务正在成为一种普遍的做法。然而，一个服务过程涉及到网络上的多个服务调用，这会产生巨大的时间成本，并可能成为性能瓶颈。为了加速其执行，我们提出了一种基于引擎端缓存块的服务进程缓存策略（CBPCS）。它基于三个关键思想并从中获得优势。首先，Web 服务的调用体现了语义，这使得基于语义的缓存应用成为可能。其次，缓存块是从一个服务进程中识别出来的，每个块都配备一个单独的缓存，这样可以最大限度地减少服务调用和缓存的时间开销。第三，引入了考虑时间和空间因素的替换策略来管理具有多个缓存的进程的空间分配。详细介绍了CBPCS中使用的算法和方法。此外，还研究了如何将 CBPCS 应用于多个服务流程模型。最后，通过比较实验验证了 CBPCS，这表明 CBPCS 相对于其他策略有相当大的改进。