Virtual cluster is a useful resource descriptive model, in terms of virtual machines (VMs) and link bandwidth, for many data center applications that require predictable performance. Bandwidth-constrained data centers often use reservation schemes to ...

The cloud lock-in problem is commonly addressed by three strategies: (i) use of intermediate layer between cloud services consumers and providers, (ii) use of standardized interfaces to access cloud services, or (iii) use of models with open ...

The automatic discovery of dependencies in distributed Cloud applications is very useful for large scale deployments. Dependencies can be used to identify the anomalies due to errors, failures or the performance bottleneck in applications. Although ...

While various platforms are offering facilities for single-cloud application design, deployment and provisioning, there is a need to move to multiple clouds in order to achieve cost-effectiveness and avoid vendor lock-in. Apart from not supporting multi-...

Detection of anomalies in large Cloud infrastructure is challenging. Understanding operational behavior of Cloud is extremely difficult due to the heterogeneity of different technologies, virtualized platforms and complex interactions among the systems. ...

Numerous service providers in the cloud market provide diverse services, at distinct price and level of competence. However, the concept of cloud computing is yet to reach many organizations and to the end users as well. With perspective of these ...

Although many current Cloud computing platforms are still based on virtual machines running on hyper visors, there are two trends towards a more flexible and efficient Cloud computing paradigm. One trend is the Resource-as-a-Service (RaaS) based Cloud, ...

We present Mycocloud, a fully self-organized approach to service placement. Mycocloud supports service elasticity within a network of hosts with heterogeneous computational capacity. Mycocloud proposes a completely decentralized algorithm that ...

Advances in Cloud Computing attracted scientists to deploy their HPC applications to the cloud to benefit from the flexibility of the platform such as scalability and on-demand services. Nevertheless, HPC programs can face serious challenges in the ...

Concern about data leakage is holding back more widespread adoption of cloud computing by companies and public institutions alike. To address this, cloud tenants/applications are traditionally isolated in virtual machines or containers. But an emerging ...

Cloud computing promises flexible integration of the compute capabilities for on-demand access through the concept of virtualization. However, uncertainties are raised regarding the high availability of the cloud-hosted applications. High availability ...

Workflow technologies have become an efficient mean for the development of different applications. One well known challenge for executing workflows on cloud computing is the resources provisioning. The latter consists in making an appropriate decision ...

Live virtual machine (VM) migration enables seamless movement of an online server from one location to another to achieve failure recovery, load balancing, and system maintenance. Beyond single VM migration, a multi-tier application involves a group of ...

The fast proliferation of cloud computing promotes the rapid development of large-scale commercial data centers. Tens or even hundreds of geographically distributed data centers have been deployed for better reliability and quality of services. This ...

Cloud services are transforming many computing tasks, but the unique requirements of scientific computing have caused it to lag behind in cloud adoption because of the performance variation of cloud resources. Based on our experience with the Organic ...

This paper presents Roboconf, an open-source distributed application orchestration framework for multi-cloud platforms, designed to solve challenges of current Autonomic Computing Systems in the era of Cloud computing. It provides a Domain Specific ...

In this paper, we present a scalable parallel virtual machine planning and fail over method that enables high availability at a VM level in a data center. The solution is implemented and used in IBM's CMS enterprise private cloud as a high availability ...

As the cloud services journey through their lifecycle towards becoming commodities, the demand is increasing for "pay-per-use" pricing model. In this model, users are charged for the amount of resources, e.g., Volume of transactions, CPU usage, etc., ...

Infrastructure-as-a-Service (IaaS) clouds can be viewed as distributed systems of cloud services that are entrusted to execute users' cloud commands to provision and manage clouds computing resources (e.g., VM). However, recent vulnerabilities found in ...