ARMS-CC 2017 - Workshop on Adaptive Resource Management and Scheduling for Cloud Computing

Nowadays, when we face with numerous data, when data cannot be classified into regular relational databases and new solutions are required, and data are generated and processed rapidly, we need powerful platforms and infrastructure as support. Extracting valuable information from raw data is especially difficult considering the velocity of growing data from year to year and the fact that 80% of data is unstructured. In addition, data sources are heterogeneous (various sensors, users with different profiles, etc.) and are located in different situations or contexts. Cloud Computing, which concerns large-scale interconnected systems with the main purpose of aggregation and efficient exploiting the power of widely distributed resources, represent one viable solution. Resource Management and Task Scheduling play an essential role, in cases where one is concerned with optimized use of resources. This is why Cloud Computing infrastructures runs reliably and permanently to provide the context as a “public utility” to different services.
Cloud systems are highly dynamic in its structure because the user requests must be respected as an agreement rule, so SLA play an essential role. When ubiquitous systems become clients for Cloud systems new algorithm for events and tasks scheduling and new methods for resource management should be designed in order to increase the performance of such systems. The adaptive methods used in context are oriented on: self-stabilizing, self-organizing and autonomic systems; dynamic, adaptive and machine learning based distributed algorithms; fault tolerance, reliability, availability of distributed systems.
As a major goal of the workshop is to explore new directions and approaches for reasoning about resource management in Cloud Computing based on adaptive methods, and to encourage the submission of ongoing work, as well as position papers and case studies of existing verification projects. Also, the workshop offers a forum for both academics and practitioners to share their experience and identify new and emerging trends in this area.