Abstract Worst-case resource usage provides a useful guidance in the design, configuration and deployment of software, especially when it runs under context with limited amount resources. Static resource-bound analysis can provide sound upper bounds worst-case but may too conservative, even unbounded, results. In this paper, we present resource-usage-aware fuzzing approach to estimate usage. Th...

Hadoop MapReduce framework is an important distributed processing model for large-scale data intensive applications. The current Hadoop and the existing Hadoop distributed file system’s rack-aware data placement strategy in MapReduce in the homogeneous Hadoop cluster assume that each node in a cluster has the same computing capacity and a same workload is assigned to each node. Default Hadoop d...

The automatic determination of the quantitative resource consumption of programs is a classic research topic which has many applications in software development. Recently, we developed a novel multivariate amortized resource analysis that automatically computes polynomial resource bounds for first-order functional programs. In this tool paper, we describe Resource Aware ML (RAML), a functional ...

Recently, Opportunistic Networks (OppNets) are considered to be one of the most attractive developments Mobile Ad Hoc that have arisen thanks development intelligent devices. OppNets characterized by a rough and dynamic topology as well unpredictable contacts contact times. Data is forwarded stored in intermediate nodes until next opportunity occurs. Therefore, achieving high delivery ratio cha...

This chapter discusses current approaches to these problems, and uses the in the Active Harmony system as a running example. Harmony supports an interface that allows applications to export tuning alternatives to the higher-level system. By exposing different parameters that can be changed at runtime, applications can be automatically adapted to changes in their execution environment caused by ...

The era of big data has led to the emergence of new systems for real-time distributed stream processing, e.g., Apache Storm is one of the most popular stream processing systems in industry today. However, Storm, like many other stream processing systems, lacks many important and desired features. One important feature is elasticity with clusters running Storm, i.e. change the cluster size on de...

Network slicing allows Mobile Operators to split the physical infrastructure into isolated virtual networks (slices), managed by Service Providers accommodate customized services. The Function Chains (SFCs) belonging a slice are usually deployed on best-effort premise: nothing guarantees that network resources will be sufficient support varying number of users, each with uncertain requirements....