MEST: A Model-Driven Efficient Searching Approach for MapReduce Self-Tuning

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Automatic Generation of a Multi Agent System for Crisis Management by a Model Driven Approach

Considering the increasing occurrences of unexpected events and the need for pre-crisis planning in order to reduce risks and losses, modeling instant response environments is needed more than ever. Modeling may lead to more careful planning for crisis-response operations, such as team formation, task assignment, and doing the task by teams. A common challenge in this way is that the model shou...

متن کامل

Efficient Approach for Semantic Web Searching Using Markov Model

The semantic search usually the web pages for the required information and filter the pages from semantic web searching unnecessary pages by using advanced algorithms. Web pages are vulnerable in answering intelligent semantic search from the user due to the confidence of their consequences on information obtainable in web pages. To get the trusted results semantic web search engines require se...

متن کامل

A Model-Driven Approach for Developing Self-Adaptive Pervasive Systems

Adaptive systems are generally difficult to implement, and their quality depends much on the designer experience or creativity. This paper presents a model driven approach to develop adaptive systems by means of run-time models. Our approach applies techniques from the Software Product Lines (SPLs) to address the different requirements of evolution and involution scenarios in Pervasive Systems....

متن کامل

A Model-driven Approach for Price/Performance Tradeoffs in Cloud-based MapReduce Application Deployment

This paper describes preliminary work in developing a modeldriven approach to conducting price/performance tradeo s for Cloudbased MapReduce application deployment. The need for this work stems from the signi cant variability in both the MapReduce application characteristics and price/performance characteristics of the underlying cloud platform. Our approach involves a model-based machine learn...

متن کامل

An Improvement over Random Early Detection Algorithm: A Self-Tuning Approach

Random Early Detection (RED) is one of the most commonly used Active Queue Management (AQM) algorithms that is recommended by IETF for deployment in the network. Although RED provides low average queuing delay and high throughput at the same time, but effectiveness of RED is highly sensitive to the RED parameters setting. As network condition varies largely, setting RED's parameters with fixed ...

متن کامل

ذخیره 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 Access

سال: 2017

ISSN: 2169-3536

DOI: 10.1109/access.2017.2672675