The current rapid growing technology, “Cloud computing” is widely used nowadays in many business sectors because of its services offered at low cost, (i.e.) Pay-as-per-use manner, where the usage is made through the Internet connection. Cloud storage is one of the services provided by the cloud providers to store the user's data in a remote server. Even though the Cloud providers assure that the stored information will be secure and intact, there are many issues that prevail in the Cloud that has to be addressed. Cloud Security and Data Integrity should be provided for user data. Integrity of data should be concrete. Storing of valuable data with cloud storage providers has some security risks. Lack of integrity for data is the major concern in the Cloud Environment. There are many attacks for the loss of data integrity in the Cloud Environment. This survey gives an in-depth analysis about the various security risks and the attacks related to the data integrity with the possible mitigation solution.

American scientific publishing group

Mobile cloud computing promises a research foundation in information and communication technology (ICT). Multi-access edge computing is an intermediate solution that reduces latency by delivering cloud computing services close to IoT and mobile clients (MCs), hence addressing the performance issues of mobile cloud computing. However, the provisioning of resources is a significant and challenging process in mobile cloud-based environments as it organizes the heterogeneous sensing and processing capacities to provide the customers with an elastic pool of resources. Resource provisioning techniques must meet quality of service (QoS) considerations such as availability, responsiveness, and reliability to avoid service-level agreement (SLA) breaches. This investigation is essential because of the unpredictable change in service demands from diverse regions and the limits of MEC’s available computing resources. In this study, resource provisioning approaches for mobile cloud computing are thoroughly and comparatively studied and classified as taxonomies of previous research. The paper concludes with an insightful summary that gives recommendations for future enhancements.