MIDDLEWARE

Attacks on the heap are an increasingly severe threat. State-of-the-art secure dynamic memory allocators can offer protection, however their memory footprint is high, making them suboptimal in many situations. We introduce Slim-Guard, a secure allocator ...

With in-memory key-value caches such as Redis and Memcached being a key component for many systems to improve throughput and reduce latency, cloud caches have been widely adopted for small companies to deploy their own cache systems. However, data ...

Exploiting opportunistic memory by oversubscription is an appealing approach to improving cluster utilization and throughput. In this paper, we find the efficacy of memory oversubscription depends on whether or not the oversubscribed tasks can be killed ...

Serverless computing is an emerging paradigm that greatly simplifies the usage of cloud resources and suits well to many tasks. Most notably, Function-as-a-Service (FaaS) enables programmers to develop cloud applications as individual functions that can ...

Despite extensive research on Byzantine Fault Tolerant (BFT) systems, overheads associated with such solutions preclude widespread adoption. Past efforts such as the Cross Fault Tolerance (XFT) model address this problem by making a weaker assumption ...

Scaling data-structures up to the increasing number of cores provided by modern systems is challenging. The quest for scalability is complicated by the non-uniform memory accesses (NUMA) of multi-socket machines that often prohibit the effective use of ...

Deep learning (DL) is becoming increasingly popular in several application domains and has made several new application features involving computer vision, speech recognition and synthesis, self-driving automobiles, drug design, etc. feasible and ...

The large penetration and continued growth in ownership of personal electronic devices represents a freely available and largely untapped source of computing power. To leverage those, we present Pando, a new volunteer computing tool based on a ...

With the increased adaption of blockchain technologies, permissioned blockchains such as Hyperledger Fabric provide a robust ecosystem for developing production-grade decentralized applications. However, the additional latency between executing and ...

Remote computation has numerous use cases such as cloud computing, client-side web applications or volunteer computing. Typically, these computations are executed inside a sandboxed environment for two reasons: first, to isolate the execution in order ...

With the increasing development of handheld devices, Location Based Services (LBSs) became very popular in facilitating users' daily life with a broad range of applications (e.g. traffic monitoring, geo-located search, geo-gaming). However, several ...

Today, software operation engineers rely on application key performance indicators (KPIs) for sizing and orchestrating cloud resources dynamically. KPIs are monitored to assess the achievable performance and to configure various cloud-specific ...

Streaming applications exhibit abundant opportunities for pipeline parallelism, data parallelism and task parallelism. Prior work in IBM Streams introduced an elastic threading model that sought the best performance by automatically tuning the number of ...

The demand for additional performance due to the rapid increase in the size and importance of data-intensive applications has considerably elevated the complexity of computer architecture. In response, systems offer pre-determined behaviors based on ...

Video on Demand (VoD) streaming is the largest source of Internet traffic. Efficient and scalable VoD requires Content Delivery Networks (CDNs) whose cost are prohibitive for many providers. An alternative is to cache and serve video content using end-...

Today's big data clusters based on the MapReduce paradigm are capable of executing analysis jobs with multiple priorities, providing differential latency guarantees. Traces from production systems show that the latency advantage of high-priority jobs ...

Complex event processing systems process the input event streams on-the-fly. Since input event rate could overshoot the system's capabilities and results in violating a defined latency bound, load shedding is used to drop a portion of the input event ...

State machine replication (SMR) is a well-known approach to implementing fault-tolerant services, providing high availability and strong consistency. To boost the performance of SMR, some proposals execute independent commands concurrently, while ...

A long-standing promise of Byzantine Fault-Tolerant (BFT) replication is to maintain the service correctness despite the presence of malicious failures. The key challenge here is how to ensure replicas fail independently, i.e., avoid that a single ...

Control mechanisms of stream processing applications (SPAs) that ensure latency bounds at minimal runtime cost mostly target a specific infrastructure, e.g., homogeneous nodes. With the growing popularity of the Internet of Things, fog, and edge ...

System level provenance is of widespread interest for applications such as security enforcement and information protection. However, testing the correctness or completeness of provenance capture tools is challenging and currently done manually. In some ...

Approximate Query Processing has become increasingly popular as larger data sizes have increased query latency in distributed query processing systems. To provide such approximate results, systems return intermediate results and iteratively update these ...

Real-time event identification is critical in complex distributed infrastructures, e.g., water systems, where failures are difficult to isolate. We present AquaEIS, an event-based middleware tailored to the problem of locating sources of failure (e.g., ...

Production networks are transitioning from the use of physical middleboxes to virtual network functions (VNFs), which makes it easy to construct highly-customized service chains of VNFs dynamically using software. Wide-area service chains are ...

Efficient and correct operation of an IoT network requires the presence of a failure detector and membership protocol amongst the IoT nodes. This paper presents a new failure detector for IoT settings where nodes are connected via a wireless ad-hoc ...